Effects of COVID-19 on child health services utilization and delivery in rural Mozambique: a qualitative study
Bibliographic record
Abstract
Little is known about the COVID-19 pandemic-related disruptions in health services and the resilience of the health system response in rural low-resource settings. We conducted a phenomenological qualitative study (October-November 2020) to understand COVID-19-related influences on the utilization and delivery of child health services in Monapo district, rural Mozambique. We interviewed 36 caregivers with children <2.5 years, 21 health providers and 4 district health services staff using in-person in-depth interviews. Data were analysed using inductive thematic content analysis. Our findings showed that caregivers, providers and district health services staff unanimously reported a decrease in child consultations at the start of the pandemic. Administrative data from health facilities confirmed persisting declines in monthly consultations. Respondents explained reductions due to miscommunication about health facility operations, fear of COVID-19, reduced consultation schedules and reduced household incomes. Providers reported several challenges in delivering services including lack of caregiver compliance with risk mitigation measures, caregivers' fear of risk mitigation measures, perceived lack of caregiver knowledge about COVID-19 and lack of supplies and protective equipment. All respondents described how COVID-19 had increased food insecurity and food prices and reduced incomes and livelihoods. These negative economic consequences were perceived as the main reason for reported increases in cases of child malnutrition. Despite reductions, child health service utilization and delivery have largely continued throughout the COVID-19 pandemic, indicating an adaptive and resilient primary health system response in Monapo district. Our findings highlighted the persistent difficulties providers and caregivers face adhering to COVID-19 prevention and risk mitigation measures. A coordinated multi-sectoral response is needed to address the persistent negative economic impacts of the pandemic for young children and their families in rural areas.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".