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Engagement is an important component in the advancement of gene-drive vector control research programs as developers look to transition the technology from the laboratory to the field. As research advances and engagement surrounding this novel technology is put into practice, knowledge can be gained from practical experiences and applications in the field. A relationship-based model (RBM) provides a framework for end-user development of engagement programs and strategies. The model places end users at the center of the engagement decision-making processes rather than as recipients of predetermined strategies, methods, and definitions. Successful RBM application for healthcare delivery has previously been demonstrated, and the University of California Malaria Initiative (UCMI) has applied this model to its gene-drive program in the Democratic Republic of São Tomé and Príncipe. The model emphasizes the importance of local leadership in the planning, development, and implementation of all phases of project engagement. The primary aim of this paper is to translate the model from paper to practice and provide a transparent description, using practical examples, of the UCMI program implementation of RBM at its field site. End-user development of the UCMI engagement program provides a unique approach to the development of ethical, transparent, and effective engagement strategies for malaria control programs. This paper may also serve as a reference and example for projects looking to establish an engagement program model that integrates end-user groups in the decision-making processes surrounding engagement.

The profound impact of food on health necessitates advanced nutrition-oriented food recommendation services. Conventional methods often lack the crucial elements of personalization, explainability, and interactivity. While Large Language Models (LLMs) bring interpretability and explainability, their standalone use falls short of achieving true personalization. In this paper, we introduce ChatDiet, a novel LLM-powered framework designed specifically for personalized nutrition-oriented food recommendation chatbots. ChatDiet integrates personal and population models, complemented by an orchestrator, to seamlessly retrieve and process pertinent information. The personal model leverages causal discovery and inference techniques to assess personalized nutritional effects for a specific user, whereas the population model provides generalized information on food nutritional content. The orchestrator retrieves, synergizes and delivers the output of both models to the LLM, providing tailored food recommendations designed to support targeted health outcomes. The result is a dynamic delivery of personalized and explainable food recommendations, tailored to individual user preferences. Our evaluation of ChatDiet includes a compelling case study, where we establish a causal personal model to estimate individual nutrition effects. Our assessments, including a food recommendation test showcasing a 92% effectiveness rate, coupled with illustrative dialogue examples, underscore ChatDiet's strengths in explainability, personalization, and interactivity.

ObjectiveBlockchain has emerged as a potential data-sharing structure in healthcare because of its decentralization, immutability, and traceability. However, its use in the biomedical domain is yet to be investigated comprehensively, especially from the aspects of implementation and evaluation, by existing blockchain literature reviews. To address this, our review assesses blockchain applications implemented in practice and evaluated with quantitative metrics.Materials and methodsThis systematic review adapts the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to review biomedical blockchain papers published by August 2023 from 3 databases. Blockchain application, implementation, and evaluation metrics were collected and summarized.ResultsFollowing screening, 11 articles were included in this review. Articles spanned a range of biomedical applications including COVID-19 medical data sharing, decentralized internet of things (IoT) data storage, clinical trial management, biomedical certificate storage, electronic health record (EHR) data sharing, and distributed predictive model generation. Only one article demonstrated blockchain deployment at a medical facility.DiscussionEthereum was the most common blockchain platform. All but one implementation was developed with private network permissions. Also, 8 articles contained storage speed metrics and 6 contained query speed metrics. However, inconsistencies in presented metrics and the small number of articles included limit technological comparisons with each other.ConclusionWhile blockchain demonstrates feasibility for adoption in healthcare, it is not as popular as currently existing technologies for biomedical data management. Addressing implementation and evaluation factors will better showcase blockchain's practical benefits, enabling blockchain to have a significant impact on the health sector.

IntroductionBehavioral health emergencies (BHEs) are a common patient encounter for emergency medical services (EMS) clinicians and other first responders, in particular law enforcement (LE) officers. It is critical for EMS clinicians to have management strategies for BHEs, yet relatively little information exists on best practices. In 2016, the Los Angeles County EMS Agency's Commission initiated a comprehensive evaluation of the 9-1-1 response for BHEs and developed a plan for improving the quality of care and safety for patients and first responders.MethodsA Behavioral Health Initiative Committee was assembled with broad representation from EMS, LE, health agencies, and the public. Committee objectives included: 1) produce a process map of the BHE response from the time of a 9-1-1 call to patient arrival at transport destination, 2) identify and describe the different agencies that respond, 3) describe the critical decision points in the EMS and LE field responses, 4) acquire data that quantitatively and/or qualitatively describe the services available, and 5) recommend interventions for system performance improvement.ResultsThe committee generated comprehensive process maps for the prehospital response to BHEs, articulated principles for evaluation, and described key observations of the current system including: 9-1-1 dispatch criteria are variable and often defaults to a LE response, the LE response inadvertently criminalizes BHEs, EMS field treatment protocols for BHEs (and especially agitated patients) are limited, substance use disorder treatment lacks integration, destination options differ by transporting agency, and receiving facilities' capabilities to address BHEs are variable. Recommendations for performance improvement interventions and initial implementation steps included: standardize dispatch protocols, shift away from a LE primary response, augment EMS treatment protocols for BHEs and the management of agitation, develop alternate destination for EMS transport.ConclusionThis paper describes a comprehensive performance improvement initiative in LAC-EMSA's 9-1-1 response to BHEs. The initiative included a thorough current state analysis, followed by future state mapping and the implementation of interventions to reduce LE as the primary responder when an EMS response is often warranted, and to improve EMS protocols and access to resources for BHEs.

Self-report data are essential in health psychology research where an individual's perception is critical to understanding one's health and psychological status. Intensive data collection over time, including daily diary assessments, is necessary in understanding within- and between-person variability in health and psychological processes over time. An "initial elevation or latent decline" (IELD) effect, inherent of self-report data, is increasingly acknowledged in the social psychology literature, but awareness of this effect in health psychology research is lacking, particularly in studies that emphasize within- and between-person variability in self-reports. The IELD effect is a pattern in which responses tend to be more extreme at the initial interview relative to subsequent responses. This paper illustrates the impact of IELD in applications of mixed-effects models based on observational self-reports and concludes that researchers take such effects into account in data analysis or in the research designing phase to help mitigate such effects.

Despite tremendous advances in HIV research, women and gender diverse people-particularly women from racial and ethnic groups under-represented in research, transgender women, and young women-remain disproportionately affected by HIV. Women and gender diverse people face unique challenges and have been under-represented in HIV research. The National Institutes of Health (NIH) is tasked to apply fundamental knowledge about the nature and behaviour of living systems to enhance health, lengthen life, and reduce disability. Rigorous exploration of-and interventions for-the individual, social, biological, structural, and environmental factors that influence HIV prevention, transmission, treatment, and cure is crucial to advance research for women, girls, and gender diverse people across the lifespan. In this Position Paper, we introduce a framework for an intersectional, equity-informed, data-driven approach to research on HIV and women and highlight selected issues for women and gender diverse people, including HIV prevention, HIV cure, ageing with HIV, substance use and misuse, violence, pregnancy, and breastfeeding or chestfeeding. This framework underlines a new HIV and Women Signature Programme from the NIH Office of AIDS Research and Office of Research on Women's Health that advances the NIH vision for women's health, in which all women receive evidence-based HIV prevention, treatment, and care across their lifespan tailored to their unique needs, circumstances, and goals. The time is now to centre the health of women, girls, and gender diverse people across the HIV research continuum.

BackgroundHuman papillomavirus (HPV) infections can cause cancers of the cervix, vagina, vulva, penis, anus, and oropharynx. The most recently approved HPV vaccine, Gardasil-9, protects against HPV infection and can prevent HPV-associated invasive cancers. However, Gardasil-9 is one of the most underused vaccines in the US today. Young adults are at risk for HPV infection, but many are not vaccinated. This study uses a randomized controlled trial (RCT) to test an innovative multilevel intervention to increase HPV vaccination rates among young adults. In this paper, we describe the research protocol.MethodsThe study uses a two by three factorial design. A total of 1200 young adults in Texas, age 18-26 years, who have not been previously fully vaccinated against HPV will be randomly assigned to one of six conditions to receive: (1) standard CDC information about HPV vaccination (control); (2) video narratives about HPV vaccination; (3) written narratives about HPV vaccination; or (4-6) enhanced access to HPV vaccine combined with (4) standard CDC information, (5) video narratives, or (6) written narratives. The two primary outcomes are the rate of HPV vaccination initiation by 3-month follow-up and rate of HPV vaccination completion by 9-month follow-ups. We will determine the impact of the individual level intervention (i.e., persuasive narratives through video or written format), the systemic level intervention (i.e., enhanced access to HPV vaccines), and the combination of both levels, on HPV vaccination initiation and completion. We will also use purposive sampling to select participants to take part in semi-structured interviews/focus groups to better understand the mechanisms of the intervention.DiscussionRecruitment and data collection began in March 2022. We expect to complete data collection by March 2026. We expect that narratives, enhanced access, and the combination of both will improve HPV vaccination initiation and completion rates among young adults. If proven successful, these individual- and system-level interventions can be easily disseminated in regions with low HPV vaccination rates to improve HPV vaccination, and ultimately decrease HPV-related cancer burden.Trial registrationNCT05057312.

IntroductionIn 2015, the National Institute of Dental and Craniofacial Research (NIDCR) launched the Multidisciplinary Collaborative Research Consortium to Reduce Oral Health Disparities in Children, supporting four randomized trials testing strategies to improve preventive care. A Coordinating Center provides scientific expertise, data acquisition and quality assurance services, safety monitoring, and final analysis-ready datasets. This paper describes the trials' economic analysis strategies, placing these strategies within the broader context of contemporary economic analysis methods.MethodsThe Coordinating Center established a Cost Collaborative Working Group to share information from the four trials about the components of their economic analyses. Study teams indicated data sources for their economic analysis using a set of structured tables. The Group meets regularly to share progress, discuss challenges, and coordinate analytic approaches.ResultsAll four trials will calculate incremental cost-effectiveness ratios; two will also conduct cost-utility analyses using proxy diseases to estimate health state utilities. Each trial will consider at least two perspectives. Key process measures include dental services provided to child participants. The non-preference-weighted Early Childhood Oral Health Impact Scale (ECOHIS) will measure oral health-related quality of life. All trials are measuring training, implementation, personnel and supervision, service, supplies, and equipment costs.ConclusionsConsistent with best practices, all four trials have integrated economic analysis during their planning stages. This effort is critical since poor quality or absence of essential data can limit retrospective analysis. Integrating economic analysis into oral health preventive intervention research can provide guidance to clinicians and practices, payers, and policymakers.

Abstract: Economic risk and instability are urgent and central facts in the lives of increasing numbers of Americans. Though experienced as “personal,” the causes of life disruptions like unemployment, eviction, and loss of health insurance are also deeply political. In this paper, we build on existing “single crisis” studies to offer a comprehensive theoretical and empirical picture of how life disruptions shape political behavior. We use several large surveys to show that personal crises generally dampen turnout but sometimes spur other political acts. We also find that highly politicized crises (such as those related to COVID) boost all forms of participation. Our findings speak to the importance of considering life disruptions in the study of political behavior, particularly in an era when the lives of Americans are especially precarious.

ObjectiveThe Mexican government has pursued multiple initiatives to improve healthcare coverage and financial protection. Yet, out-of-pocket health spending and use of private sector providers in Mexico remains high. In this paper, we sought to describe the characteristics of public and private healthcare users, describe recent visit quality across provider types, and to assess whether perceiving the public healthcare sector as poor quality is associated with private health sector use.Methods and findingsWe analyzed the cross-sectional People's Voice Survey conducted from December 2022 to January 2023. We used Chi-square tests to compare contextual, individual, and need-for-care factors and ratings of most recent visits between users of public (social security and other public providers) and private sector providers (stand-alone private providers and providers adjacent to pharmacies). We used a multivariable Poisson regression model to assess associations between low ratings of public healthcare sources and the use of private care. Among the 811 respondents with a healthcare visit in the past year, 31.2% used private sources. Private healthcare users were more educated and had higher incomes than public healthcare users. Quality of most recent visit was rated more highly in private providers (70.2% rating the visit as excellent or very good for stand-alone private providers and 54.3% for pharmacy-adjacent doctors) compared to social security (41.6%) and other public providers (46.6%). Those who perceived public health institutions as low quality had a higher probability of seeking private healthcare.ConclusionUsers rated public care visits poorly relative to private care; at the population level, perceptions of poor quality care may drive private care use and hence out-of-pocket costs. Improving public healthcare quality is necessary to ensure universal health coverage.

BackgroundVaccine hesitancy, delaying or refusing to vaccinate despite the availability of vaccines, impedes the progress of achieving optimal HPV vaccine coverage. Little is known about the sources of human papillomavirus (HPV) vaccine hesitancy among racially/ethnically and geographically diverse communities. The purpose of this paper is to explore HPV vaccine hesitancy among rural, Slavic, and Latino communities that reside in counties with low HPV vaccine uptake rates.MethodsKey informant interviews and focus groups were conducted with rural, Slavic, and Latino communities that reside within counties in California that have low HPV vaccine up to date rates (16-25%). Qualitative data were transcribed verbatim and analyzed using inductive and deductive thematic analysis.ResultsA total of seven focus groups and 14 key informant interviews were conducted with 39 individuals from seven California counties. Salient themes that contributed to HPV vaccine hesitancy included the following: social media and the anti-vaccination movement; a strong belief in acquiring immunity naturally; prior vaccine experiences; and vaccine timing concerns. Participants suggested the provision of culturally appropriate, in-language, in-person easy to understand HPV vaccine education to mitigate HPV vaccine hesitancy.ConclusionsOur findings can inform future interventions to increase HPV vaccine uptake among hesitant communities.

BackgroundHIV or sexually transmitted infections remain a significant public health concern in the United States, with adolescents affected disproportionately. Adolescents engage in HIV/STI risk behaviors, including drug use and condomless sex, which increase the risk for HIV/STIs. At-risk adolescents, many of whom are racial minorities, experience HIV/STI disparities. Although at-risk adolescents are disproportionately affected by HIV/STI risk behaviors and infections and although the Centers for Disease Control and Prevention recommends routine HIV/STI testing for adolescents, relatively few adolescents report having ever been tested for HIV/STI. With expected increases in health clinic visits as a result of the Affordable Care Act combined with technological advances, health clinics and mobile health (mHealth), including apps, provide innovative contexts and tools to engage at-risk adolescents in HIV/STI prevention programs. Yet, there is a dearth of efficacious mHealth interventions in health clinics to prevent and reduce both condomless sex and drug use and increase HIV/STI testing for at-risk adolescents.ObjectiveTo address this gap in knowledge, we developed a theory-driven, culturally congruent mHealth intervention (hereon referred to as S4E [Storytelling 4 Empowerment]) that has demonstrated feasibility and acceptability in a clinical setting. The next step is to examine the preliminary efficacy of S4E on adolescent HIV/STI testing and risk behaviors. This goal will be accomplished by 2 aims: the first aim is to develop a cross-platform and universal version of S4E. The cross-platform and universal version of S4E will be compatible with both iOS and Android operating systems and multiple mobile devices, aimed at providing adolescents with ongoing access to the intervention once they leave the clinic, and the second aim is to evaluate the preliminary efficacy of S4E, relative to usual care control condition, in preventing or reducing drug use and condomless sex and increasing HIV/STI testing in a clinical sample of at-risk adolescents aged 14-21 years living in Southeast Michigan.MethodsIn this study, 100 adolescents recruited from a youth-centered community health clinic will be randomized via blocked randomization with random sequences of block sizes to one of the 2 conditions: S4E mHealth intervention or usual care. Theory-driven and culturally congruent, S4E is an mHealth adaptation of face-to-face storytelling for empowerment, which is registered with the Substance Abuse and Mental Health Services Administration's National Registry of Evidence-Based Programs and Practices.ResultsThis paper describes the protocol of our study. The recruitment began on May 1, 2018. This study was registered on December 11, 2017, in ClinicalTrials.gov. All participants have been recruited. Data analysis will be complete by the end of March 2024, with study findings available by December 2024.ConclusionsThis study has the potential to improve public health by preventing HIV/STI and substance use disorders.Trial registrationClinicalTrials.gov NCT03368456; https://clinicaltrials.gov/study/NCT03368456.International registered report identifier (irrid)DERR1-10.2196/47216.

Background: Orthopedic oncology research is hindered by the scarcity of musculoskeletal tumors and research administrative inefficiencies. This paper introduces observational research through an innovative institution-specific methodology-termed an umbrella protocol. This protocol outlines a comprehensive standard procedure to expedite ethical approval for future aligned studies, reducing administrative barriers to research. Methods: We developed an umbrella protocol at an academic center, involving meticulous methodological identification and coordination with the institutional review board (IRB) to adhere to local guidelines. The protocol encompasses identifying investigators, research objectives, study goals, and data and safety monitoring frameworks necessary for typical standards. Results: Implementation of the umbrella protocol took 110 days to achieve exemption status, following multiple discussions with the IRB and extensive revisions. At the authors institution, this protocol significantly reduces protocol review times from an average of six-to-eight weeks to nearly instantaneous, facilitating a streamlined research process. Additionally, we established a dedicated orthopedic oncology patient registry to enhance future research endeavors. Conclusions: The adoption of umbrella protocols represents a pioneering strategy in orthopedic oncology. This approach mitigates research administrative burdens and broadens research scope in the field. It underscores the necessity of IRB collaboration, methodological precision, and stringent data management. The article also reflects on the ethical implications and potential biases introduced by emerging technologies like artificial intelligence, advocating for diligent ethical oversight. The establishment of an umbrella protocol marks a significant step towards more efficient research methodologies, ultimately aiming to improve patient care and outcomes for individuals with rare musculoskeletal conditions.

Indonesian children suffer from stunting because of a chronic lack of energy and protein intake. Maternal caregiving capabilities are skills and attributes of the mother which determine their ability to use resources for positive nutrition to support their children's health. This study aimed to analyse the association between maternal caregiving capabilities and energy-protein adequacy among children with stunting. This study used a cross-sectional correlation design. The data was collected using a maternal caregiving capabilities questionnaire and 24-hour food recall in 130 mothers of children aged 2 to 5 years with stunted growth, registered at Puskesmas. The study found a significant association between maternal caregiving capabilities and a child's energy and protein adequacy. As mothers' maternal caregiving capabilities increased, their capacity to provide adequate energy and protein for their children increased. We believe that community health nurses can promote health and empower mothers to increase their capability to meet the nutritional needs of children. [ABSTRACT FROM AUTHOR]

Highlights • Smoking is a notable and extensively debated risk factor for problems following tooth extraction, but research on electronic cigarettes remains scarce. • Electronic cigarettes contain various components comparable with those in conventional cigarettes, potentially resulting in similar chemical composition and effects on alveolar osteitis. Abstract Background: Tooth extraction is one of the minor dental surgical procedures involving the hard and soft tissues of the oral cavity and has several possible complications. One potential risk is alveolar osteitis, also known as dry socket, which is an inflammation marked by intense pain and the dislodging of the blood clot. Smoking behavior is a significant risk factor for alveolar osteitis. Objective: This article aimed to analyze the effect of smoking and electronic cigarette ingredients on the incidence of alveolar osteitis after tooth extraction. Material and Methods: This research was conducted as a scoping review by performing thorough search of the PubMed, Scopus, ScienceDirect, and Google Scholar databases. Research published between 2013 and August 2023 in English language were assessed in this review. Result: A total of ten papers have been included in the analysis. Comparative studies consistently demonstrated that individuals who engage in smoking are at a significantly elevated risk of developing alveolar osteitis following tooth extraction. Discussion: Both conventional and electronic cigarettes can dislodge the blood clot that forms at the tooth socket after tooth extraction as a result of the sucking movement involved in smoking. Electronic cigarette components reduce oxygen delivery to healing tissues, hence accelerating fibrinolysis. Conclusion: Electronic cigarettes affect the occurrence of alveolar osteitis by the act of smoke inhaling and the presence of substances like carbon monoxide and nicotine.