2018
DOI: 10.1186/s12939-018-0774-4
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Assessing the community-level impact of a decade of user fee policy shifts on health facility deliveries in Kenya, 2003-2014

Abstract: BackgroundThe long-term impact of user fee removal policies on health service utilization in low- and middle-income countries may vary depending on the context in which they are implemented, including whether there are policy actions to support implementation. We examined the community-level impact of a decade of user fee policy shifts on health facility delivery among poorest and rural women and compared the changes with those among the richest and urban women in Kenya using data from three rounds of national… Show more

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Cited by 13 publications
(15 citation statements)
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“…However, studies have shown mixed evidence with regards to their effectiveness in various contexts. [15][16][17][18] Weak study designs, many of which lacked an adequate control group, may partially explain the mixed evidence. 16 18 An evaluation of a previous FCP introduced in the Democratic Republic of Congo (DRC) in 2008, unrelated to an EVD outbreak, also demonstrated mixed results and the programme was not sustained.…”
Section: Bmj Global Healthmentioning
confidence: 99%
“…However, studies have shown mixed evidence with regards to their effectiveness in various contexts. [15][16][17][18] Weak study designs, many of which lacked an adequate control group, may partially explain the mixed evidence. 16 18 An evaluation of a previous FCP introduced in the Democratic Republic of Congo (DRC) in 2008, unrelated to an EVD outbreak, also demonstrated mixed results and the programme was not sustained.…”
Section: Bmj Global Healthmentioning
confidence: 99%
“…The findings suggest that there were important differences and similarities between the impact of the 10/20 policy on coverage of antenatal care versus delivery care. In a recent paper using Kenya DHS data to examine the impact of the 2004 10/20 policy on coverage and source of delivery care, Obare et al found that the proportion of women who delivered outside of a health facility immediately increased at the population level and among poor women (defined as the bottom two wealth quintiles), but had no immediate effect on home-based delivery care among wealthy women (defined as the top two wealth quintiles) [26]. Further, the study found no immediate effect of the 2004 10/20 policy on use of public facility-based delivery care; instead, the observed reduction in facility-based care was due to decreased use of private facilities and increased home-based births among the poor [26].…”
Section: Summary Of Findingsmentioning
confidence: 99%
“…In a recent paper using Kenya DHS data to examine the impact of the 2004 10/20 policy on coverage and source of delivery care, Obare et al found that the proportion of women who delivered outside of a health facility immediately increased at the population level and among poor women (defined as the bottom two wealth quintiles), but had no immediate effect on home-based delivery care among wealthy women (defined as the top two wealth quintiles) [26]. Further, the study found no immediate effect of the 2004 10/20 policy on use of public facility-based delivery care; instead, the observed reduction in facility-based care was due to decreased use of private facilities and increased home-based births among the poor [26]. While Obare and colleagues' findings suggest that the 2004 10/ 20 policy change was associated with decreased coverage of institutional deliveries, particularly among the poor, our findings suggest that the policy change was associated with increased coverage of 4+ ANC, particularly among the better-off.…”
Section: Summary Of Findingsmentioning
confidence: 99%
See 1 more Smart Citation
“…Among included studies, national legislation or policy adoption promoting the access to and utilisation of SRH services spanned the period from 1996 to 2013, with a concentration of studies conducted between 2000 and 2009 (Supplemental Figure 4). Most studies analysed SRH service utilisation from one to eight years before and one to eight years after legislation/policy adoption (23,25,27,30,31,33,38,(42)(43)(44)(45)(46)(47)(48) and between 1 and 14 years after legislation/policy adoption (26,28,29,32,34,37,40,41,(49)(50)(51)(52)(53)(54). Two studies examined service utilisation two to four years before legislation/ policy adoption at time point 1 and the same year at time point 2 (24,39).…”
Section: Type Of Legislation and Srh Services Usedmentioning
confidence: 99%