Health systems factors influencing maternal health services: a four-country comparison

Health Policy ◽  
2005 ◽  
Vol 73 (2) ◽  
pp. 127-138 ◽  
Author(s):  
Justin Oliver Parkhurst ◽  
Loveday Penn-Kekana ◽  
Duane Blaauw ◽  
Dina Balabanova ◽  
Kirill Danishevski ◽  
...  
Author(s):  
Chengfang Liu ◽  
Linxiu Zhang ◽  
Yaojiang Shi ◽  
Huan ZHOU ◽  
Alexis Medina ◽  
...  

Purpose Many public health systems have struggled with the dual questions of (1) why the uptake rate of maternal health services is low among some subpopulations; and (2) how to raise it. The objective of this study is to assess the uptake rate of a new set of maternal health services in poor rural areas of China. Design/methodology/approach The analysis is based on the survey responses of women’s representatives and village cadres from almost 1000 villages in June 2012 as part of a wide-scale public health survey in Sichuan, Gansu and Yunnan provinces in the western part of China. Findings We find that the uptake rate of maternal health services (including in-hospital delivery, antenatal care visits and post-partum care visits) in poor rural areas of western China are far below average in China, and that the rates vary across provinces and ethnic groups. Our analyses demonstrate that distance, income, ethnicity and availability appear to be systematically correlated with low uptake rates of all maternal health services. Demand-side factors seem to be by far the most important sources of the differences between subpopulations. We also find that there is potential for creating a Conditional Cash Transfer program to improve the usage of maternal health services. Originality/value We believe that our results will contribute positively to the exploration of answers to the dual questions that many public health systems have struggled with (1) why the uptake rate of maternal health services is low among some subpopulations; and (2) how to raise it.


1967 ◽  
Vol 1 (3) ◽  
pp. 293-308 ◽  
Author(s):  
Andrew Collver ◽  
Ralph Ten Have ◽  
Mary C. Speare

2012 ◽  
Vol 20 (39) ◽  
pp. 50-61 ◽  
Author(s):  
Maurice Bucagu ◽  
Jean M. Kagubare ◽  
Paulin Basinga ◽  
Fidèle Ngabo ◽  
Barbara K Timmons ◽  
...  

2020 ◽  
Vol 35 (8) ◽  
pp. 889-899
Author(s):  
Fato Fene ◽  
Edson Serván-Mori ◽  
Miguel Ángel Mendoza ◽  
Carlos Chivardi ◽  
Hortensia Reyes-Morales ◽  
...  

Abstract ‘Social efficiency’ (SE) denotes the capacity of health systems to ensure equitable access to quality health services at no financial risk to users. Mexico and other low- and middle-income countries have rarely studied the performance of their health systems from an SE perspective. We propose a metric for assessing SE in the production of maternal health services in the public sector among populations without social security, analysing contextual correlates of the demand for these services. Analysis was based on administrative data collected from the 243 health jurisdictions (HJs) in Mexico for the period 2008–15. We defined production inputs as the availability of physical and human resources and social product as the unweighted sum of social sub-products, including an equitable distribution of maternal health resources, the provision of quality maternal health care and financial protection for users. We described the SE scores, the main contextual characteristics as well as those related to the demand for maternal health services. We then performed a variance decomposition analysis of the SE score by component and estimated the SE territorial concentration patterns. Finally, we identified the structural characteristics modelling SE by means of a spatial autoregressive panel data model with fixed effects by year. The SE score rose from 57.7% in 2008 to 71.9% in 2015 (P < 0.01), with its quality component accounting for the largest proportion of variance (30%). SE peaked in HJs with low social marginalization and rurality, and with service demand characterized by low parity and older populations. Different SE levels demonstrated territorial concentration patterns. Analysing SE as a metric for health system performance offers elements that contribute to the achievement of UHC as well as to the design and implementation of effective maternal health interventions intended particularly for the most socially vulnerable sectors of the population.


2017 ◽  
Vol 6 (2) ◽  
pp. 68 ◽  
Author(s):  
Treesia Sujana ◽  
Margareth Barnes ◽  
Jennifer Rowe ◽  
Rachel Reed

Background: Indonesia has always been struggling with maternal health issue even after the Millennium Development Goals (MDGs) programs were done. Prior research findings identified many factors which influenced maternal health status in developing countries such Indonesia and even though various efforts had been made, the impact of the transformation of maternal health behavior was minimal.Purpose: This study aimed to seek an understanding of the factors influencing decisions towards maternal health services.Methods: A case study with a single case embedded design was employed. Interviews and Focus Group Discussions (FGDs) were held to collect data from 3 health workers and 40 maternal women in a sub-district in Central Java, Indonesia.Results: Interviews with the village midwives as the main health providers in the Getasan sub-district concluded that there were several factors influencing the women's decisions towards maternal services. The factors were options to have services with other health workers outside the area, and shaman services as alternative care and family influencing maternal health behaviors. The analysis of the FGDs also supported the village midwives’ statements that in spite of their awareness towards the available maternal health services, the existence of shamans and traditional beliefs strongly affected their decision.Conclusion: The findings in this study showed that cultural issues prevented the maximum maternal health status in Getasan sub-district. This study recommends Puskesmas (Primary Health Care) as the first level of health institutions in Indonesia to support the village midwives’ roles within their target area.


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