Literature DB >> 26861932

Bypassing Primary Care Facilities for Childbirth: Findings from a Multilevel Analysis of Skilled Birth Attendance Determinants in Afghanistan.

Hannah Tappis, Marge Koblinsky, Shannon Doocy, Nicole Warren, David H Peters.   

Abstract

INTRODUCTION: The objective of this study was to assess the association between health facility characteristics and other individual/household factors with a woman's likelihood of skilled birth attendance in north-central Afghanistan.
METHODS: Data from a 2010 household survey of 6879 households in 9 provinces of Afghanistan were linked to routine facility data. Hierarchical logistic regression models were used to assess determinants of skilled birth attendance.
RESULTS: Women who reported having at least one antenatal visit with a skilled provider were 5.6 times more likely to give birth with a skilled attendant than those who did not. The odds of skilled birth attendance were 84% higher for literate women than those without literacy skills and 79% higher among women in the upper 2 wealth quintiles than women in the poorest quintile. This study did not show any direct linkages between facility characteristics and skilled birth attendance but provided insights into why studies assuming that women seek care at the nearest primary care facility may lead to misinterpretation of care-seeking patterns. Findings reveal a 36 percentage point gap between women who receive skilled antenatal care and those who received skilled birth care. Nearly 60% of women with a skilled attendant at their most recent birth bypassed the nearest primary care facility to give birth at a more distant primary care facility, hospital, or private clinic. Distance and transport barriers were reported as the most common reasons for home birth. DISCUSSION: Assumptions that women who give birth with a skilled attendant do so at the closest health facility may mask the importance of supply-side determinants of skilled birth attendance. More research based on actual utilization patterns, not assumed catchment areas, is needed to truly understand the factors influencing care-seeking decisions in both emergency and nonemergency situations and to adapt strategies to reduce preventable mortality and morbidity in Afghanistan.
© 2016 by the American College of Nurse-Midwives.

Entities:  

Keywords:  Afghanistan; health care facility; institutional delivery; intrapartum care; maternal health; skilled birth attendance

Mesh:

Year:  2016        PMID: 26861932     DOI: 10.1111/jmwh.12359

Source DB:  PubMed          Journal:  J Midwifery Womens Health        ISSN: 1526-9523            Impact factor:   2.388


  14 in total

1.  National and subnational estimates of coverage and travel time to emergency obstetric care in Afghanistan: Modeling of spatial accessibility.

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2.  Health care seeking in modern urban LMIC settings: evidence from Lusaka, Zambia.

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3.  Travel time, availability of emergency obstetric care, and perceived quality of care associated with maternal healthcare utilisation in Afghanistan: A multilevel analysis.

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Review 4.  Comprehensive review of the evidence regarding the effectiveness of community-based primary health care in improving maternal, neonatal and child health: 5. equity effects for neonates and children.

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5.  Mitigating the mistreatment of childbearing women: evaluation of respectful maternity care intervention in Ethiopian hospitals.

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6.  Social Determinants of Maternal Health in Afghanistan: A Review.

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7.  Self-referral and associated factors among patients attending adult outpatient departments in Debre tabor general hospital, North West Ethiopia.

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8.  A model for measuring healthcare accessibility using the behavior of demand: a conditional logit model-based floating catchment area method.

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9.  Bypassing health facilities for childbirth: a multilevel study in three districts of Gujarat, India.

Authors:  Mariano Salazar; Kranti Vora; Ayesha De Costa
Journal:  Glob Health Action       Date:  2016-08-19       Impact factor: 2.640

10.  Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya.

Authors:  Ian A Ocholla; Nathan O Agutu; Paul O Ouma; Daniel Gatungu; Felistas O Makokha; Jesse Gitaka
Journal:  BMC Pregnancy Childbirth       Date:  2020-05-12       Impact factor: 3.007

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