Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel Analysis
Background Nationally representative surveys are vital for gauging progress in health and planning health services. However, often marred with inadequate analysis to provide any guidance to health policy and planning. Most recent Pakistan Demographic and Health Survey (PDHS) 2012-2013 is an inclusi...
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doaj-850617473c26407297085b689db281372020-11-24T21:17:06ZengKerman University of Medical SciencesInternational Journal of Health Policy and Management2322-59392322-59392018-08-017869971010.15171/IJHPM.2017.148Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel AnalysisAmbreen Sahito0Zafar Fatmi1Department of Community Medicine, Isra University, Hyderabad, PakistanDepartment of Community Medicine, Isra University, Hyderabad, PakistanBackground Nationally representative surveys are vital for gauging progress in health and planning health services. However, often marred with inadequate analysis to provide any guidance to health policy and planning. Most recent Pakistan Demographic and Health Survey (PDHS) 2012-2013 is an inclusive nationally representative investigation. Nonetheless, its published report offers limited evidence regarding antenatal care (ANC). Furthermore, after 18th constitutional amendment, policies are principally made at provincial level in Pakistan; therefore, it is imperative to have contextual evidence at sub-national level to feed programs and policies. Methods We analysed 7142 women with a recent birth, to assess the individual and environmental determinants of ANC, adapting Andersen’s model of healthcare utilization, by multilevel analysis. Separate models of determinants were developed for the national level and five provinces using survey command in Stata version 12.1. Results Besides that the recommended ANC coverage (≥4 visits) is low in Pakistan (36%), gross inequities exist predominantly across provinces (12% to 82%). Small differences exist between urban and rural localities. Education, health literacy and socio-economic status of women were strong predictors, while communities with high concentration of literate women very strongly predict ANC use (odds ratio [OR] = 12). Determinants of ANC vary at national and at sub-national level. For example, women’s education had no influence on ANC utilization in Khyber Pakhtunkhwa (KPK) and Baluchistan (BC) provinces. Notably, husband’s education was significantly associated with ANC utilization in KPK only. Significant positive interaction exists between urban areas and larger provinces (Punjab, Sindh, and KPK). Also, very strong positive interaction occurs when women have secondary or particularly higher level of education and living in urban areas or larger provinces. Conclusion This study highlights conspicuous contextual differences which determine maternal care at national and sub-national level. It identified contextual factors which are important for planning maternal health services between and within provinces. High positive interaction for ANC utilization between women education, urban areas and larger provinces highlights the inequities which need to be addressed. It also identified factors at the community level (cluster) which relates to overall contex and influence individual behavior and highlights the diminishing urban-rural gap in service utilization in Pakistan.http://www.ijhpm.com/article_3458_06c641d5d102f85c454e2dfc65bc312e.pdfInequityAntenatal Care UtilizationDeterminantsMultilevel AnalysisPakistan |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ambreen Sahito Zafar Fatmi |
spellingShingle |
Ambreen Sahito Zafar Fatmi Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel Analysis International Journal of Health Policy and Management Inequity Antenatal Care Utilization Determinants Multilevel Analysis Pakistan |
author_facet |
Ambreen Sahito Zafar Fatmi |
author_sort |
Ambreen Sahito |
title |
Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel Analysis |
title_short |
Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel Analysis |
title_full |
Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel Analysis |
title_fullStr |
Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel Analysis |
title_full_unstemmed |
Inequities in Antenatal Care, and Individual and Environmental Determinants of Utilization at National and Sub-national Level in Pakistan: A Multilevel Analysis |
title_sort |
inequities in antenatal care, and individual and environmental determinants of utilization at national and sub-national level in pakistan: a multilevel analysis |
publisher |
Kerman University of Medical Sciences |
series |
International Journal of Health Policy and Management |
issn |
2322-5939 2322-5939 |
publishDate |
2018-08-01 |
description |
Background
Nationally representative surveys are vital for gauging progress in health and planning health services. However, often marred with inadequate analysis to provide any guidance to health policy and planning. Most recent Pakistan Demographic and Health Survey (PDHS) 2012-2013 is an inclusive nationally representative investigation. Nonetheless, its published report offers limited evidence regarding antenatal care (ANC). Furthermore, after 18th constitutional amendment, policies are principally made at provincial level in Pakistan; therefore, it is imperative to have contextual evidence at sub-national level to feed programs and policies.
Methods
We analysed 7142 women with a recent birth, to assess the individual and environmental determinants of ANC, adapting Andersen’s model of healthcare utilization, by multilevel analysis. Separate models of determinants were developed for the national level and five provinces using survey command in Stata version 12.1.
Results
Besides that the recommended ANC coverage (≥4 visits) is low in Pakistan (36%), gross inequities exist predominantly across provinces (12% to 82%). Small differences exist between urban and rural localities. Education, health literacy and socio-economic status of women were strong predictors, while communities with high concentration of literate women very strongly predict ANC use (odds ratio [OR] = 12). Determinants of ANC vary at national and at sub-national level. For example, women’s education had no influence on ANC utilization in Khyber Pakhtunkhwa (KPK) and Baluchistan (BC) provinces. Notably, husband’s education was significantly associated with ANC utilization in KPK only. Significant positive interaction exists between urban areas and larger provinces (Punjab, Sindh, and KPK). Also, very strong positive interaction occurs when women have secondary or particularly higher level of education and living in urban areas or larger provinces.
Conclusion
This study highlights conspicuous contextual differences which determine maternal care at national and sub-national level. It identified contextual factors which are important for planning maternal health services between and within provinces. High positive interaction for ANC utilization between women education, urban areas and larger provinces highlights the inequities which need to be addressed. It also identified factors at the community level (cluster) which relates to overall contex and influence individual behavior and highlights the diminishing urban-rural gap in service utilization in Pakistan. |
topic |
Inequity Antenatal Care Utilization Determinants Multilevel Analysis Pakistan |
url |
http://www.ijhpm.com/article_3458_06c641d5d102f85c454e2dfc65bc312e.pdf |
work_keys_str_mv |
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