scholarly journals Prevalence of Self-Reported Chronic Diseases and Health Services Utilization by Ethnic Minorities in Manaus Metropolitan Region

2018 ◽  
Vol 28 (1) ◽  
pp. 49 ◽  
Author(s):  
Raquel Rodrigues Ferreira Rocha de Alencar ◽  
Tais Freire Galvao ◽  
Bruno Vianei Real Antonio ◽  
Marcus Tolentino Silva
Keyword(s):  
Health Insurance ◽  
Chronic Diseases ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Population Based ◽  
Metropolitan Region ◽  
Care Utilization ◽  
Cross Sectional ◽  
Probabilistic Sampling ◽  
Significant Difference

<p class="Pa8"><strong>Objectives: </strong>To assess the prevalence of, and associated factors to, self-reported chronic diseases and health care utilization by eth­nicity in the Manaus Metropolitan Region.</p><p class="Pa8"><strong>Methods: </strong>We conducted a cross-sectional, population-based survey from May through August 2015. Using probabilistic sampling in three stages, we recruited adults aged ≥18 years. Ethnicity was self-identified as White, Black, Yellow, Brown (Brazilian mixed-race), and Indigenous. We calculated adjusted prevalence ratios (PR) and 95% CI of chronic diseases and health service utiliza­tion for each ethnic minority and compared the data using Poisson regression with data from White respondents.</p><p class="Pa8"><strong>Results: </strong>In this study, we interviewed 4,001 people. Of these, 15.9% were White, 7.5% Black, 3.4% Yellow, 72.1% Brown, and 1.0% Indigenous. Indigenous respondents had the highest prevalence of self-reported hypertension (29.4%), diabetes (12.3%) and hypercholesterolemia (17.0%) among the ethnic respondent groups. Compared with the White population, Browns had less health insurance coverage (PR=.76; 95% CI: .62-.93) and reported hypertension (PR=.84; 95% CI: .72-0.98) and diabetes (PR=.69; 95% CI: .51-.94) less frequently. Yellows visited the doctor more frequently than Whites (PR=1.13; 95% CI: 1.04-1.22), with no significant difference in prevalence of diseases.</p><p class="Default"><strong>Conclusions: </strong>Indigenous respondents had higher prevalence rates of the investigated diseases. Compared with Whites, Brown respondents had lower rates of self-reported arterial hypertension and diabetes, as well as lower rates of private health insurance coverage.</p><p class="Default"><em>Ethn Dis. </em>2018;28(1):49-54; doi:10.18865/ed.28.1.49</p>

PARTICIPATING IN HEALTH INSURANCE AND FACTORS AFFECTING AMONG PERSONS WHOSE ENROLMENT IS VOLUNTARY IN THUA THIEN HUE PROVINCE

2015 ◽  
pp. 89-95
Author(s):  
Thi Hoai Thuong Nguyen ◽  
Hoang Lan Nguyen ◽  
Mau Duyen Nguyen
Keyword(s):  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Health Insurance Scheme ◽  
Insurance Scheme ◽  
Cross Sectional ◽  
Factors Affecting ◽  
The People ◽  
Universal Health Insurance Coverage ◽  
The Social

Background:To provide information helps building policy that meets the practical situation and needs of the people with the aim at achieving the goal of universal health insurance coverage, we conducted this study with two objectives (1) To determine the rate of participating health insurance among persons whose enrolment is voluntary in some districts of ThuaThien Hue province; (2) To investigate factor affecting their participation in health insurance. Materials and Methodology:A cross-sectional descriptive study was conducted in three districts / towns / city of ThuaThien Hue in 2014. 480 subjects in the voluntary participation group who were randomly selected from the study settings were directly interviewed to collect information on the social, economic, health insurance participation and knowledge of health insurance. Test χ2 was used to identify factors related to the participation in health insurance of the study subjects. Results:42.5% of respondents were covered by health insurance scheme. Factors related to their participation were the resident location (p = 0.042); gender (p = 0.004), age (p <0.001), chronic disease (p <0.001), economic conditions (p<0.001) and knowledge about health insurance (p <0.001). Conclusion: The rate of participating health insurance among study subjects was low at 42,5%. There was "adverse selection" in health insurance scheme among voluntary participating persons. Providing knowledge about health insurance should be one of solutions to improve effectively these problems. Key words: Health insurance, voluntary, Thua Thien Hue

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.

scholarly journals Private health insurance coverage-related lawsuits

2020 ◽  
Vol 73 (3) ◽  
Author(s):  
Ana Beatriz Perez Afonso ◽  
Mayra Gonçalves Menegueti ◽  
Thamiris Ricci de Araújo ◽  
Lucieli Dias Pedreschi Chaves ◽  
Ana Maria Laus
Keyword(s):  
Health Insurance ◽  
Private Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Medical Procedures ◽  
Cross Sectional ◽  
Positron Emission ◽  
Percutaneous Rhizotomy ◽  
Using Data ◽  
National Regulatory Agency

ABSTRACT Objectives: to analyze lawsuits brought by beneficiaries of health insurance operators. Methods: this was a cross-sectional descriptive study carried out in a large-capacity private health insurance operator using data collected by the company from 2012 to 2015. Results: ninety-six lawsuits were brought by 86 beneficiaries regarding medical procedures (38.5%), treatments (26.1%), examinations (14.6%), medications (9.4%), home care (6.2%), and other types of hospitalization (5.2%). The procedures with the highest number of lawsuits were percutaneous rhizotomy; chemotherapy; treatment-related positron-emission tomography scans; and for medications relative to antineoplastic and Hepatitis C treatment. Conclusions: the lawsuits were filed because of the operators’ refusal to comply with items not established in contracts or not regulated and authorized by the Brazilian National Regulatory Agency for Private Health Insurance and Plans, refusals considered unfounded.

Understanding Subnational Variation in Chinese Social Health Insurance

2020 ◽  
pp. 134-159
Author(s):  
Xian Huang
Keyword(s):  
Health Insurance ◽  
Insurance Coverage ◽  
Social Health Insurance ◽  
Health Insurance Coverage ◽  
Social Health ◽  
Cross Sectional ◽  
Insurance Benefits ◽  
Social Risks ◽  
Political Economies ◽  
Regional Comparisons

Chapter 6 investigates the coverage and generosity of Chinese social health insurance in the first decade of the 2000s, with a focus on the regional (i.e., cross-provincial) variation using a cross-sectional time-series research design. First, a cluster analysis provides supportive evidence for the existence of four models of social health insurance expansion in China. The clustering of Chinese provinces in social health insurance expansion also corresponds to the differences among local political economies. Second, the chapter makes detailed inter-regional comparisons and intra-regional studies to reconstruct the mechanism linking a local political economy to the local distributive patterns of health insurance benefits—that is, local socioeconomic conditions shape local leaders’ policy preferences and choices for allocating social health insurance benefits in their jurisdictions. Finally, a regression analysis demonstrates significant correlations between local social risks and social health insurance coverage, and between local fiscal resources and social health insurance generosity.

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