Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review.

BACKGROUND: Artificial intelligence (AI) has emerged as a transformative force across the health sector and has garnered significant attention within sexual and reproductive health and rights (SRHR) due to polarizing views on its opportunities to advance care and the heightened risks and implications it brings to people's well-being and bodily autonomy. As the fields of AI and SRHR evolve, clarity is needed to bridge our understanding of how AI is being used within this historically politicized health area and raise visibility on the critical issues that can facilitate its responsible and meaningful use. OBJECTIVE: This paper presents the protocol for a scoping review to synthesize empirical studies that focus on the intersection of AI and SRHR. The review aims to identify the characteristics of AI systems and tools applied within SRHR, regarding health domains, intended purpose, target users, AI data life cycle, and evidence on benefits and harms. METHODS: The scoping review follows the standard methodology developed by Arksey and O'Malley. We will search the following electronic databases: MEDLINE (PubMed), Scopus, Web of Science, and CINAHL. Inclusion criteria comprise the use of AI systems and tools in sexual and reproductive health and clear methodology describing either quantitative or qualitative approaches, including program descriptions. Studies will be excluded if they focus entirely on digital interventions that do not explicitly use AI systems and tools, are about robotics or nonhuman subjects, or are commentaries. We will not exclude articles based on geographic location, language, or publication date. The study will present the uses of AI across sexual and reproductive health domains, the intended purpose of the AI system and tools, and maturity within the AI life cycle. Outcome measures will be reported on the effect, accuracy, acceptability, resource use, and feasibility of studies that have deployed and evaluated AI systems and tools. Ethical and legal considerations, as well as findings from qualitative studies, will be synthesized through a narrative thematic analysis. We will use the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) format for the publication of the findings. RESULTS: The database searches resulted in 12,793 records when the searches were conducted in October 2023. Screening is underway, and the analysis is expected to be completed by July 2024. CONCLUSIONS: The findings will provide key insights on usage patterns and evidence on the use of AI in SRHR, as well as convey key ethical, safety, and legal considerations. The outcomes of this scoping review are contributing to a technical brief developed by the World Health Organization and will guide future research and practice in this highly charged area of work. TRIAL REGISTRATION: OSF Registries osf.io/ma4d9; https://osf.io/ma4d9. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/53888.

From Assessment to Action: Exploring the Dynamics Between Maturity Assessments and Strategy Implementation in Digital Health.

A country's digital health maturity is a key factor in the digital transformation of a national health system. Although many maturity assessment models exist in the literature, they perform as stand-alone tools without a clear indication to inform a country's strategy implementation in digital health. This study explores the dynamics between maturity assessments and strategy implementation in digital health. First, it analyses the word token distribution of key concepts in indicators from five pre-existing digital health maturity assessment models and those originated from the WHO's Global Strategy on Digital Health. Second, it compares type and token distributions in the selected topics mapped against the policy actions under the GSDH. The findings reveal existing maturity models with a significantly heavier focus on health information systems and highlight gaps in measuring and contextualising topics e.g., equity, inclusion, and digital frontiers.

Secondary data for global health digitalisation.

Substantial opportunities for global health intelligence and research arise from the combined and optimised use of secondary data within data ecosystems. Secondary data are information being used for purposes other than those intended when they were collected. These data can be gathered from sources on the verge of widespread use such as the internet, wearables, mobile phone apps, electronic health records, or genome sequencing. To utilise their full potential, we offer guidance by outlining available sources and approaches for the processing of secondary data. Furthermore, in addition to indicators for the regulatory and ethical evaluation of strategies for the best use of secondary data, we also propose criteria for assessing reusability. This overview supports more precise and effective policy decision making leading to earlier detection and better prevention of emerging health threats than is currently the case.

Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies.

Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic review aimed to synthesise the literature on the acceptability and effectiveness of AI-enhanced interventions for older people receiving LTC services. We conducted a systematic search that identified 2720 records from Embase, Ovid, Global Health, PsycINFO, and Web of Science. 31 articles were included in the review that evaluated AI-enhanced social robots (n=22), environmental sensors (n=6), and wearable sensors (n=5) with older people receiving LTC services across 15 controlled and 14 non-controlled trials in high-income countries. Risk of bias was evaluated using the RoB 2, RoB 2 CRT, and ROBINS-I tools. Overall, AI-enhanced interventions were found to be somewhat acceptable to users with mixed evidence for their effectiveness across different health outcomes. The included studies were found to have high risk of bias which reduced confidence in the results. AI-enhanced interventions are promising innovations that could reshape the landscape of LTC globally. However, more trials are required to support their widespread implementation. Pathways are needed to support more high-quality trials, including in low-income and middle-income countries.

Machine Learning for Health: Algorithm Auditing & Quality Control.

Developers proposing new machine learning for health (ML4H) tools often pledge to match or even surpass the performance of existing tools, yet the reality is usually more complicated. Reliable deployment of ML4H to the real world is challenging as examples from diabetic retinopathy or Covid-19 screening show. We envision an integrated framework of algorithm auditing and quality control that provides a path towards the effective and reliable application of ML systems in healthcare. In this editorial, we give a summary of ongoing work towards that vision and announce a call for participation to the special issue  Machine Learning for Health: Algorithm Auditing & Quality Control in this journal to advance the practice of ML4H auditing.

Methodology of the Global Adult Tobacco Survey - 2008-2010.

In 2008, the Centers for Disease Control and Prevention (CDC) and the World Health Organization developed the Global Adult Tobacco Survey (GATS), an instrument to monitor global tobacco use and measure indicators of tobacco control. GATS, a nationally representative household survey of persons aged 15 years or older, was conducted for the first time during 2008-2010 in 14 low- and middle-income countries. In each country, GATS used a standard core questionnaire, sample design, and procedures for data collection and management and, as needed, added country-specific questions that were reviewed and approved by international experts. The core questionnaire included questions about various characteristics of the respondents, their tobacco use (smoking and smokeless), and a wide range of tobacco-related topics (cessation; secondhand smoke; economics; media; and knowledge, attitudes, and perceptions). In each country, a multistage cluster sample design was used, with households selected proportionate to the size of the population. Households were chosen randomly within a primary or secondary sampling unit, and one respondent was selected at random from each household to participate in the survey. Interviewers administered the survey in the country's local language(s) using handheld electronic data collection devices. Interviews were conducted privately, and same-sex interviewers were used in countries where mixed-sex interviews would be culturally inappropriate. All 14 countries completed the survey during 2008-2010. In each country, the ministry of health was the lead coordinating agency for GATS, and the survey was implemented by national statistical organizations or surveillance institutes. This article describes the background and rationale for GATS and includes a comprehensive description of the survey methods and protocol.

The environmental and health impacts of tobacco agriculture, cigarette manufacture and consumption.

The health consequences of tobacco use are well known, but less recognized are the significant environmental impacts of tobacco production and use. The environmental impacts of tobacco include tobacco growing and curing; product manufacturing and distribution; product consumption; and post-consumption waste. The World Health Organization's Framework Convention on Tobacco Control addresses environmental concerns in Articles 17 and 18, which primarily apply to tobacco agriculture. Article 5.3 calls for protection from policy interference by the tobacco industry regarding the environmental harms of tobacco production and use. We detail the environmental impacts of the tobacco life-cycle and suggest policy responses.

Les conséquences du tabagisme sur la santé sont notoires. En revanche, les impacts environnementaux considérables de la production et de la consommation de tabac sont moins connus. Ces impacts environnementaux sont liés à la culture et au séchage du tabac, à la fabrication des produits du tabac et à leur distribution, au tabagisme et aux déchets générés après consommation. La Convention-cadre de l'OMS pour la lutte antitabac évoque ces problèmes environnementaux dans ses Articles 17 et 18, qui s'appliquent avant tout à la culture du tabac. L'Article 5.3 préconise de ne pas laisser l'industrie du tabac influencer les mesures politiques en ce qui concerne les effets négatifs de la production et de la consommation du tabac sur l'environnement. Nous détaillons dans ce dossier les impacts environnementaux sur tout le cycle de vie du tabac et formulons plusieurs suggestions en termes de réponse politique.

Las consecuencias sanitarias del consumo de tabaco son bien conocidas, pero no tanto los significativos efectos que el cultivo y consumo de tabaco tienen en el medio ambiente. Los efectos medioambientales del tabaco incluyen el crecimiento y la cura del tabaco, la producción y distribución del producto, el consumo del producto y los residuos resultantes de su consumo. El Convenio Marco de la OMS para el Control del Tabaco aborda las preocupaciones medioambientales en los Artículos 17 y 18, los cuales se aplican principalmente en el cultivo del tabaco. El Artículo 5.3 exige medidas cautelares respecto a las políticas de interferencia de la industria del tabaco en lo que se refiere a los daños medioambientales del cultivo y el consumo de tabaco. Se enumeran los efectos medioambientales del ciclo de vida del tabaco y se sugieren respuestas políticas.

Methodology of Global Adult Tobacco Survey (GATS), Malaysia, 2011.

INTRODUCTION: Malaysia participated in the second phase of the Global Adult Tobacco Survey (GATS) in 2011. GATS, a new component of the Global Tobacco Surveillance System, is a nationally representative household survey of adults 15 years old or above. The objectives of GATS Malaysia were to (i) systematically monitor tobacco use among adults and track key indicators of tobacco control and (ii) track the implementation of some of the Framework Convention of Tobacco Control (FCTC)-recommended demand related policies. METHODS: GATS Malaysia 2011 was a nationwide cross-sectional survey using multistage stratified sampling to select 5112 nationally representative households. One individual aged 15 years or older was randomly chosen from each selected household and interviewed using handheld device. GATS Core Questionnaire with optional questions was pre-tested and uploaded into handheld devices after repeated quality control processes. Data collectors were trained through a centralized training. Manuals and picture book were prepared to aid in the training of data collectors and during data collection. Field-level data were aggregated on a daily basis and analysed twice a week. Quality controls were instituted to ensure collection of high quality data. Sample weighting and analysis were conducted with the assistance of researchers from the Centers for Disease Control and Prevention, Atlanta, USA. RESULTS: GATS Malaysia received a total response rate of 85.3% from 5112 adults surveyed. Majority of the respondents were 25-44 years old and Malays. CONCLUSIONS: The robust methodology used in the GATS Malaysia provides national estimates for tobacco used classified by socio-demographic characteristics and reliable data on various dimensions of tobacco control.

Electronic data collection and management system for global adult tobacco survey.

INTRODUCTION: Portable handheld computers and electronic data management systems have been used for national surveys in many high-income countries, however their use in developing countries has been challenging due to varying geographical, economic, climatic, political and cultural environments. In order to monitor and measure global adult tobacco use, the World Health Organization and the US Centers for Disease Control and Prevention initiated the Global Adult Tobacco Survey, a nationally representative household survey of adults, 15 years of age or older, using a standard core questionnaire, sample design, and data collection and management procedures. The Survey has been conducted in 14 low- and middle-income countries, using an electronic data collection and management system. This paper describes implementation of the electronic data collection system and associated findings. METHODS: The Survey was based on a comprehensive data management protocol, to enable standardized, globally comparable high quality data collection and management. It included adaptation to specific country needs, selection of appropriate handheld hardware devices, use of open source software, and building country capacity and provide technical support. RESULTS: In its first phase, the Global Adult Tobacco Survey was successfully conducted between 2008 and 2010, using an electronic data collection and management system for interviews in 302,800 households in 14 countries. More than 2,644 handheld computers were fielded and over 2,634 fieldworkers, supervisors and monitors were trained to use them. Questionnaires were developed and programmed in 38 languages and scripts. The global hardware failure rate was < 1% and data loss was almost 0%. CONCLUSION: Electronic data collection and management systems can be used effectively for conducting nationally representative surveys, particularly in low- and middle-income countries, irrespective of geographical, climatic, political and cultural environments, and capacity-building at the country level is an important vehicle for Health System Strengthening.