scholarly journals Contribution of socioeconomic factors and health care access to the awarenesss and treatment of diabetes and hypertension among older Mexican adults

2015 ◽  
Vol 57 ◽  
pp. 6 ◽  
Author(s):  
Hiram Beltrán-Sánchez ◽  
Flávia Cristina Drumond-Andrade ◽  
Fernando Riosmena

Objective. To estimate changes in self-report and treatment of diabetes and hypertension between 2001 and 2012 among Mexican aged 50-80, assessing the contribution of education and health insurance coverage. Materials and methods. The Mexican Health and Aging Study was used to estimate associations of education and insurance on prevalence and treatment of diabetes and hypertension in 2001 and 2012. Multivariate decomposition was used to assess the contribution of changes in the composition of covariates vs. their “effects” on changes in prevalence and treatment over time. Results. Increases in the revalence/diagnosis and treatment during the period are largely attributable to the expansion of health insurance. Its effects on iagnosis/prevalence and treatment have also increased over time. Conclusions. The expansion of Seguro Popular likely improved screening and treatment. More research is needed to assess if these have translated into better control and a lower burden of disease.

2019 ◽  
Author(s):  
koku Tamirat ◽  
Zemenu Tadesse Tessema ◽  
Fentahun Bikale Kebede

Abstract Background Health care access is timely use of personal health services to achieve best health outcomes. Difficulties to access health care among reproductive age women may led to different negative health outcomes to death and disability. Therefore, this study aimed to assess factors associated with problems of accessing health care among reproductive age women in Ethiopia.Method This study was based on 2016 Ethiopia Demography and Health Survey. Individual women record (IR) file was used to extract the dataset and 15, 683 women were included in the final analysis. A composite variable of problem of accessing health care were created from four questions used to rate problem of accessing health care among reproductive age women. Generalized estimating equation (GEE) model was fitted to identify factors associated with problem of accessing health care. Crude and Adjusted odds ratio with a 95%CI computed to assess the strength of association between independent and outcome variables.Result In this study the magnitude of problem in accessing health care among reproductive age women was 69.9% of with 95%CI (69.3 to 70.7). Rural residence (AOR= 2.13, 95%CI: 1.79 to 2.53), women age 35-49 years (AOR= 1.24, 95%CI: 1.09 to 1.40), married/live together (AOR= 0.72, 95%CI: 0.64 to 0.81), had health insurance coverage (AOR=0.83, 95%CI: 0.70 to 0.95), wealth index [middle (AOR=0.75,95%CI: 0.66 to 0.85) and rich (AOR=0.47,95%CI:0.42 to 0.53)], primary education(AOR= 0.80, 95%CI: 0.73 to 0.88), secondary education (AOR= 0.57, 95%CI:0.50 to 0.64) and diploma and higher education (AOR= 0.43, 95%CI: 0.37 to 0.50) were factors associated with problem of health care access among reproductive age women.Conclusion Despite better coverage of health system, problems of health care access among reproductive age women were considerably high. Health insurance coverage, middle and rich wealth, primary and above educational level were negatively associated with problems health care access. In contrast, older age and rural residence were positively associated with problems of health care access among reproductive age women. This suggests that further interventions are necessary to increase universal reproductive health care access for the achievement of sustainable development goals.


2011 ◽  
Vol 27 (3) ◽  
pp. 204-212 ◽  
Author(s):  
E. Richardson ◽  
B. Roberts ◽  
V. Sava ◽  
R. Menon ◽  
M. McKee

1996 ◽  
Vol 7 (2) ◽  
pp. 112-121 ◽  
Author(s):  
Robert P. Treviño ◽  
Fernando M. Treviño ◽  
Rolando Medina ◽  
Gilbert Ramirez ◽  
Robert R. Ramirez

2019 ◽  
Vol 74 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Ian W Watson ◽  
Sanda Cristina Oancea

BackgroundThe influenza virus caused 48.8 million people to fall ill and 79 400 deaths during the 2017–2018 influenza season, yet less than 50% of US adults receive an annual flu vaccination (AFV). Having health insurance coverage influences whether individuals receive an AFV. The current study aims to determine if an association exists between an individual’s health plan type (HPT) and their receipt of an AFV.MethodsData from the 2017 Behavioral Risk Factor Surveillance System and the optional ‘Health Care Access’ module were used for this study. The final study sample size was 35 684. Multivariable weighted and adjusted logistic regression models were conducted to investigate the association between HPT and AFV.ResultsMedicare coverage was significantly associated with an increase in AFV for both men (adjusted OR (AOR) 1.62 (95% CI 1.28 to 2.06)) and women (AOR 1.28 (95% CI 1.00 to 1.53)). For men, other sources of coverage were also significantly positively associated with AFV (AOR 1.67 (95% CI 1.27 to 2.19)), while for women obtaining coverage on their own was significantly negatively associated with AFV (AOR 0.75 (95% CI 0.59 to 0.97)).ConclusionThese findings are of interest to health policy makers as these show there are HPTs which are effective at improving vaccination rates. Adopting methods used by these HPTs could help the USA reach its Healthy People 2020 AFV coverage goal of 70%.


Author(s):  
Charles Courtemanche ◽  
James Marton ◽  
Benjamin Ukert ◽  
Aaron Yelowitz ◽  
Daniela Zapata

Using data from the Behavioral Risk Factor Surveillance System, we examine the causal impact of the Affordable Care Act on health-related outcomes after 3 years. We estimate difference-in-difference-in-differences models that exploit variation in treatment intensity from 2 sources: (1) local area prereform uninsured rates from 2013 and (2) state participation in the Medicaid expansion. Including the third postreform year leads to 2 important insights. First, gains in health insurance coverage and access to care from the policy continued to increase in the third year. Second, an improvement in the probability of reporting excellent health emerged in the third year, with the effect being largely driven by the non-Medicaid expansions components of the policy.


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