Barriers and facilitators to implementation of oral rehydration therapy in low- and middle-income countries: A systematic review
Bibliographic record
Abstract
BACKGROUND: Oral rehydration therapy (ORT) is an effective and cheap treatment for diarrheal disease; globally, one of the leading causes of death in children under five. The World Health Organization launched a global campaign to improve ORT coverage in 1978, with activities such as educational campaigns, training health workers and the creation of designate programming. Despite these efforts, ORT coverage remains relatively low. The objective of this systematic review is to identify the barriers and facilitators to the implementation of oral rehydration therapy in low and middle-income countries. METHODS: A comprehensive search strategy comprised of relevant subject headings and keywords was executed in 5 databases including OVID Medline, OVID Embase, OVID HealthStar, Web of Science and Scopus. Eligible studies underwent quality assessment, and a directed content analysis approach to data extraction was conducted and aligned to the Consolidated Framework for Implementation Research (CFIR) to facilitate narrative synthesis. RESULTS: The search identified 1570 citations and following removal of duplicates as well as screening according to our inclusion/exclusion criteria, 55 articles were eligible for inclusion in the review. Twenty-three countries were represented in this review, with India, Bangladesh, Egypt, Nigeria, and South Africa having the most representation of available studies. Study dates ranged from 1981 to 2020. Overarching thematic areas spanning the barriers and facilitators that were identified included: availability and accessibility, knowledge, partnership engagement, and design and acceptability. CONCLUSION: A systematic review of studies on implementation of ORT in low- and middle-income countries (LMICs) highlights key activities that facilitate the development of successful implementation that include: (1) availability and accessibility of ORT, (2) awareness and education among communities, (3) strong partnership engagement strategies, and (4) adaptable design to enhance acceptability. The barriers and facilitators identified under the CIFR domains can be used to build knowledge on how to adapt ORT to national and local settings and contribute to a better understanding on the implementation and use of ORT in LMICs. The prospects for scaling and sustaining ORT (after years of low use) will increase if implementation research informs local applications, and implementers engage appropriate stakeholders and test assumptions around localized theories of change from interventions to expected outcomes. REGISTRATION: A protocol for this systematic review was developed and uploaded onto the PROSPERO international prospective register of systematic reviews database (Registration number: CRD420201695).
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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 | 0.023 | 0.096 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".