Effects of social health insurance on access and utilization of obstetric health services: results from HIV plus pregnant women in Kenya

被引:13
作者
Were, Lawrence P. O. [1 ,2 ]
Were, Edwin [3 ,4 ]
Wamai, Richard [5 ]
Hogan, Joseph [2 ]
Galarraga, Omar [2 ]
机构
[1] Boston Univ, Dept Hlth Sci, Coll Hlth & Rehabil Sci, Sargent Coll, Boston, MA 02215 USA
[2] Brown Univ, Sch Publ Hlth, Providence, RI 02912 USA
[3] Moi Univ, Dept Reprod Hlth, Eldoret, Kenya
[4] AMPATH Kenya, Eldoret, Kenya
[5] Northeastern Univ, Dept Cultures Soc & Global Studies, Boston, MA 02115 USA
关键词
Healthcare utilization; HIV; AIDS; Health insurance; Institutional delivery; Skilled birth attendants; Universal health coverage; SUB-SAHARAN AFRICA; MATERNAL MORTALITY; ECONOMICS; COVERAGE; FUTURE; POWER; CARE; NEED;
D O I
10.1186/s12889-020-8186-y
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Reducing maternal morbidity and mortality remains a top global health agenda especially in high HIV/AIDS endemic locations where there is increased likelihood of mother to child transmission (MTCT) of HIV. Social health insurance (SHI) has emerged as a viable option to improve population access to health services, while improving outcomes for disenfranchised populations, particularly HIV+ women. However, the effect of SHI on healthcare access for HIV+ persons in limited resource settings is yet to undergo rigorous empirical evaluation. This study analyzes the effect of health insurance on obstetric healthcare access including institutional delivery and skilled birth attendants for HIV+ pregnant women in Kenya. Methods We analyzed cross-sectional data from HIV+ pregnant women (ages 15-49 years) who had a delivery (full term, preterm, miscarriage) between 2008 and 2013 with their insurance enrollment status available in the electronic medical records database of a HIV healthcare system in Kenya. We estimated linear and logistic regression models and implemented matching and inverse probability weighting (IPW) to improve balance on observable individual characteristics. Additionally, we estimated heterogeneous effects stratified by HIV disease severity (CD4 < 350 as "Severe HIV disease", and CD4 > 350 otherwise). Findings Health Insurance enrollment is associated with improved obstetric health services utilization among HIV+ pregnant women in Kenya. Specifically, HIV+ pregnant women covered by NHIF have greater access to institutional delivery (12.5-percentage points difference) and skilled birth attendants (19-percentage points difference) compared to uninsured. Notably, the effect of NHIF on obstetric health service use is much greater for those who are sicker (CD4 < 350) - 20 percentage points difference. Conclusion This study confirms conceptual and practical considerations around health insurance and healthcare access for HIV+ persons. Further, it helps to inform relevant policy development for health insurance and HIV financing and delivery in Kenya and in similar countries in sub-Saharan Africa in the universal health coverage (UHC) era.
引用
收藏
页数:10
相关论文
共 50 条
[1]   The path to longer and healthier lives for all Africans by 2030: the Lancet Commission on the future of health in sub-Saharan Africa [J].
Agyepong, Irene Akua ;
Sewankambo, Nelson ;
Binagwaho, Agnes ;
Coll-Seck, Awa Marie ;
Corrah, Tumani ;
Ezeh, Alex ;
Fekadu, Abebaw ;
Kilonzo, Nduku ;
Lamptey, Peter ;
Masiye, Felix ;
Mayosi, Bongani ;
Mboup, Souleymane ;
Muyembe, Jean-Jacques ;
Pate, Muhammad ;
Sidibe, Myriam ;
Simons, Bright ;
Tlou, Sheila ;
Gheorghe, Adrian ;
Legido-Quigley, Helena ;
McManus, Joanne ;
Ng, Edmond ;
O'Leary, Maureen ;
Enoch, Jamie ;
Kassebaum, Nicholas ;
Piot, Peter .
LANCET, 2017, 390 (10114) :2803-2859
[2]  
[Anonymous], 2004, MAKING PREGNANCY SAF
[3]  
[Anonymous], 2012, GUIDELINES PREVENTIO
[4]  
[Anonymous], 2016, KEN AIDS RESP PROGR
[5]  
[Anonymous], 2010, WOR HEALT REP
[6]  
ARROW KJ, 1963, AM ECON REV, V53, P941
[7]   Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies [J].
Austin, Peter C. ;
Stuart, Elizabeth A. .
STATISTICS IN MEDICINE, 2015, 34 (28) :3661-3679
[8]   Kenya National Hospital Insurance Fund Reforms: Implications and Lessons for Universal Health Coverage [J].
Barasa, Edwine ;
Rogo, Khama ;
Mwaura, Njeri ;
Chuma, Jane .
HEALTH SYSTEMS & REFORM, 2018, 4 (04) :346-361
[9]   Estimation of average treatment effects based on propensity scores [J].
Becker, Sascha O. ;
Ichino, Andrea .
STATA JOURNAL, 2002, 2 (04) :358-377
[10]   Adjusting for multiple testing - when and how? [J].
Bender, R ;
Lange, S .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2001, 54 (04) :343-349