Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study.

BACKGROUND: Metadata describe and provide context for other data, playing a pivotal role in enabling findability, accessibility, interoperability, and reusability (FAIR) data principles. By providing comprehensive and machine-readable descriptions of digital resources, metadata empower both machines and human users to seamlessly discover, access, integrate, and reuse data or content across diverse platforms and applications. However, the limited accessibility and machine-interpretability of existing metadata for population health data hinder effective data discovery and reuse. OBJECTIVE: To address these challenges, we propose a comprehensive framework using standardized formats, vocabularies, and protocols to render population health data machine-readable, significantly enhancing their FAIRness and enabling seamless discovery, access, and integration across diverse platforms and research applications. METHODS: The framework implements a 3-stage approach. The first stage is Data Documentation Initiative (DDI) integration, which involves leveraging the DDI Codebook metadata and documentation of detailed information for data and associated assets, while ensuring transparency and comprehensiveness. The second stage is Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) standardization. In this stage, the data are harmonized and standardized into the OMOP CDM, facilitating unified analysis across heterogeneous data sets. The third stage involves the integration of Schema.org and JavaScript Object Notation for Linked Data (JSON-LD), in which machine-readable metadata are generated using Schema.org entities and embedded within the data using JSON-LD, boosting discoverability and comprehension for both machines and human users. We demonstrated the implementation of these 3 stages using the Integrated Disease Surveillance and Response (IDSR) data from Malawi and Kenya. RESULTS: The implementation of our framework significantly enhanced the FAIRness of population health data, resulting in improved discoverability through seamless integration with platforms such as Google Dataset Search. The adoption of standardized formats and protocols streamlined data accessibility and integration across various research environments, fostering collaboration and knowledge sharing. Additionally, the use of machine-interpretable metadata empowered researchers to efficiently reuse data for targeted analyses and insights, thereby maximizing the overall value of population health resources. The JSON-LD codes are accessible via a GitHub repository and the HTML code integrated with JSON-LD is available on the Implementation Network for Sharing Population Information from Research Entities website. CONCLUSIONS: The adoption of machine-readable metadata standards is essential for ensuring the FAIRness of population health data. By embracing these standards, organizations can enhance diverse resource visibility, accessibility, and utility, leading to a broader impact, particularly in low- and middle-income countries. Machine-readable metadata can accelerate research, improve health care decision-making, and ultimately promote better health outcomes for populations worldwide.

Insights into COVID-19 data collection and management in Malawi: exploring processes, perceptions, and data discrepancies.

Background: The completion of case-based surveillance forms was vital for case identification during COVID-19 surveillance in Malawi. Despite significant efforts, the resulting national data suffered from gaps and inconsistencies which affected its optimal usability. The objectives of this study were to investigate the processes of collecting and reporting COVID-19 data, to explore health workers' perceptions and understanding of the collection tools and processes, and to identify factors contributing to data quality. Methods: A total of 75 healthcare professionals directly involved in COVID-19 data collection from the Malawi Ministry of Health in Lilongwe and Blantyre participated in Focus Group Discussions and In-Depth Interviews. We collected participants' views on the effectiveness of surveillance forms in collecting the intended data, as well as on the data collection processes and training needs. We used MAXQDA for thematic and document analysis. Results: Form design significantly influenced data quality and, together with challenges in applying case definitions, formed 44% of all issues raised. Concerns regarding processes used in data collection and training gaps comprised 49% of all the issues raised. Language issues (2%) and privacy, ethical, and cultural considerations (4%), although mentioned less frequently, offered compelling evidence for further review. Conclusions: Our study highlights the integral connection between data quality and the design and utilization of data collection forms. While the forms were deemed to contain the most relevant fields, deficiencies in format, order of fields, and the absence of an addendum with guidelines, resulted in large gaps and errors. Form design needs to be reviewed so that it appropriately fits into the overall processes and systems that capture surveillance data. This study is the first of its kind in Malawi, offering an in-depth view of the perceptions and experiences of health professionals involved in disease surveillance on the tools and processes they use.

Correction: Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study.

[This corrects the article DOI: 10.2196/56237.].

Legislation for advancing women's leadership in the health sector in India and Kenya: a 'law cube' approach to identify ways to strengthen legal environments for gender equality.

OBJECTIVES: This paper examines the availability of legal provisions, or the lack thereof, that support women to progress equitably into leadership positions within the health workforce in India and Kenya. METHODS: We adapted the World Bank's Women, Business and Law framework of legal domains relevant to gender equality in the workplace and applied a 'law cube' to analyse the comprehensiveness, accountability and equity and human rights considerations of 27 relevant statutes in India and 11 in Kenya that apply to people in formal employment within the health sector. We assessed those laws against 30 research-validated good practice measures across five legal domains: (1) pay; (2) workplace protections; (3) pensions; (4) care, family life and work-life balance; and (5) reproductive rights. In India, the pension domain and related measures were not assessed because the pension laws do not apply to the public and private sector equally. RESULTS: Several legal domains are addressed inadequately or not at all, including pay in India, reproductive rights in Kenya and the care, family life and the work-life balance domain in both countries. Additionally, we found that among the Kenyan laws reviewed, few specify accountability mechanisms, and equity and human rights measures are mainly absent from the laws assessed in both countries. Our findings highlight inadequacies in the legal environments in India and Kenya may contribute to women's under-representation in leadership in the health sector. The absence of specified accountability mechanisms may impact the effective implementation of legislation, undermining their potential to promote equal opportunities. CONCLUSIONS: Government action is needed in both countries to ensure that legislation addresses best practice provisions, equity and human rights considerations, and provides for independent review mechanisms to ensure accountability for implementation of existing and future laws. This would contribute to ensuring that legal environments uphold the equality of opportunity necessary for realising gender justice in the workplace for the health workforce. PRIMARY SOURCE OF FUNDING: Bill & Melinda Gates Foundation (INV-031372).

"Our program manager is a woman for the first time": perceptions of health managers on what workplace policies and practices exist to advance women's career progression in the health sector in Kenya.

BACKGROUND: Existing evidence suggests that organisation-level policies are important in enabling gender equality and equity in the workplace. However, there is little research exploring the knowledge of health sector employees on whether policies and practices to advance women's career progression exist in their organisations. In this qualitative study, we explored the knowledge and perspectives of health managers on which of their organisations' workplace policies and practices contribute to the career advancement of women and their knowledge of how such policies and practices are implemented and monitored. METHODS: We employed a purposive sampling method to select the study participants. The study adopted qualitative approaches to gain nuanced insights from the 21 in-depth interviews and key informant interviews that we conducted with health managers working in public and private health sector organisations. We conducted a thematic analysis to extract emerging themes relevant to advancing women's career progression in Kenya's health sector. RESULTS: During the interviews, only a few managers cited the policies and practices that contribute to women's career advancement. Policies and practices relating to promotion and flexible work schedules were mentioned most often by these managers as key to advancing women's career progression. For instance, flexible work schedules were thought to enable women to pursue further education which led to promotion. Some female managers felt that women were promoted to leadership positions only when running women-focused programs. There was little mention of capacity-building policies like training and mentorship. The health managers reported how policies and practices are implemented and monitored in general, however, they did not state how this is done for specific policies and practices. For the private sector, the health managers stated that implementation and monitoring of these policies and practices is conducted at the institutional level while for the public sector, this is done at the national or county level. CONCLUSIONS: We call upon health-sector organisations in Kenya to offer continuous policy sensitisation sessions to their staff and be deliberate in having supportive policies and other pragmatic interventions beyond policies such as training and mentorship that can enable women's career progression.

Pathways to leadership: what accounts for women's (in)equitable career paths in the health sectors in India and Kenya? A scoping review.

OBJECTIVES: We aimed to capture evidence on enablers and barriers to improving equal opportunity and effective organisational interventions that can advance women's leadership in India and Kenya's health sectors. METHODS: We systematically searched JSTOR, PubMed, SCOPUS and Web of Science databases, reference lists of selected articles and Google Scholar using string searches. We included studies that were published in English from 2000 to 2022 in peer-reviewed journals or grey literature, focused on paid, formal health professionals in India or Kenya, described factors relating to women's representation/leadership. RESULTS: We identified 26 studies, 15 from India and 11 from Kenya. From each country, seven studies focused on nursing. Participants included women and men health sector workers. Seven studies used mixed methods, 11 were qualitative, 5 were quantitative and 3 were commentaries. Factors influencing women's career progression at individual/interpersonal levels included family support, personal attributes (knowledge/skills) and material resources. Factors at the organisational level included capacity strengthening, networking, organisational policies, gender quotas, work culture and relationships, flexibility, and work burden. Nursing studies identified verbal/sexual harassment and professional hierarchies as barriers to career progression. Structural barriers included a lack of infrastructure (training institutes and acceptable working environments). Normative themes included occupational segregation by gender (particularly in nursing), unpaid care work burden for women and gender norms. Studies of interventions to improve women's career progression and sex-disaggregated workforce data in India or Kenya were limited, especially on leadership within career pathways. The evidence focuses on enablers and barriers at work, rather than on organisations/systems to support women's leadership or address gender norms. CONCLUSIONS: Women in India and Kenya's health sectors face multiple impediments in their careers, which impact their advancement to leadership. This calls for gender-transformative interventions to tackle discrimination/harassment, provide targeted training/mentorship, better parental leave/benefits, flexible/remote working, family/coworker support and equal-opportunity policies/legislation.

INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools.

Introduction: Population health data integration remains a critical challenge in low- and middle-income countries (LMIC), hindering the generation of actionable insights to inform policy and decision-making. This paper proposes a pan-African, Findable, Accessible, Interoperable, and Reusable (FAIR) research architecture and infrastructure named the INSPIRE datahub. This cloud-based Platform-as-a-Service (PaaS) and on-premises setup aims to enhance the discovery, integration, and analysis of clinical, population-based surveys, and other health data sources. Methods: The INSPIRE datahub, part of the Implementation Network for Sharing Population Information from Research Entities (INSPIRE), employs the Observational Health Data Sciences and Informatics (OHDSI) open-source stack of tools and the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to harmonise data from African longitudinal population studies. Operating on Microsoft Azure and Amazon Web Services cloud platforms, and on on-premises servers, the architecture offers adaptability and scalability for other cloud providers and technology infrastructure. The OHDSI-based tools enable a comprehensive suite of services for data pipeline development, profiling, mapping, extraction, transformation, loading, documentation, anonymization, and analysis. Results: The INSPIRE datahub's "On-ramp" services facilitate the integration of data and metadata from diverse sources into the OMOP CDM. The datahub supports the implementation of OMOP CDM across data producers, harmonizing source data semantically with standard vocabularies and structurally conforming to OMOP table structures. Leveraging OHDSI tools, the datahub performs quality assessment and analysis of the transformed data. It ensures FAIR data by establishing metadata flows, capturing provenance throughout the ETL processes, and providing accessible metadata for potential users. The ETL provenance is documented in a machine- and human-readable Implementation Guide (IG), enhancing transparency and usability. Conclusion: The pan-African INSPIRE datahub presents a scalable and systematic solution for integrating health data in LMICs. By adhering to FAIR principles and leveraging established standards like OMOP CDM, this architecture addresses the current gap in generating evidence to support policy and decision-making for improving the well-being of LMIC populations. The federated research network provisions allow data producers to maintain control over their data, fostering collaboration while respecting data privacy and security concerns. A use-case demonstrated the pipeline using OHDSI and other open-source tools.

Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data model.

The COVID-19 pandemic has spurred the use of AI and DS innovations in data collection and aggregation. Extensive data on many aspects of the COVID-19 has been collected and used to optimize public health response to the pandemic and to manage the recovery of patients in Sub-Saharan Africa. However, there is no standard mechanism for collecting, documenting and disseminating COVID-19 related data or metadata, which makes the use and reuse a challenge. INSPIRE utilizes the Observational Medical Outcomes Partnership (OMOP) as the Common Data Model (CDM) implemented in the cloud as a Platform as a Service (PaaS) for COVID-19 data. The INSPIRE PaaS for COVID-19 data leverages the cloud gateway for both individual research organizations and for data networks. Individual research institutions may choose to use the PaaS to access the FAIR data management, data analysis and data sharing capabilities which come with the OMOP CDM. Network data hubs may be interested in harmonizing data across localities using the CDM conditioned by the data ownership and data sharing agreements available under OMOP's federated model. The INSPIRE platform for evaluation of COVID-19 Harmonized data (PEACH) harmonizes data from Kenya and Malawi. Data sharing platforms must remain trusted digital spaces that protect human rights and foster citizens' participation is vital in an era where information overload from the internet exists. The channel for sharing data between localities is included in the PaaS and is based on data sharing agreements provided by the data producer. This allows the data producers to retain control over how their data are used, which can be further protected through the use of the federated CDM. Federated regional OMOP-CDM are based on the PaaS instances and analysis workbenches in INSPIRE-PEACH with harmonized analysis powered by the AI technologies in OMOP. These AI technologies can be used to discover and evaluate pathways that COVID-19 cohorts take through public health interventions and treatments. By using both the data mapping and terminology mapping, we construct ETLs that populate the data and/or metadata elements of the CDM, making the hub both a central model and a distributed model.

Effect of justification of wife-beating on experiences of intimate partner violence among men and women in Uganda: A propensity-score matched analysis of the 2016 Demographic Health Survey data.

INTRODUCTION: In some communities, rationalization of men's controlling attitudes is associated with the justification of gender norms such as wife-beating as a method of correcting spouse behaviour. In this quasi-experimental study, we investigate the causal effects of the acceptability of gender norms justifying wife-beating on experiences of sexual, emotional, and physical intimate partner violence (IPV) among Ugandan men and women. METHODS AND MATERIALS: We analysed the 2016 Uganda Demographic and Health Survey data using propensity-score matching. The exposure variable is the acceptability of gender norms justifying wife-beating measured on a binary scale and the outcomes are the respondent's lifetime experiences of sexual, physical, and emotional IPV. We matched respondents who accepted gender norms justifying wife-beating with those that never through a 1:1 nearest-neighbour matching with a caliper to achieve comparability on selected covariates. We then estimated the causal effects of acceptability of gender norms justifying wife-beating on the study outcomes using a logistic regression model. RESULTS: Results showed that a total of 4,821 (46.5%) out of 10,394 respondents reported that a husband is justified in beating his wife for specific reasons. Among these, the majority (3,774; 78.3%) were women compared to men (1,047; 21.7%). Overall, we found that men and women who accept gender norms justifying wife-beating are more likely to experience all three forms of IPV. In the sub-group analysis, men who justify wife-beating were more likely to experience emotional and physical IPV but not sexual IPV. However, women who justify wife-beating were more likely to experience all three forms of IPV. CONCLUSIONS: In conclusion, the acceptability of gender norms justifying wife-beating has a positive effect on experiences of different forms of IPV by men and women in Uganda. There is, therefore, a need for more research to study drivers for acceptance of gender norms justifying wife-beating to enable appropriate government agencies to put in place mechanisms to address the acceptability of gender norms justifying wife-beating at the societal level.

A call for citizen science in pandemic preparedness and response: beyond data collection.

The COVID-19 pandemic has underlined the need to partner with the community in pandemic preparedness and response in order to enable trust-building among stakeholders, which is key in pandemic management. Citizen science, defined here as a practice of public participation and collaboration in all aspects of scientific research to increase knowledge and build trust with governments and researchers, is a crucial approach to promoting community engagement. By harnessing the potential of digitally enabled citizen science, one could translate data into accessible, comprehensible and actionable outputs at the population level. The application of citizen science in health has grown over the years, but most of these approaches remain at the level of participatory data collection. This narrative review examines citizen science approaches in participatory data generation, modelling and visualisation, and calls for truly participatory and co-creation approaches across all domains of pandemic preparedness and response. Further research is needed to identify approaches that optimally generate short-term and long-term value for communities participating in population health. Feasible, sustainable and contextualised citizen science approaches that meaningfully engage affected communities for the long-term will need to be inclusive of all populations and their cultures, comprehensive of all domains, digitally enabled and viewed as a key component to allow trust-building among the stakeholders. The impact of COVID-19 on people's lives has created an opportune time to advance people's agency in science, particularly in pandemic preparedness and response.

Sex-disaggregated data matters: tracking the impact of COVID-19 on the health of women and men.

Sex and gender matter to health outcomes, but despite repeated commitments to sex-disaggregate data in health policies and programmes, a persistent and substantial absence of such data remains especially in lower-income countries. This represents a missed opportunity for monitoring and identifying gender-responsive, evidence-informed solutions to address a key driver of the pandemic. In this paper we review the availability of national sex-disaggregated surveillance data on COVID-19 and examine trends on the testing-to-outcome pathway. We further analyse the availability of data according to the economic status of the country and investigate the determinants of sex differences, including the national gender inequality status (according to a global index) in each country. Results are drawn from 18 months of global data collection from over 200 countries. We find differences in COVID-19 prevention behaviours and illness outcomes by sex, with lower uptake of vaccination and testing plus an elevated risk of severe disease and death among men. Supporting and maintaining the collection, collation, interpretation and presentation of sex-disaggregated data requires commitment and resources at subnational, national and global levels, but provides an opportunity for identifying and taking gender-responsive action on health inequities. As a first step the global health community should recognise, value and support the importance of sex-disaggregated data for identifying and tackling an inequitable pandemic.

Factors associated with HIV testing among youth in Tanzania based on the 2016-2017 Tanzania HIV Impact Survey (THIS).

HIV testing continues to be a challenge among the young population in Tanzania. As of 2017, only 30% of 15-19-year-olds reported getting tested and receiving their results. This study will examine the demographic and socio-behavioral characteristics associated with HIV testing among adolescents and young adults in Tanzania. Interview data from the 2016-2017 Tanzania HIV Impact Survey (THIS) were analyzed on 10,128 adolescents and young adults 15-24 years of age, representing 10.5 million youth in Tanzania. Weighted logistic regression was used to model the relationship of HIV testing with demographic and socio-behavioral characteristics. Half (50%) of respondents reported ever having been tested for HIV. HIV testing was significantly lower among males compared with females (AOR = 0.5;95% confidence interval [CI] = 0.5-0.6; p<0.001), 15-19 year olds compared with 20-24 year olds (AOR = 0.4;95% CI = 0.4-0.5; p<0.001), no education compared with secondary or post-secondary education (AOR = 0.4;95% CI = 0.3-0.6; p<0.001), rural residents compared with urban residents (AOR = 0.7;95% CI = 0.6-0.9; p<0.001) and those who don't use condoms during sexual intercourse compared with those who do (AOR = 0.6;95% CI = 0.5-0.8; p<0.001). Among HIV-infected youth, younger age group, rural residents, education less than primary, single, high income, and sex workers were significantly associated with never testing for HIV. This study highlights the majority of characteristics affecting HIV testing among young people in Tanzania have not changed over the years, thus it is necessary to re-examine the current approaches to HIV testing. The COVID-19 pandemic will add to this challenge as it collides with the ongoing HIV epidemic and competes for needed medical supplies and health care provider resources. In light of this current situation, intensified and targeted HIV testing programs for at risk young populations in Tanzania should be prioritized.

Prevalence and Risk Factors for Women's Reports of Past-Year Intimate Partner Violence: A Comparative Analysis of Six East African National Surveys.

Violence against women, in all its forms, has been acknowledged as a violation of basic human rights and research evidence shows that it could lead to adverse health consequences. In this study we aimed to determine the prevalence and coexistence of different forms of IPV as well as examine individual-level factors associated with ever experiencing any form of IPV in the 12 months preceding the survey using the most recent Demographic Health Survey data from six East African countries. Results show that the prevalence ranged between 16.5% (Burundi) and 29.3% (Uganda) for emotional, 16.8% (Ethiopia) and 26.6% (Tanzania) for physical, and 8.3% (Rwanda and Ethiopia) and 18.4% (Burundi) for sexual IPV. The prevalence of any IPV ranged from 26.7% to 39.3%. In terms of coexistence, 15.6% to 19.0% of women reported experiencing all the three forms of IPV, with higher proportions reporting experiencing two of the three forms of IPV. The prevalence of both physical and emotional IPV was highest in Tanzania (49.1%), both emotional and sexual IPV in Uganda (28.0%), and both physical and sexual IPV in Burundi (26.2%). A partner's use of alcohol and a woman's justification of wife beating were both statistically significant common risk factors for IPV across the six countries. Women whose partners got drunk often were found to be up to nine times more likely to experience IPV compared to those whose partners did not drink. Younger women and those with larger families were at an increased risk of experiencing IPV, while other significant factors were country specific. In conclusion, our findings highlight the need for integrated and context-specific approaches that deconstruct gendered norms related to power dynamics and patriarchal nuances at household and community level in order to holistically address different forms of IPV.

Understating the barriers to achievement of the UNAIDS 90-90-90 goal in Tanzania using a population-based HIV impact assessment survey 2016-2017.

The Joint United Nations Programme on HIV/AIDS (UNAIDS) and partners launched the 90-90-90 targets. We used Tanzania HIV Impact Survey (THIS) data in 2017 to study the barriers to achieve 90-90-90 targets. THIS was a population-based survey with a stratified multistage stage sampling design. We used weighted logistic regression to associate three targets with socio-demographics, HIV-related discrimination, fear and shame. We defined HIV awareness by a combination of self-reported of HIV status positive and detected antiretroviral (ARV) in blood among PLWH. On ARV was defined as those who self-reported among awareness. Viral load suppression was defined as 400 copies/ml or less in the blood sample. The three targets were estimated at 61-90-85 in Tanzania from the weighted analysis. The first target was far from being achieved. The weighted regression showed that being female, having attained higher education, married, having insurance, and living in urban areas were associated with a high likelihood of having ever tested for HIV. The results indicated that intervention programmes in Tanzania should focus on the first target. Intervention programmes should be designed for each target separately. Integrated strategies in the context of low and middle-income countries are needed to achieve these targets.

Eave and swarm collections prove effective for biased captures of male Anopheles gambiae mosquitoes in Uganda.

BACKGROUND: Traditional malaria vector sampling techniques bias collections towards female mosquitoes. Comprehensive understanding of vector dynamics requires balanced vector sampling of both males and females. Male mosquito sampling is also necessary for population size estimations by male-based mark-release-recapture (MRR) studies and for developing innovations in mosquito control, such as the male-targeted sterile insect technique and other genetic modification approaches. This study evaluated a range of collection methods which show promise in providing a more equal, or even male-biased, sex representation in the sample. RESULTS: Swarms were found at all study sites and were more abundant and larger at the peak of the wet season. Swarm sampling caught the most males, but when man/hour effort was factored in, sampling of eaves by aspiration was the more efficient method and also provided a representative sample of females. Grass-roofed houses were the most productive for eave collections. Overall few mosquitoes were caught with artificial resting traps (clay pots and buckets), although these sampling methods performed better at the start of the wet season than at its peak, possibly because of changes in mosquito ecology and an increased availability of natural resting sites later in the season. Aspiration of bushes was more productive at the peak of the wet season than at the start. CONCLUSIONS: The results of this study demonstrate that eave aspiration was an efficient and useful male mosquito collection method at the study sites and a potentially powerful aid for swarm location and MRR studies. The methods evaluated may together deliver more sex-balanced mosquito captures and can be used in various combinations depending on the aims and ecological parameters of a given study.

Effect of women's intra-household bargaining power on postnatal and infant healthcare in rural Uganda-Results from a cross sectional survey in Kyenjojo district.

Decision-making power and access to and control over resources are key elements of women's bargaining power within a household, and plays an important role in improving healthcare seeking behaviours for women and their children, which in turn augment maternal and child health outcomes. We examined the relationship between intra-household bargaining power and utilization of postnatal and child healthcare services within 6 months after delivery, based on cross-sectional survey data from Kyenjojo district, Tooro sub-region of Western Uganda. We assessed independent associations between women's intra-household bargaining autonomy and postnatal care attendance using a modified Poisson approach for common outcomes. We found that women who contributed to the decision-making processes on child healthcare, personal healthcare, and how to raise money for healthcare of family members were about 20% more likely to attend postnatal and child healthcare within 6 months of delivery, compared with women who were unable to make such decisions. Therefore, contributing to efforts that empower women to have greater control over child and personal healthcare through gender transformative approaches and policy engagements in important.