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. 2023 Dec 10;13(12):e077583.
doi: 10.1136/bmjopen-2023-077583.

Measuring supply-side service disruption: a systematic review of the methods for measuring disruption in the context of maternal and newborn health services in low and middle-income settings

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Measuring supply-side service disruption: a systematic review of the methods for measuring disruption in the context of maternal and newborn health services in low and middle-income settings

Catherine R McGowan et al. BMJ Open. .

Abstract

Objectives: During the COVID-19 pandemic, most essential services experienced some level of disruption. Disruption in LMICs was more severe than in HICs. Early reports suggested that services for maternal and newborn health were disproportionately affected, raising concerns about health equity. Most disruption indicators measure demand-side disruption, or they conflate demand-side and supply-side disruption. There is currently no published guidance on measuring supply-side disruption. The primary objective of this review was to identify methods and approaches used to measure supply-side service disruptions to maternal and newborn health services in the context of COVID-19.

Design: We carried out a systematic review and have created a typology of measurement methods and approaches using narrative synthesis.

Data sources: We searched MEDLINE, EMBASE and Global Health in January 2023. We also searched the grey literature.

Eligibility criteria: We included empirical studies describing the measurement of supply-side service disruption of maternal and newborn health services in LMICs in the context of COVID-19.

Data extraction and synthesis: We extracted the aim, method(s), setting, and study outcome(s) from included studies. We synthesised findings by type of measure (ie, provision or quality of services) and methodological approach (ie, qualitative or quantitative).

Results: We identified 28 studies describing 5 approaches to measuring supply-side disruption: (1) cross-sectional surveys of the nature and experience of supply-side disruption, (2) surveys to measure temporal changes in service provision or quality, (3) surveys to create composite disruption scores, (4) surveys of service users to measure receipt of services, and (5) clinical observation of the provision and quality of services.

Conclusion: Our review identified methods and approaches for measuring supply-side service disruption of maternal and newborn health services. These indicators provide important information about the causes and extent of supply-side disruption and provide a useful starting point for developing specific guidance on the measurement of service disruption in LMICs.

Keywords: COVID-19; Quality in health care; Systematic Review.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
PRISMA flow chart. LMIC, low-income and middle-income country. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

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