2019
DOI: 10.1136/bmjgh-2018-000930
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Latent class analysis of the social determinants of health-seeking behaviour for delivery among pregnant women in Malawi

Abstract: IntroductionIn the era of Sustainable Development Goals, reducing maternal and neonatal mortality is a priority. With one of the highest maternal mortality ratios in the world, Malawi has a significant opportunity for improvement. One effort to improve maternal outcomes involves increasing access to high-quality health facilities for delivery. This study aimed to determine the role that quality plays in women’s choice of delivery facility.MethodsA revealed-preference latent class analysis was performed with da… Show more

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Cited by 6 publications
(20 citation statements)
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“…This may lead to increasing gaps between socioeconomic groups and exacerbate the urban–rural divide in access to essential social services. 53 54 Finally, weak health systems may struggle with the ‘capability trap’: donor and political pressure to rapidly appear capable, despite a lack of capacity to implement policy and programmes. 55 Relabelled but not redesigned systems will not achieve improvements in maternal and neonatal health.…”
Section: Benefits and Risks Of Redesignmentioning
confidence: 99%
“…This may lead to increasing gaps between socioeconomic groups and exacerbate the urban–rural divide in access to essential social services. 53 54 Finally, weak health systems may struggle with the ‘capability trap’: donor and political pressure to rapidly appear capable, despite a lack of capacity to implement policy and programmes. 55 Relabelled but not redesigned systems will not achieve improvements in maternal and neonatal health.…”
Section: Benefits and Risks Of Redesignmentioning
confidence: 99%
“…Each woman's choice was modelled as a two-step process, on the basis of the choice function published by Yorlets and colleagues 12 . The choice function was based on discrete-choice methodology applied to the women in the Millennium Development Goal Endline Survey and the 540 possible delivery facilities where they could give birth.…”
Section: Methodsmentioning
confidence: 99%
“…All delivery facilities within 100 km of a woman were included in her choice set. Factors influencing each woman's facility selection were the following: facility type, basic obstetric readiness score, road distance, and whether the facility charged fees for delivery 12 . We calculated the probability of delivery at each facility and the woman was then assigned, probabilistically, to deliver at a single facility.…”
Section: Methodsmentioning
confidence: 99%
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