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Spatial variation and predictors of missing birth preparedness and complication readiness (BPCR) messages in Ethiopia

Author

Listed:
  • Aklilu Habte
  • Samuel Hailegebreal
  • Tamirat Melis
  • Dereje Haile

Abstract

Background: The Birth Preparedness and Complication Readiness (BPCR) message is one of the prenatal care packages targeted at reducing maternal and neonatal mortality by avoiding unnecessary delays during labor and delivery. There is limited evidence in Ethiopia that has looked at the spatial variation of missing BPCR messages and potential predictors. Hence, this study aimed to identify spatial predictors missing BPCR messages at the national level. Methods: The study was based on analysis of 2016 Ethiopia Demographic Health Survey data, using a weighted sample of 4771 women. Arc-GIS version 10.7 and SaTScan version 9.6 statistical software were used for the spatial analysis. To explore spatial variation and locate spatial clusters of missing BPCR messages, the Global Moran’s I statistic and Bernoulli-based spatial scan (SaTScan) analysis were carried out, respectively. Hotspot (Getis-OrdGi*) analysis was conducted to identify Hotspots and Cold spotsof missing BPCR messages. Finally, spatial regression were carried out via ordinary least squares and geographically weighted regression to identify predictors of hotspots for missing BPCR messages. Results: The overall prevalence of missing BPCR messages in Ethiopia was found to be 44.0% (95%CI: 42.6, 45.4%), with significant spatial variation across regions (Moran’s I = 0.218, p-value

Suggested Citation

  • Aklilu Habte & Samuel Hailegebreal & Tamirat Melis & Dereje Haile, 2023. "Spatial variation and predictors of missing birth preparedness and complication readiness (BPCR) messages in Ethiopia," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-24, December.
    • Handle: RePEc:plo:pone00:0295744
    DOI: 10.1371/journal.pone.0295744
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    References listed on IDEAS

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    3. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
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