Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research.

BACKGROUND: The ethical governance of Artificial Intelligence (AI) in health care and public health continues to be an urgent issue for attention in policy, research, and practice. In this paper we report on central themes related to challenges and strategies for promoting ethics in research involving AI in global health, arising from the Global Forum on Bioethics in Research (GFBR), held in Cape Town, South Africa in November 2022. METHODS: The GFBR is an annual meeting organized by the World Health Organization and supported by the Wellcome Trust, the US National Institutes of Health, the UK Medical Research Council (MRC) and the South African MRC. The forum aims to bring together ethicists, researchers, policymakers, research ethics committee members and other actors to engage with challenges and opportunities specifically related to research ethics. In 2022 the focus of the GFBR was "Ethics of AI in Global Health Research". The forum consisted of 6 case study presentations, 16 governance presentations, and a series of small group and large group discussions. A total of 87 participants attended the forum from 31 countries around the world, representing disciplines of bioethics, AI, health policy, health professional practice, research funding, and bioinformatics. In this paper, we highlight central insights arising from GFBR 2022. RESULTS: We describe the significance of four thematic insights arising from the forum: (1) Appropriateness of building AI, (2) Transferability of AI systems, (3) Accountability for AI decision-making and outcomes, and (4) Individual consent. We then describe eight recommendations for governance leaders to enhance the ethical governance of AI in global health research, addressing issues such as AI impact assessments, environmental values, and fair partnerships. CONCLUSIONS: The 2022 Global Forum on Bioethics in Research illustrated several innovations in ethical governance of AI for global health research, as well as several areas in need of urgent attention internationally. This summary is intended to inform international and domestic efforts to strengthen research ethics and support the evolution of governance leadership to meet the demands of AI in global health research.

Digital tools for youth health promotion: principles, policies and practices in sub-Saharan Africa.

Although digital health promotion (DHP) technologies for young people are increasingly available in low- and middle-income countries (LMICs), there has been insufficient research investigating whether existing ethical and policy frameworks are adequate to address the challenges and promote the technological opportunities in these settings. In an effort to fill this gap and as part of a larger research project, in November 2022, we conducted a workshop in Cape Town, South Africa, entitled 'Unlocking the Potential of Digital Health Promotion for Young People in Low- and Middle-Income Countries'. The workshop brought together 25 experts from the areas of digital health ethics, youth health and engagement, health policy and promotion and technology development, predominantly from sub-Saharan Africa (SSA), to explore their views on the ethics and governance and potential policy pathways of DHP for young people in LMICs. Using the World Café method, participants contributed their views on (i) the advantages and barriers associated with DHP for youth in LMICs, (ii) the availability and relevance of ethical and regulatory frameworks for DHP and (iii) the translation of ethical principles into policies and implementation practices required by these policies, within the context of SSA. Our thematic analysis of the ensuing discussion revealed a willingness to foster such technologies if they prove safe, do not exacerbate inequalities, put youth at the center and are subject to appropriate oversight. In addition, our work has led to the potential translation of fundamental ethical principles into the form of a policy roadmap for ethically aligned DHP for youth in SSA.

Exploring HIV/AIDS investigator perceptions of equity within research partnerships between low-and middle-income and high-income countries: a pilot survey.

BACKGROUND: Recommendations for research partnerships between low- and middle-income countries (LMICs) and high-income countries (HICs) stress the importance of equity within the collaboration. However, there is limited knowledge of the practical challenges and successes involved in establishing equitable research practices. This study describes the results of a pilot survey assessing key issues on LMIC/HIC partnership equity within HIV/AIDS research collaborations and compares perspectives of these issues between LMIC- and HIC-based investigators. METHODS: Survey participants were selected using clustered, random sampling and snowball sampling. Responses were compared between LMIC and HIC respondents using standard descriptive statistics. Qualitative respondent feedback was analyzed using a combination of exploratory and confirmatory thematic analysis. RESULTS: The majority of categories within four themes (research interests and resources; leadership, trust, and communication; cultural and ethical competence; representation and benefits) demonstrated relative consensus between LMIC and HIC respondents except for 'lack of trust within the partnership' which was rated as a more pronounced challenge by LMIC respondents. However, subcategories within some of the themes had significant differences between respondent groups including: equitable setting of the research agenda, compromise within a partnership, the role of regulatory bodies in monitoring partnerships for equity, and post-study access to research technology. CONCLUSIONS: These efforts serve as a proof-of-concept survey characterizing contemporary issues around international research partnership equity. The frequency and severity of specific equity issues can be assessed, highlighting similarities versus differences in experiences between LMIC and HIC partners as potential targets for further discussion and evaluation.

Defining Malaysia's health research ethics system through a stakeholder driven approach.

The need to understand the systems that support ethical health research has long been recognized, but there are limited descriptions of actual health research ethics (HRE) systems. Using participatory network mapping methods, we empirically defined Malaysia's HRE system. 13 Malaysian stakeholders identified 4 overarching and 25 specific HRE system functions and 35 actors internal and 3 external to the Malaysian HRE system responsible for those functions. Functions requiring the most attention were: advising on legislation related to HRE; optimizing research value to society; and defining standards for HRE oversight. Internal actors with the greatest potential for more influence were: the national network of research ethics committees; non-institution-based research ethics committees; and research participants. The World Health Organization, an external actor, had the largest untapped potential for influence overall. In summary, this stakeholder-driven process identified HRE system functions and actors that could be targeted to increase HRE system capacity.

Emerging Experiences with Virtual Clinical Ethics Consultation: Case Studies from the United States and Malaysia.

AbstractThe COVID-19 pandemic has inspired numerous opportunities for telehealth implementation to meet diverse healthcare needs, including the use of virtual communication platforms to facilitate the growth of and access to clinical ethics consultation (CEC) services across the globe. Here we discuss the conceptualization and implementation of two different virtual CEC services that arose during the COVID-19 pandemic: the Clinical Ethics Malaysia COVID-19 Consultation Service and the Johns Hopkins Hospital Ethics Committee and Consultation Service. A common strength experienced by both platforms during virtual delivery included improved ability for local practitioners to address consultation needs for patient populations otherwise unable to access CEC services in their respective locations. Additionally, virtual platforms allowed for enhanced collaboration and sharing of expertise among ethics consultants. Both contexts encountered numerous challenges related to patient care delivery during the pandemic. The use of virtual technologies resulted in decreased personalization of patient-provider communication. We discuss these challenges with respect to contextual differences specific to each service and setting, including differences in CEC needs, sociocultural norms, resource availability, populations served, consultation service visibility, healthcare infrastructure, and funding disparities. Through lessons learned from a health system in the United States and a national service in Malaysia, we provide key recommendations for health practitioners and clinical ethics consultants to leverage virtual communication platforms to mitigate existing inequities in patient care delivery and increase capacity for CEC globally.

Developing a competency framework for health research ethics education and training.

Health research ethics (HRE) training programmes are being developed and implemented globally, often with a goal of increasing local capacity to assure ethical conduct in health-related research. Yet what it means for there to be sufficient HRE capacity is not well-defined, and there is currently no consensus on outcomes that HRE training programmes should collectively intend to achieve. Without defining the expected outcomes, meaningful evaluation of individual participants and programmes is challenging. In this article, we briefly describe the evolution of formal education in HRE, articulate the need for a framework to define outcomes for HRE training programmes, and provide guidance for developing HRE competency frameworks that define outcomes suited to their contexts. We detail critical questions for developing HRE competency frameworks using a six-step process: (1) define the purposes, intended uses and scope of the framework; (2) describe the context in which practice occurs; (3) gather data using a variety of methods to inform the competency framework; (4) translate the data into competencies that can be used in educational programmes; (5) report on the competency development process and results and (6) evaluate and update the competency framework. We suggest that competency frameworks should be feasible to develop using this process, and such efforts promise to contribute to programmatic advancement.

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.

Randomized comparison of two interventions to enhance understanding during the informed consent process for research.

BACKGROUND/AIMS: Many investigators have tested interventions to improve research participant understanding of information shared during the informed consent process, using a variety of methods and with mixed results. A valid criticism of most consent research is that studies are often conducted in simulated research settings rather than ongoing clinical studies. The present study rigorously tested two simple and easily adoptable strategies for presenting key consent information to participants eligible to enroll in six actual clinical trials (i.e. six parent studies). METHODS: In collaboration with the study team from each parent study, we developed two consent interventions: a fact sheet and an interview-style video. The content of each of the intervention was based on the information shared in the consent form approved for each parent study. Participants were randomized to the standard consent process, or to one of the two interventions. Once exposed to the assigned consent mode, participants were asked to complete an assessment of understanding. The study was powered to determine whether those exposed to the fact sheet or video performed better on the consent assessment compared to those exposed to the standard consent. We also assessed participant satisfaction with the consent process. RESULTS: A total of 284 participants were randomized to one of the three consent arms. Assessments of understanding were completed with a total of 273 participants from July 2017 to April 2019. Participants exposed to the video had better understanding scores compared to those exposed to the standard consent form process (p value = 0.020). Participants were more satisfied with the video when compared to the standard consent. Participants who received the fact sheet did not achieve higher overall understanding or satisfaction scores when compared to the standard consent process. CONCLUSION: This randomized study of two novel consent interventions across six different clinical trials demonstrated a statistically significant difference in participant understanding based on overall scores among those exposed to the video intervention compared to those exposed to the standard consent.

Perspectives and ethical considerations for return of genetics and genomics research results: a qualitative study of genomics researchers in Uganda.

BACKGROUND: The return of genetics and genomics research results has been a subject of ongoing global debate. Such feedback is ethically desirable to update participants on research findings particularly those deemed clinically significant. Although there is limited literature, debate continues in African on what constitutes appropriate practice regarding the return of results for genetics and genomics research. This study explored perspectives and ethical considerations of Ugandan genomics researchers regarding the return of genetics and genomics research results. METHODS: This was a qualitative study that employed in-depth interviews. Thirty participants were purposively selected based on their expertise as genomics researchers in Uganda. Data were analysed through content analysis along the main themes of the study using a comprehensive thematic matrix, to identify common patterns arising from the narratives. NVivo software 12 was used to support data analysis. RESULTS: The return of genetics and genomics research results was generally acceptable to researchers, and some indicated that they had previously returned individual or aggregate results to participants and communities. The main reasons cited for sharing research results with participants included their clinical utility, actionability and overall benefit to society. Ethical considerations for appropriate return of results included a need for effective community engagement, genetic counselling prior to disclosure of the results, adequate informed consent, and proper assessment of the implications of, or consequences of returning of results. However, the approaches to return of results were perceived as unstandardized due to the lack of appropriate regulatory frameworks. CONCLUSIONS: The return of genetic and genomic research results is generally acceptable to researchers despite the lack of appropriate regulatory frameworks. Ethical considerations for return of genetics and genomics research results are highly divergent, hence the need for national ethical guidelines to appropriately regulate the practice.

A scoping review of genetics and genomics research ethics policies and guidelines for Africa.

BACKGROUND: Genetics and genomics research (GGR) is increasingly being conducted around the world; yet, researchers and research oversight entities in many countries have struggled with ethical challenges. A range of ethics and regulatory issues need to be addressed through comprehensive policy frameworks that integrate with local environments. While important efforts have been made to enhance understanding and awareness of ethical dimensions of GGR in Africa, including through the H3Africa initiative, there remains a need for in-depth policy review, at a country-level, to inform and stimulate local policy development and revision on the continent. METHODS: To identify and characterize existing ethics-related guidelines and laws applicable to GGR across much of Africa, we conducted a scoping review of English language policy documents identified through databases, repositories, and web searches. Thirty-six documents were included and coded using a framework that contained a range of themes across five analytical categories: (1) respect, (2) beneficence, (3) justice, (4) independent oversight, and (5) bans and prohibitions. Data analysis software (NVivo 12) was used to organize, code, and tabulate information according to document characteristics and topics. Illustrative examples of policy requirements were selected for inclusion. RESULTS: Documents that met inclusion criteria spanned 20 years; published between 1996 and 2018, with the majority (58%) published after 2009. About two-thirds were denoted as "guidelines," and slightly more than half were non-exclusive to GGR. Very few (six) country-level documents identified were specific to GGR. Requirements related to the principle of "respect" appeared most often across all documents, relative to other principles and processes. The most commonly stated ban was on reproductive cloning. Other prohibitions applied to germline editing, undue inducements in research, sample use for commercial purposes, employee mandatory DNA testing, fetal sex selection, stem cell use, eugenics, and research without public health benefits. CONCLUSIONS: Enforceable policies that are indispensable to the ethical conduct and review of GGR are either deficient or missing in many African countries. Existing international, GGR-specific ethics guidelines can be used to inform GGR policy development at a country-level, in conjunction with insight from country specific ethics committees and other local stakeholders.

Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance.

Technological advances in big data (large amounts of highly varied data from many different sources that may be processed rapidly), data sciences and artificial intelligence can improve health-system functions and promote personalized care and public good. However, these technologies will not replace the fundamental components of the health system, such as ethical leadership and governance, or avoid the need for a robust ethical and regulatory environment. In this paper, we discuss what a robust ethical and regulatory environment might look like for big data analytics in health insurance, and describe examples of safeguards and participatory mechanisms that should be established. First, a clear and effective data governance framework is critical. Legal standards need to be enacted and insurers should be encouraged and given incentives to adopt a human-centred approach in the design and use of big data analytics and artificial intelligence. Second, a clear and accountable process is necessary to explain what information can be used and how it can be used. Third, people whose data may be used should be empowered through their active involvement in determining how their personal data may be managed and governed. Fourth, insurers and governance bodies, including regulators and policy-makers, need to work together to ensure that the big data analytics based on artificial intelligence that are developed are transparent and accurate. Unless an enabling ethical environment is in place, the use of such analytics will likely contribute to the proliferation of unconnected data systems, worsen existing inequalities, and erode trustworthiness and trust.

Les progrès technologiques en matière de big data (un terme qui désigne de grandes quantités de données extrêmement variées, provenant de différentes sources et pouvant être traitées rapidement), de sciences de l'information et d'intelligence artificielle peuvent améliorer le fonctionnement du système de santé, mais aussi promouvoir des soins personnalisés et servir l'intérêt public. Néanmoins, ces technologies ne permettront pas de remplacer les composantes fondamentales du système de santé, comme le leadership éthique et la bonne gouvernance, ni d'éviter la nécessité de créer un environnement déontologique et réglementaire solide. Le présent document se penche sur la définition de cet environnement déontologique et réglementaire solide pour l'analyse des big data dans le domaine de l'assurance maladie, et fournit à titre d'exemple les mécanismes de protection et de participation qu'il convient d'instaurer. En premier lieu, imposer un cadre de gouvernance précis et efficace est essentiel au traitement des données. Des normes juridiques doivent être promulguées, tandis que les assureurs doivent être encouragés et incités à adopter une approche centrée sur l'humain, tant dans leur conception que dans leur utilisation de l'analyse des big data et de l'intelligence artificielle. Deuxièmement, il faut mettre en place un processus clair et responsable afin d'expliquer quels types d'informations sont susceptibles d'être employés et à quelles fins. Troisièmement, les personnes concernées doivent avoir la possibilité de déterminer de quelle manière leurs données personnelles sont gérées et régies, en étant activement impliquées dans ce processus. Et quatrièmement, les assureurs et les organes de gouvernance, dont les régulateurs et législateurs, doivent collaborer pour faire en sorte que l'analyse des big data basée sur l'intelligence artificielle soit correcte et transparente. À moins d'établir un environnement éthique, l'usage d'une telle analyse entraînera probablement la prolifération de systèmes de données non connectés, l'aggravation des inégalités actuelles ainsi qu'une perte de confiance et de fiabilité.

Los avances tecnológicos relativos a los macrodatos (es decir, grandes cantidades de datos muy variados de muchas fuentes diversas que pueden procesarse rápidamente), las ciencias de los datos y la inteligencia artificial pueden mejorar las funciones del sistema sanitario y promover la atención personalizada y el bien público. No obstante, estas tecnologías no sustituirán los componentes fundamentales del sistema sanitario, como el liderazgo ético y la gobernanza, ni evitarán la necesidad de un entorno ético y normativo sólido. En el presente documento se examina cómo podría ser un entorno ético y normativo sólido para el análisis de macrodatos en el ámbito de los seguros médicos, y se describen ejemplos de mecanismos de protección y participación que deberían establecerse. En primer lugar, es fundamental contar con un marco claro y eficaz de gestión de datos. Es necesario promulgar normas jurídicas y alentar e incentivar a las aseguradoras para que adopten un enfoque centrado en el ser humano en el diseño y la aplicación de análisis de macrodatos e inteligencia artificial. En segundo lugar, es necesario un proceso claro y responsable para explicar cómo y qué información se puede utilizar. En tercer lugar, se debe facultar a las personas cuyos datos puedan ser utilizados mediante su participación activa en la determinación de cómo se pueden gestionar y regular sus datos personales. En cuarto lugar, las aseguradoras y los órganos de gobierno, incluidos los reguladores y los responsables de formular políticas, deben colaborar para garantizar que los análisis de macrodatos basados en la inteligencia artificial que se elaboren sean transparentes y precisos. A menos que exista un entorno ético adecuado, el uso de esos análisis probablemente contribuirá a la proliferación de sistemas de datos sin conexión, empeorará las desigualdades existentes y reducirá la fiabilidad y la confianza.

Ethics challenges and guidance related to research involving adolescent post-abortion care: a scoping review.

INTRODUCTION: An increase in post abortion care (PAC) research with adolescents, particularly in low- and middle-income countries, has brought to attention several associated research ethics challenges. In order to better understand the ethics context of PAC research with adolescents, we conducted a scoping review of published literature. METHODS: Following a systematic search of PubMed, HINARI, and Google Scholar, we analysed articles meeting inclusion criteria to determine common themes across both the ethical challenges related to PAC research with adolescents and any available guidance on the identified challenges. RESULTS: The literature search identified an initial 3321 records of which 14 were included in analysis following screening. Several ethical challenges stem from abortion being a controversial, sensitive, and stigmatized topic in many settings. Ethical dilemmas experienced by researchers conducting adolescent PAC research included: difficulties in convincing local health providers to permit PAC research; challenges in recruiting and seeking consent due to sensitivity of the subject; effectively protecting confidentiality; managing negative effects of interventions; creating a non-prejudicial atmosphere for research; managing emotional issues among adolescents; and dealing with uncertainty regarding the role of researchers when observing unethical health care practices. Suggested strategies for addressing some of these challenges include: using several sources to recruit study participants, using research to facilitate dialogue on abortion, briefing health workers on any observed unethical practices after data collection, fostering a comprehensive understanding of contextual norms and values, selecting staff with experience working with study populations, and avoiding collection of personal identifiers. CONCLUSION: Addressing ethical challenges that researchers face when conducting PAC research with adolescents requires guidance at the individual, institutional, community, and international levels. Overall, despite the documentation of challenges in the published literature, guidance on handling several of these ethics challenges is sparse. We encourage further research to clarify the identified challenges and support the development of formal guidance in this area.

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.

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.

Harms, benefits, and the nature of interventions in pragmatic clinical trials.

To produce evidence capable of informing healthcare decision making at all critical levels, pragmatic clinical trials are diverse both in terms of the type of intervention (medical, behavioral, and/or technological) and the target of intervention (patients, clinicians, and/or healthcare system processes). Patients and clinicians may be called on to participate as designers, investigators, intermediaries, or subjects of pragmatic clinical trials. Other members of the healthcare team, as well as the healthcare system itself, also may be affected directly or indirectly before, during, or after study implementation. This diversity in the types and targets of pragmatic clinical trial interventions has brought into focus the need to consider whether existing ethics and regulatory principles, policies, and procedures are appropriate for pragmatic clinical trials. Specifically, further examination is needed to identify how the types and targets of pragmatic clinical trial interventions may influence the assessment of net potential risk, understood as the balance of potential harms and benefits. In this article, we build on scholarship seeking to align ethics and regulatory requirements with potential research risks and propose an approach to the assessment of net risks that is sensitive to the diverse nature of pragmatic clinical trial interventions. We clarify the potential harms, burdens, benefits, and advantages of common types of pragmatic clinical trial interventions and discuss implications for patients, clinicians, and healthcare systems.

A pilot study of simple interventions to improve informed consent in clinical research: feasibility, approach, and results.

BACKGROUND: Research suggests that participants do not always adequately understand studies. While some consent interventions increase understanding, methodologic challenges have been raised in studying consent outside of actual trial settings. This study examined the feasibility of testing two consent interventions in actual studies and measured effectiveness of interventions in improving understanding. METHODS: Participants enrolling in any of eight ongoing clinical trials were sequentially assigned to one of three different informed consent strategies for enrollment in their clinical trial. Control participants received standard consent procedures for their trial. Participants in the first intervention arm received a bulleted fact sheet summarizing key study information. Participants in the second intervention arm received the bulleted fact sheet and also engaged in a feedback Q&A session. Later, patients answered closed- and open-ended questions to assess patient understanding and literacy. Descriptive statistics, Wilcoxon -Mann -Whitney and Kruskal-Wallis tests were generated to assess correlations; regression analysis determined predictors of understanding. RESULTS: 144 participants enrolled. Using regression analysis, participants receiving the second intervention scored 7.6 percentage points higher (p = .02) on open-ended questions about understanding than participants in the control, although unadjusted comparisons did not reach statistical significance. CONCLUSIONS: Our study supports the hypothesis that patients receiving both bulleted fact sheets and a Q&A session had higher understanding compared to standard consent. Fact sheets and short structured dialog are quick to administer and easy to replicate across studies and should be tested in larger samples.

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.