scholarly journals What Prevents Men Aged 40–64 Years from Prostate Cancer Screening in Namibia?

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Joseph Kangmennaang ◽  
Paul Mkandawire ◽  
Isaac Luginaah

Objectives. Although a growing body of evidence demonstrates the public health burden of prostate cancer in SSA, relatively little is known about the underlying factors surrounding the low levels of testing for the disease in the context of this region. Using Namibia Demographic Health Survey dataset (NDHS, 2013), we examined the factors that influence men’s decision to screen for prostate cancer in Namibia.Methods. We use complementary log-log regression models to explore the determinants of screening for prostate cancer. We also corrected for the effect of unobserved heterogeneity that may affect screening behaviours at the cluster level.Results. The results show that health insurance coverage (OR = 2.95,p=0.01) is an important predictor of screening for prostate cancer in Namibia. In addition, higher education and discussing reproductive issues with a health worker (OR = 2.02,p=0.05) were more likely to screening for prostate cancer.Conclusions. A universal health insurance scheme may be necessary to increase uptake of prostate cancer screening. However it needs to be acknowledged that expanded screening can have negative consequences and any allocation of scarce resources towards screening must be guided by evidence obtained from the local context about the costs and benefits of screening.

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Joseph Kangmennaang ◽  
Isaac Luginaah

Objectives.Although research demonstrates the public health burden of prostate cancer among men in the Caribbean, relatively little is known about the factors that underlie the low levels of testing for the disease among this population.Study Design.A cross-sectional study of prostate cancer testing behaviours among men aged 40–60 years in Dominican Republic using the Demographic and Health Survey (2013).Methods.We use hierarchical binary logit regression models and average treatment effects combined with propensity score matching to explore the determinants of prostate screening as well as the average effect of health insurance coverage on screening. The use of hierarchical binary logit regression enabled us to control for the effect of unobserved heterogeneity at the cluster level that may affect prostate cancer testing behaviours.Results.Screening varied significantly with health insurance coverage, knowledge of cholesterol level, education, and wealth. Insured men were more likely to test for prostate cancer (OR = 1.65,p=0.01) compared to the uninsured.Conclusions.The expansion and restructuring of Dominican Republic universal health insurance scheme to ensure equity in access may improve health access that would potentially impact positively on prostate cancer screening among men.


Medical Care ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jiren Sun ◽  
Marcelo Coca Perraillon ◽  
Rebecca Myerson

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 122-122
Author(s):  
Daniel Pucheril ◽  
Matthew D. Ingham ◽  
Dimitar V. Zlatev ◽  
Sebastian Berg ◽  
Matthew Mossanen ◽  
...  

122 Background: Despite increasing societal acceptance of non-heterosexual persons, sexual minorities continue to face discrimination. The effect of non-heterosexual orientation on adoption of cancer preventive services, particularly prostate cancer screening (PSAS), is not clearly known. We hypothesize that male sexual minorities are less likely to receive PSAS compared to heterosexual (HTS) males. Methods: The 2014-16 Behavioral Risk Factor Surveillance System was queried for males 40-69, without a history of prostate cancer, and having answered all sexual orientation (SO) questions. PSAS occurred if a respondent had a PSA test within the last two years for reasons other than “a prostate problem” or “for prostate cancer”. Descriptive statistics were generated for demographic covariates stratified by year and SO [HTS, homosexual (HMS), bisexual (BIS), transgender (TGR), other, and refused]. The Chi-Square test was used to compare the distribution of covariate proportions amongst SO categories within each year. Multivariable regression was used to determine the independent effect of SO and other covariates on receipt of PSAS in this cohort. Results: A weighted 49.2 million individuals (n = 86,893) met inclusion criteria. In 2014 and 2016, 94% and 93% of the cohort identified as HTS. In both years, a higher proportion of HMS (2014: 40.5%, 2016: 47.4) and BIS (2014: 30.3%, 2016: 31.0%) respondents were college graduates compared to HTS males (2014: 28.8%, 2016: 28.9%). In 2014, rates of PSAS were higher amongst HMS (34.9%), BIS (37.1%) and TGR (37.5%) individuals compared to HTS individuals (34.5%). In 2016, rates of PSAS were clinically similar among HTS (30.4%), HMS (30.2%), BIS (30.1%), and TGR (27.8%) individuals. In the multivariable analysis, increasing age (65-69 OR 8.93, 95%CI 7.80-10.22) and education level (College Graduate OR 2.21, 95%CI 1.93-2.54) along with insurance coverage (OR 2.15, 95%CI 1.85-2.51) and a personal physician (OR 2.88, 95%CI 2.59-3.20) were associated with higher odds of PSAS. Aside from HMS orientation (OR 1.30, 95%CI 1.04-1.62), SO was not an independent predictor of PSAS. Conclusions: Based on this nationally representative sample, disparities in regards to PSAS are not apparent for non-HTS males.


Cancer ◽  
2012 ◽  
Vol 118 (24) ◽  
pp. 6217-6225 ◽  
Author(s):  
Patricia A. Carney ◽  
Jean O'Malley ◽  
David I. Buckley ◽  
Motomi Mori ◽  
David A. Lieberman ◽  
...  

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 141-141 ◽  
Author(s):  
Daniel Pucheril ◽  
Dimitar V. Zlatev ◽  
Matthew Mossanen ◽  
Alexander P Cole ◽  
Matthew D. Ingham ◽  
...  

141 Background: A key provision of the Affordable Care Act (ACA) was the expansion of Medicaid to childless adults living < 138% of the federal poverty level (FPL). Aside from a few early expansion states, the majority of states adopting the provision expanded coverage in January 2014, and are categorized as late expansion states (LES). Non-expansion states (NES) opposed expansion and did not adopt these broader provisions. Our objective was to determine the effects of this policy change on prostate cancer screening (PSAS) trends in LES and NES. Methods: The 2014 and 2016 Behavioral Risk Factor Surveillance System surveys reflect 2013 and 2015 health behaviors, and were queried for men 40-64, without history of prostate cancer, with a household income < 138% FPL, and residing in NES or LES. Descriptive statistics, stratified by expansion status and year, were generated for covariates. The Chi-Square test was used to compare proportions between years within state categories. Difference-in-differences (DID) analyses were employed to compare trends in men with health insurance, a personal physician, and undergoing PSAS. Within a multivariable logistic regression model, the interaction term year*state expansion status was used to determine the significance of DID estimates. Results: A weighted 8.8 million (n = 14,979) men met inclusion criteria. PSAS significantly declined from 2014 to 2016 in both NES (22.6% to 16.4%, p = 0.0006) and LES (20.5% to 15.8%, p = 0.003). In LES, the proportion of men with health insurance significantly increased from 2014 to 2016 (75.5% to 82.7%, p = 0.0002), however the proportion of insured men in NES was constant. Additionally, the proportion of respondents with a personal physician was unchanged from 2014 to 2016 in both NES and LES. DID analysis determined a significant difference in health insurance trends between 2014 and 2016 for LES compared to NES (+6.9%, p = 0.008). DID estimates were not significant for comparisons of trends for PSAS or access to a personal physician. Conclusions: The ACA’s Medicaid expansion provision has led to significant gains in insurance coverage for eligible persons in LES compared to NES, however, these gains have not translated into significantly different rates of access to a personal physician or PSAS.


2020 ◽  
Vol 14 (1) ◽  
pp. 123-130
Author(s):  
Michael A. Preston ◽  
Levi Ross ◽  
Askar Chukmaitov ◽  
Sharla A. Smith ◽  
Michelle L. Odlum ◽  
...  

2009 ◽  
Vol 12 (2) ◽  
Author(s):  
Kandice A. Kapinos

This study examines the changing relationship between spousal health insurance coverage and labor market outcomes for married women over time as healthcare costs have increased. In particular, I investigate how husbands' health insurance coverage offers affect wives' decisions to enter the labor force and work full-time and how this has changed over time. I endeavor to correct for potential biases of these effects by 1) using an instrumental variables model to deal with endogeneity and 2) estimating and netting out likely unobserved heterogeneity biases, such as assortative mating or income effects. Using Current Population Survey data from 1995 to 2005, I find that husbands' employer-provided health insurance coverage has a negative effect on wives' labor supply that has increased (become more negative) over time.


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