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 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 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 Governance factors that affect the implementation of health financing reforms in Tanzania: an exploratory study of stakeholders’ perspectives

2021 ◽  
Vol 6 (8) ◽  
pp. e005964
Author(s):  
Doris Osei Afriyie ◽  
Brady Hooley ◽  
Grace Mhalu ◽  
Fabrizio Tediosi ◽  
Sally M Mtenga
Keyword(s):  
Health Insurance ◽  
Low Income ◽  
Insurance Coverage ◽  
Health Financing ◽  
Health Insurance Coverage ◽  
Normalisation Process Theory ◽  
Successful Implementation ◽  
Health Coverage ◽  
Financial Risk Protection ◽  
Financing Policies

The development of effective and inclusive health financing reforms is crucial for the progressive realisation of universal health coverage in low-income and middle-income countries. Tanzania has been reforming health financing policies to expand health insurance coverage and achieve better access to quality healthcare for all. Recent reforms have included improved community health funds (iCHFs), and others are underway to implement a mandatory national health insurance scheme in order to expand access to services and improve financial risk protection. Governance is a crucial structural determinant for the successful implementation of health financing reforms, however there is little understanding of the governance elements that hinder the implementation of health financing reforms such as the iCHF in Tanzania. Therefore, this study used the perspectives of health sector stakeholders to explore governance factors that influence the implementation of health financing reforms in Tanzania. We interviewed 36 stakeholders including implementers of health financing reforms, policymakers and health insurance beneficiaries in the regions of Dodoma, Dar es Salaam and Kilimanjaro. Normalisation process theory and governance elements guided the structure of the in-depth interviews and analysis. Governance factors that emerged from participants as facilitators included a shared strategic vision for a single mandatory health insurance, community engagement and collaboration with diverse stakeholders in the implementation of health financing policies and enhanced monitoring of iCHF enrolment due to digitisation of registration process. Governance factors that emerged as barriers to the implementation were a lack of transparency, limited involvement of the private sector in service delivery, weak accountability for revenues generated from community level and limited resources due to iCHF design. If stakeholders do not address the governance factors that hinder the implementation of health financing reforms, then current efforts to expand health insurance coverage are unlikely to succeed on their own.

scholarly journals The convergence of racial and income disparities in health insurance coverage in the United States

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
De-Chih Lee ◽  
Hailun Liang ◽  
Leiyu Shi
Keyword(s):  
Health Insurance ◽  
Low Income ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Combined Effect ◽  
Medical Expenditure ◽  
The Us ◽  
Race Ethnicity ◽  
Vulnerability Measure

Abstract Objective This study applied the vulnerability framework and examined the combined effect of race and income on health insurance coverage in the US. Data source The household component of the US Medical Expenditure Panel Survey (MEPS-HC) of 2017 was used for the study. Study design Logistic regression models were used to estimate the associations between insurance coverage status and vulnerability measure, comparing insured with uninsured or insured for part of the year, insured for part of the year only, and uninsured only, respectively. Data collection/extraction methods We constructed a vulnerability measure that reflects the convergence of predisposing (race/ethnicity), enabling (income), and need (self-perceived health status) attributes of risk. Principal findings While income was a significant predictor of health insurance coverage (a difference of 6.1–7.2% between high- and low-income Americans), race/ethnicity was independently associated with lack of insurance. The combined effect of income and race on insurance coverage was devastating as low-income minorities with bad health had 68% less odds of being insured than high-income Whites with good health. Conclusion Results of the study could assist policymakers in targeting limited resources on subpopulations likely most in need of assistance for insurance coverage. Policymakers should target insurance coverage for the most vulnerable subpopulation, i.e., those who have low income and poor health as well as are racial/ethnic minorities.

A COMPARATIVE STUDY ON AWARENESS AND HEALTH INSURANCE COVERAGE IN RURALAND URBAN MEERUT

2021 ◽  
pp. 65-67
Author(s):  
Harivansh Chopra ◽  
Tanveer Bano ◽  
Niharika Verma ◽  
Gargi Pandey
Keyword(s):  
Health Insurance ◽  
Urban Area ◽  
Rural Area ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Health Coverage ◽  
Rural And Urban ◽  
Economics Of Health ◽  
Poverty Status ◽  
Rural And Urban Area

Universal Health Coverage aims to provide essential health services to all while providing protection from catastrophic expenditure on health. To mitigate the economics of health expenditure, health insurance is one of the important tool. Hence, this study was conducted to nd out the awareness and practice of health insurance coverage in rural and urban Meerut.90 households were studied in both rural and urban area. Awareness was higher in urban area but coverage was higher in rural area. Awareness and coverage were found to be signicantly associated with poverty status in rural area of Meerut.

scholarly journals Union Effects on Health Insurance Provision and Coverage in the United States

ILR Review ◽  
2002 ◽  
Vol 55 (4) ◽  
pp. 610-627 ◽  
Author(s):  
Thomas C. Buchmueller ◽  
John Dinardo ◽  
Robert G. Valletta
Keyword(s):  
United States ◽  
Health Insurance ◽  
Survey Data ◽  
Insurance Coverage ◽  
Health Benefits ◽  
Union Density ◽  
Health Insurance Coverage ◽  
The United States ◽  
Health Coverage ◽  
Private Sector Union

During the past two decades, union density has declined in the United States and employer provision of health benefits has changed substantially in extent and form. Using individual survey data spanning the years 1983–97 combined with employer survey data for 1993, the authors update and extend previous analyses of private-sector union effects on employer-provided health benefits. They find that the union effect on health insurance coverage rates has fallen somewhat but remains large, due to an increase over time in the union effect on employee “take-up” of offered insurance, and that declining unionization explains 20–35% of the decline in employee health coverage. The increasing union take-up effect is linked to union effects on employees' direct costs for health insurance and the availability of retiree coverage.

France

2021 ◽  
pp. 558-589
Author(s):  
Matthias Brunn ◽  
Patrick Hassenteufel
Keyword(s):  
Health Insurance ◽  
Low Income ◽  
Public Management ◽  
New Public Management ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
National Health Insurance System ◽  
Health Politics ◽  
New Public ◽  
Unusual Combination

This chapter offers an in-depth look at health politics and the national health insurance system in France. It traces the development of the French healthcare system through its series of political regimes, characterized by its unusual combination of statism and corporatism. Since the 1990s, a technocratic consensus emerged that has led to new public management reforms, tighter parliamentary control of social security budgets, and efforts to improve coverage by subsidizing supplementary voluntary health insurance coverage for low-income persons and increasing tax-financing. Other healthcare issues have been regional health inequalities, reimbursement of medical professionals, and individuals’ responsibility for their health.

scholarly journals Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e031543 ◽  
Author(s):  
Peter O Otieno ◽  
Elvis Omondi Achach Wambiya ◽  
Shukri F Mohamed ◽  
Hermann Pythagore Pierre Donfouet ◽  
Martin K Mutua
Keyword(s):  
Health Insurance ◽  
Primary Outcome ◽  
Insurance Coverage ◽  
Scale Up ◽  
Household Head ◽  
Health Insurance Coverage ◽  
Health Coverage ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Insurance Cover

ObjectiveTo determine the prevalence of health insurance and associated factors among households in urban slum settings in Nairobi, Kenya.DesignThe data for this study are from a cross-sectional survey of adults aged 18 years or older from randomly selected households in Viwandani slums (Nairobi, Kenya). Respondents participated in the Lown scholars’ study conducted between June and July 2018.SettingThe Lown scholars’ survey was nested in the Nairobi Urban Health and Demographic Surveillance System in Viwandani slums in Nairobi, Kenya.ParticipantsA total of 300 randomly sampled households participated in the survey. The study respondents comprised of either the household head, their spouses or credible adult household members.Primary outcome measureThe primary outcome of this study was enrolment in a health insurance programme. The households were classified into two groups: those having at least one member covered by health insurance and those without any health insurance cover.ResultsThe prevalence of health insurance in the sample was 43%. Being unemployed (adjusted OR (aOR) 0.17; p<0.05; 95% CI 0.06 to 0.47) and seeking care from a public health facility (aOR 0.50; p<0.05; 95% CI 0.28 to 0.89) was significantly associated with lower odds of having a health insurance cover. The odds of having a health insurance cover were significantly lower among respondents who perceived their health status as good (aOR 0.62; p<0.05; 95% CI 1.17 to 5.66) and those who were unsatisfied with the cost of seeking primary care (aOR 0.34; p<0.05; 95% CI 0.17 to 0.69).ConclusionsHealth insurance coverage in Viwandani slums in Nairobi, Kenya, is low. As universal health coverage becomes the growing focus of Kenya’s ‘Big Four Agenda’ for socioeconomic transformation, integrating enabling and need factors in the design of the national health insurance package may scale-up social health protection.

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