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Correlates of preferences for home or hospital confinement in Pakistan: evidence from a national survey
BACKGROUND: Despite the pregnancy complications related to home births, homes remain yet major place of delivery in Pakistan and 65 percent of totals births take place at home. This work analyses the determinants of place of delivery in Pakistan. METHODS: Multivariate Logistic regression is used for...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3695792/ https://www.ncbi.nlm.nih.gov/pubmed/23800227 http://dx.doi.org/10.1186/1471-2393-13-137 |
Sumario: | BACKGROUND: Despite the pregnancy complications related to home births, homes remain yet major place of delivery in Pakistan and 65 percent of totals births take place at home. This work analyses the determinants of place of delivery in Pakistan. METHODS: Multivariate Logistic regression is used for analysis. Data are extracted from Pakistan Demographic and Health Survey (2006–07). Based on information on last birth preceding 5 years of survey, we construct dichotomous dependent variable i.e. whether women deliver at home (Coded=1) or at health facility (coded=2). RESULTS: Bivariate analysis shows that 72% (p(≤)0.000) women from rural area and 81% women residing in Baluchistan delivered babies at home. Furthermore 75% women with no formal education, 81% (p(≤)0.000) women working in agricultural sector, 75% (p(≤)0.000) of Women who have 5 and more children and almost 77% (p(≤)0.000) who do not discussed pregnancy related issues with their husbands are found delivering babies at home. Multivariate analysis documents that mothers having lower levels of education, economic status and empowerment, belonging to rural area, residing in provinces other than Punjab, working in agriculture sector and mothers who are young are more likely to give births at home. CONCLUSION: A trend for home births, among Pakistani women, can be traced in lower levels of education, lower autonomy, poverty driven working in agriculture sector, higher costs of using health facilities and regional backwardness. |
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