scholarly journals Psychometric investigation of benefit finding among long-term cancer survivors using the Medical Expenditure Panel Survey

2016 ◽  
Vol 20 ◽  
pp. 31-35 ◽  
Author(s):  
Salene M.W. Jones ◽  
Rebecca Ziebell ◽  
Rod Walker ◽  
Larissa Nekhlyudov ◽  
Borsika A. Rabin ◽  
...  
2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 30-30
Author(s):  
Jeffrey Sullivan ◽  
Julia Thornton Snider ◽  
Emma van Eijndhoven ◽  
Katharine Batt ◽  
Tony Okoro ◽  
...  

30 Background: While numerous studies have examined the outcomes of individuals recently diagnosed with cancer, less is known about the well-being of long-term (LT) cancer survivors. Methods: Using the Health and Retirement Study (HRS), a nationally representative survey of US residents over age 50, we defined four cohorts: US residents over age 50, individuals recently diagnosed with cancer (≤4 years from diagnosis), LT cancer survivors (>4 years from diagnosis) and individuals with a chronic condition (diabetes, heart disease, hypertension, lung disease or prior stroke). We compared well-being measures across cohorts. We imputed total medical spending using the Medical Expenditure Panel Survey and the Medicare Current Beneficiary Survey. Results: We identified 22,034 US residents over age 50; 754 individuals recently diagnosed with cancer; 1,764 LT survivors; and 12,874 individuals with chronic illness. Over the biannual survey waves from 2004-2012, this amounted to 22,034; 3,880; 8,480; and 57,363 person-years, respectively. (The 50+ cohort was analyzed in 2010, the most recent year in which the HRS was nationally representative.) Given the large samples, most differences between LT survivors and other cohorts were statistically significant (p<0.05). However, LT survivors’ outcomes were often closer to those of individuals with chronic illness than to the recently diagnosed. Earnings if employed of the recently diagnosed and self-reported health of the chronically ill were not significantly different from LT survivors. Conclusions: Although cancer has a negative impact on well-being in the short term, over time cancer survivors’ well-being improves, becoming more similar to that of individuals with a chronic condition. [Table: see text]


Author(s):  
Janet S de Moor ◽  
Erin E Kent ◽  
Timothy S McNeel ◽  
Katherine S Virgo ◽  
Jennifer Swanberg ◽  
...  

Abstract The national prevalence of employment changes after a cancer diagnosis has not been fully documented. Cancer survivors who worked for pay at or since diagnosis (n = 1490) were identified from the 2011, 2016, and 2017 Medical Expenditure Panel Survey and Experiences with Cancer supplement. Analyses characterized employment changes due to cancer and identified correlates of those employment changes. Employment changes were made by 41.3% (95% confidence interval [CI] = 38.0% to 44.6%) of cancer survivors, representing more than 3.5 million adults in the United States. Of these, 75.4% (95% CI = 71.3% to 79.2%) took extended paid time off and 46.1% (95% CI = 41.6% to 50.7%) made other changes, including switching to part-time or to a less demanding job. Cancer survivors who were younger, female, non-White, or multiple races and ethnicities, and younger than age 20 years since last cancer treatment were more likely to make employment changes. Findings highlight the need for patient-provider communication about the effects of cancer and its treatment on employment.


2019 ◽  
Vol 129 ◽  
pp. 105881 ◽  
Author(s):  
Cassie L. Odahowski ◽  
Whitney E. Zahnd ◽  
Anja Zgodic ◽  
Jean S. Edward ◽  
Lauren N. Hill ◽  
...  

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 45
Author(s):  
Emilio Gómez-Déniz ◽  
Enrique Calderín-Ojeda

We jointly model amount of expenditure for outpatient visits and number of outpatient visits by considering both dependence and simultaneity by proposing a bivariate structural model that describes both variables, specified in terms of their conditional distributions. For that reason, we assume that the conditional expectation of expenditure for outpatient visits with respect to the number of outpatient visits and also, the number of outpatient visits expectation with respect to the expenditure for outpatient visits is related by taking a linear relationship for these conditional expectations. Furthermore, one of the conditional distributions obtained in our study is used to derive Bayesian premiums which take into account both the number of claims and the size of the correspondent claims. Our proposal is illustrated with a numerical example based on data of health care use taken from Medical Expenditure Panel Survey (MEPS), conducted by the U.S. Agency of Health Research and Quality.


2013 ◽  
Vol 8 (1) ◽  
pp. 82-90 ◽  
Author(s):  
Geraldine Pierre ◽  
Roland J. Thorpe ◽  
Gniesha Y. Dinwiddie ◽  
Darrell J. Gaskin

This article sought to determine whether racial disparities exist in psychotropic drug use and expenditures in a nationally representative sample of men in the United States. Data were extracted from the 2000-2009 Medical Expenditure Panel Survey, a longitudinal survey that covers the U.S. civilian noninstitutionalized population. Full-Year Consolidated, Medical Conditions, and Prescribed Medicines data files were merged across 10 years of data. The sample of interest was limited to adult males aged 18 to 64 years, who reported their race as White, Black, Hispanic, or Asian. This study employed a pooled cross-sectional design and a two-part probit generalized linear model for analyses. Minority men reported a lower probability of psychotropic drug use (Black = −4.3%, 95% confidence interval [CI] = [−5.5, −3.0]; Hispanic = −3.8%, 95% CI = [−5.1, −2.6]; Asian = −4.5%, 95% CI = [−6.2, −2.7]) compared with White men. After controlling for demographic, socioeconomic, and health status variables, there were no statistically significant race differences in drug expenditures. Consistent with previous literature, racial and ethnic disparities in the use of psychotropic drugs present problems of access to mental health care and services.


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