Abstract
SETTING: Six hospitals in four sub-Saharan African countries.OBJECTIVE: To examine the indirect effects of COVID-19 on health service utilisation and to explore the risk of bias in studies on prediction models.DESIGN: Monthly data were analysed using interrupted time-series modelling. We used linear mixed-effect models for the analysis of antenatal care visits, institutional deliveries, vaccinations, outpatient visits and hospital admissions, and generalised linear mixed-effect models for hospital mortality.RESULTS: During 2018-2020, the six hospitals recorded a total of 57,075 antenatal care visits, 38,706 institutional deliveries, 312,961 vaccinations, 605,925 outpatient visits and 143,915 hospital admissions. The COVID-19 period was associated with decreases in vaccinations (-575 vaccinations, P < 0.0001), outpatient visits (-700 visits, P < 0.0001) and hospital admission (-102 admission, P = 0.001); however, no statistically significant effects were found for antenatal care visits (P = 0.71) or institutional deliveries (P = 0.14). Mortality rate increased by 2% per month in the pre-COVID-19 period; however, a decreasing trend (by 2% per month) was observed during the COVID-19 period (P = 0.004). Subgroup and sensitivity analyses broadly confirmed the main findings with only minor inconsistencies. A reduction in outpatient visits was also observed in hospitals from countries with a higher Stringency Index and in urban hospitals.CONCLUSIONS: The pandemic resulted in a reduction in health service utilisation. The decreases were less than anticipated from modelling studies.
| Original language | English |
|---|---|
| Pages (from-to) | 34-39 |
| Number of pages | 6 |
| Journal | Public Health Action |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 21 Mar 2022 |
Keywords
- impact
- healthcare utilisation
- health policy
- IMMUNIZATION
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