scholarly journals Mixed effects analysis of factors associated with health insurance coverage among women in sub-Saharan Africa

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248411
Author(s):  
Hubert Amu ◽  
Abdul-Aziz Seidu ◽  
Ebenezer Agbaglo ◽  
Robert Kokou Dowou ◽  
Edward Kwabena Ameyaw ◽  
...  
Keyword(s):  
Health Insurance ◽  
Formal Education ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Reproductive Age ◽  
Sub Saharan Africa ◽  
Health Coverage ◽  
Women Of Reproductive Age ◽  
African Countries ◽  
Sub Saharan

Introduction In the pursuit of achieving the Sustainable Development Goal targets of universal health coverage and reducing maternal mortality, many countries in sub-Saharan Africa have implemented health insurance policies over the last two decades. Given that there is a paucity of empirical literature at the sub-regional level, we examined the prevalence and factors associated with health insurance coverage among women in in sub-Saharan Africa. Materials and methods We analysed cross-sectional data of 307,611 reproductive-aged women from the most recent demographic and health surveys of 24 sub-Saharan African countries. Bivariable and multivariable analyses were performed using chi-square test of independence and multi-level logistic regression respectively. Results are presented as adjusted Odds Ratios (aOR) for the multilevel logistic regression analysis. Statistical significance was set at p<0.05. Results The overall coverage of health insurance was 8.5%, with cross-country variations. The lowest coverage was recorded in Chad (0.9%) and the highest in Ghana (62.4%). Individual-level factors significantly associated with health insurance coverage included age, place of residence, level of formal education, frequency of reading newspaper/magazine and watching television. Wealth status and place of residence were the contextual factors significantly associated with health insurance coverage. Women with no formal education were 78% less likely to be covered by health insurance (aOR = 0.22, 95% CI = 0.21–0.24), compared with those who had higher education. Urban women, however, had higher odds of being covered by health insurance, compared with those in the rural areas [aOR = 1.20, 95%CI = 1.15–1.25]. Conclusion We found an overall relatively low prevalence of health insurance coverage among women of reproductive age in sub-Saharan Africa. As sub-Saharan African countries work toward achieving the Sustainable Development Goal targets of universal health coverage and lowering maternal mortality to less than 70 deaths per 100,000 live births, it is important that countries with low coverage of health insurance among women of reproductive age integrate measures such as free maternal healthcare into their respective development plans. Interventions aimed at expanding health insurance coverage should be directed at younger women of reproductive age, rural women, and women who do not read newspapers/magazines or watch television.

scholarly journals Prevalence and determinants of breast cancer screening in four sub-Saharan African countries: a population-based study

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039464
Author(s):  
Djibril M Ba ◽  
Paddy Ssentongo ◽  
Edeanya Agbese ◽  
Yanxu Yang ◽  
Ramata Cisse ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Health Insurance ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Insurance Coverage ◽  
Reproductive Age ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Factors Associated ◽  
Sub Saharan

ObjectivesBreast cancer is the most prevalent cancer and the second leading cause of cancer-related deaths among women after cervical cancer in much of sub-Saharan Africa. This study aims to examine the prevalence and sociodemographic–socioeconomic factors associated with breast cancer screening among women of reproductive age in sub-Saharan Africa.DesignA weighted population-based cross-sectional study using Demographic and Health Surveys (DHS) data. We used all available data on breast cancer screening from the DHS for four sub-Saharan African countries (Burkina Faso, Ivory Coast, Kenya and Namibia). Breast cancer screening was the outcome of interest for this study. Multivariable Poisson regression was used to identify independent factors associated with breast cancer screening.SettingFour countries participating in the DHS from 2010 to 2014 with data on breast cancer screening.ParticipantsWomen of reproductive age 15–49 years (N=39 646).ResultsThe overall prevalence of breast cancer screening was only 12.9% during the study period, ranging from 5.2% in Ivory Coast to 23.1% in Namibia. Factors associated with breast cancer screening were secondary/higher education with adjusted prevalence ratio (adjusted PR)=2.33 (95% CI: 2.05 to 2.66) compared with no education; older participants, 35–49 years (adjusted PR=1.73, 95% CI : 1.56 to 1.91) compared with younger participants 15–24 years; health insurance coverage (adjusted PR=1.57, 95% CI: 1.47 to 1.68) compared with those with no health insurance and highest socioeconomic status (adjusted PR=1.33, 95% CI : 1.19 to 1.49) compared with lowest socioeconomic status.ConclusionDespite high breast cancer mortality rates in sub-Saharan Africa, the prevalence of breast cancer screening is substantially low and varies gradually across countries and in relation to factors such as education, age, health insurance coverage and household wealth index level. These results highlight the need for increased efforts to improve the uptake of breast cancer screening in sub-Saharan Africa.

scholarly journals Renal Failure among Women of Reproductive Age in Burundi: Estimating the Prevalence and Associated Factors Using Population-Based Data

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Michael Ekholuenetale ◽  
Temitope Oluwaseyi Adeyoju ◽  
Herbert Onuoha ◽  
Amadou Barrow
Keyword(s):  
Risk Factors ◽  
Renal Failure ◽  
Health Insurance ◽  
Formal Education ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Population Based ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
History Of

Background. Renal failure is a leading cause of morbidity and mortality in many resource-constrained settings. In developing countries, little has been known about the prevalence and predisposing factors of renal failure using population-based data. The objective of this study was to examine the prevalence and associated factors of renal failure among women of reproductive age in Burundi. Methods. We used nationally representative cross-sectional data from the 2016-2017 Burundi Demographic and Health Survey (BDHS). Data on 17,269 women of reproductive age were included. The outcome variable was a renal failure as determined by the patient’s report. Percentage, chi-square test, and multivariable logistic regression model were used to analyze the data. The results from the logistic regression model were presented as adjusted odds ratio (AOR) and confidence interval (95% CI). The significance level was set at p < 0.05 . Results. The overall prevalence of renal failure was 5.0% (95% CI: 4.4%, 5.7%). Higher-aged women were more likely to have a renal failure when compared with women aged 15–19 years. Rural dwellers were 1.65 times as likely to have a renal failure when compared with women in the urban residence (AOR = 1.65; 95% CI: 1.24, 2.20). Women who had secondary + education had a 39% reduction in the odds of renal failure when compared with women with no formal education (AOR = 0.61; 95% CI: 0.46, 0.81). Health insurance coverage accounted for a 23% reduction in the odds of renal failure when compared with women who were not covered by health insurance (AOR = 0.77; 95% CI: 0.63, 0.93). Women who had a terminated pregnancy were 1.50 times as likely to have a renal failure when compared with women with no history of terminated pregnancy (AOR = 1.50; 95% CI: 1.24, 1.82). Furthermore, women with a history of contraceptive use were 1.32 times as likely to have a renal failure when compared with women without a history of contraceptive use (AOR = 1.32; 95% CI: 1.11, 1.57). Conclusion. Lack of formal education, having no health insurance coverage, and ever used anything or tried to delay or avoid getting pregnant were the modifiable risk factors of renal failure. The nonmodifiable risk factors were old age, rural residence, certain geographical regions, and having a history of pregnancy termination. Understanding the risk factors of renal failure will help to instigate early screening, detection, and prompt treatment initiation. In addition, early detection of the risk factors can help to reduce the adverse health impact including maternal death.

Health insurance coverage for vulnerable children: two HIV orphans with Burkitt lymphoma and their quest for health insurance coverage in Kenya

2020 ◽  
Vol 13 (8) ◽  
pp. e230508
Author(s):  
Sandra Langat ◽  
Festus Njuguna ◽  
Gertjan Kaspers ◽  
Saskia Mostert
Keyword(s):  
Health Insurance ◽  
Low Income ◽  
Burkitt Lymphoma ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Sub Saharan Africa ◽  
Health Coverage ◽  
Global Public Health ◽  
Sub Saharan ◽  
Uninsured Children

The United Nations and WHO have summoned governments from low-income and middle-income countries to institute universal health coverage and thereby improve their population’s healthcare access and outcomes. Until now, few countries responded favourably to this international plea. The HIV/AIDS epidemic, a major global public health challenge, resulted in over 11 million orphans in sub-Saharan Africa. Extended families have taken responsibility for more than 90% of these children. HIV orphans are likely to be poorer and less healthy. Burkitt lymphoma is the most common childhood cancer in sub-Saharan Africa. If orphans need lifesaving chemotherapy, appointing legal guardians becomes necessary to access health insurance. However, rules and regulations involved may be unclear and costly. This hinders its access for poor families who need it most. Uninsured children risk hospital detention over unpaid medical bills and have lower survival. Our case report depicts the quest for health insurance coverage of two HIV orphans with Burkitt lymphoma in Kenya.

scholarly journals Examining the level and inequality in health insurance coverage in 36 sub-Saharan African countries

2021 ◽  
Vol 6 (4) ◽  
pp. e004712
Author(s):  
Edwine Barasa ◽  
Jacob Kazungu ◽  
Peter Nguhiu ◽  
Nirmala Ravishankar
Keyword(s):  
Health Insurance ◽  
Concentration Index ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Sub Saharan Africa ◽  
Demographic And Health Surveys ◽  
Population Coverage ◽  
Financial Barriers ◽  
Inequality In Health ◽  
Sub Saharan

IntroductionLow/middle-income countries (LMICs) in sub-Saharan Africa (SSA) are increasingly turning to public contributory health insurance as a mechanism for removing financial barriers to access and extending financial risk protection to the population. Against this backdrop, we assessed the level and inequality of population coverage of existing health insurance schemes in 36 SSA countries.MethodsUsing secondary data from the most recent Demographic and Health Surveys, we computed mean population coverage for any type of health insurance, and for specific forms of health insurance schemes, by country. We developed concentration curves, computed concentration indices, and rich–poor differences and ratios to examine inequality in health insurance coverage. We decomposed the concentration index using a generalised linear model to examine the contribution of household and individual-level factors to the inequality in health insurance coverage.ResultsOnly four countries had coverage levels with any type of health insurance of above 20% (Rwanda—78.7% (95% CI 77.5% to 79.9%), Ghana—58.2% (95% CI 56.2% to 60.1%), Gabon—40.8% (95% CI 38.2% to 43.5%), and Burundi 22.0% (95% CI 20.7% to 23.2%)). Overall, health insurance coverage was low (7.9% (95% CI 7.8% to 7.9%)) and pro-rich; concentration index=0.4 (95% CI 0.3 to 0.4, p<0.001). Exposure to media made the greatest contribution to the pro-rich distribution of health insurance coverage (50.3%), followed by socioeconomic status (44.3%) and the level of education (41.6%).ConclusionCoverage of health insurance in SSA is low and pro-rich. The four countries that had health insurance coverage levels greater than 20% were all characterised by substantial funding from tax revenues. The other study countries featured predominantly voluntary mechanisms. In a context of high informality of labour markets, SSA and other LMICs should rethink the role of voluntary contributory health insurance and instead embrace tax funding as a sustainable and feasible mechanism for mobilising resources for the health sector.

scholarly journals PEMANFAATAN JAMINAN KESEHATAN DALAM PELAYANAN KESEHATAN IBU DI TUJUH KABUPATEN/KOTA DI INDONESIA

2019 ◽  
Vol 18 (2) ◽  
pp. 111-121
Author(s):  
Heny Lestary ◽  
Sugiharti Sugiharti ◽  
Suparmi Suparmi
Keyword(s):  
Health Insurance ◽  
Maternal Health ◽  
Antenatal Care ◽  
Universal Health Coverage ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Reproductive Age ◽  
Health Coverage ◽  
Delivery Services ◽  
Universal Health

ABSTRACT  Since 2014, Indonesia has been implementing universal health coverage to increase health insurance coverage. However, health insurance utilization by the community for maternal health is still low. This research aimed to determine factors related to the use of health insurance for antenatal care and delivery services among pregnant and childbirth women. The research conducted in 7 districts/cities, namely Kota Bandar Lampung, Kota Palembang, Kabupaten Lebak, Kabupaten Karawang, Kota Semarang, Kota Surabaya, dan Kota Makasar. A total of 517 respondents has been interviewed. The results showed that most respondents aged 21-34 years (68.5%), unemployed (74.7%) and graduated from high school or higher (58.4%). Around 11% of the respondent had health insurance. 73.0% of respondents who had health insurance used it for antenatal care and 88.3% used it for delivery. Multivariate analysis shows that the level of income is related to the use of health insurance for antenatal care and delivery, whereas mothers who have income level higher than Rp 2,000,000 had lower odds to utilize health insurance for antenatal care (OR=0,56; 95%CI:0,35 - 0,91) and delivery (OR=0,52; 95%CI:0,27 - 1,02). Therefore, there is a need for broader socialization of health insurance utilization for antenatal and delivery, especially for couples at reproductive age. Keywords: Health insurance, health services, maternal health   ABSTRAK Pada tahun 2014, Indonesia mulai melaksanakan Universal Health Coverage untuk meningkatkan cakupan jaminan kesehatan. Namun, pemanfaatan jaminan kesehatan oleh masyarakat untuk kesehatan ibu masih rendah. Penelitian ini bertujuan untuk mengetahui faktor yang berhubungan dengan pemanfaatan jaminan kesehatan untuk pemeriksaan kehamilan dan pelayanan persalinan pada ibu hamil dan bersalin. Penelitian dilaksanakan di 7 (tujuh) kabupaten/kota, yaitu Kota Bandar Lampung, Kota Palembang, Kabupaten Lebak, Kabupaten Karawang, Kota Semarang, Kota Surabaya, dan Kota Makasar. Sebesar 517 responden yang berhasil diwawancarai. Hasil analisis menunjukkan bahwa sebagian besar responden berumur 21 – 34 tahun (68,5%), tidak bekerja (74,7%) dan berpendidikan tamat SMA+ (58,4%). Sekitar 11,0% responden tidak memiliki jaminan kesehatan. Dari responden yang memiliki jaminan kesehatan, hanya 73,0% di antaranya yang memanfaatkan untuk pemeriksaan kehamilan dan 88,3% memanfaatkan untuk persalinan. Analisis multivariat menunjukkan bahwa tingkat pendapatan berhubungan dengan pemanfaatan jaminan kesehatan untuk pemeriksaan kehamilan, dan persalinan, dimana ibu yang memiliki tingkat pendapatan ≥Rp 2.000.000,- memiliki kemungkinan lebih rendah untuk memanfaatkan jaminan kesehatan untuk pemeriksaan kehamilan (OR=0,56; 95%CI:0,35 - 0,91) maupun persalinan (OR=0,52; 95%CI:0,27 - 1,02). Oleh sebab itu, perlu sosialisasi lebih luas agar memanfaatkan jaminan kesehatan untuk pemeriksaan kehamilan dan persalinan, terutama pada Pasangan Usia Subur (PUS). Kata kunci: Jaminan kesehatan, pelayanan kesehatan, kesehatan ibu

scholarly journals Identifying the determinants of health insurance coverage among Peruvian women of reproductive age: an assessment based on the national Peruvian demographic survey of 2017

2020 ◽  
Author(s):  
Eduardo Ramos Rosas ◽  
Volker Winkler ◽  
Stephan Brenner ◽  
Manuela De Allegri
Keyword(s):  
Health Insurance ◽  
Rural Areas ◽  
Multinomial Logistic Regression ◽  
Insurance Coverage ◽  
Universal Coverage ◽  
Health Insurance Coverage ◽  
Reproductive Age ◽  
Health Coverage ◽  
Insurance Scheme ◽  
Coverage Rates

Abstract Background: Like many other Latin America- and Caribbean countries, Peru has introduced a tax-financed health insurance scheme called “Sistema Integral de Salud (SIS)” to foster progress towards Universal Health Coverage. The scheme explicitly targets the poorest sections of the population. Our study explores levels of health insurance coverage and their determinants among Peruvian women following the introduction of SIS. We wish to determine the extent to which the introduction of SIS has effectively closed gaps in insurance coverage and for whom. Methods: Relying on the 2017 round of ENDES (Encuesta Nacional Demográfica y de Salud Familiar) survey, we analyzed data for 33168 women aged 15-49. We used multinomial logistic regression to explore the association between health insurance coverage (defined as No Insurance, SIS, Standard Insurance) and women’s socio-demographic and economic characteristics. Results: Out of the 33168 women, 25.3% did not have any insurance coverage, 45.5% were covered by SIS and 29.2% were covered by a Standard Insurance scheme. Women in the SIS group were found to have lower educational levels, live in rural areas and more likely to be poorer. Women in the Standard insurance group were found to be more educated, more likely to be “Spanish”, and to be wealthier. Most uninsured women appeared to belong to a middle class, not poor enough to be eligible for SIS, but also not eligible for standard insurance. Conclusions: Our study confirms that SIS has been effective in increasing coverage among vulnerable women, with coverage rates comparable with those observed among men. Nevertheless, on its own, it has proven to be insufficient to ensure universal coverage among women. Further reforms are needed to ensure that coverage is extended to all population groups.

scholarly journals Identifying the determinants of health insurance coverage among Peruvian women of reproductive age: an assessment based on the national Peruvian demographic survey of 2017

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Eduardo Ramos Rosas ◽  
Volker Winkler ◽  
Stephan Brenner ◽  
Manuela De Allegri
Keyword(s):  
Health Insurance ◽  
Rural Areas ◽  
Multinomial Logistic Regression ◽  
Insurance Coverage ◽  
Universal Coverage ◽  
Health Insurance Coverage ◽  
Reproductive Age ◽  
Health Coverage ◽  
Insurance Scheme ◽  
Coverage Rates

Abstract Background Like many other Latin America- and Caribbean countries, Peru has introduced a tax-financed health insurance scheme called “Sistema Integral de Salud (SIS)” to foster progress towards Universal Health Coverage. The scheme explicitly targets the poorest sections of the population. Our study explores levels of health insurance coverage and their determinants among Peruvian women following the introduction of SIS. We wish to determine the extent to which the introduction of SIS has effectively closed gaps in insurance coverage and for whom. Methods Relying on the 2017 round of ENDES (Encuesta Nacional Demográfica y de Salud Familiar) survey, we analyzed data for 33,168 women aged 15–49. We used multinomial logistic regression to explore the association between health insurance coverage (defined as No Insurance, SIS, Standard Insurance) and women’s socio-demographic and economic characteristics. Results Out of the 33,168 women, 25.3% did not have any insurance coverage, 45.5% were covered by SIS and 29.2% were covered by a Standard Insurance scheme. Women in the SIS group were found to have lower educational levels, live in rural areas and more likely to be poorer. Women in the Standard insurance group were found to be more educated, more likely to be “Spanish”, and to be wealthier. Most uninsured women appeared to belong to a middle class, not poor enough to be eligible for SIS, but also not eligible for standard insurance. Conclusions Our study confirms that SIS has been effective in increasing coverage among vulnerable women, with coverage rates comparable with those observed among men. Nevertheless, on its own, it has proven to be insufficient to ensure universal coverage among women. Further reforms are needed to ensure that coverage is extended to all population groups.

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