Determinants for employer-paid health insurance coverage: a population-based study of the Danish labour force

2013 ◽  
Vol 41 (6) ◽  
pp. 597-603 ◽  
Author(s):  
Ann Christensen ◽  
Rikke Søgaard
Keyword(s):  
Health Insurance ◽  
Labour Force ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Population Based ◽  
Population Based Study

scholarly journals Effects of Type of Health Insurance Coverage on Colorectal Cancer Survival in Puerto Rico: A Population-Based Study

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96746 ◽  
Author(s):  
Karen J. Ortiz-Ortiz ◽  
Roberto Ramírez-García ◽  
Marcia Cruz-Correa ◽  
Moraima Y. Ríos-González ◽  
Ana Patricia Ortiz
Keyword(s):  
Colorectal Cancer ◽  
Puerto Rico ◽  
Health Insurance ◽  
Cancer Survival ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Population Based ◽  
Population Based Study ◽  
Colorectal Cancer Survival

scholarly journals An increase in primary care prescriptions of stop-smoking medication as a result of health insurance coverage in the Netherlands: population based study

Addiction ◽  
2013 ◽  
Vol 108 (12) ◽  
pp. 2183-2192 ◽  
Author(s):  
Marjolein E. A. Verbiest ◽  
Niels H. Chavannes ◽  
Mathilde R. Crone ◽  
Mark M. J. Nielen ◽  
Dewi Segaar ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Insurance ◽  
The Netherlands ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Population Based ◽  
Population Based Study ◽  
Stop Smoking

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>

scholarly journals Acceptability, feasibility and implementation of a web-based U.S. Health Insurance Navigation Tool (HINT)

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Caiwei Zheng ◽  
Alberto J. Caban-Martinez
Keyword(s):  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Healthcare Services ◽  
Population Based ◽  
Web Tool ◽  
Web Based ◽  
Survey Tool ◽  
Navigation Tool ◽  
The Web

Abstract Objective In the U.S., health insurance is a crucial determinant of the affordability of healthcare services and access to care. Population-based studies indicate Americans do not have an adequate understanding of their insurance plans and face difficulties navigating their health insurance coverage. The purpose of this pilot study is to collect qualitative data using a key informant interview format to learn about the acceptability, feasibility and implementation of a newly devised online health insurance navigation tool (HINT). Results A total of 57 Florida residents completed the 18-item HINT web-based survey tool and provided feedback on their experience, of which 63.2% were women, 40.7% Black race, and had average sample age of 46.9 years. Participants reported the web tool to be of good length, easy readability, relevant, and overall helpful for insurance selection. All respondents reported that they would use the tool themselves should they find themselves in the process of selecting an insurance plan and 98.2% of respondents reported that they would suggest the web tool to a family or friend. The average time it took to complete the questionnaire was 4 min and 20 s.The HINT tool met study criteria on feasibility, implementation, and acceptability among study participants.

scholarly journals The Benefit of Health Insurance Coverage of Contraceptives in a Population-Based Sample

2004 ◽  
Vol 94 (8) ◽  
pp. 1330-1332 ◽  
Author(s):  
Ann Kurth ◽  
Marcia Weaver ◽  
David Lockhart ◽  
Lori Bielinski
Keyword(s):  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Population Based

scholarly journals Prevalence of Frailty Indicators and Association with Socioeconomic Status in Middle-Aged and Older Adults in a Swiss Region with Universal Health Insurance Coverage: A Population-Based Cross-Sectional Study

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Idris Guessous ◽  
Jean-Christophe Luthi ◽  
Christopher Barrett Bowling ◽  
Jean-Marc Theler ◽  
Fred Paccaud ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Population Based ◽  
Universal Health Insurance ◽  
Middle Aged ◽  
Universal Health Insurance Coverage ◽  
Middle Aged Adults ◽  
Universal Health

Frailty prevalence in older adults has been reported but is largely unknown in middle-aged adults. We determined the prevalence of frailty indicators among middle-aged and older adults from a general Swiss population characterized by universal health insurance coverage and assessed the determinants of frailty with a special focus on socioeconomic status. Participants aged 50 and more from the population-based 2006–2010 Bus Santé study were included (N= 2,930). Four frailty indicators (weakness, shrinking, exhaustion, and low activity) were measured according to standard definitions. Multivariate logistic regressions were used to determine associations. Overall, 63.5%, 28.7%, and 7.8% participants presented no frailty indicators, one frailty indicator, and two or more frailty indicators, respectively. Among middle-aged participants (50–65 years), 75.1%, 22.2%, and 2.7% presented 0, 1, and 2 or more frailty indicators. The number of frailty indicators was positively associated with age, hypertension, and current smoking and negatively associated with male gender, body mass index, waist-to-hip ratio, and serum total cholesterol level. Lower income level but not education was associated with higher number of frailty indicators. Frailty indicators are frequently encountered in both older and middle-aged adults from the Swiss general population. Despite universal health insurance coverage, household income is independently associated with frailty.

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.

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