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Collin N Smith,1 John D Kraemer,2 Andrea C Johnson,1 Darren Mays1 1Department of Oncology, Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Washington, DC, USA; 2Department of Health Systems Administration, School of Nursing and Health Studies, Georgetown University, Washington, DC, USA Abstract: Tobacco industry marketing is a primary factor influencing cigarette smoking behavior and the cigarette pack has become an important marketing vehicle for tobacco companies. Standardized “plain” cigarette packaging is advocated as a public health policy to prevent and reduce morbidity and mortality caused by smoking by reducing youth smoking initiation and promoting cessation among smokers. Plain packaging was implemented in Australia in December 2012, and several other countries are considering doing so, but each faces foreseeable legal resistance from opponents to such measures. Tobacco companies have challenged these public health policies, citing international trade agreements and intellectual property laws. Decision-making in these court cases will hinge in part on whether the evidence indicates the public health benefits of plain packaging outweigh any potential harm to tobacco manufacturers’ interests. We reviewed the available evidence in support of plain packaging, finding evidence from observational, experimental, and population-based studies. Results indicate that plain packaging can reduce positive perceptions of smoking and dissuade tobacco use. Governments deciding to implement plain cigarette packaging measures can rely on this evidence to help make a strong case that plain packaging plays an important role in the context of comprehensive smoking prevention efforts. Keywords: cigarette smoking, tobacco, plain packaging, regulation, policy

Objectives: A great deal of literature documents the significant demands, both physical and psychosocial, that care partners experience when providing care to persons with a range of health conditions. There is, however, far less research available on care partners of adult persons who are d/Deaf or hard of hearing (d/DHH). In response to this gap, the authors developed measures of d/DHH stigma among care partners as part of the work of the Lancet Commission on Hearing Loss' Measures, Models, and Stigma Reduction Subgroup. The measures examined in this article are part of a larger set of parallel measures to enable comparison of stigma measurement across groups., Design: The present study describes the preliminary validation of five stigma scales specifically tailored for use to assess the prevalence and effect of stigma on the care partners of adult people who are d/DHH in the United States. Care partners in this context are defined broadly and can include spouses, partners, adult children, siblings, and friends of persons who are d/DHH. The scales describe the care partner's own assessment of how the person who is d/DHH experiences and perceives stigma as well as the care partner's own internalized, experienced, and perceived stigma as a result of their association with a person who is d/DHH. This latter set of three scales describes secondary stigma, or the stigma a person experiences related to their association with a member of a stigmatized group. Measures were developed through a process that included a literature review, Delphi groups with people who became d/DHH after they developed spoken language, cognitive interviews, and a pretest. An online, self-administered preliminary validation survey was conducted with 151 care partners., Results: Results support the internal reliability of each of the five stigma scales (ordinal α's all greater than 0.9) and that each scale is assessing a single factor., Conclusions: Additional testing is needed to confirm the validity of these measures. After further validation, they can be used to assess the prevalence and effect of stigma on care partners of persons who are d/DHH and to evaluate the success of interventions developed to address stigma and its effects both on the care partner and the person who is d/DHH and receiving the care., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: Although hearing devices such as cochlear implants and hearing aids often improve communication, many people who are d/Deaf or hard of hearing (d/DHH) choose not to use them. Hearing device-related stigma, or negative societal beliefs about people who use hearing devices, often drives this decision. Although much research has documented the negative effects of hearing device-related stigma, no widely accepted, validated measure to quantify such stigma across populations currently exists. In this article, we describe the preliminary validation of four distinct but related scales measuring hearing device-related stigma in different populations, including people who use hearing devices and those close to them., Design: We preliminarily validated four measures for quantifying hearing device-related stigma in different populations that were previously developed and refined through a literature review, Delphi interviews, cognitive interviews, and a pretest. We preliminarily validated these measures through self-administered online surveys in a convenience sample in the United States. Among participants who use a hearing device and who either (a) self-identified as being d/DHH before they developed language (lifelong; n = 78) or (b) those who self-identified as having acquired a d/DHH identity after they developed language (acquired n = 71), we validated an anticipated hearing device-related stigma scale (d/DHHS-LE-HDA). We validated three scales that measure perceived hearing device-related stigma observed by parents of children who are d/DHH and who use a hearing device (n = 79) (d/DHHS-P-HDPO), care partners of adults who are d/DHH and use a hearing device (n = 108) (d/DHHS-CP-HDPO), and health care providers (n = 203) (d/DHHS-HCP-HDSH). Exploratory factor analysis assessed the reliability of each measure., Results: Each of the four scales loaded onto one factor. Factor loadings for the eight-item scale measuring anticipated hearing device-related stigma among the two populations with lived experience ranged from 0.635 to 0.910, with an ordinal α of 0.93 in the lifelong d/DHH participants and 0.94 among the acquired d/DHH participants. The six-item scale of perceived stigma observed by parents had item loadings from 0.630 to 0.920 (α = 0.91). The nine-item scale of hearing device-related stigma observed by care partners had item loadings from 0.554 to 0.922 (α = 0.95). The eight-item scale of hearing device-related stigma reported by health care providers had item loadings from 0.647 to 0.941 (α = 0.89)., Conclusions: Preliminary validation results show that the four stigma measures perform well in their respective populations. The anticipated stigma scale performed similarly well for both lifelong d/DHH and acquired d/DHH, which suggests that it could perform well in different contexts. Future research should further validate the scales described here as well as measure hearing device-related stigma in different populations-including people who live in different geographic regions and people using different kinds of hearing devices-and evaluate the success of interventions developed to reduce hearing device-related stigma., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

People who are d/Deaf or hard of hearing (d/DHH) often experience stigma and discrimination in their daily lives. Qualitative research describing their lived experiences has provided useful, in-depth insights into the pervasiveness of stigma. Quantitative measures could facilitate further investigation of the scope of this phenomenon. Thus, under the auspices of the Lancet Commission on Hearing Loss, we developed and preliminarily validated survey measures of different types of stigma related to d/Deafness and hearing loss in the United States (a high-income country) and Ghana (a lower-middle income country). In this introductory article, we first present working definitions of the different types of stigma; an overview of what is known about stigma in the context of hearing loss; and the motivation underlying the development of measures that capture different types of stigma from the perspectives of different key groups. We then describe the mixed-methods exploratory sequential approach used to develop the stigma measures for several key groups: people who are d/DHH, parents of children who are d/DHH, care partners of people who are d/DHH, healthcare providers, and the general population. The subsequent manuscripts in this special supplement of Ear and Hearing describe the psychometric validation of the various stigma scales developed using these methods., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

In this special supplement of Ear and Hearing, we have presented preliminarily validated measures for stigma related to being d/Deaf or hard of hearing (d/DHH) in the United States and Ghana. In this concluding article, we suggest avenues for the future refinement and use of these measures. First, the measures should be further validated. Second, they should be used to assess the current state of d/DHH stigma and the importance of different kinds of stigma in different populations, which should in turn drive the development of interventions to reduce d/DHH stigma. Third, these measures can assist in evaluating the effectiveness and cost-effectiveness of those interventions. The evidence from this work can then inform investment cases and cost-of-condition studies, which will support advocacy efforts and policy development for reducing stigma and improving the lives of people who are d/DHH., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: Parents are integral to the development and overall well-being of their child. Previous research has studied the emotional effects parenting experiences have on parents. However, parents caring for children with disabilities have unique parenting experiences, filled with both victories and challenges. Parenting a child with disabilities can bring additional responsibilities as parents respond to their child's special needs. Specifically, parents of children who are d/Deaf or hard of hearing (d/DHH) are required to make ongoing life-changing decisions about their child's life, including mode of communication, medical care, and education. Across the world, many adults who are d/DHH experience stigma. However, less is known about the stigma faced by children who are d/DHH and their parents. Measuring the nature and magnitude of stigma-affecting parents of children who are d/DHH could offer insights into how to additionally support these parents. Nonetheless, there is a gap in validated scales to measure stigma among parents of children who are d/DHH. In response, we developed and preliminarily validated five measures of stigma among parents of children who are d/DHH., Design: Measures were developed through a mixed-method process: (1) a scoping literature review, (2) a modified Delphi process consisting of two group discussions (n = 3, n = 4) and two individual discussions with parents of children who are d/DHH from high-income countries (HICs) and low- and middle-income countries (LMICs), (3) cognitive interviews with parents of children who are d/DHH in the United States (U.S.) (n = 5) and Ghana (n = 5), and (4) a pretest of the survey in the U.S. (n = 28) and Ghana (n = 30). Modifications to the measures were made after each stage. This article focuses on evaluating the psychometric performance of the developed measures. Parents were recruited in the U.S. (n = 100) and Ghana (n = 173). Convenience sampling was used in both countries. In Ghana, survey administration was in-person with trained interviewers collecting data on tablets. In the U.S. data were collected online through self-administered surveys., Results: The final five scales measured: (1) parental observation of stigma their child experiences (seven items), (2) parental perceptions of stigma toward their child (eight items), (3) parental secondary experienced stigma (eight items), (4) perceived parental secondary stigma (five items), and (5) parental internalized stigma (seven items). All scales performed strongly and similarly across both country samples. The scales had ordinal αs ranging from 0.864 to 0.960, indicating strong reliability., Conclusions: This study provides a set of preliminarily validated stigma measures to capture the experience of parents of children who are d/DHH. Measuring stigma among parents is critical to understanding parental mental health, as parental well-being affects the health and development of their child. Furthermore, measuring observed stigma by parents can allow the researcher to gain an understanding of the stigma experienced by children who are d/DHH that they may not be able to communicate. Further studies testing these measures across other countries and with more diverse samples are needed., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: Ageism appears widely across the globe and poses an important threat to older people's well-being and health. With respect to hearing health, experiences, perceptions, and fear of ageism can delay the diagnosis of hearing loss, reduce pursuit of hearing care, and fuel reluctance to wear a hearing device. Ageism intertwines with hearing loss stigma, which potentially deepens the negative effects of both; however, little evidence exists to quantify the effects of the intersection of ageism and hearing loss stigma. This lack of data on both hearing loss stigma and ageism, and their intersection, may stem from the lack of validated measures for both. Therefore, as part of a parent study to develop and preliminarily validate d/Deaf and hard of hearing stigma measures, we also adapted and preliminarily validated measures of both experienced and observed ageism., Design: We adapted four ageism measures through a literature review, expert discussions, and cognitive interviews and validated them in the United States through self-administered online surveys with convenience samples of (1) people aged 60 and older who became d/Deaf or hard of hearing (d/DHH) after developing language or in adulthood ("acquired" d/DHH), (2) care partners of people aged 60 or older who are d/DHH (acquired), (3) health care providers, and (4) the general population. For each of the scales, we applied exploratory factor analysis and estimated scale reliability with ordinal α., Results: For the population of persons over age 60 who are d/DHH (acquired) (N = 146), nine social stigma items and four employment discrimination items loaded well onto two separate factors, one which measures social stigma and one which measures employment discrimination. All loadings were >0.7. The two factors were moderately correlated at 0.428. For care partners of people aged 60 or older who are d/DHH (N = 72), nine items loaded well onto a single factor, with loadings between 0.650 and 0.936 and an ordinal α of 0.95. Among the general population (N = 312), 10 items loaded cleanly onto a single factor, with loadings between 0.702 and 0.919 and an ordinal α of 0.96. For the health care providers (N = 203), 11 items loaded well onto a single factor, with loadings between 0.541 and 0.874. For these three populations, each of the single factors measure social stigma., Conclusions: Ageism threatens the health and wellbeing of older people in both high- and low-income countries. Validated measures of ageism are necessary to understand the relationship between ageism, d/DHH stigma and the well-being of older adults and to design effective ageism-reduction and mitigation interventions. This preliminary validated set of experienced ageism measures offers a starting point for more studies that not only further validate these measures but are larger in scale, occur in more diverse settings, and provide insights into the experience of ageism and its effects on the health and well-being of older adults., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: In this article, we examine the psychometric performance of 3 scales measuring experienced, perceived, and internalized d/Deaf or hard of hearing (d/DHH) stigma among adult (18 and older) populations of individuals who are d/DHH, including those who have been d/DHH since before they developed language (lifelong) and those who became d/DHH after they developed language (acquired) in the United States and Ghana., Design: The preliminary validation study took place in the Greater Accra and Eastern regions of Ghana and across the United States. In the United States, all data were collected online via self-administered surveys in English. In Ghana, trained interviewers who are d/DHH and fluent in Ghanaian Sign Language conducted interviews with participants who are lifelong d/DHH using a video survey. Ghanaian participants with acquired d/DHH status were surveyed by trained hearing interviewers. We calculated polychoric correlation matrices between the measures to remove redundant and unrelated items and used exploratory factor analysis to create the final scales. We also tested the association between the factor scores and a simple summing method for calculating the scale., Results: The study sample included people who have been d/DHH since before they developed language (Ghana: n = 171, United States n = 100) and people who became d/DHH after they developed language (Ghana: n = 174, United States: n = 219). The final experienced, perceived, and internalized scales included six, seven, and five items, respectively. All three scales performed well as unidimensional measures across all four samples. Across the four samples, the experienced, perceived, and internalized stigma scales yielded ordinal αs ranging from 0.725 to 0.947, 0.856 to 0.935, and 0.856 to 0.935, respectively. It would be acceptable to operationalize all stigma scales as sum-of-item scores., Conclusions: The scales performed well and appear to provide a valid means of measuring different types of stigma among diverse groups of people who are d/DHH. Future work should refine and validate these scales in additional contexts., Competing Interests: The authors have no conflicts of interest to disclose. This work was supported in part from a central fund for the Lancet Commission on Hearing Loss whose contributors included RTI International in the Research Triangle Park, NC, USA, and the Provost’s Office, the School of Medicine, the Chancellor for Health Affairs, the Pratt School of Engineering, the Duke Global Health Institute, and the Department of Head and Neck Surgery and Communication Sciences at Duke University in Durham, NC, USA. In addition, further support for the present work was kindly and generously provided by RTI International and by the Department of Head and Neck Surgery and Communication Sciences at Duke. And finally, other aspects of the Lancet Commission were supported financially or with in-kind contributions by the National Institute on Deafness and Other Communication Disorders in Bethesda, MD, USA, the National Institute on Aging in Bethesda, MD, USA, the Fondation Pour L’Audition in Paris, France, the Duke Clinical & Translational Science Institute, and the World Health Organization in Geneva, Switzerland. There are no conflicts of interest, financial, or otherwise., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: The maternal continuum of care (CoC) (antenatal care, facility-based delivery, postnatal care) is critical to maternal and neonatal health and reducing mortality, but completion in rural areas of low- and middle-income countries is often limited. We used repeated cross-sectional household surveys from a rural Liberian county to explore changes in rates of completion of all steps and no steps in the maternal CoC after implementation of the National Community Health Assistant Program (NCHAP), a community health worker (CHW) intervention designed to increase care uptake for families over five kilometers from a facility., Methods: We analyzed repeated cross-sectional household surveys of women aged 18-49 served by NCHAP in Rivercess County, Liberia. We measured survey-weighted, before-to-after implementation difference in completion of all steps and no steps in the maternal CoC. We used multivariable regression to explore covariates associated with completion rates before and after NCHAP implementation., Results: Data from surveys conducted at three timepoints (2015, n = 354; 2018, n = 312; 2021, n = 302) were analyzed. A significant increase in completing the full maternal CoC (2015:23.6%, 2018:53.4%, change:29.7% points (pp), 95% confidence interval (CI) [21.0,38.4]) and a decrease in completing no steps in the CoC (2015:17.6%, 2018:4.0%, change: -12.4pp [-17.6, -7.2]) after implementation of NCHAP were observed from 2015 to 2018, with rates maintained from 2018 to 2021. Living farther from a facility was consistently associated with less care across the continuum. Following implementation, living in a motorbike accessible community was associated with completing the CoC while living in a mining community was negatively associated with omitting the CoC. Household wealth was associated with differences in rates pre-NCHAP but not post-NCHAP., Conclusions: Following NCHAP implementation, completion rate of the full maternal CoC in Rivercess County more than doubled while the rate of completing no steps in the continuum fell below 5%. These rates were sustained over time including during COVID-19 with reduced differences across wealth groups, although far distances remained a risk for less care. CHW programs providing active outreach to remote communities can be important tools for improving uptake of interventions and reducing risk of no formal care during and after pregnancy., (© 2023. The Author(s).)

A number of scientific publications and commentaries have suggested that standard preparedness indices such as the Global Health Security Index (GHSI) and Joint External Evaluation (JEE) scores did not predict COVID-19 outcomes. To some, the failure of these metrics to be predictive demonstrates the need for a fundamental reassessment which better aligns preparedness measurement with operational capacities in real-world stress situations, including the points at which coordination structures and decision-making may fail. There are, however, several reasons why these instruments should not be so easily rejected as preparedness measures.From a methodological point of view, these studies use relatively simple outcome measures, mostly based on cumulative numbers of cases and deaths at a fixed point of time. A country's "success" in dealing with the pandemic is highly multidimensional - both in the health outcomes and type and timing of interventions and policies - is too complex to represent with a single number. In addition, the comparability of mortality data over time and among jurisdictions is questionable due to highly variable completeness and representativeness. Furthermore, the analyses use a cross-sectional design, which is poorly suited for evaluating the impact of interventions, especially for COVID-19.Conceptually, a major reason that current preparedness measures fail to predict pandemic outcomes is that they do not adequately capture variations in the presence of effective political leadership needed to activate and implement existing system, instill confidence in the government's response; or background levels of interpersonal trust and trust in government institutions and country ability needed to mount fast and adaptable responses. These factors are crucial; capacity alone is insufficient if that capacity is not effectively leveraged. However, preparedness metrics are intended to identify gaps that countries must fill. As important as effective political leadership and trust in institutions, countries cannot be held accountable to one another for having good political leadership or trust in institutions. Therefore, JEE scores, the GHSI, and similar metrics can be useful tools for identifying critical gaps in capacities and capabilities that are necessary but not sufficient for an effective pandemic response., (© 2023. BioMed Central Ltd., part of Springer Nature.)

High COVID-19 vaccine hesitancy in South Africa limits protection against future epidemic waves. We evaluated how vaccine hesitancy and its correlates evolved April 2021-April 2022 in a well-characterized rural KwaZulu-Natal setting. All residents aged >15 in the Africa Health Research Institute's surveillance area were invited to complete a home-based, in-person interview. We described vaccine uptake and hesitancy trends, then evaluated associations with pre-existing personal factors, dynamic environmental context, and cues to action using ordinal logistic regression. Among 10,011 respondents, vaccine uptake rose as age-cohorts became vaccine-eligible before levelling off three months post-eligibility; younger age-groups had slower uptake and plateaued faster. Lifetime receipt of any COVID-19 vaccine rose from 3.0% in April-July 2021 to 32.9% in January-April 2022. Among 7,445 unvaccinated respondents, 47.7% said they would definitely take a free vaccine today in the first quarter of the study time period, falling to 32.0% in the last. By March/April 2022 only 48.0% of respondents were vaccinated or said they would definitely would take a vaccine. Predictors of lower vaccine hesitancy included being male (adjusted odds ratio [aOR]: 0.70, 95% confidence interval [CI]: 0.65-0.76), living with vaccinated household members (aOR:0.65, 95%CI: 0.59-0.71) and knowing someone who had had COVID-19 (aOR: 0.69, 95%CI: 0.59-0.80). Mistrust in government predicted greater hesitancy (aOR: 1.47, 95%CI: 1.42-1.53). Despite several COVID-19 waves, vaccine hesitancy was common in rural South Africa, rising over time and closely tied to mistrust in government. However, interpersonal experiences countered hesitancy and may be entry-points for interventions., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Piltch-Loeb et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

As many low- and middle-income countries scale up community health worker (CHW) programmes to achieve universal health coverage, ensuring quality as well as access is critical. Health system responsiveness (HSR) is a core domain of quality patient-centred care but has not been widely measured in CHW-delivered care. We report results from a household survey measuring HSR and health systems' quality of CHW-delivered care in two Liberian counties where the national CHW programme of Community Health Assistants (CHAs) for communities ≥5 km from a health centre has been implemented. We conducted a cross-sectional population-based household survey in 2019 in Rivercess (RC) and Grand Gedeh (GG) counties, using a two-stage cross-sectional cluster sampling approach. We included validated HSR questions on six responsiveness domains and patient-reported health system outcomes, such as satisfaction and trust in the CHA's skills and abilities. The HSR questions were administered to women aged 18-49 years who reported seeking care from a CHA in the 3 months prior to the survey. A composite responsiveness score was calculated and divided into tertiles. Multivariable analysis using Poisson regression with log link and adjusting for respondent characteristics was used to determine the association between responsiveness and patient-reported health system outcomes. The proportion of individuals rating responsiveness as very good or excellent was similar across all domains within a district, with ratings being lower in RC (23-29%) than in GG (52-59%). High ratings in both counties were seen for high trust in the CHA's skills and abilities (GG 84%, RC 75%) and high confidence in the CHA (GG 58%, RC 60%). Compared with women in the lowest responsiveness tertile (score ≤3), women in the highest tertile (score $ \ge $4.25) were significantly more likely to report high quality of CHA-delivered care (prevalence ratio, PR = 14.1), very good/excellent at meeting health needs (PR = 8.0), high confidence in the CHA to provide future care (PR = 2.4), and a high level of trust in CHA's skills and abilities (PR = 1.4). Controlling for respondent characteristics, the composite responsiveness score was significantly associated with all patient-reported health system outcomes (P < 0.001). We found that HSR was associated with important patient-reported health system quality outcomes, including satisfaction, trust, and confidence in the CHA. Measuring patients' experience and outcomes of care is important to complement more common measures of technical quality for CHW-delivered care to ensure that this domain of quality is central to the community health programme design and delivery., (© The Author(s) 2023. Published by Oxford University Press on behalf of International Society for Quality in Health Care.)

Background: The expansion of cellular phones in sub-Saharan Africa spurred the development of SMS text message-based mobile health (mHealth) technology. Numerous SMS text message-based interventions have attempted to increase retention in care for people living with HIV in sub-Saharan Africa. Many of these interventions have failed to scale. Understanding theory-grounded factors leading to mHealth acceptability is needed to create scalable, contextually appropriate, and user-focused interventions to improve longitudinal HIV care for people living with HIV in sub-Saharan Africa., Objective: In this study, we aimed to understand the relationship between constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT), constructs identified in previous qualitative research, and behavioral intention to use a novel SMS text message-based mHealth intervention designed to improve care retention among people living with HIV initiating treatment in rural Uganda., Methods: We conducted a survey of people living with HIV who were newly initiating HIV care in Mbarara, Uganda, and had agreed to use a novel SMS text message-based system that notified them of abnormal laboratory results and reminded them to return to the clinic. Survey items assessed behavioral intention to use the SMS text messaging system; constructs from UTAUT; and demographics, literacy, SMS text messaging experience, HIV status disclosure, and social support. We used factor analysis and logistic regression to estimate the relationships between UTAUT constructs and the behavioral intention to use the SMS text messaging system., Results: A total of 249 participants completed the surveys, of whom 115 (46.2%) expressed high behavioral intention to use the SMS text messaging intervention. In a multivariable analysis, we found that performance expectancy (adjusted odds ratio [aOR] of the scaled factor score 5.69, 95% CI 2.64-12.25; P<.001), effort expectancy (aOR of the scaled factor score 4.87, 95% CI 1.75-13.51; P=.002), and social influence (measured as a 1-unit Likert score increase in the perception that clinical staff have been helpful in the use of the SMS text messaging program; aOR 3.03, 95% CI 1.21-7.54; P=.02) were significantly associated with high behavioral intention to use the SMS text messaging program. SMS text messaging experience (aOR/1-unit increase 1.48, 95% CI 1.11-1.96; P=.008) and age (aOR/1-year increase 1.07, 95% CI 1.03-1.13; P=.003) were also significantly associated with increased odds of high intention to use the system., Conclusions: Performance expectancy, effort expectancy, and social influence, as well as age and SMS experience, were drivers of high behavioral intention to use an SMS text messaging reminder system among people living with HIV initiating treatment in rural Uganda. These findings highlight salient factors associated with SMS intervention acceptability in this population and indicate attributes that are likely to be key to the successful development and scaling of novel mHealth interventions., (©Jeffrey I Campbell, Isaac Aturinda, Evans Mwesigwa, Annabella Habinka, Michael Kanyesigye, Richard J Holden, Mark J Siedner, John D Kraemer. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 05.05.2023.)

Background: Interviewer effects can have consequential impacts on survey data, particularly for reporting sensitive attitudes and behaviours such as sexual activity and drug use, yet these effects remain understudied in low- and middle-income countries. The Demographic and Health Surveys (DHS) present a unique opportunity to study interviewer effects on the self-report of sensitive topics in low- and middle-income countries by including interviewer characteristics data. This paper aims to narrow the gap in research on interviewer effects by studying the effects that age difference between interviewer and respondent and interviewer survey experience have on the reporting of ever having sexual intercourse., Methods: We used DHS data from 91 066 women and 56 336 men in 21 countries where the standard DHS was implemented among all women of reproductive age, and interviewer characteristics were included in the data set. Using a Bayesian cross-classified model with random intercepts for interviewer and cluster, we assessed whether the effect of an age difference of 10 years or greater was associated with a difference in self-report of ever having sexual intercourse, adjusting for respondent demographics., Results: There was a meaningful association between an age difference of greater than ten years and reporting of ever having had sexual intercourse in most countries for both genders after adjusting for interviewer age and experience, rural or urban cluster, and individual-level characteristics. Among women, the marginal posterior probability of reporting ever having sexual intercourse if the interviewer was ten years or more years older was lower for 17 of 19 countries (countries ranged from -12.50 to 3.90 percentage points). Among men, the marginal posterior probability was lower for 16 of 20 countries, ranging from -18.30 to 17.10 percentage points., Conclusions: In most countries, women and men were less likely to report ever having sexual activity if the interviewer was ten or more years older than them, adjusting for potential confounders. These findings have important implications for interpreting numerous sexual health indicators, such as unmet family planning needs and human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) risk. Survey administrators may consider more careful interviewer-respondent characteristic matching or novel approaches like Audio Computer Assisted Self Interview to minimize interviewer-induced variance., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2023 by the Journal of Global Health. All rights reserved.)

Background: Health security funding is intended to improve capacities for preventing, detecting, and responding to public health emergencies. Recent years have witnessed substantial increases in the amounts of donor financial assistance to health security from countries, philanthropies, and other development partners. To date, no work has examined the effects of assistance on health security capacity development over time. This paper presents an analysis of the time-lagged effects of assistance for health security (AHS) on levels of capacity., Methods: We collected publicly available health security assessment scores published between 2010 and 2019 and data relating to financial AHS. Using validated methods, we rescaled assessment scores on analogous scales to enable comparison and binned them in quartiles. We then used a distributed lag model (DLM) in a Bayesian ordinal regression framework to assess the effects of AHS on capacity development over time., Results: Strong evidence exists for associations between financial assistance and select capacities on a variety of lagged time intervals. Financial assistance had positive effects on zoonotic disease capacities in the year it was disbursed, and positive effects on legislation, laboratory, workforce, and risk communication capacities one year after disbursal. Financial assistance had negative effects on laboratory and emergency response capacities two years after it was disbursed. Financial assistance did not have measurable effects on coordination, antimicrobial resistance (AMR), food safety, biosafety, surveillance, or response preparedness capacities over the timeframe considered., Conclusion: Financial AHS is associated with positive effects for several core health security capacities. However, for the majority of capacities, levels of funding were not significantly associated with capacity level, though we cannot fully exclude endogeneity. Future work should continue to investigate these relationships in different contexts and examine other factors that may contribute to capacity development., (© 2022 The Author(s); Published by Kerman University of Medical Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.)

Liberia launched its National Community Health Assistant Program in 2016, which seeks to ensure that all people living 5 kilometers or farther from a health facility have access to trained, supplied, supervised, and paid community health workers (CHWs). This study aims to evaluate the impact of the national program following implementation in Grand Bassa County in 2018 using data from population-based surveys that included information on 1291 illness episodes. We measured before-to-after changes in care for childhood illness by qualified providers in a portion of the county that implemented in a first phase compared to those which had not yet implemented. We also assessed changes in whether children received oral rehydration therapy for diarrhea and malaria rapid diagnostic tests if they had a fever by a qualified provider (facility based or CHW). For these analyses, we used a difference-in-differences approach and adjusted for potential confounding using inverse probability of treatment weighting. We also assessed changes in the source from which care was received and examined changes by key dimensions of equity (distance from health facilities, maternal education, and household wealth). We found that care of childhood illness by a qualified provider increased by 60.3 percentage points (95%CI 44.7-76.0) more in intervention than comparison areas. Difference-in-differences for oral rehydration therapy and malaria rapid diagnostic tests were 37.6 (95%CI 19.5-55.8) and 38.5 (95%CI 19.9-57.0) percentage points, respectively. In intervention areas, care by a CHW increased from 0 to 81.6% and care from unqualified providers dropped. Increases in care by a qualified provider did not vary significantly by household wealth, remoteness, or maternal education. This evaluation found evidence that the Liberian National Community Health Assistant Program has increased access to effective care in rural Grand Bassa County. Improvements were approximately equal across three measured dimensions of marginalization., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2022 White et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

During the summer of 2021, a narrative of "two Americas" emerged: one with high demand for the COVID-19 vaccine and the second with widespread vaccine hesitancy and opposition to masks and vaccines. We analyzed "excess mortality" rates (the difference between total deaths and what would have been expected based on earlier time periods) prepared by the CDC for the United States from January 3, 2020 to September 26, 2021. Between Jan. 3, 2020 and Sept. 26, 2021, there were 895,693 excess deaths associated with COVID-19, 26% more than reported as such. The proportion of deaths estimated by the excess mortality method that was reported as COVID-19 was highest in the Northeast (92%) and lowest in the West (72%) and South (76%). Of the estimated deaths, 43% occurred between Oct. 4, 2020 and Feb. 27, 2021. Before May 31, 2020, approximately 56% of deaths were in the Northeast, where 17% of the population resides. Subsequently, 48% of deaths were in the South, which makes up 38% of the population. Since May 31, 2020, the South experienced COVID-19 mortality 26% higher than the national rate, whereas the Northeast's rate was 42% lower. If each region had the same mortality rate as the Northeast, more than 316,234 COVID-19 deaths between May 31, 2020 and Sept. 26, 2021 were "avoidable." More than half (63%) of the avoidable deaths occurred between May 31, 2020 and February, 2021, and more than half (60%) were in the South. Regional differences in COVID-19 mortality have been strong throughout the pandemic. The South has had higher mortality rates than the rest of the U.S. since May 31, 2020, and experienced 62% of the avoidable deaths. A comprehensive COVID-19 policy, including population-based restrictions as well as vaccines, is needed to control the pandemic., Competing Interests: The authors have declared that no competing interests exist.

Population-based seroprevalence surveys can provide useful estimates of the number of individuals previously infected with serious acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and still susceptible, as well as contribute to better estimates of the case-fatality rate and other measures of coronavirus disease 2019 (COVID-19) severity. No serological test is 100% accurate, however, and the standard correction that epidemiologists use to adjust estimates relies on estimates of the test sensitivity and specificity often based on small validation studies. We have developed a fully Bayesian approach to adjust observed prevalence estimates for sensitivity and specificity. Application to a seroprevalence survey conducted in New York State in 2020 demonstrates that this approach results in more realistic-and narrower-credible intervals than the standard sensitivity analysis using confidence interval endpoints. In addition, the model permits incorporating data on the geographical distribution of reported case counts to create informative priors on the cumulative incidence to produce estimates and credible intervals for smaller geographic areas than often can be precisely estimated with seroprevalence surveys., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Limited evidence exists about associations between road crash injury and economic status in sub-Saharan Africa from large, population-based data sets. Existing studies generally do not incorporate fatal crashes. This study aims to understand the relationship between relative wealth and road crash injury and severity using population-representative cross-sectional data from Uganda's 2016 Demographic and Health Survey ., Methods: One-year road crash risk was flexibly modelled as a function of wealth using fractional polynomial models, stratified by sex and rural/urban residence. Wealth was operationalised as 1/20th quantiles of the first principal component from a polychoric principal component analysis. Injury severity was coded as a three-level ordinal variable; associations with wealth were modelled with ordinal logistic regression on quintiles of relative wealth, stratified by residence., Results: Overall, injury risk peaked in the upper middle of the wealth distribution. Rural resident injury risk increased monotonically with wealth. Urban resident risk had an upside-down U shape. Risk peaked in the distribution's middle at about double the lowest levels. Only urban men had higher risk among the least wealthy than most wealthy (3.2% vs 1.7%; difference=1.5 percentage points, 95% CI 0.2 to 2.7). Among those with road crash injuries, greater relative wealth was associated with decreased likelihood of more severe injury (33.2 percentage points lower in the highest category than lowest, 95% CI 18.4 to 48.1) or death (5.9 percentage points, 95% CI -0.1 to 11.8) for urban residents but not rural residents., Conclusion: Relationships between relative wealth and injury risk and severity are complex and different for urban and rural Ugandans., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: Community health workers (CHWs) can provide lifesaving treatment for children in remote areas, but high-quality care is essential for effective delivery. Measuring the quality of community-based care in remote areas is logistically challenging. Clinical vignettes have been validated in facility settings as a proxy for competency. We assessed feasibility and effectiveness of clinical vignettes to measure CHW knowledge of integrated community case management (iCCM) in Liberia's national CHW program., Methods: We developed 3 vignettes to measure knowledge of iCCM illnesses (malaria, diarrhea, and pneumonia) in 4 main areas: assessment, diagnosis, treatment, and caregiver instructions. Trained nurse supervisors administered the vignettes to CHWs in 3 counties in rural Liberia as part of routine program supervision between January and May 2019, collected data on CHW knowledge using a standardized checklist tool, and provided feedback and coaching to CHWs in real time after vignette administration. Proportions of vignettes correctly managed, including illness classification, treatment, and referral where necessary, were calculated. We assessed feasibility, defined as the ability of clinical supervisors to administer the vignettes integrated into their routine activities once per year for each CHW, and effectiveness, defined as the ability of the vignettes to measure the primary outcomes of CHW knowledge of diagnosis and treatment including referrals., Results: We were able to integrate this assessment into routine supervision, facilitate real-time coaching, and collect data on iCCM knowledge among 155 CHWs through delivery of 465 vignettes. Diagnosis including severity was correct in 65%-82% of vignettes. CHWs correctly identified danger signs in 44%-50% of vignettes, correctly proposed referral to the facility in 63% of vignettes including danger signs, and chose correct lifesaving treatment in 23%-65% of vignettes. Both diagnosis and lifesaving treatment rates were highest for malaria and lowest for severe pneumonia., Conclusion: Administration of vignettes to assess knowledge of correct iCCM case management was feasible and effective in producing results in this setting. Proportions of correct diagnosis and lifesaving treatment varied, with high proportions for uncomplicated disease, but lower for more severe cases, with accurate recognition of danger signs posing a challenge. Future work includes validation of vignettes for use with CHWs through direct observation, strengthening supportive supervision, and program interventions to address identified knowledge gaps., (© Downey et al.)

Discrimination and violence against sex workers by police are common in many populations and are associated with negative health outcomes, as well as being per se violations of human rights laws and norms. There is a close and mutually reinforcing nexus between legally actionable rights violations and stigma, and reducing human rights violations against sex workers likely requires both legal and societal interventions that address both. In this paper, we first aim to estimate levels of discrimination, violence, and stigma against women sex workers by police in Kenya. Second, we aim to estimate the association between manifestations of discrimination and stigma, on the one hand, and general health care utilization and consistent condom use, on the other. Using data from a survey of Kenyan sex workers, we document widespread discrimination and stigma. Through regression analyses, participants with the highest levels of all three categories of manifestations of discrimination and stigma reported significant lower consistent condom use. Those with the highest levels of witnessed/heard manifestations were significantly more likely to delay or avoid needed health care, and the highest level of experienced manifestations were associated with a marginally significant increase in delay or avoidance. Our findings document a plethora of violations of human rights obligations under Kenyan and international law., Competing Interests: Competing interests: None declared., (Copyright © 2020 Mbote, Nyblade, Kemunto, Giger, Kimani, Mingkwan, Njuguna, Oga, and Kraemer.)

Objectives: We evaluated whether implementation of lockdown orders in South Africa affected ambulatory clinic visitation in rural Kwa-Zulu Natal (KZN)., Design: Observational cohort SETTING: Data were analysed from 11 primary healthcare clinics in northern KZN., Participants: A total of 46 523 individuals made 89 476 clinic visits during the observation period., Exposure of Interest: We conducted an interrupted time series analysis to estimate changes in clinic visitation with a focus on transitions from the prelockdown to the level 5, 4 and 3 lockdown periods., Outcome Measures: Daily clinic visitation at ambulatory clinics. In stratified analyses, we assessed visitation for the following subcategories: child health, perinatal care and family planning, HIV services, non-communicable diseases and by age and sex strata., Results: We found no change in total clinic visits/clinic/day at the time of implementation of the level 5 lockdown (change from 90.3 to 84.6 mean visits/clinic/day, 95% CI -16.5 to 3.1), or at the transitions to less stringent level 4 and 3 lockdown levels. We did detect a >50% reduction in child healthcare visits at the start of the level 5 lockdown from 11.9 to 4.7 visits/day (-7.1 visits/clinic/day, 95% CI -8.9 to 5.3), both for children aged <1 year and 1-5 years, with a gradual return to prelockdown within 3 months after the first lockdown measure. In contrast, we found no drop in clinic visitation in adults at the start of the level 5 lockdown, or related to HIV care (from 37.5 to 45.6, 8.0 visits/clinic/day, 95% CI 2.1 to 13.8)., Conclusions: In rural KZN, we identified a significant, although temporary, reduction in child healthcare visitation but general resilience of adult ambulatory care provision during the first 4 months of the lockdown. Future work should explore the impacts of the circulating epidemic on primary care provision and long-term impacts of reduced child visitation on outcomes in the region., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.)

Objectives: To describe development and implementation of a three-stage 'total facility' approach to reducing health facility HIV stigma in Ghana and Tanzania, to facilitate replication., Design: HIV stigma in healthcare settings hinders the HIV response and can occur during any interaction between client and staff, between staff, and within institutional processes and structures. Therefore, the design focuses on multiple socioecological levels within a health facility and targets all levels of staff (clinical and nonclinical)., Methods: The approach is grounded in social cognitive theory principles and interpersonal or intergroup contact theory that works to combat stigma by creating space for interpersonal interactions, fostering empathy, and building efficacy for stigma reduction through awareness, skills, and knowledge building as well as through joint action planning for changes needed in the facility environment. The approach targets actionable drivers of stigma among health facility staff: fear of HIV transmission, awareness of stigma, attitudes, and health facility environment., Results: The results are the three-stage process of formative research, capacity building, and integration into facility structures and processes. Key implementation lessons learned included the importance of formative data to catalyze action and shape intervention activities, using participatory training methodologies, involving facility management throughout, having staff, and clients living with HIV facilitate trainings, involving a substantial proportion of staff, mixing staff cadres and departments in training groups, and integrating stigma-reduction into existing structures and processes., Conclusion: Addressing stigma in health facilities is critical and this approach offers a feasible, well accepted method of doing so.

Introduction: Stigma undermines all aspects of a comprehensive HIV response, as reflected in recent global initiatives for stigma-reduction. Yet a commensurate response to systematically tackle stigma within country responses has not yet occurred, which may be due to the lack of sufficient evidence documenting evaluated stigma-reduction interventions. With stigma present in all life spheres, health facilities offer a logical starting point for developing and expanding stigma reduction interventions. This study evaluates the impact of a "total facility" stigma-reduction intervention on the drivers and manifestations of stigma and discrimination among health facility staff in Ghana., Methods: We evaluated the impact of a total facility stigma-reduction intervention by comparing five intervention to five comparable non-intervention health facilities in Ghana. Interventions began in September 2017. Data collection was in June 2017 and April 2018. The primary outcomes were composite indicators for three stigma drivers, self-reported stigmatizing avoidance behaviour, and observed discrimination. The principal intervention variable was whether the respondent worked at an intervention or comparison facility. We estimated intervention effects as differences-in-differences in each outcome, further adjusted using inverse probability of treatment weighting (IPTW)., Results: We observed favourable intervention effects for all outcome domains except for stigmatizing attitudes. Preferring not to provide services to people living with HIV (PLHIV) or a key population member improved 11.1% more in intervention than comparison facility respondents (95% CI 3.2 to 19.0). Other significant improvements included knowledge of policies to protect against discrimination (difference-in-differences = 20.4%; 95% CI 12.7 to 28.0); belief that discrimination would be punished (11.2%; 95% CI 0.2 to 22.3); and knowledge of and belief in the adequacy of infection control policies (17.6%; 95% CI 8.3 to 26.9). Reported observation of stigma and discrimination incidents fell by 7.4 percentage points more among intervention than comparison facility respondents, though only marginally significant in the IPTW-adjusted model (p = 0.06). Respondents at intervention facilities were 19.0% (95% CI 12.2 to 25.8) more likely to report that staff behaviour towards PLHIV had improved over the last year than those at comparison facilities., Conclusions: These results provide a foundation for scaling up health facility stigma-reduction within national HIV responses, though they should be accompanied by rigorous implementation science to ensure ongoing learning and adaptation for maximum effectiveness and long-term impact., (© 2020 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)

Background: Delivery of preventive chemotherapy (PC) through mass drug administration (MDA) is used to control or eliminate five of the most common neglected tropical diseases (NTDs). The success of an MDA campaign relies on the ability of drug distributors and their supervisors-the NTD front-line workers-to reach populations at risk of NTDs. In the past, our understanding of the demographics of these workers has been limited, but with increased access to sex-disaggregated data, we begin to explore the implications of gender and sex for the success of NTD front-line workers., Methodology/principal Findings: We reviewed data collected by USAID-supported NTD projects from national NTD programs from fiscal years (FY) 2012-2017 to assess availability of sex-disaggregated data on the workforce. What we found was sex-disaggregated data on 2,984,908 trainees trained with financial support from the project. We then analyzed the percentage of males and females trained by job category, country, and fiscal year. During FY12, 59% of these data were disaggregated by sex, which increased to nearly 100% by FY15 and was sustained through FY17. In FY17, 43% of trainees were female, with just four countries reporting more females than males trained as drug distributors and three countries reporting more females than males trained as trainers/supervisors. Except for two countries, there were no clear trends over time in changes to the percent of females trained., Conclusions/significance: There has been a rapid increase in availability of sex-disaggregated data, but little increase in recruitment of female workers in countries included in this study. Women continue to be under-represented in the NTD workforce, and while there are often valid reasons for this distribution, we need to test this norm and better understand gender dynamics within NTD programs to increase equity., Competing Interests: The authors have declared that no competing interests exist.

Background: Gender equity in global health is a target of the Sustainable Development Goals and a requirement of just societies. Substantial progress has been made towards control and elimination of neglected tropical diseases (NTDs) via mass drug administration (MDA). However, little is known about whether MDA coverage is equitable. This study assesses the availability of gender-disaggregated data and whether systematic gender differences in MDA coverage exist., Methods: Coverage data were analyzed for 4784 district-years in 16 countries from 2012 through 2016. The percentage of districts reporting gender-disaggregated data was calculated and male-female coverage compared., Results: Reporting of gender-disaggregated coverage data improved from 32% of districts in 2012 to 90% in 2016. In 2016, median female coverage was 85.5% compared with 79.3% for males. Female coverage was higher than male coverage for all diseases. However, within-country differences exist, with 64 (3.3%) districts reporting male coverage >10 percentage points higher than female coverage., Conclusions: Reporting of gender-disaggregated data is feasible. And NTD programs consistently achieve at least equal levels of coverage for women. Understanding gendered barriers to MDA for men and women remains a priority., (© The Author(s) 2019. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.)

Background: Sex-based differences in cardiovascular disease (CVD) burden are widely acknowledged, with male sex considered a risk factor in high-income settings. However, these relationships have not been examined in sub-Saharan Africa (SSA). We aimed to apply the American Heart Association (AHA) ideal cardiovascular health (CVH) tool modified by the addition of C-reactive protein (CRP) to examine potential sex-based differences in the prevalence of CVD risk in rural Uganda., Methods: In a cross-sectional study nested within a population-wide census, 857 community-living adults completed physical and laboratory-based assessments to calculate individual ideal CVH metrics including an eight category for CRP levels. We summarized sex-specific ideal CVH indices, fitting ordinal logistic regression models to identify correlates of improving CVH. As secondary outcomes, we assessed subscales of ideal CVH behaviours and factors. Models included inverse probability of sampling weights to determine population-level estimates., Results: The weighted-population mean age was 39.2 (1.2) years with 52.0 (3.7) % females. Women had ideal scores in smoking (80.4% vs. 68.0%; p < 0.001) and dietary intake (26.7% vs. 16.8%; p = 0.037) versus men, but the opposite in body mass index (47.3% vs. 84.4%; p < 0.001), glycated hemoglobin (87.4% vs. 95.2%; p = 0.001), total cholesterol (80.2% vs. 85.0%; p = 0.039) and CRP (30.8% vs. 49.7%; p = 0.009). Overall, significantly more men than women were classified as having optimal cardiovascular health (6-8 metrics attaining ideal level) (39.7% vs. 29.0%; p = 0.025). In adjusted models, female sex was correlated with lower CVH health factors sub-scales but higher ideal CVH behaviors., Conclusions: Contrary to findings in much of the world, female sex in rural SSA is associated with worse ideal CVH profiles, despite women having better indices for ideal CVH behaviors. Future work should assess the potential role of socio-behavioural sex-specific risk factors for ideal CVH in SSA, and better define the downstream consequences of these differences.

Background: This study aims to examine potential road crash disparities across relative wealth and location of residence in Kenya by analyzing population-representative Demographic and Health Survey data., Methods: Relative wealth was measured by household assets, converted into an index by polychoric principal components analysis. Location and sex-stratified associations between wealth quantiles and crashes were flexibly estimated using fractional polynomial models. Structural equation models were fit to examine whether observed differences may operate through previously identified determinants., Results: In rural areas, crashes were least common for both the poorest men (-5.2 percentage points, 95% CI: -7.3 to -3.2) and women (-1.6 percentage points, 95% CI: -2.9 to -0.4). In urban areas, male crashes were lowest (-3.0 percentage points, 95% CI: -5.2 to -0.8) among the wealthiest, while they peaked in the middle of the female wealth distribution (2.0 percentage points, 95% CI: 0.3-3.8). Male differences operate partially though occupational driving and vehicle ownership. Urban female differences operate partially through household vehicle ownership, but differences for rural women were not explained by modeled determinants., Conclusions: Relative wealth and road crash have opposite associations in rural and urban areas. Especially in rural areas, it is important to mitigate potential unintended effects of economic development.

Objectives: Atrial fibrillation (AF) is a major risk factor for stroke, which is the leading cause of cardiovascular mortality in sub-Saharan Africa. However, there is limited population-based epidemiological data on AF in sub-Saharan Africa. We sought to estimate the prevalence and correlates of AF in rural Uganda., Methods: We conducted a cross-sectional study using community health fairs in 2015 targeting eight villages in rural Uganda. Study participants completed a medical history, a clinical exam, blood collection, and 12‑lead electrocardiographic (ECG) screening. Of 1814 participants enrolled in a parent cohort study that includes 98% of adults residing in the geographic area, 856 attended a health fair and were included in this study. Our primary outcome was AF or atrial flutter. We modelled population prevalence of the outcome with inverse probability of treatment weighting using data collected from the full population., Results: 856 (47.2%) adults in the area attended a health fair and were included in the analysis. Health fair attendees were older (42 vs 34 years, P < 0.0001), in worse self-reported health (P < 0.0001) and more likely to be female (62% vs 49%, P < 0. 0001) compared with non-attendees. After applying weights, the estimated population mean age was 37.7 ± 14.9 years. 15% of the population was overweight or obese and 1.9% had left atrial enlargement on ECG. Despite this, the weighted estimate of AF was 0% (95%CI 0-0.54%)., Conclusions: AF appears less prevalent in rural Uganda than in developed countries. The explanations for this finding may be genetic, environmental or related to survivorship bias., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Zika virus disease provides the latest example of a critical nexus between public health and clinical practice. Interpreting Zika virus test results is complicated by the absence of a single testing approach with superior validity across contexts and populations. Molecular tests are highly specific, variably sensitive, and have a short window period. Serologic tests identify antibodies against Zika virus and are more likely than molecular tests to cross-react with other related viruses, reducing specificity. The type of test performed and timing relative to possible Zika virus exposure depend on public health guidance, testing algorithms, test availability, and capacity. Guidance from the Centers for Disease Control and Prevention and local health departments have changed throughout the course of the US epidemic based on prevalence, geography, and clinical concerns. Women with a low pretest probability of infection should be counseled against testing. Women with a high pretest probability of Zika virus infection should still receive enhanced prenatal monitoring and newborn evaluation, regardless of the test result. An appropriate interpretation of results depends on what tests are used, patient characteristics, and reasons for testing. Clinicians should take these factors into account in shared decision making discussions with pregnant women about Zika virus testing., Competing Interests: Conflict of interest: none declared., (© Copyright 2018 by the American Board of Family Medicine.)

Objectives: To assess a community health worker (CHW) program's impact on childhood illness treatment in rural Liberia., Methods: We deployed CHWs in half of Rivercess County in August 2015 with the other half constituting a comparison group until July 2016. All CHWs were provided cash incentives, supply chain support, and monthly clinical supervision. We conducted stratified cluster-sample population-based surveys at baseline (March-April 2015) and follow-up (April-June 2016) and performed a difference-in-differences analysis, adjusted by inverse probability of treatment weighting, to assess changes in treatment of fever, diarrhea, and acute respiratory infection by a qualified provider., Results: We estimated a childhood treatment difference-in-differences of 56.4 percentage points (95% confidence interval [CI] = 36.4, 76.3). At follow-up, CHWs provided 57.6% (95% CI = 42.8, 71.2) of treatment in the intervention group. The difference-in-differences diarrhea oral rehydration therapy was 22.4 percentage points (95% CI = -0.7, 45.5)., Conclusions: Implementation of a CHW program in Rivercess County, Liberia, was associated with large, statistically significant improvements treatment by a qualified provider; however, improvements in correct diarrhea treatment were lower than improvements in coverage. Findings from this study offer support for expansion of Liberia's new National Community Health Assistant Program.

Introduction: Internet-based crowdsourcing is increasingly used for social and behavioral research in public health, however the potential generalizability of crowdsourced data remains unclear. This study assessed the population representativeness of Internet-based crowdsourced data., Methods: A total of 3999 U.S. young adults ages 18 to 30years were recruited in 2016 through Internet-based crowdsourcing to complete measures taken from the 2012-2013 National Adult Tobacco Survey (NATS). Post-hoc sampling weights were created using procedures similar to the NATS. Weighted analyses were conducted in 2016 to compare crowdsourced and publicly-available 2012-2013 NATS data on demographics, tobacco use, and measures of tobacco perceptions and product warning label exposure., Results: Those in the crowdsourced sample were less likely to report an annual household income of $50,000 or greater, and e-cigarette, waterpipe, and cigar use were more prevalent in the crowdsourced sample. High proportions of both samples indicated cigarette smoking is very harmful and very addictive. Comparable proportions of non-smokers and smokers reported cigarette warning label exposure, however the likelihood of reporting that smoking is very harmful by frequency of warning label exposure was lower among smokers in the crowdsourced sample., Conclusions: Our findings indicate that crowdsourced samples may differ demographically and may not produce generalizable estimates of tobacco use prevalence relative to population data after post-hoc sample weighting. However, correlational analyses in crowdsourced samples may reasonably approximate population data. Future studies can build from this work by testing additional methodological strategies to improve crowdsourced sampling strategies., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: The use of mobile devices for data collection in developing world settings is becoming increasingly common and may offer advantages in data collection quality and efficiency relative to paper-based methods. However, mobile data collection systems can hamper many standard quality assurance techniques due to the lack of a hardcopy backup of data. Consequently, mobile health data collection platforms have the potential to generate datasets that appear valid, but are susceptible to unidentified database design flaws, areas of miscomprehension by enumerators, and data recording errors., Objective: We describe the design and evaluation of a strategy for estimating data error rates and assessing enumerator performance during electronic data collection, which we term "validation relaxation." Validation relaxation involves the intentional omission of data validation features for select questions to allow for data recording errors to be committed, detected, and monitored., Methods: We analyzed data collected during a cluster sample population survey in rural Liberia using an electronic data collection system (Open Data Kit). We first developed a classification scheme for types of detectable errors and validation alterations required to detect them. We then implemented the following validation relaxation techniques to enable data error conduct and detection: intentional redundancy, removal of "required" constraint, and illogical response combinations. This allowed for up to 11 identifiable errors to be made per survey. The error rate was defined as the total number of errors committed divided by the number of potential errors. We summarized crude error rates and estimated changes in error rates over time for both individuals and the entire program using logistic regression., Results: The aggregate error rate was 1.60% (125/7817). Error rates did not differ significantly between enumerators (P=.51), but decreased for the cohort with increasing days of application use, from 2.3% at survey start (95% CI 1.8%-2.8%) to 0.6% at day 45 (95% CI 0.3%-0.9%; OR=0.969; P<.001). The highest error rate (84/618, 13.6%) occurred for an intentional redundancy question for a birthdate field, which was repeated in separate sections of the survey. We found low error rates (0.0% to 3.1%) for all other possible errors., Conclusions: A strategy of removing validation rules on electronic data capture platforms can be used to create a set of detectable data errors, which can subsequently be used to assess group and individual enumerator error rates, their trends over time, and categories of data collection that require further training or additional quality control measures. This strategy may be particularly useful for identifying individual enumerators or systematic data errors that are responsive to enumerator training and is best applied to questions for which errors cannot be prevented through training or software design alone. Validation relaxation should be considered as a component of a holistic data quality assurance strategy., (©Avi Kenny, Nicholas Gordon, Thomas Griffiths, John D Kraemer, Mark J Siedner. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.08.2017.)

Objective: To assess changes in the use of essential maternal and child health services in Konobo, Liberia, after implementation of an enhanced community health worker (CHW) programme., Methods: The Liberian Ministry of Health partnered with Last Mile Health, a nongovernmental organization, to implement a pilot CHW programme with enhanced recruitment, training, supervision and compensation. To assess changes in maternal and child health-care use, we conducted repeated cross-sectional cluster surveys before (2012) and after (2015) programme implementation., Findings: Between 2012 and 2015, 54 CHWs, seven peer supervisors and three clinical supervisors were trained to serve a population of 12 127 people in 44 communities. The regression-adjusted percentage of children receiving care from formal care providers increased by 60.1 (95% confidence interval, CI: 51.6 to 68.7) percentage points for diarrhoea, by 30.6 (95% CI: 20.5 to 40.7) for fever and by 51.2 (95% CI: 37.9 to 64.5) for acute respiratory infection. Facility-based delivery increased by 28.2 points (95% CI: 20.3 to 36.1). Facility-based delivery and formal sector care for acute respiratory infection and diarrhoea increased more in agricultural than gold-mining communities. Receipt of one-or-more antenatal care sessions at a health facility and postnatal care within 24 hours of delivery did not change significantly., Conclusion: We identified significant increases in uptake of child and maternal health-care services from formal providers during the pilot CHW programme in remote rural Liberia. Clinic-based services, such as postnatal care, and services in specific settings, such as mining areas, require additional interventions to achieve optimal outcomes.

Spatial big data have the velocity, volume, and variety of big data sources and contain additional geographic information. Digital data sources, such as medical claims, mobile phone call data records, and geographically tagged tweets, have entered infectious diseases epidemiology as novel sources of data to complement traditional infectious disease surveillance. In this work, we provide examples of how spatial big data have been used thus far in epidemiological analyses and describe opportunities for these sources to improve disease-mitigation strategies and public health coordination. In addition, we consider the technical, practical, and ethical challenges with the use of spatial big data in infectious disease surveillance and inference. Finally, we discuss the implications of the rising use of spatial big data in epidemiology to health risk communication, and public health policy recommendations and coordination across scales., (© The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America.)

Background: Bicycle helmet laws generally increase helmet usage, but few studies assess whether helmet laws reduce disparities. The objective of this study is to assess changes in racial/ethnic disparities in helmet use among high school students in urban jurisdictions where laws were previously determined to increase overall helmet use., Methods: Log-binomial models were fit to four districts' 1991-2013 Youth Risk Behavior Survey (YRBS) data. Post-regression predictive margins were used to calculate adjusted bicycle helmet use proportions, assess before-to-after changes in race/ethnicity specific helmet use, and estimate changes in disparities from jurisdictions' white subpopulations., Results: Helmet use among white students increased by 10.2 percentage points in two Florida counties (p < 0.001), 20.1 points in Dallas (p < 0.001), and 24.4 points in San Diego (p < 0.001). Increases among African Americans were 6.1 percentage points in the Florida counties (p < 0.001), 8.2 points in Dallas (p < 0.001), and 6.3 points in San Diego (p = 0.070). Use increased among Latino students in the Florida counties (4.3 percentage points, p = 0.016) and Dallas (6.2, p = 0.002), but not significantly in San Diego. San Diego helmet use among Asian students increased by 12.8 percentage points (p < 0.001). Because helmet use increased more for white students, helmet laws were associated with increased disparities. In the Florida counties, disparities increased significantly by 5.9 percentage points for Latino students (p = 0.045). San Diego disparities worsened by 18.1 (p < 0.001), 21.3 (p < 0.001), and 11.6 (p = 0.013) percentage points among African American, Latino, and Asian students respectively. Dallas disparities increased by 11.9 (p = 0.015) and 14.0 (p = 0.003) percentage points among African American and Latino students. Increased disparities generally persisted for follow-up time of at least a decade. Main study limitations include the possibility of helmet use reporting error and limited socioeconomic variables in YRBS datasets., Conclusions: Helmet use increased across racial/ethnic subpopulations, but greater increases among white students increased disparities. Policymakers should couple laws with other approaches to reduce helmet disparities and cycling injuries.

Background: Despite a growing global emphasis on universal healthcare, access to basic primary care for remote populations in post-conflict countries remains a challenge. To better understand health sector recovery in post-conflict Liberia, this paper seeks to evaluate changes in utilization of health services among rural populations across a 5-year time span., Methods: We assessed trends in healthcare utilization among the national rural population using the Liberian Demographic and Health Survey (DHS) from 2007 and 2013. We compared these results to results obtained from a two-staged cluster survey in 2012 in the district of Konobo, Liberia, to assess for differential health utilization in an isolated, remote region. Our primary outcomes of interest were maternal and child health service care seeking and utilization., Results: Most child and maternal health indicators improved in the DHS rural sub-sample from 2007 to 2013. However, this progress was not reflected in the remote Konobo population. A lower proportion of women received 4+ antenatal care visits (AOR 0.28, P < 0.001) or any postnatal care (AOR 0.25, P <0.001) in Konobo as compared to the 2013 DHS. Similarly, a lower proportion of children received professional care for common childhood illnesses, including acute respiratory infection (9 % vs. 52 %, P < 0.001) or diarrhea (11 % vs. 46 %, P < 0.001)., Conclusions: Our data suggest that, despite the demonstrable success of post-war rehabilitation in rural regions, particularly remote populations in Liberia remain at disproportionate risk for limited access to basic health services. As a renewed effort is placed on health systems reconstruction in the wake of the Ebola-epidemic, a specific focus on solutions to reach isolated populations will be necessary in order to ensure extension of coverage to remote regions such as Konobo.

Purpose: To assess bicycle helmet laws' effect on helmet and bicycle use among U.S. high school students in urban jurisdictions., Methods: Log-binomial models were fit to Youth Risk Behavior Survey data from five jurisdictions. Adjusted helmet and bicycle use proportions were calculated with post-regression marginal effects. Difference-in-differences were estimated, comparing intervention to concurrent controls. A placebo outcome was used to falsify possible confounding or selection effects., Results: In San Diego and Dallas, helmet use increase increased 10.6 (95% confidence interval [CI] 6.5 to 14.7, p < .001) and 8.1 (95% CI 4.3 to 12.0, p < .001) percentage points more than out-of-jurisdiction controls. Increases in Florida counties were 5.0 (95% CI 1.8 to 8.2, p = .003) and 4.0 (95% CI -.7 to 8.8, p = .098) points against age-based and out-of-jurisdiction controls, respectively. Bicycle use fell 5.5 points in both San Diego (95% CI -9.8 to -1.1, p = .015) and the Florida counties (95% CI -11.5 to .5, p = .075) against out-of-jurisdiction controls, but other comparisons had no significant changes. The placebo outcome never changed significantly., Conclusions: Laws increased helmet use in all jurisdictions, with limited evidence of reduced cycling. Although sound health policy, laws should be coupled with physical activity promotion., (Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Background: The Ebola virus disease (EVD) epidemic has threatened access to basic health services through facility closures, resource diversion, and decreased demand due to community fear and distrust. While modeling studies have attempted to estimate the impact of these disruptions, no studies have yet utilized population-based survey data., Methods and Findings: We conducted a two-stage, cluster-sample household survey in Rivercess County, Liberia, in March-April 2015, which included a maternal and reproductive health module. We constructed a retrospective cohort of births beginning 4 y before the first day of survey administration (beginning March 24, 2011). We then fit logistic regression models to estimate associations between our primary outcome, facility-based delivery (FBD), and time period, defined as the pre-EVD period (March 24, 2011-June 14, 2014) or EVD period (June 15, 2014-April 13, 2015). We fit both univariable and multivariable models, adjusted for known predictors of facility delivery, accounting for clustering using linearized standard errors. To strengthen causal inference, we also conducted stratified analyses to assess changes in FBD by whether respondents believed that health facility attendance was an EVD risk factor. A total of 1,298 women from 941 households completed the survey. Median age at the time of survey was 29 y, and over 80% had a primary education or less. There were 686 births reported in the pre-EVD period and 212 in the EVD period. The unadjusted odds ratio of facility-based delivery in the EVD period was 0.66 (95% confidence interval [CI] 0.48-0.90, p-value = 0.010). Adjustment for potential confounders did not change the observed association, either in the principal model (adjusted odds ratio [AOR] = 0.70, 95%CI 0.50-0.98, p = 0.037) or a fully adjusted model (AOR = 0.69, 95%CI 0.50-0.97, p = 0.033). The association was robust in sensitivity analyses. The reduction in FBD during the EVD period was observed among those reporting a belief that health facilities are or may be a source of Ebola transmission (AOR = 0.59, 95%CI 0.36-0.97, p = 0.038), but not those without such a belief (AOR = 0.90, 95%CI 0.59-1.37, p = 0.612). Limitations include the possibility of FBD secular trends coincident with the EVD period, recall errors, and social desirability bias., Conclusions: We detected a 30% decreased odds of FBD after the start of EVD in a rural Liberian county with relatively few cases. Because health facilities never closed in Rivercess County, this estimate may under-approximate the effect seen in the most heavily affected areas. These are the first population-based survey data to show collateral disruptions to facility-based delivery caused by the West African EVD epidemic, and they reinforce the need to consider the full spectrum of implications caused by public health emergencies.

There is a need to develop motorcycle helmet surveillance approaches that are less labour intensive than direct observation (DO), which is the commonly recommended but never formally validated approach, particularly in developing settings. This study sought to assess public traffic camera feeds as an alternative to DO, in addition to the reliability of DO under field conditions. DO had high inter-rater reliability, κ=0.88 and 0.84, respectively, for cycle type and helmet type, which reinforces its use as a gold standard. However, traffic camera-based data collection was found to be unreliable, with κ=0.46 and 0.53 for cycle type and helmet type. When bicycles, motorcycles and scooters were classified based on traffic camera streams, only 68.4% of classifications concurred with those made via DO. Given the current technology, helmet surveillance via traffic camera streams is infeasible, and there remains a need for innovative traffic safety surveillance approaches in low-income urban settings., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Background: This study seeks to understand distance from health facilities as a barrier to maternal and child health service uptake within a rural Liberian population. Better understanding the relationship between distance from health facilities and rural health care utilization is important for post-Ebola health systems reconstruction and for general rural health system planning in sub-Saharan Africa., Methods: Cluster-sample survey data collected in 2012 in a very rural southeastern Liberian population were analyzed to determine associations between quartiles of GPS-measured distance from the nearest health facility and the odds of maternal (ANC, facility-based delivery, and PNC) and child (deworming and care seeking for ARI, diarrhea, and fever) service use. We estimated associations by fitting simple and multiple logistic regression models, with standard errors adjusted for clustered data., Findings: Living in the farthest quartile was associated with lower odds of attending 1-or-more ANC checkup (AOR = 0.04, P < 0.001), 4-or-more ANC checkups (AOR = 0.13, P < 0.001), delivering in a facility (AOR = 0.41, P = 0.006), and postnatal care from a health care worker (AOR = 0.44, P = 0.009). Children living in all other quartiles had lower odds of seeking facility-based fever care (AOR for fourth quartile = 0.06, P < 0.001) than those in the nearest quartile. Children in the fourth quartile were less likely to receive deworming treatment (AOR = 0.16, P < 0.001) and less likely (but with only marginal statistical significance) to seek ARI care from a formal HCW (AOR = 0.05, P = 0.05). Parents in distant quartiles more often sought ARI and diarrhea care from informal providers., Conclusions: Within a rural Liberian population, distance is associated with reduced health care uptake. As Liberia rebuilds its health system after Ebola, overcoming geographic disparities, including through further dissemination of providers and greater use of community health workers should be prioritized.

Objective: This study aims to quantify and describe the burden of fatal pedestrian crashes among persons using wheelchairs in the USA from 2006 to 2012., Design: The occurrence of fatal pedestrian crashes among pedestrians using wheelchairs was assessed using two-source capture-recapture. Descriptive analysis of fatal crashes was conducted using customary approaches., Setting: Two registries were constructed, both of which likely undercounted fatalities among pedestrians who use wheelchairs. The first used data from the Fatality Analysis Reporting System, and the second used a LexisNexis news search., Outcome Measures: Mortality rate (per 100 000 person-years) and crash-level, driver-level and pedestrian-level characteristics of fatal crashes., Results: This study found that, from 2006 to 2012, the mortality rate for pedestrians using wheelchairs was 2.07/100 000 person-years (95% CI 1.60 to 2.54), which was 36% higher than the overall population pedestrian mortality rate (p=0.02). Men's risk was over fivefold higher than women's risk (p<0.001). Compared to the overall population, persons aged 50-64 using wheelchairs had a 38% increased risk (p=0.04), and men who use wheelchairs aged 50-64 had a 75% increased risk over men of the same age in the overall population (p=0.006). Almost half (47.6%; 95% CI 42.8 to 52.5) of fatal crashes occurred in intersections and 38.7% (95% CI 32.0 to 45.0) of intersection crashes occurred at locations without traffic control devices. Among intersection crashes, 47.5% (95% CI 40.6 to 54.5) involved wheelchair users in a crosswalk; no crosswalk was available for 18.3% (95% CI 13.5 to 24.4). Driver failure to yield right-of-way was noted in 21.4% (95% CI 17.7 to 25.7) of crashes, and no crash avoidance manoeuvers were detected in 76.4% (95% CI 71.0 to 81.2)., Conclusions: Persons who use wheelchairs experience substantial pedestrian mortality disparities calling for behavioural and built environment interventions., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

This study aims to quantify and describe the risk of non-fatal pedestrian injury among persons who use wheelchairs in the US. Cases of pedestrian injury between 2002 and 2010 among persons using wheelchairs were identified in the National Electronic Injury Surveillance System to generate national injury estimates. Between 2002 and 2010, an estimated 9348 (95% CI 4912 to 13,784) people were treated in emergency departments for non-fatal pedestrian injuries sustained while using wheelchairs. Using wheelchair-use denominators calculated from the Survey of Income and Program Participation, this equates to an incidence rate of 31.3 (95% CI 16.4 to 46.1) per 100,000 person-years. Injury risk was 3.5 times higher for men than women (p<0.001). Contusions, abrasions, and lacerations (42.7%) and fractures (16.4%) were most common. The head and neck (24.7%) and lower extremities (28.4%) were most often injured. A fifth (21.4%) of injuries required hospitalisation, and 89.2% occurred in traffic on public roadways., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Public health authorities have adopted entry screening and subsequent restrictions on travelers from Ebola-affected West African countries as a strategy to prevent importation of Ebola virus disease (EVD) cases. We analyzed international, federal, and state policies-principally based on the policy documents themselves and media reports-to evaluate policy variability. We employed means-ends fit analysis to elucidate policy objectives. We found substantial variation in the specific approaches favored by WHO, CDC, and various American states. Several US states impose compulsory quarantine on a broader range of travelers or require more extensive monitoring than recommended by CDC or WHO. Observed differences likely partially resulted from different actors having different policy goals-particularly the federal government having to balance foreign policy objectives less salient to states. Further, some state-level variation appears to be motivated by short-term political goals. We propose recommendations to improve future policies, which include the following: (1) actors should explicitly clarify their objectives, (2) legal authority should be modernized and clarified, and (3) the federal government should consider preempting state approaches that imperil its goals.

Mark Siedner and colleagues reflect on the early response to the Ebola epidemic and lessons that can be learned for future epidemics.

Objectives: Bicycling and helmet surveillance, research, and programme evaluation depend on accurate measurement by direct observation, but it is unclear whether weather and other exogenous factors introduce bias into observed counts of cyclists and helmet use., Methods: To address this issue, a time series was created of cyclists observed at two observation points in Washington, DC, at peak commuting times and locations between September 2012 and February 2013. Using multiple linear regression with Newey-West SEs to account for possible serial correlation, the association between various factors and cyclist counts and helmet use was investigated., Results: The number of cyclists observed per 1 h session was significantly associated with predicted daily high temperature, chance of rain, and actual rain. Additionally, fewer cyclists were observed on Fridays. Helmet use was significantly lower during evening commutes than morning and also lower on Fridays. Helmet use was not associated with weather variables. Controlling for observable cyclists characteristics weakened the association between helmet use and the time of day and day of the week, but it did not eliminate that association., Conclusions: Direct observation to measure commuter cycling trends or evaluate interventions should control for weather and day of week. Measurement of helmet use is unlikely to be meaningfully biased by weather factors, but time of day and day of week should be taken into account. Failing to control for these factors could lead to significant bias in assessments of the level of, and trends in, commuter cycling and helmet use., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Background: Science to determine the impact of pictorial cigarette warning labels can inform decisions about warning label implementation and adjustments to their contents to maximize impact. This pilot study builds from earlier research on plain cigarette packaging to examine the feasibility of a method for determining the impact of pictorial warnings among smokers., Findings: The study was a prospective, within-subjects pilot trial where smokers ages 18-30 (n = 10) were exposed to pictorial warnings on their cigarette packs. On day one, participants completed a baseline interview with an expired carbon monoxide reading and affixed pictorial warning labels to their cigarette pack(s) they would use the next day. On day two, participants completed mobile phone text message assessments of smoking behaviors and protocol adherence. On day three, participants completed a follow-up interview similar to baseline. We achieved 100% sample retention and adherence with procedures. Compared with baseline assessments of perceptions and behaviors related to existing text-only warnings, at follow-up participants were more likely to report that pictorial warnings used during the study were noticeable (M 4.1, SD 1.3 vs. M 2.7, SD 1.2, p = .013), stopped them from smoking (M 1.6, SD 0.8 vs. M 1.1, SD 0.3, p = .052), and conveyed health risks of smoking (M 3.5 SD 1.3 vs. M 2.2, SD 1.1, p = .006). At follow-up, participants also reported the protocol was acceptable., Conclusions: These findings suggest this is a feasible method that with further validation could provide evidence that can inform decisions regarding implementation of pictorial cigarette warnings.

This Perspective focuses on the future of the Pandemic Influenza Preparedness (PIP) Framework, which was initially established to promote the fair sharing of public health-related pandemic influenza samples between countries. We examine the changes that need to be made to address the growing likelihood that genetic sequence data might be shared instead of physical virus samples, as well as the need to expand the PIP framework's scope and to improve its fairness., (Copyright © 2014, American Association for the Advancement of Science.)