An assessment of maternal, newborn and child health implementation studies in Nigeria: implications for evidence informed policymaking and practice

Digital Health Technologies for Maternal and Child Health in African and other LMICs: A Cross-disciplinary Scoping Review with Stakeholder Consultation (Preprint)

BACKGROUND

Maternal and child health (MCH) is a global health concern, especially impacting low- and middle-income countries (LMIC). Digital health technologies are creating opportunities to address the social determinants of MCH by facilitating access to information and providing other forms of support throughout the maternity journey. Previous reviews in different disciplines have synthesized digital health intervention outcomes in LMIC. However, contributions in this space are scattered across publications in different disciplines and lack coherence in what digital MCH means across fields.

OBJECTIVE

This cross-disciplinary scoping review synthesized the existing published literature in 3 major disciplines on the use of digital health interventions for MCH in LMIC, with a particular focus on sub-Saharan Africa.

METHODS

We conducted a scoping review using the 6-stage framework by Arksey and O'Malley across 3 disciplines, including public health, social sciences applied to health, and human-computer interaction research in health care. We searched the following databases: Scopus, PubMed, Google Scholar, ACM Digital Library, IEEE Xplore, Web of Science, and PLOS. A stakeholder consultation was undertaken to inform and validate the review.

RESULTS

During the search, 284 peer-reviewed articles were identified. After removing 41 duplicates, 141 articles met our inclusion criteria: 34 from social sciences applied to health, 58 from public health, and 49 from human-computer interaction research in health care. These articles were then tagged (labeled) by 3 researchers using a custom data extraction framework to obtain the findings. First, the scope of digital MCH was found to target health education (eg, breastfeeding and child nutrition), care and follow-up of health service use (to support community health workers), maternal mental health, and nutritional and health outcomes. These interventions included mobile apps, SMS text messaging, voice messaging, web-based applications, social media, movies and videos, and wearable or sensor-based devices. Second, we highlight key challenges: little attention has been given to understanding the lived experiences of the communities; key role players (eg, fathers, grandparents, and other family members) are often excluded; and many studies are designed considering nuclear families that do not represent the family structures of the local cultures.

CONCLUSIONS

Digital MCH has shown steady growth in Africa and other LMIC settings. Unfortunately, the role of the community was negligible, as these interventions often do not include communities early and inclusively enough in the design process. We highlight key opportunities and sociotechnical challenges for digital MCH in LMIC, such as more affordable mobile data; better access to smartphones and wearable technologies; and the rise of custom-developed, culturally appropriate apps that are more suited to low-literacy users. We also focus on barriers such as an overreliance on text-based communications and the difficulty of MCH research and design to inform and translate into policy.

Promoting evidence-informed policymaking through capacity enhancement in implementation research for health researchers and policymakers in Nigeria: A cross-sectional study

BACKGROUND

Capacity constraints on implementation research among policymakers and researchers are a major challenge to the evidence to policy link. This study was designed to bring together senior policymakers and researchers in Nigeria to consider issues around research-to-policy interface and enhance their capacity on implementation research.

METHODS

The design was a cross-sectional study. A 3-day joint implementation research workshop was held for policymakers and researchers using World Health Organization/TDR Implementation Research Toolkit. Assessment of participants' capacity for evidence-informed policymaking and knowledge on implementation research was done using a 5-point Likert scale questionnaire. A postworkshop key informant interview was also conducted.

RESULTS

A total of 20 researchers and 15 policymakers participated in the study. The interaction/partnership between policymakers and researchers was generally rare in terms of priority-setting process, involvement as coinvestigators, and executing strategies to support policymakers' use of research findings. The mean ratings (MNRs) recorded mostly ranged from 1.80 to 1.89 on the 5-point scale. Researchers were rarely involved in the generation of policy-relevant research that satisfies policymakers' needs with MNR very low at 1.74. The MNRs for capacity to acquire, assess, and adapt research were generally considerably higher among researchers (3.16-3.82) than policymakers (2.27-3.20). There was a general consensus that the training tremendously improved participants' understanding and use of implementation research.

CONCLUSION

Policymakers and researchers are increasingly recognizing their need to work with each other in the interest of the health systems. There is a need to create more capacity enhancement platforms that will facilitate the interface between them.