Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya

Community-Based Health Information Systems in Africa: A Scoping Review of Data Generation, Utilization, and Community Empowerment

Introduction

The community-based health information system (CBHIS) is a vital component of the community health system, as it assesses community-level healthcare service delivery and generates data for community health programme planning, monitoring, and evaluation. CBHIS promotes data-driven decision-making, by identifying priority interventions and programs, guiding resource allocation, and contributing to evidence-based policy development.

Objective

This scoping review aims to comprehensively examine the use of CBHIS in African countries, focusing on data generation, pathways, utilisation of CBHIS data, community accessibility to the data and use of the data to empower communities.

Methods

We utilised Arksey and O'Malley's scoping review methodology. We searched eight databases: PubMed, EMBASE, HINARI, Cochrane Library, Web of Science, Scopus, Google Scholar, and grey literature databases (Open Grey and OAIster). We synthesised findings using a thematic approach.

Results

Our review included 55 articles from 27 African countries, primarily in Eastern and Southern Africa, followed by West Africa. Most of the studies were either quantitative (42%) or qualitative (33%). Paper-based systems are primarily used for data collection in most countries, but some have adopted electronic/mobile-based systems or both. The data flow for CBHIS varies by country and the tools used for data collection. CBHIS data informs policies, resource allocation, staffing, community health dialogues, and commodity supplies for community health programmes. Community dialogue is the most common approach for community engagement, empowerment, and sharing of CBHIS data with communities. Community empowerment tends towards health promotion activities and health provider-led approaches.

Conclusion

CBHIS utilises both paper-based and electronic-based systems to collect and process data. Nevertheless, most countries rely on paper-based systems. Most of the CBHIS investments have focused on digitisation and enhancing data collection, process, and quality. However, there is a need to shift the emphasis towards enabling data utilisation at the community level and community empowerment.

Human factors methods in the design of digital decision support systems for population health: a scoping review

BACKGROUND

While Human Factors (HF) methods have been applied to the design of decision support systems (DSS) to aid clinical decision-making, the role of HF to improve decision-support for population health outcomes is less understood. We sought to comprehensively understand how HF methods have been used in designing digital population health DSS.

MATERIALS AND METHODS

We searched English documents published in health sciences and engineering databases (Medline, Embase, PsychINFO, Scopus, Comendex, Inspec, IEEE Xplore) between January 1990 and September 2023 describing the development, validation or application of HF principles to decision support tools in population health.

RESULTS

We identified 21,581 unique records and included 153 studies for data extraction and synthesis. We included research articles that had a target end-user in population health and that used HF. HF methods were applied throughout the design lifecycle. Users were engaged early in the design lifecycle in the needs assessment and requirements gathering phase and design and prototyping phase with qualitative methods such as interviews. In later stages in the lifecycle, during user testing and evaluation, and post deployment evaluation, quantitative methods were more frequently used. However, only three studies used an experimental framework or conducted A/B testing.

CONCLUSIONS

While HF have been applied in a variety of contexts in the design of data-driven DSSs for population health, few have used Human Factors to its full potential. We offer recommendations for how HF can be leveraged throughout the design lifecycle. Most crucially, system designers should engage with users early on and throughout the design process. Our findings can support stakeholders to further empower public health systems.

Experiences of community health workers on adopting mHealth in rural Malawi: A qualitative study

Background

The use of mobile health technology (mHealth) by community health workers (CHWs) can strengthen community-based service delivery and improve access to and quality of healthcare.

Objective

This qualitative study sought to explore experiences and identify factors influencing the use of an integrated smartphone-based mHealth called YendaNafe by CHWs in rural Malawi.

Methods

Using pre-tested interview guides, between August and October 2022, we conducted eight focus group discussions with CHWs (n = 69), four in-depth interviews with CHW supervisors, and eight key informant interviews in Neno District, Malawi. We audio-recorded and transcribed the interviews verbatim and organized them for analysis in Dedoose V9.0.62. We used an inductive analysis technique to analyze the data. We further applied the six domains of the socio-technical system (STS) framework to map factors influencing the use of YendaNafe.

Results

User experiences and facilitators and barriers were the two main themes that emerged. mHealth was reported to improve the task efficiency, competence, trust, and perceived professionalism of CHWs. CHWs less frequently referred to cultural factors influencing app uptake. However, for other social systems, they identified relationships and trust with stakeholders, availability of training and programmatic support, and performance monitoring and feedback as influencing the use of YendaNafe. From the STS technical domain, the availability and adequacy of hardware such as phones, mobile connectivity, and usability influenced the use of YendaNafe.

Conclusions

Despite the initial discomfort, CHWs found mHealth helpful in supporting their service delivery tasks. Identifying and addressing social and technical factors during mHealth implementation may help improve end users' attitudes and uptake.

Strengthening Kampala's Urban Referral System for Maternal and Newborn Care Through Establishment of an Emergency Call and Dispatch Center

INTRODUCTION

Most pregnant women living in urban slum communities in Uganda deliver at public health centers that are not equipped to provide emergency obstetric and newborn care. When obstetric emergencies occur, pregnant women are referred to a higher-level facility and are responsible for arranging and paying for their own transport. The Kampala Slum Maternal Newborn (MaNe) project developed and tested an emergency call and ambulance dispatch center and a mobile application to request, deploy, and track ambulances. We describe the development of these 2 interventions and findings on the feasibility, acceptability, and sustainability of the interventions.

METHODS

MaNe conducted a mixed-method feasibility study that included an assessment of the acceptability and demand of the interventions. In-depth interviews (N=26) were conducted with facility proprietors, health providers, ambulance drivers, Kampala Capital City Authority officers, and community members to understand the successes and challenges of establishing the call center and developing the mobile application. Thematic content analysis was done. Quantitative data from the call center dispatch logs were analyzed descriptively to complement the qualitative findings.

FINDINGS

Between April 2020 and June 2021, 10,183 calls were made to the emergency call and dispatch center. Of these, 25% were related to maternal and newborn health emergencies and 14% were COVID-19 related. An ambulance was dispatched to transfer or evacuate a patient in 35% of the calls. Participants acknowledged that the call center and mobile application allowed for efficient communication, coordination, and information flow between health facilities. Supportive district leadership facilitated the establishment of the call center and has taken over the operating costs of the center.

CONCLUSION

The call center and referral application improved the coordination of drivers and ambulances and allowed facilities to prepare for and treat cases more efficiently.

Digital Solutions for Community and Primary Health Workers: Lessons From Implementations in Africa

The agenda for Universal Health Coverage has driven the exploration of various innovative approaches to expanding health services to the general population. As more African countries have adopted digital health tools as part of the strategic approach to expanding health services, there is a need for defining a standard framework for implementation across board. Therefore, there is a need to review and employ an evidence-based approach to inform managing challenges, adopting best approaches, and implement informed recommendations. We reviewed a variety of digital health tools applied to different health conditions in primary care settings and highlighted the challenges faced, approaches that worked and relevant recommendations. These include limited coverage and network connectivity, lack of technological competence, lack of power supply, limited mobile phone usage and application design challenges. Despite these challenges, this review suggests that mHealth solutions could attain effective usage when healthcare workers receive adequate onsite training, deploying applications designed in an intuitive and easy to understand approach in a manner that fits into the users existing workflows, and involvement of the stakeholders at all levels in the design, planning, and implementation stages of the interventions.

Strength in Diversity: Integrating Community in Primary Health Care to Advance Universal Health Coverage

The supplement highlights a systems approach that recognizes the communities' roles and their interactions with other health system actors to accelerate outcomes and reflect the diversity of the community health ecosystem. Several cross-cutting priorities emerge from the articles, namely coverage, community health financing, policy change, institutionalization, resilience, accountability, community engagement, and whole-of-society efforts.