Impact of COVID-19 on essential service provision for reproductive, maternal, neonatal, and child health in the Southeast Asia region: a systematic review
Bibliographic record
Abstract
Background: There is increasing evidence that the COVID-19 pandemic has impacted adversely on the provision of essential health services globally. The Southeast Asia region (SEAR) has experienced extremely high rates of COVID-19 infection, with potential adverse impacts on provision of reproductive, maternal, neonatal, and child health (RMNCH) services. Methods: We conducted a systematic literature review of quantitative evidence to characterise the impact of COVID-19 on the provision of essential RMNCH services across the SEAR. Studies published between December 2019 and May 2022 were included in the study. The quality of studies was evaluated using the Joanna Briggs Institute Critical Appraisal Checklist. Findings: We reviewed 1924 studies and analysed data from 20 peer-reviewed studies and three reports documenting quantitative pre-post estimates of RMNCH service disruption because of the COVID-19 pandemic. Eleven studies were of low methodological quality, in addition to seven and five studies of moderate and high methodological qualities respectively. Six countries in the region were represented in the included studies: India (11 studies), Bangladesh (4), Nepal (3), Sri Lanka (1), Bhutan (1) and Myanmar (1). These countries demonstrated a wide reduction in antenatal care services (-1.6% to -69.6%), facility-based deliveries (-2.3% to -52.4%), child immunisation provision (-13.5% to -87.7%), emergency obstetric care (+4.0% to -76.6%), and family planning services (-4.2% to -100%). Interpretation: There have been large COVID-19 pandemic related disruptions for a wide range of RMNCH essential health service indicators in several SEAR countries. Notably, we found a higher level of service disruption than the WHO PULSE survey estimates. If left unaddressed, such disruptions may set back hard-fought gains in RMNCH outcomes across the region. The absence of studies in five SEAR countries is a priority evidence gap that needs addressing to better inform policies for service protection. Funding: WHO Sri Lanka Country Office.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".