Family planning service disruptions in the first two years of the COVID-19 pandemic: Evidence from health facilities in seven low- and middle-income countries.
Celia KarpKelsey WilliamsShannon N WoodFunmilola M OlaOlorunPierre AkilimaliGeorges GuiellaPeter GichangiRosine MossoFrederick MakumbiPhilip A AnglewiczCaroline MoreauPublished in: PLOS global public health (2024)
Many speculated that COVID-19 would severely restrict the delivery of essential health services, including family planning (FP), but evidence of this impact is limited, partly due to data limitations. We use cross-sectional data collected from regional and national samples of health facilities (n = 2,610) offering FP across seven low- and middle-income countries (LMICs) between 2019 and 2021, with longitudinal data from four geographies, to examine reported disruptions to the FP service environment during COVID-19, assess how these disruptions varied according to health system characteristics, and evaluate how disruptions evolved throughout the first two years of the pandemic, relative to a pre-pandemic period. Findings show significant variation in the impact of COVID-19 on facility-based FP services across LMICs, with the largest disruptions to services occurring in Rajasthan, India, where COVID-19 cases were highest among geographies sampled, while in most sub-Saharan African settings there were limited disruptions impacting FP service availability, method provision, and contraceptive supplies. Facility-reported disruptions to care were not reflected in observed changes to the number of FP clients or types of stockouts experienced in the first two years of the pandemic. Public and higher-level facilities were generally less likely to experience COVID-19-related disruptions to FP services, suggesting policy mitigation measures-particularly those implemented among government-operated health facilities-may have been critical to ensuring sustained delivery of reproductive healthcare during the pandemic.
Keyphrases
- healthcare
- coronavirus disease
- sars cov
- mental health
- respiratory syndrome coronavirus
- cross sectional
- electronic health record
- public health
- big data
- primary care
- palliative care
- climate change
- emergency department
- quality improvement
- risk assessment
- affordable care act
- artificial intelligence
- pain management
- machine learning
- adverse drug
- deep learning
- health insurance