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In light of the suboptimal noncommunicable disease (NCD) risk factor surveillance efforts, the study's main objectives were to: (i) characterize the epidemiological profile of NCD risk factors; (ii) estimate the prevalence of hypertension; and (iii) identify factors associated with hypertension in a peri-urban and rural Ugandan population. A population-based cross-sectional survey of adults was conducted at the Iganga-Mayuge Health and Demographic Surveillance System site in eastern Uganda. After describing sociodemographic characteristics, the prevalence of NCD risk factors and hypertension was reported. Prevalence ratios for NCD risk factors were calculated using weighted Poisson regression to identify factors associated with hypertension. Among 3220 surveyed respondents (mean age: 35.3 years (standard error: 0.1), 49.4% males), 4.4% were current tobacco users, 7.7% were current drinkers, 98.5% had low fruit and vegetable consumption, 26.9% were overweight, and 9.3% were obese. There was a high prevalence of hypertension and prehypertension, at 17.1% and 48.8%, respectively. Among hypertensive people, most had uncontrolled hypertension, at 97.4%. When we examined associated factors, older age (adjusted prevalence ratio (APR): 3.1, 95% CI: 2.2-4.4, APR: 5.2, 95% CI: 3.7-7.3, APR: 8.9, 95% CI: 6.4-12.5 among 30-44, 45-59, and 60+-year-old people than 18-29-year-olds), alcohol drinking (APR: 1.6, 95% CI: 1.3-2.0, ref: no), always adding salt during eating (APR: 1.6, 95% CI: 1.1-2.2, ref: no), poor physical activity (APR: 1.3, 95% CI: 1.1-1.6, ref: no), overweight (APR: 1.3, 95% CI: 1.1-1.5, ref: normal weight), and obesity (APR: 2.0, 95% CI: 1.6-2.4, ref: normal weight) had higher prevalence of hypertension than their counterparts. The high prevalence of NCD risk factors highlights the immediate need to implement and scale-up population-level strategies to increase awareness about leading NCD risk factors in Uganda. These strategies should be accompanied by concomitant investment in building health systems capacity to manage and control NCDs.

Objectives Team-based care is essential for improving hypertension outcomes in low-resource settings. We assessed perceptions of country representatives and healthcare workers (HCWs) on team-based hypertension care in low/middle-income countries.Design Two cross-sectional surveys.Setting The first survey (Country Profile Survey) was conducted in 17 countries and eight in-country regions: Algeria, Bangladesh, Burundi, Chile, China (Beijing, Henan, Shandong), Cuba, Ethiopia, India (Kerala, Madhya Pradesh, Maharashtra, Punjab, Telangana), Nepal, Nigeria, Philippines, Saint Lucia, Sri Lanka, Thailand, Turkey, Uganda and Vietnam. The second survey (HCW Survey) was conducted in four countries: Bangladesh, China, Ethiopia and Nigeria.Participants Using convenience sampling, participants for the Country Profile Survey were representatives from 17 countries and eight in-country regions, and the HCW Survey was administered to HCWs in Bangladesh, China, Ethiopia and Nigeria.Outcome measures Country-level use of team-based hypertension care framework, comprising administrative, basic and advanced clinical tasks. Current practices of different HCW cadres, perspectives on team-based management of hypertension, barriers and facilitators.Results In the Country Profile Survey, all (23/23, 100%) countries/regions surveyed integrated team-based care for basic clinical hypertension management tasks, less for advanced tasks (7/23, 30%). In the HCW Survey, 854 HCWs participated, 47% of whom worked in rural settings. Most HCWs in the sample acknowledged the value of team-based hypertension care. Although there were slight variations by country in the study sample, overall, barriers to team-based hypertension care were identified as inadequate training (83%); regulatory issues (76%); resistance by patients (56%), physicians (42%) and nurses (40%). Facilitators identified were use of treatment algorithms (94%), telehealth/m-health technology (92%) and adequate compensation for HCWs (80%).Conclusions Our findings revealed key lessons for health systems and governments regarding team-based care implementation. Specifically, policies to facilitate additional training, optimise HCWs’ roles within care teams, use of hypertension treatment protocols and telehealth/m-health technology will be essential to promote team-based care.

Objectives As mobile phone ownership becomes more widespread in low-income and middle-income countries, mobile phone surveys (MPSs) present an opportunity to collect data on health more cost-effectively. However, selectivity and coverage biases in MPS are concerns, and there is limited information about the population-level representativeness of these surveys compared with household surveys. This study aims at comparing the sociodemographic characteristics of the respondents of an MPS on non-communicable disease risk factors to a household survey in Colombia.Design Cross-sectional study. We used a random digit dialling method to select the samples for calling mobile phone numbers. The survey was conducted using two modalities: computer-assisted telephone interviews (CATIs) and interactive voice response (IVR). The participants were assigned randomly to one of the survey modalities based on a targeted sampling quota stratified by age and sex. The Quality-of-Life Survey (ECV), a nationally representative survey conducted in the same year of the MPS, was used as a reference to compare the sample distributions by sociodemographic characteristics of the MPS data. Univariate and bivariate analyses were performed to evaluate the population representativeness between the ECV and the MPSs.Setting The study was conducted in Colombia in 2021.Participants Population at least 18 years old with a mobile phone.Results We completed 1926 and 2983 interviews for CATI and IVR, respectively. We found that the MPS data have a similar (within 10% points) age–sex data distribution compared with the ECV dataset for some subpopulations, mainly for young populations, people with none/primary and secondary education levels, and people who live in urban and rural areas.Conclusions This study shows that MPS could collect similar data to household surveys in terms of age, sex, high school education level and geographical area for some population categories. Strategies are needed to improve representativeness of the under-represented groups.

IntroductionAlthough interactive voice response (IVR) is a promising mobile phone survey (MPS) method for public health data collection in low- and middle-income countries (LMICs), participation rates for this method remain lower than traditional methods. This study tested whether using different introductory messages increases the participation rates of IVR surveys in two LMICs, Bangladesh and Uganda.MethodsWe conducted two randomized, controlled micro-trials using fully-automated random digit dialing to test the impact of (1) the gender of the speaker recording the survey (i.e., survey voice); and (2) the valence of the invitation to participate in the survey (i.e., survey introduction) on response and cooperation rates. Participants indicated their consent by using the keypad of cellphones. Four study arms were compared: (1) male and informational (MI); (2) female and information (FI); (3) male and motivational (MM); and (4) female and motivational (FM).ResultsBangladesh and Uganda had 1705 and 1732 complete surveys, respectively. In both countries, a majority of the respondents were males, young adults (i.e., 18-29-year-olds), urban residents, and had O-level/above education level. In Bangladesh, the contact rate was higher in FI (48.9%), MM (50.0%), and FM (55.2%) groups than in MI (43.0%); the response rate was higher in FI (32.3%) and FM (33.1%) but not in MM (27.2%) and MI (27.1%). Some differences in cooperation and refusal rates were also observed. In Uganda, MM (65.4%) and FM (67.9%) had higher contact rates than MI (60.8%). The response rate was only higher in MI (52.5%) compared to MI (45.9%). Refusal and cooperation rates were similar. In Bangladesh, after pooling by introductions, female arms had higher contact (52.1% vs 46.5%), response (32.7% vs 27.1%), and cooperation (47.8% vs 40.4%) rates than male arms. Pooling by gender showed higher contact (52.3% vs 45.6%) and refusal (22.5% vs 16.3%) rates but lower cooperation rate (40.0% vs 48.2%) in motivational arms than informational arms. In Uganda, pooling intros did not show any difference in survey rates by gender; however, pooling by intros showed higher contact (66.5% vs 61.5%) and response (50.0% vs 45.2%) rates in motivational arms than informational arms.ConclusionOverall, we found higher survey rates among female voice and motivational introduction arms compared to male voice and informational introduction arm in Bangladesh. However, Uganda had higher rates for motivational intro arms only compared to informational arms. Gender and valence must be considered for successful IVR surveys.Trial registrationName of the registry: ClinicalTrials.gov. Trial registration number: NCT03772431. Date of registration: 12/11/2018, Retrospectively Registered. URL of trial registry record: https://clinicaltrials.gov/ct2/show/NCT03772431?term=03772431&cond=Non-Communicable+Disease&draw=2&rank=1. Protocol Availability: https://www.researchprotocols.org/2017/5/e81.

IntroductionAutomated mobile phone surveys (MPS) can be used to collect public health data of various types to inform health policy and programs globally. One challenge in administering MPS is identification of an appropriate and effective participant consent process. This study investigated the impact of different survey consent approaches on participant disposition (response characteristics and understanding of the purpose of the survey) within the context of an MPS that measured noncommunicable disease (NCD) risk factors across Colombia and Uganda.MethodsParticipants were randomized to one of five consent approaches, with consent modules varying by the consent disclosure and mode of authorization. The control arm consisted of a standard consent disclosure and a combined opt-in/opt-out mode of authorization. The other four arms consist of a modified consent disclosure and one of four different forms of authorization (i.e., opt-in, opt-out, combined opt-in/opt-out, or implied). Data related to respondent disposition and respondent understanding of the survey purpose were analyzed.ResultsAmong 1889 completed surveys in Colombia, differences in contact, response, refusal, and cooperation rates by study arms were found. About 68% of respondents correctly identified the survey purpose, with no significant difference by study arm. Participants reporting higher levels of education and urban residency were more likely to identify the purpose correctly. Participants were also more likely to accurately identify the survey purpose after completing several survey modules, compared to immediately following the consent disclosure (78.8% vs 54.2% correct, pConclusionThis study contributes to the limited available evidence regarding consent procedures for automated MPS. Future studies should develop and trial additional interventions to enhance consent for automated public health surveys, and measure other dimensions of participant engagement and understanding.

IntroductionIncreased mobile phone subscribership in low- and middle-income countries (LMICs) provides novel opportunities to track population health. The objective of this study was to examine reliability of data in comparing participant responses collected using two mobile phone survey (MPS) delivery modalities, computer assisted telephone interviews (CATI) and interactive voice response (IVR) in Bangladesh (BGD) and Tanzania (TZA).MethodsUsing a cross-over design, we used random digit dialing (RDD) to call randomly generated mobile phone numbers and recruit survey participants to receive either a CATI or IVR survey on non-communicable disease (NCD) risk factors, followed 7 days later by the survey mode not received during first contact; either IVR or CATI. Respondents who received the first survey were designated as first contact (FC) and those who consented to being called a second time and subsequently answered the call were designated as follow-up (FU). We used the same questionnaire for both contacts, with response options modified to suit the delivery mode. Reliability of responses was analyzed using the Cohen's kappa statistic for percent agreement between two modes.ResultsSelf-reported data on demographic characteristics and NCD behavioral risk factors were collected from 482 (CATI-FC) and 653 (IVR-FC) age-eligible and consenting respondents in BGD, and from 387 (CATI-FC) and 674 (IVR-FC) respondents in TZA respectively. Survey follow-up rates were 30.7% (n = 482) for IVR-FU and 53.8% (n = 653) for CATI-FU in BGD; and 42.4% (n = 387) for IVR-FU and 49.9% (n = 674) for CATI-FU in TZA respectively. Overall, there was high consistency between delivery modalities for alcohol consumption in the past 30 days in both countries (kappa = 0.64 for CATI→IVR (BGD), kappa = 0.54 for IVR→CATI (BGD); kappa = 0.66 for CATI→IVR (TZA), kappa = 0.76 for IVR→CATI (TZA)), and current smoking (kappa = 0.68 for CATI→IVR (BGD), kappa = 0.69 for IVR→CATI (BGD); kappa = 0.39 for CATI→IVR (TZA), kappa = 0.50 for IVR→CATI (TZA)). There was moderate to substantial consistency in both countries for history of checking for hypertension and diabetes with kappa statistics ranging from 0.43 to 0.67. There was generally lower consistency in both countries for physical activity (vigorous and moderate) with kappa statistics ranging from 0.10 to 0.41, weekly fruit and vegetable with kappa ranging from 0.08 to 0.45, consumption of foods high in salt and efforts to limit salt with kappa generally below 0.3.ConclusionsThe study found that when respondents are re-interviewed, the reliability of answers to most demographic and NCD variables is similar whether starting with CATI or IVR. The study underscores the need for caution when selecting questions for mobile phone surveys. Careful design can help ensure clarity of questions to minimize cognitive burden for respondents, many of whom may not have prior experience in taking automated surveys. Further research should explore possible differences and determinants of survey reliability between delivery modes and ideally compare both IVR and CATI surveys to in-person face-to-face interviews. In addition, research is needed to better understand factors that influence survey cooperation, completion, refusal and attrition rates across populations and contexts.

OBJECTIVE: To describe how the SUPPORT collaboration developed a short summary format for presenting the results of systematic reviews to policy-makers in low- and middle-income countries (LMICs). METHODS: We carried out 21 user tests in six countries to explore users' experiences with the summary format. We modified the summaries based on the results and checked our conclusions through 13 follow-up interviews. To solve the problems uncovered by the user testing, we also obtained advisory group feedback and conducted working group workshops. FINDINGS: Policy-makers liked a graded entry format (i.e. short summary with key messages up front). They particularly valued the section on the relevance of the summaries for LMICs, which compensated for the lack of locally-relevant detail in the original review. Some struggled to understand the text and numbers. Three issues made redesigning the summaries particularly challenging: (i) participants had a poor understanding of what a systematic review was; (ii) they expected information not found in the systematic reviews and (iii) they wanted shorter, clearer summaries. Solutions included adding information to help understand the nature of a systematic review, adding more references and making the content clearer and the document quicker to scan. CONCLUSION: Presenting evidence from systematic reviews to policy-makers in LMICs in the form of short summaries can render the information easier to assimilate and more useful, but summaries must be clear and easy to read or scan quickly. They should also explain the nature of the information provided by systematic reviews and its relevance for policy decisions.

This study assessed the effects of scaling-up Integrated Management of Childhood Illness (IMCI) on the quality of care received by sick children in 10 districts in Uganda. Health workers trained in IMCI were found to deliver significantly better care than health workers who had not yet been trained, but absolute levels of service quality remained low. Achieving training coverage alone is not sufficient as a strategy to improve and sustain care quality. Other factors including training quality, effective supervision, availability of essential drugs, vaccines and equipment, and the policy context are also important and must be included in child survival policies and plans. [ABSTRACT FROM AUTHOR]

Background Uptake of mobile phone surveys (MPS) is increasing in many low- and middle-income countries, particularly within the context of data collection on non-communicable diseases (NCDs) behavioural risk factors. One barrier to collecting representative data through MPS is capturing data from older participants. Respondent driven sampling (RDS) consists of chain-referral strategies where existing study subjects recruit follow-up participants purposively based on predefined eligibility criteria. Adapting RDS strategies to MPS efforts could, theoretically, yield higher rates of participation for that age group. Objective To investigate factors that influence the perceived acceptability of a RDS recruitment method for MPS involving people over 45 years of age living in Colombia. Methods An MPS recruitment strategy deploying RDS techniques was piloted to increase participation of older populations. We conducted a qualitative study that drew from surveys with open and closed-ended items, semi-structured interviews for feedback, and focus group discussions to explore perceptions of the strategy and barriers to its application amongst MPS participants. Results The strategy’s success is affected by factors such as cultural adaptation, institutional credibility and public trust, data protection, and challenges with mobile phone technology. These factors are relevant to individuals’ willingness to facilitate RDS efforts targeting hard-to-reach people. Recruitment strategies are valuable in part because hard-to-reach populations are often most accessible through their contacts within their social network who can serve as trust liaisons and drive engagement. Conclusions These findings may inform future studies where similar interventions are being considered to improve access to mobile phone-based data collection amongst hard-to-reach groups.

Abstract Background Community health workers (CHWs) play a critical role in grassroots healthcare and are essential for achieving the health-related Sustainable Development Goals. While there is a critical shortage of essential health workers in low- and middle-income countries, WHO and international partners have reached a consensus on the need to expand and strengthen CHW programmes as a key element in achieving Universal Health Coverage (UHC). The COVID-19 pandemic has further revealed that emerging health challenges require quick local responses such as those utilizing CHWs. This is the second paper of our 11-paper supplement, “Community health workers at the dawn of a new era”. Our objective here is to highlight questions, challenges, and strategies for stakeholders to consider while planning the introduction, expansion, or strengthening of a large-scale CHW programme and the complex array of coordination and partnerships that need to be considered. Methods The authors draw on the outcomes of discussions during key consultations with various government leaders and experts from across policy, implementation, research, and development organizations in which the authors have engaged in the past decade. These include global consultations on CHWs and global forums on human resources for health (HRH) conferences between 2010 and 2014 (Montreux, Bangkok, Recife, Washington DC). They also build on the authors’ direct involvement with the Global Health Workforce Alliance. Results Weak health systems, poor planning, lack of coordination, and failed partnerships have produced lacklustre CHW programmes in countries. This paper highlights the three issues that are generally agreed as being critical to the long-term effectiveness of national CHW programmes—planning, coordination, and partnerships. Mechanisms are available in many countries such as the UHC2030 (formerly International Health Partnership), country coordinating mechanisms (CCMs), and those focusing on the health workforce such as the national Human Resources for Health Observatory and the Country Coordination and Facilitation (CCF) initiatives introduced by the Global Health Workforce Alliance. Conclusion It is imperative to integrate CHW initiatives into formal health systems. Multidimensional interventions and multisectoral partnerships are required to holistically address the challenges at national and local levels, thereby ensuring synergy among the actions of partners and stakeholders. In order to establish robust and institutionalized processes, coordination is required to provide a workable platform and conducive environment, engaging all partners and stakeholders to yield tangible results.

Abstract Background This is the first study to examine the costs of conducting a mobile phone survey (MPS) through interactive voice response (IVR) to collect information on risk factors for noncommunicable diseases (NCD) in three low- and middle-income countries (LMIC); Bangladesh, Colombia, and Uganda. Methods This is a micro-costing study conducted from the perspective of the payer/funder with a 1-year horizon. The study evaluates the fixed costs and variable costs of implementing one nationally representative MPS for NCD risk factors of the adult population. In this costing study, we estimated the sample size of calls required to achieve a population-representative survey and associated incentives. Cost inputs were obtained from direct economic costs incurred by a central study team, from country-specific collaborators, and from platform developers who participated in the deployment of these MPS during 2017. Costs were reported in US dollars (USD). A sensitivity analysis was conducted assessing different scenarios of pricing and incentive strategies. Also, costs were calculated for a survey deployed targeting only adults younger than 45 years. Results We estimated the fixed costs ranging between $47,000 USD and $74,000 USD. Variable costs were found to be between $32,000 USD and $129,000 USD per nationally representative survey. The main cost driver was the number of calls required to meet the sample size, and its variability largely depends on the extent of mobile phone coverage and access in the country. Therefore, a larger number of calls were estimated to survey specific harder-to-reach sub-populations. Conclusion Mobile phone surveys have the potential to be a relatively less expensive and timely method of collecting survey information than face-to-face surveys, allowing decision-makers to deploy survey-based monitoring or evaluation programs more frequently than it would be possible having only face-to-face contact. The main driver of variable costs is survey time, and most of the variability across countries is attributable to the sampling differences associated to reaching out to population subgroups with low mobile phone ownership or access.

Background Data collection on noncommunicable disease (NCD) behavioral risk factors has traditionally been carried out through face-to-face surveys. However, its high costs and logistical difficulties can lead to lack of timely statistics for planning, particularly in low and middle-income countries. Mobile phone surveys (MPS) have the potential to fill these gaps. Objective This study explores perceptions, feasibility and strategies to increase the acceptability and response rate of health surveys administered through MPS using interactive voice response in Colombia. Method A sequential multimodal exploratory design was used. We conducted key informant interviews (KII) with stakeholders from government and academia; focus group discussions (FGDs) and user-group tests (UGTs) with young adults and elderly people living in rural and urban settings (men and women). The KII and FGDs explored perceptions of using mobile phones for NCD surveys. In the UGTs, participants were administered an IVR survey, and they provided feedback on its usability and potential improvement. Results Between February and November 2017, we conducted 7 KII, 6 FGDs (n = 54) and 4 UGTs (n = 34). Most participants consider MPS is a novel way to explore risk factors in NCDs. They also recognize challenges for their implementation including security issues, technological literacy and telecommunications coverage, especially in rural areas. It was recommended to promote the survey using mass media before its deployment and stressing its objectives, responsible institution and data privacy safeguards. The preferences in the survey administration relate to factors such as skills in the use of mobile phones, age, availability of time and educational level. The participants recommend questionnaires shorter than 10 minutes. Conclusions The possibility of obtaining data through MPS at a population level represents an opportunity to improve the availability of risk-factor data. Steps towards increasing the acceptability and overcoming technological and methodological challenges need to be taken.