ArticleReproductive health2022
Leaving no woman or girl behind? Inclusion and participation in digital maternal health programs in sub-Saharan Africa.
Article in Reproductive health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Impact of Peer Support Through Mobile Health Applications on Breastfeeding Outcomes: A Systematic Review and Meta-Analysis.Maternal & child nutrition · 2026Pooled it
- Socio-digital stratification and the threshold effects of digital inclusion on maternal health access in Somalia.Global health action · 2026Article
- Adopting telehealth for mental health support in stroke rehabilitation in Sub-Saharan Africa: A conceptual analysis using Rogers' Diffusion of Innovation Theory.PLOS global public health · 2026Article
- A qualitative, participatory study to identify barriers and facilitators to women's uptake of National Health Hotline Solutions in Malawi and Mozambique.Oxford open digital health · 2026Article
- Article
- Adherence to digital pregnancy care - lessons learned from the SMART start feasibility study.NPJ digital medicine · 2025Article
- The impact of multidimensional poverty on antenatal care service utilisation in Malawi.Health economics review · 2025Article
- Digital empowerment of women in the South African public sector.Frontiers in sociology · 2025Review
- Review
- Article
- Understanding gender dynamics in mHealth interventions can enhance the sustainability of benefits of digital technology for maternal healthcare in rural Nigeria.Frontiers in global women's health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Across sub-Saharan Africa where access to adequate maternal healthcare is fraught with myriad challenges, especially for hard-to-reach populations, digital health technologies offer opportunities to improve maternal health outcomes. Digital health can circumvent inefficiencies in the traditional healthcare system and address challenges such as limited access to in-person medical consultations, and poor access to skilled birth attendants and health promotion activities. These benefits notwithstanding, digital health can be exclusionary. Too often, digital maternal health programs are not designed with a focus on equity in distribution nor are they designed from a gender equity standpoint. In this paper, we illustrate exclusionary practices of digital health programs through an extensive literature review of digital maternal health programs across sub-Saharan Africa. Taking an intersectional approach, we discuss how women are most vulnerable and excluded at the intersection of gender, literacy, and disability. Tackling exclusionary practices in digital health is crucial to ensure that no woman or girl is left behind.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.