Promised and Lottery Airtime Incentives to Improve Interactive Voice Response Survey Participation Among Adults in Bangladesh and Uganda: Randomized Controlled Trial.

BACKGROUND: Increased mobile phone penetration allows the interviewing of respondents using interactive voice response surveys in low- and middle-income countries. However, there has been little investigation of the best type of incentive to obtain data from a representative sample in these countries. OBJECTIVE: We assessed the effect of different airtime incentives options on cooperation and response rates of an interactive voice response survey in Bangladesh and Uganda. METHODS: The open-label randomized controlled trial had three arms: (1) no incentive (control), (2) promised airtime incentive of 50 Bangladeshi Taka (US $0.60; 1 BDT is approximately equivalent to US $0.012) or 5000 Ugandan Shilling (US $1.35; 1 UGX is approximately equivalent to US $0.00028), and (3) lottery incentive (500 BDT and 100,000 UGX), in which the odds of winning were 1:20. Fully automated random-digit dialing was used to sample eligible participants aged ≥18 years. The risk ratios (RRs) with 95% confidence intervals for primary outcomes of response and cooperation rates were obtained using log-binomial regression. RESULTS: Between June 14 and July 14, 2017, a total of 546,746 phone calls were made in Bangladesh, with 1165 complete interviews being conducted. Between March 26 and April 22, 2017, a total of 178,572 phone calls were made in Uganda, with 1248 complete interviews being conducted. Cooperation rates were significantly higher for the promised incentive (Bangladesh: 39.3%; RR 1.38, 95% CI 1.24-1.55, P<.001; Uganda: 59.9%; RR 1.47, 95% CI 1.33-1.62, P<.001) and the lottery incentive arms (Bangladesh: 36.6%; RR 1.28, 95% CI 1.15-1.45, P<.001; Uganda: 54.6%; RR 1.34, 95% CI 1.21-1.48, P<.001) than those for the control arm (Bangladesh: 28.4%; Uganda: 40.9%). Similarly, response rates were significantly higher for the promised incentive (Bangladesh: 26.5%%; RR 1.26, 95% CI 1.14-1.39, P<.001; Uganda: 41.2%; RR 1.27, 95% CI 1.16-1.39, P<.001) and lottery incentive arms (Bangladesh: 24.5%%; RR 1.17, 95% CI 1.06-1.29, P=.002; Uganda: 37.9%%; RR 1.17, 95% CI 1.06-1.29, P=.001) than those for the control arm (Bangladesh: 21.0%; Uganda: 32.4%). CONCLUSIONS: Promised or lottery airtime incentives improved survey participation and facilitated a large sample within a short period in 2 countries. TRIAL REGISTRATION: ClinicalTrials.gov NCT03773146; http://clinicaltrials.gov/ct2/show/NCT03773146.

A cost study for mobile phone health surveys using interactive voice response for assessing risk factors of noncommunicable diseases.

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.

Community health workers at the dawn of a new era: 2. Planning, coordination, and partnerships.

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.

Adaptation and validation of UNICEF/Washington group child functioning module at the Iganga-Mayuge health and demographic surveillance site in Uganda.

BACKGROUND: The UNICEF/Washington Group Child Functioning Module (CFM) assesses child functioning among children between 5 and 17 years of age. This study adapted and validated the CFM at the Iganga-Mayuge Health and Demographic Surveillance Site (IM-HDSS) in Uganda. METHODS: This cross-sectional study was conducted between September 2018-January 2019 at the IM-HDSS. Respondents were caregivers of children between 5 and 17 years of age who were administered modified Washington Group short set (mWG-SS) and CFM. The responses were recorded on a 4-point Likert scale. Descriptive analysis was conducted on child and caregiver demographic characteristics. Exploratory factor analysis (EFA) assessed underlying factor structure, dimensionality and factor loadings. Cronbach's alpha was reported as an assessment of internal consistency. Face validity was assessed during the translation process, and concurrent validity of CFM was assessed through comparison with disability short form. RESULTS: Out of 1842 caregivers approached, 1439 (78.1%) participated in the study. Mean age of children was 11.06 ± 3.59 years, 51.4% were males, and 86.1% had a primary caregiver. Based on EFA, vision, hearing, walking, self-care, communication, learning, remembering, concentrating, accepting change, behavior control, and making friends loaded on factor 1 - "Motor and Cognition," while anxiety and depression loaded on factor 2 - "Mood". Cronbach's alpha for the overall CFM was 0.899 (good internal consistency). Cronbach's alpha for each extracted factor was excellent, motor and cognition (0.904), and mood (0.902). CFM had acceptable face validity. Spearman's rank correlation between scores of CFM and modified WG short set was 0.51 (p-value < 0.001). The overall mean CFM score was 2.47 ± 3.82 out of 39. The mean score for Mood (1.35 ± 1.42 out of 6) was higher compared to Motor and Cognition (1.12 ± 3.06 out of 33). Comparing modified WG short set and CFM Likert responses, the percent agreement was greatest for "cannot do at all." CONCLUSION: CFM is a two-factor, valid and reliable scale for assessing disability in Uganda and can be applied to other similar settings to contribute towards disability data from the region. It is an easy-to-administer tool that can help in deeper understanding of context-specific burden and extent of disability in children between 5 and 17 years of age.

Biomedical drugs and traditional treatment in care seeking pathways for adults with epilepsy in Masindi district, Western Uganda: a household survey.

BACKGROUND: Many patients with epilepsy in sub-Saharan Africa do not receive adequate treatment. The purpose of the study was to identify the health care providers where patients with epilepsy sought care and what treatment they received. METHODS: A cross sectional study was conducted across 87 out of 312 villages in Masindi district. A total of 305 households having patients with epilepsy were surveyed using an interviewer administered questionnaire. Data was entered and analysed in Epi-info ver 7 for univariate and bivariate analysis, and in Stata SE ver 15.0 for multivariable analysis. Sequences of health providers consulted in care seeking, rationale and drugs used, and factors associated with choice of provider were assessed. RESULTS: A total of 139 out of 305 (45.6%) households offered some treatment regimen at home when patients got symptoms of epilepsy with 44.6% (62/139) giving herbs and 18.0% (25/139) offering prayers. Eight different types of providers were consulted as first contact providers for treatment of epilepsy. Health centres received the highest percentage 35.4% (108/305) followed by hospitals 20.9% (64/305). A total of 192 of 305 (63.0%) households received anti-epileptic drugs, 13.1% (40/305) received prayers and 21.6% (66/305) received herbs at the first contact care seeking. Compared to a health centre as the first choice provider, other facilities more significantly visited were; hospitals if they were perceived as nearer (adj. Coeff 2.16, 95%CI 0.74, 3.59, p = 0.003), churches / mosques if cure for epilepsy was expected (adj. Coeff 1.91, 95%CI 0.38, 3.48, p = 0.014), and traditional healer for those aged ≥46 years (adj. Coeff 5.83, 95%CI 0.67, 10.99, p = 0.027), and friends/neighbour for traders (adj. Coeff 2.87, 95%CI 0.71, 5.04, p = 0.009). CONCLUSION: Patients with epilepsy seek treatment from multiple providers with the public sector attending to the biggest proportion of patients. Engaging the private sector and community health workers, conducting community outreaches and community sensitization with messages tailored for audiences including the young, older epileptics, traditional healers as stakeholders, and traders could increase access to appropriate treatment for epilepsy.

What do we know about community-based health worker programs? A systematic review of existing reviews on community health workers.

OBJECTIVE: To synthesize current understanding of how community-based health worker (CHW) programs can best be designed and operated in health systems. METHODS: We searched 11 databases for review articles published between 1 January 2005 and 15 June 2017. Review articles on CHWs, defined as non-professional paid or volunteer health workers based in communities, with less than 2 years of training, were included. We assessed the methodological quality of the reviews according to AMSTAR criteria, and we report our findings based on PRISMA standards. FINDINGS: We identified 122 reviews (75 systematic reviews, of which 34 are meta-analyses, and 47 non-systematic reviews). Eighty-three of the included reviews were from low- and middle-income countries, 29 were from high-income countries, and 10 were global. CHW programs included in these reviews are diverse in interventions provided, selection and training of CHWs, supervision, remuneration, and integration into the health system. Features that enable positive CHW program outcomes include community embeddedness (whereby community members have a sense of ownership of the program and positive relationships with the CHW), supportive supervision, continuous education, and adequate logistical support and supplies. Effective integration of CHW programs into health systems can bolster program sustainability and credibility, clarify CHW roles, and foster collaboration between CHWs and higher-level health system actors. We found gaps in the review evidence, including on the rights and needs of CHWs, on effective approaches to training and supervision, on CHWs as community change agents, and on the influence of health system decentralization, social accountability, and governance. CONCLUSION: Evidence concerning CHW program effectiveness can help policymakers identify a range of options to consider. However, this evidence needs to be contextualized and adapted in different contexts to inform policy and practice. Advancing the evidence base with context-specific elements will be vital to helping these programs achieve their full potential.

Trends and risk factors of stillbirths and neonatal deaths in Eastern Uganda (1982-2011): a cross-sectional, population-based study.

OBJECTIVES: To identify mortality trends and risk factors associated with stillbirths and neonatal deaths 1982-2011. METHODS: Population-based cross-sectional study based on reported pregnancy history in Iganga-Mayuge Health and Demographic Surveillance Site (HDSS) in Uganda. A pregnancy history survey was conducted among women aged 15-49 years living in the HDSS during May-July 2011 (n = 10 540). Time trends were analysed with cubic splines and linear regression. Potential risk factors were examined with multilevel logistic regression with adjusted odds ratios (AOR) and 95% confidence intervals (CI). RESULTS: 34 073 births from 1982 to 2011 were analysed. The annual rate of decrease was 0.9% for stillbirths and 1.8% for neonatal mortality. Stillbirths were associated with several risk factors: multiple births (AOR 2.57, CI 1.66-3.99), previous adverse outcome (AOR 6.16, CI 4.26-8.88) and grand multiparity among 35- to 49-year-olds (AOR 1.97, CI 1.32-2.89). Neonatal deaths were associated with multiple births (AOR 6.16, CI 4.80-7.92) and advanced maternal age linked with parity of 1-4 (AOR 2.34, CI 1.28-4.25) and grand multiparity (AOR 1.44, CI 1.09-1.90). Education, marital status and household wealth were not associated with the outcomes. CONCLUSIONS: The slow decline in mortality rates and easily identifiable risk factors calls for improving quality of care at birth and a rethinking of how to address obstetric risks, potentially a revival of the risk approach in antenatal care.

The Development of an Interactive Voice Response Survey for Noncommunicable Disease Risk Factor Estimation: Technical Assessment and Cognitive Testing.

BACKGROUND: The rise in mobile phone ownership in low- and middle-income countries (LMICs) presents an opportunity to transform existing data collection and surveillance methods. Administering surveys via interactive voice response (IVR) technology-a mobile phone survey (MPS) method-has potential to expand the current surveillance coverage and data collection, but formative work to contextualize the survey for LMIC deployment is needed. OBJECTIVE: The primary objectives of this study were to (1) cognitively test and identify challenging questions in a noncommunicable disease (NCD) risk factor questionnaire administered via an IVR platform and (2) assess the usability of the IVR platform. METHODS: We conducted two rounds of pilot testing the IVR survey in Baltimore, MD. Participants were included in the study if they identified as being from an LMIC. The first round included individual interviews to cognitively test the participant's understanding of the questions. In the second round, participants unique from those in round 1 were placed in focus groups and were asked to comment on the usability of the IVR platform. RESULTS: A total of 12 participants from LMICs were cognitively tested in round 1 to assess their understanding and comprehension of questions in an IVR-administered survey. Overall, the participants found that the majority of the questions were easy to understand and did not have difficulty recording most answers. The most frequent recommendation was to use country-specific examples and units of measurement. In round 2, a separate set of 12 participants assessed the usability of the IVR platform. Overall, participants felt that the length of the survey was appropriate (average: 18 min and 31 s), but the majority reported fatigue in answering questions that had a similar question structure. Almost all participants commented that they thought an IVR survey would lead to more honest, accurate responses than face-to-face questionnaires, especially for sensitive topics. CONCLUSIONS: Overall, the participants indicated a clear comprehension of the IVR-administered questionnaire and that the IVR platform was user-friendly. Formative research and cognitive testing of the questionnaire is needed for further adaptation before deploying in an LMIC.

Health Surveys Using Mobile Phones in Developing Countries: Automated Active Strata Monitoring and Other Statistical Considerations for Improving Precision and Reducing Biases.

In low- and middle-income countries (LMICs), historically, household surveys have been carried out by face-to-face interviews to collect survey data related to risk factors for noncommunicable diseases. The proliferation of mobile phone ownership and the access it provides in these countries offers a new opportunity to remotely conduct surveys with increased efficiency and reduced cost. However, the near-ubiquitous ownership of phones, high population mobility, and low cost require a re-examination of statistical recommendations for mobile phone surveys (MPS), especially when surveys are automated. As with landline surveys, random digit dialing remains the most appropriate approach to develop an ideal survey-sampling frame. Once the survey is complete, poststratification weights are generally applied to reduce estimate bias and to adjust for selectivity due to mobile ownership. Since weights increase design effects and reduce sampling efficiency, we introduce the concept of automated active strata monitoring to improve representativeness of the sample distribution to that of the source population. Although some statistical challenges remain, MPS represent a promising emerging means for population-level data collection in LMICs.

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities.

BACKGROUND: Given the growing interest in mobile data collection due to the proliferation of mobile phone ownership and network coverage in low- and middle-income countries (LMICs), we synthesized the evidence comparing estimates of health outcomes from multiple modes of data collection. In particular, we reviewed studies that compared a mode of remote data collection with at least one other mode of data collection to identify mode effects and areas for further research. OBJECTIVE: The study systematically reviewed and summarized the findings from articles and reports that compare a mode of remote data collection to at least one other mode. The aim of this synthesis was to assess the reliability and accuracy of results. METHODS: Seven online databases were systematically searched for primary and grey literature pertaining to remote data collection in LMICs. Remote data collection included interactive voice response (IVR), computer-assisted telephone interviews (CATI), short message service (SMS), self-administered questionnaires (SAQ), and Web surveys. Two authors of this study reviewed the abstracts to identify articles which met the primary inclusion criteria. These criteria required that the survey collected the data from the respondent via mobile phone or landline. Articles that met the primary screening criteria were read in full and were screened using secondary inclusion criteria. The four secondary inclusion criteria were that two or more modes of data collection were compared, at least one mode of data collection in the study was a mobile phone survey, the study had to be conducted in a LMIC, and finally, the study should include a health component. RESULTS: Of the 11,568 articles screened, 10 articles were included in this study. Seven distinct modes of remote data collection were identified: CATI, SMS (singular sitting and modular design), IVR, SAQ, and Web surveys (mobile phone and personal computer). CATI was the most frequent remote mode (n=5 articles). Of the three in-person modes (face-to-face [FTF], in-person SAQ, and in-person IVR), FTF was the most common (n=11) mode. The 10 articles made 25 mode comparisons, of which 12 comparisons were from a single article. Six of the 10 articles included sensitive questions. CONCLUSIONS: This literature review summarizes the existing research about remote data collection in LMICs. Due to both heterogeneity of outcomes and the limited number of comparisons, this literature review is best positioned to present the current evidence and knowledge gaps rather than attempt to draw conclusions. In order to advance the field of remote data collection, studies that employ standardized sampling methodologies and study designs are necessary to evaluate the potential for differences by survey modality.

Moving the Agenda on Noncommunicable Diseases: Policy Implications of Mobile Phone Surveys in Low and Middle-Income Countries.

The growing burden of noncommunicable diseases (NCDs), for example, cardiovascular diseases and chronic respiratory diseases, in low- and middle-income countries (LMICs) presents special challenges for policy makers, due to resource constraints and lack of timely data for decision-making. Concurrently, the increasing ubiquity of mobile phones in LMICs presents possibilities for rapid collection of population-based data to inform the policy process. The objective of this paper is to highlight potential benefits of mobile phone surveys (MPS) for developing, implementing, and evaluating NCD prevention and control policies. To achieve this aim, we first provide a brief overview of major global commitments to NCD prevention and control, and subsequently explore how countries can translate these commitments into policy action at the national level. Using the policy cycle as our frame of reference, we highlight potential benefits of MPS which include (1) potential cost-effectiveness of using MPS to inform NCD policy actions compared with using traditional household surveys; (2) timeliness of assessments to feed into policy and planning cycles; (3) tracking progress of interventions, hence assessment of reach, coverage, and distribution; (4) better targeting of interventions, for example, to high-risk groups; (5) timely course correction for suboptimal or non-effective interventions; (6) assessing fairness in financial contribution and financial risk protection for those affected by NCDs in the spirit of universal health coverage (UHC); and (7) monitoring progress in reducing catastrophic medical expenditure due to chronic health conditions in general, and NCDs in particular. We conclude that MPS have potential to become a powerful data collection tool to inform policies that address public health challenges such as NCDs. Additional forthcoming assessments of MPS in LMICs will inform opportunities to maximize this technology.

Noncommunicable Disease Risk Factors and Mobile Phones: A Proposed Research Agenda.

Noncommunicable diseases (NCDs) account for two-thirds of all deaths globally, with 75% of these occurring in low- and middle-income countries (LMICs). Many LMICs seek cost-effective methods to obtain timely and quality NCD risk factor data that could inform resource allocation, policy development, and assist evaluation of NCD trends over time. Over the last decade, there has been a proliferation of mobile phone ownership and access in LMICs, which, if properly harnessed, has great potential to support risk factor data collection. As a supplement to traditional face-to-face surveys, the ubiquity of phone ownership has made large proportions of most populations reachable through cellular networks. However, critical gaps remain in understanding the ways by which mobile phone surveys (MPS) could aid in collection of NCD data in LMICs. Specifically, limited information exists on the optimization of these surveys with regard to incentives and structure, comparative effectiveness of different MPS modalities, and key ethical, legal, and societal issues (ELSI) in the development, conduct, and analysis of these surveys in LMIC settings. We propose a research agenda that could address important knowledge gaps in optimizing MPS for the collection of NCD risk factor data in LMICs and provide an example of a multicountry project where elements of that agenda aim to be integrated over the next two years.

Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review.

BACKGROUND: National and subnational level surveys are important for monitoring disease burden, prioritizing resource allocation, and evaluating public health policies. As mobile phone access and ownership become more common globally, mobile phone surveys (MPSs) offer an opportunity to supplement traditional public health household surveys. OBJECTIVE: The objective of this study was to systematically review the current landscape of MPSs to collect population-level estimates in low- and middle-income countries (LMICs). METHODS: Primary and gray literature from 7 online databases were systematically searched for studies that deployed MPSs to collect population-level estimates. Titles and abstracts were screened on primary inclusion and exclusion criteria by two research assistants. Articles that met primary screening requirements were read in full and screened for secondary eligibility criteria. Articles included in review were grouped into the following three categories by their survey modality: (1) interactive voice response (IVR), (2) short message service (SMS), and (3) human operator or computer-assisted telephone interviews (CATI). Data were abstracted by two research assistants. The conduct and reporting of the review conformed to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. RESULTS: A total of 6625 articles were identified through the literature review. Overall, 11 articles were identified that contained 19 MPS (CATI, IVR, or SMS) surveys to collect population-level estimates across a range of topics. MPSs were used in Latin America (n=8), the Middle East (n=1), South Asia (n=2), and sub-Saharan Africa (n=8). Nine articles presented results for 10 CATI surveys (10/19, 53%). Two articles discussed the findings of 6 IVR surveys (6/19, 32%). Three SMS surveys were identified from 2 articles (3/19, 16%). Approximately 63% (12/19) of MPS were delivered to mobile phone numbers collected from previously administered household surveys. The majority of MPS (11/19, 58%) were panel surveys where a cohort of participants, who often were provided a mobile phone upon a face-to-face enrollment, were surveyed multiple times. CONCLUSIONS: Very few reports of population-level MPS were identified. Of the MPS that were identified, the majority of surveys were conducted using CATI. Due to the limited number of identified IVR and SMS surveys, the relative advantages and disadvantages among the three survey modalities cannot be adequately assessed. The majority of MPS were sent to mobile phone numbers that were collected from a previously administered household survey. There is limited evidence on whether a random digit dialing (RDD) approach or a simple random sample of mobile network provided list of numbers can produce a population representative survey.

Ethics Considerations in Global Mobile Phone-Based Surveys of Noncommunicable Diseases: A Conceptual Exploration.

Mobile phone coverage has grown, particularly within low- and middle-income countries (LMICs), presenting an opportunity to augment routine health surveillance programs. Several LMICs and global health partners are seeking opportunities to launch basic mobile phone-based surveys of noncommunicable diseases (NCDs). The increasing use of such technology in LMICs brings forth a cluster of ethical challenges; however, much of the existing literature regarding the ethics of mobile or digital health focuses on the use of technologies in high-income countries and does not consider directly the specific ethical issues associated with the conduct of mobile phone surveys (MPS) for NCD risk factor surveillance in LMICs. In this paper, we explore conceptually several of the central ethics issues in this domain, which mainly track the three phases of the MPS process: predata collection, during data collection, and postdata collection. These include identifying the nature of the activity; stakeholder engagement; appropriate design; anticipating and managing potential harms and benefits; consent; reaching intended respondents; data ownership, access and use; and ensuring LMIC sustainability. We call for future work to develop an ethics framework and guidance for the use of mobile phones for disease surveillance globally.

Inequalities in full immunization coverage: trends in low- and middle-income countries.

OBJECTIVE: To investigate disparities in full immunization coverage across and within 86 low- and middle-income countries. METHODS: In May 2015, using data from the most recent Demographic and Health Surveys and Multiple Indicator Cluster Surveys, we investigated inequalities in full immunization coverage - i.e. one dose of bacille Calmette-Guérin vaccine, one dose of measles vaccine, three doses of vaccine against diphtheria, pertussis and tetanus and three doses of polio vaccine - in 86 low- or middle-income countries. We then investigated temporal trends in the level and inequality of such coverage in eight of the countries. FINDINGS: In each of the World Health Organization's regions, it appeared that about 56-69% of eligible children in the low- and middle-income countries had received full immunization. However, within each region, the mean recorded level of such coverage varied greatly. In the African Region, for example, it varied from 11.4% in Chad to 90.3% in Rwanda. We detected pro-rich inequality in such coverage in 45 of the 83 countries for which the relevant data were available and pro-urban inequality in 35 of the 86 study countries. Among the countries in which we investigated coverage trends, Madagascar and Mozambique appeared to have made the greatest progress in improving levels of full immunization coverage over the last two decades, particularly among the poorest quintiles of their populations. CONCLUSION: Most low- and middle-income countries are affected by pro-rich and pro-urban inequalities in full immunization coverage that are not apparent when only national mean values of such coverage are reported.

Clinical features, proximate causes, and consequences of active convulsive epilepsy in Africa.

PURPOSE: Epilepsy is common in sub-Saharan Africa (SSA), but the clinical features and consequences are poorly characterized. Most studies are hospital-based, and few studies have compared different ecological sites in SSA. We described active convulsive epilepsy (ACE) identified in cross-sectional community-based surveys in SSA, to understand the proximate causes, features, and consequences. METHODS: We performed a detailed clinical and neurophysiologic description of ACE cases identified from a community survey of 584,586 people using medical history, neurologic examination, and electroencephalography (EEG) data from five sites in Africa: South Africa; Tanzania; Uganda; Kenya; and Ghana. The cases were examined by clinicians to discover risk factors, clinical features, and consequences of epilepsy. We used logistic regression to determine the epilepsy factors associated with medical comorbidities. KEY FINDINGS: Half (51%) of the 2,170 people with ACE were children and 69% of seizures began in childhood. Focal features (EEG, seizure types, and neurologic deficits) were present in 58% of ACE cases, and these varied significantly with site. Status epilepticus occurred in 25% of people with ACE. Only 36% received antiepileptic drugs (phenobarbital was the most common drug [95%]), and the proportion varied significantly with the site. Proximate causes of ACE were adverse perinatal events (11%) for onset of seizures before 18 years; and acute encephalopathy (10%) and head injury prior to seizure onset (3%). Important comorbidities were malnutrition (15%), cognitive impairment (23%), and neurologic deficits (15%). The consequences of ACE were burns (16%), head injuries (postseizure) (1%), lack of education (43%), and being unmarried (67%) or unemployed (57%) in adults, all significantly more common than in those without epilepsy. SIGNIFICANCE: There were significant differences in the comorbidities across sites. Focal features are common in ACE, suggesting identifiable and preventable causes. Malnutrition and cognitive and neurologic deficits are common in people with ACE and should be integrated into the management of epilepsy in this region. Consequences of epilepsy such as burns, lack of education, poor marriage prospects, and unemployment need to be addressed.

Financial interventions and movement restrictions for managing the movement of health workers between public and private organizations in low- and middle-income countries.

BACKGROUND: Health workers move between public and private organizations in both urban and rural areas during the course of their career. Depending on the proportion of the population served by public or private organizations in a particular setting, this movement may result in imbalances in the number of healthcare providers available relative to the population receiving care from that sector. However, both public and private organizations are needed as each sector has unique contributions to make to the effective delivery of health services. OBJECTIVES: To assess the effects of financial incentives and movement restriction interventions to manage the movement of health workers between public and private organizations in low- and middle-income countries. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (10 November 2012); EMBASE (7 June 2011); LILACS (9 June 2011); MEDLINE (10 November 2012); CINAHL (13 August 2012); and the British Nursing Index (13 August 2012). SELECTION CRITERIA: Randomized controlled trials and non-randomized controlled trials; controlled before-and-after studies if pre- and post-intervention periods for study and control groups were the same and there were at least two units included in both the intervention and control groups; uncontrolled and controlled interrupted time series studies if the point in time when the intervention occurred was clearly defined and there were at least three or more data points before and after the intervention. Interventions included payment of special allowances, increasing salaries, bonding health workers, offering bursary schemes, scholarships or lucrative terminal benefits, and hiring people on contract basis. DATA COLLECTION AND ANALYSIS: Two review authors independently applied the criteria for inclusion and exclusion of studies to the titles and abstracts of all articles obtained from the search. The same two review authors independently screened the full reports of the selected citations. At each stage, we compared the results and resolved discrepancies through discussion with a third review author. MAIN RESULTS: We found no studies that were eligible for inclusion in this review. AUTHORS' CONCLUSIONS: We identified no rigorous studies on the effects of interventions to manage the movement of health workers between public and private organizations in low- and middle-income countries. Health worker availability is a key obstacle in delivery of health services. Interventions to make the health sector more responsive to the expectations of populations by having more health workers in the sector that serves most people would contribute to the more efficient use of the health workforce. More research is needed to assess the effect of increase in salaries, offering scholarships or bonding on movement of health workers in one sector compared with another.

A nationwide mobile phone survey for tobacco use in Tanzania: Sample quality and representativeness compared to a household survey.

We investigated the feasibility of an interactive voice response (IVR) survey in Tanzania and compared its prevalence estimates for tobacco use to the estimates of the 'Global Adult Tobacco Survey (GATS) 2018'. IVR participants were enrolled by random digit dialing. Quota sampling was employed to achieve the required sample sizes of age-sex strata: sex (male/female) and age (18-29-, 30-44-, 45-59-, and ≥60-year-olds). GATS was a nationally representative survey and used a multistage stratified cluster sampling design. The IVR sample's weights were generated using the inverse proportional weighting (IPW) method with a logit model and the standard age-sex distribution of Tanzania. The IVR and GATS had 2362 and 4555 participants, respectively. Compared to GATS, the unweighted IVR sample had a higher proportion of males (58.7 % vs. 43.2 %), educated people (secondary/above education: 43.3 % vs. 21.1 %), and urban residents (56.5 % vs. 40 %). The weighted prevalence (95 % confidence interval (CI)) of current smoking was 4.99 % (4.11-6.04), 5.22 % (4.36-6.24), and 7.36 % (6.51-8.31) among IVR (IPW), IVR (age-sex standard), and GATS samples, respectively; the weighted prevalence (95 % CI) of smokeless tobacco use was similar: 3.54 % (2.73-4.57), 3.58 % (2.80-4.56), and 2.43 % (1.98-2.98), respectively. Most differences in point estimates for tobacco indicators were small (<2%). Overall, the odds of tobacco smoking indicators were lower in IVR than in GATS; however, the odds of smokeless tobacco use were reversed. Although we found under-/over-estimation of the prevalence of tobacco use in IVR than GATS, the estimates were close. Further research is required to increase the representativeness of IVR.

Geographical, sex, and socioeconomic differences in non-communicable disease indicators: A cross-sectional survey in Eastern Uganda.

The prevalence of non-communicable diseases (NCDs) is increasing in many low- and middle-income countries (LMICs). This study examined differences in the burden of NCDs and their risk factors according to geographic, sex, and sociodemographic characteristics in a rural and peri-urban community in Eastern Uganda. We compared the prevalence by sex, location, wealth, and education. Unadjusted and adjusted prevalence ratios (PR) were reported. Indicators related to tobacco use, alcohol use, salt consumption, fruit/vegetable consumption, physical activity, body weight, and blood pressure were assessed. Among 3220 people (53.3% males, mean age: 35.3 years), the prevalence of NCD burden differed by sex. Men had significantly higher tobacco (e.g., current smoking: 7.6% vs. 0.7%, adjusted PR (APR): 12.8, 95% CI: 7.4-22.3), alcohol use (e.g., current drinker: 11.1% vs. 4.6%, APR: 13.4, 95% CI: 7.9-22.7), and eat processed food high in salt (13.4% vs. 7.1, APR: 1.8, 95% CI: 1.8, 95% CI: 1.4-2.4) than women; however, the prevalence of overweight (23.1% vs 30.7%, APR: 0.7, 95% CI: 0.6-0.9) and obesity (4.1% vs 14.7%, APR: 0.3, 95% CI: 0.2-0.3) was lower among men than women. Comparing locations, peri-urban residents had a higher prevalence of current alcohol drinking, heavy episodic drinking, always/often adding salt while cooking, always eating processed foods high in salt, poor physical activity, obesity, prehypertension, and hypertension than rural residents (p<0.5). When comparing respondents by wealth and education, we found people who have higher wealth or education had a higher prevalence of always/often adding salt while cooking, poor physical activity, and obesity. Although the findings were inconsistent, we observed significant sociodemographic and socioeconomic differences in the burden of many NCDs, including differences in the distributions of behavioral risk factors. Considering the high burden of many risk factors, we recommend appropriate prevention programs and policies to reduce these risk factors' burden and future negative consequences.

The epidemiology of behavioral risk factors for noncommunicable disease and hypertension: A cross-sectional study from Eastern Uganda.

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.