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Impact of COVID-19 on healthcare programs in Zimbabwe: a mixed methods study

Domain:

healthcare

Record type:

paper
Creator:
MidHarGonSem
Publisher:
fig
Host:avatar
Abstract Background The COVID-19 pandemic disrupted healthcare services. Understanding similar epidemic-related disruptions on a broader scope in our local setting is critical for the effective planning of essential services. The study determined the impact of Coronavirus disease(COVID-19) on healthcare programs in Zimbabwe. Methods A mixed-methods study compared healthcare service delivery trends from the Ministry of Health and Child Care before, during and post the pandemic. It employed two methods of data collection: Key informant interviews (KII) and secondary data analysis from the Zimbabwe District Health Information Systems 2 (DHIS2). Purposive sampling obtained key informants for interviews whilst 18 healthcare service indicators were identified from the national database. Statistical analysis consisted of an interrupted time series analysis of those indicators preceded by visualization to appreciate trend change. An inductive approach was used to code and identify basic themes which were then triangulated against DHIS2 findings. Results The study revealed that COVID-19 had a negative impact on health service delivery; increasing disruptions of critical healthcare services, maternal and child health, reproductive health issues, and other specialist services were prominent. The rise in maternal and child mortality cases and caesarean sections could be directly linked to the decline in service delivery during the pandemic. Mitigation strategies that were introduced during the pandemic included the use of community-based services, outreach services, capacity building, and de-congestion of public services. Conclusions The pandemic disrupted healthcare delivery, causing service usage to decline due to lockdowns. Response strategies included community services, capacity building, and stakeholder engagement. Future readiness requires epidemic plans, enhanced resources, a multisectoral approach, workforce training, and public education.

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doi.orgspringernature.figshare.com

Tags

MedicineSociologyFOS: SociologyBiological Sciences not elsewhere classifiedComputational Biology

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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