Utilisation of mobile phone interventions to improve the delivery of maternal health services in sub-Saharan Africa: A scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: There has been significant progress in maternal health outcomes in the sub-Saharan African region since the early 1990s, in part due to digital and mobile health interventions. However, critical gaps and disparities remain. Mobile phones in particular have potential to reach underserved, hard-to-reach populations with underdeveloped infrastructure. In spite of the opportunities for mobile phones to address maternal mortality in the region, there is no extensive mapping of the available literature on mobile phone interventions that aim to improve access of maternal care in sub-Saharan Africa. The proposed scoping review aims to map literature on the nature and extent of mobile phones interventions designed to improve maternal care health services in the region. METHODS: Conduct of this scoping review will be guided by the Joanna Briggs Institute approach. Literature searches will be conducted in multiple electronic databases, including MEDLINE, Embase, CINAHL, APA PsycInfo, Cochrane Central Register of Controlled Trials, Global Health, African Index Medicus, Web of Science, and Applied Social Sciences Index & Abstracts. Grey literature will also be identified. Keyword searches will be used to identify articles. Two reviewers will independently screen eligible titles, abstracts and full articles with a third reviewer to help resolve any disputes. We will extract data on general study characteristics, population characteristics, concept, context, intervention details, study results, gaps and recommendations. DISCUSSION: Understanding use of mobile phones among underserved, hard-to-reach populations with underdeveloped infrastructure to address maternal mortality in developing countries is very critical to informing health systems on potential effective strategies. This review will complement the evidence base on utilisation of mobile phone interventions to improve the delivery of maternal health services in sub-Saharan Africa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.095 | 0.072 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.013 | 0.015 |
| Bibliometrics | 0.017 | 0.013 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.061 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".