Retirement and Medical Benefits: Who Has Both?

[Excerpt] Employee compensation packages commonly include both wages and benefits. For decades, employee benefits have been used as part of the total compensation package to attract and retain highly qualified workers. Just as workers in various occupations receive different levels of pay, they also receive access to different types and combinations of employee benefits. This article uses March 2012 National Compensation Survey (NCS) data to examine private industry workers’ access to medical benefits, retirement benefits, and combinations of the two benefits, by major occupation group, wage category, part-time and full-time status, union and nonunion status, and establishment size. The study finds notable differences in the patterns of access to medical and retirement benefits—separately, and in combination—among the various worker groups

Depression and All‐Cause Mortality in Persons with Diabetes Mellitus: Are Older Adults at Higher Risk? Results from the Translating Research Into Action for Diabetes Study

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/107493/1/jgs12833.pd

The Association of Depression and the Cardiovascular Risk Factors of Blood Pressure, HbA1c, and Body Mass Index among Patients with Diabetes: Results from the Translating Research into Action for Diabetes Study.

Diabetic patients are nearly three times as likely to have depression as their nondiabetic counterparts. Patients with diabetes are already at risk for poor cardiovascular health. Using cross-sectional data from the translating research into action for diabetes (TRIAD) study, the authors tested the association of depression with cardiovascular risk factors in diabetic patients. Depression was measured using the patient health questionnaire (PHQ8). Patients who scored greater than 9 on the PHQ8 were classified as depressed and were compared with those who were not depressed (n = 2,341). Depressed patients did not have significantly different blood pressure levels than those who were not depressed. However, those who were depressed had higher HbA1c levels than those who were not depressed (P < 0.01) and higher BMIs than those who were not depressed (P < 0.01). These results indicate that depressed diabetic patients are at greater risk of having poor control of cardiovascular risk factors and suggest that depression screening should be a standard practice among this patient group

Optimizing enrollment in employer health programs: a comparison of enrollment strategies in the Diabetes Health Plan.

BackgroundMany health programs struggle with low enrollment rates.ObjectivesTo compare the characteristics of populations enrolled in a new health plan when employer groups implement voluntary versus automatic enrollment approaches.Study designWe analyzed enrollment rates resulting from 2 different strategies: voluntary and automatic enrollment. We used regression modeling to estimate the associations of patient characteristics with the probability of enrolling within each strategy. The subjects were 5014 eligible employees from 11 self-insured employers who had purchased the Diabetes Health Plan (DHP), which offers free or discounted copayments for diabetes related medications, testing supplies, and physician visits. Six employers used voluntary enrollment while 5 used automatic enrollment. The main outcome of interest was enrollment into the DHP. Predictors were gender, age, race/ethnicity, dependent status, household income, education level, number of comorbidities, and employer group.ResultsOverall, the proportion of eligible members who were enrolled within the automatic enrollment strategy was 91%, compared with 35% for voluntary enrollment. Income was a significant predictor for voluntary enrollment but not for automatic enrollment. Within automatic enrollment, covered dependents, Hispanics, and persons with 1 nondiabetes comorbidity were more likely to enroll than other subgroups. Employer group was also a significant correlate of enrollment. Notably, all demographic groups had higher DHP enrollment rates under automatic enrollment than under voluntary enrollment.ConclusionsFor employer-based programs that struggle with low enrollment rates, especially among certain employee subgroups, an automatic enrollment strategy may not only increase the total number of enrollees but may also decrease some enrollment disparities

Optimizing enrollment in employer health programs: a comparison of enrollment strategies in the Diabetes Health Plan.

BackgroundMany health programs struggle with low enrollment rates.ObjectivesTo compare the characteristics of populations enrolled in a new health plan when employer groups implement voluntary versus automatic enrollment approaches.Study designWe analyzed enrollment rates resulting from 2 different strategies: voluntary and automatic enrollment. We used regression modeling to estimate the associations of patient characteristics with the probability of enrolling within each strategy. The subjects were 5014 eligible employees from 11 self-insured employers who had purchased the Diabetes Health Plan (DHP), which offers free or discounted copayments for diabetes related medications, testing supplies, and physician visits. Six employers used voluntary enrollment while 5 used automatic enrollment. The main outcome of interest was enrollment into the DHP. Predictors were gender, age, race/ethnicity, dependent status, household income, education level, number of comorbidities, and employer group.ResultsOverall, the proportion of eligible members who were enrolled within the automatic enrollment strategy was 91%, compared with 35% for voluntary enrollment. Income was a significant predictor for voluntary enrollment but not for automatic enrollment. Within automatic enrollment, covered dependents, Hispanics, and persons with 1 nondiabetes comorbidity were more likely to enroll than other subgroups. Employer group was also a significant correlate of enrollment. Notably, all demographic groups had higher DHP enrollment rates under automatic enrollment than under voluntary enrollment.ConclusionsFor employer-based programs that struggle with low enrollment rates, especially among certain employee subgroups, an automatic enrollment strategy may not only increase the total number of enrollees but may also decrease some enrollment disparities

Depression and all-cause mortality in persons with diabetes mellitus: are older adults at higher risk? Results from the Translating Research Into Action for Diabetes Study.

ObjectivesTo compare the strength of the association between depression and mortality between elderly and younger individuals with diabetes mellitus.DesignA survival analysis conducted in a longitudinal cohort study of persons with diabetes mellitus to test the association between depression and mortality in older (≥ 65) and younger (18-65) adults.SettingManaged care.ParticipantsPersons aged 18 and older with diabetes mellitus who participated in the Wave 2 survey of the Translating Research Into Action for Diabetes (TRIAD) Study (N = 3,341).MeasurementsThe primary outcome was mortality risk, which was measured as days until death using linked data from the National Death Index. Depression was measured using the Patient Health Questionnaire.ResultsAfter controlling for age, sex, race and ethnicity, income, and other comorbidities, mortality risk in persons with diabetes mellitus was 49% higher in those with depression than in those without, although results varied according to age. After controlling for the same variables, mortality risk in persons aged 65 and older with depression was 78% greater than in those without. For those younger than 65, the effect of depression on mortality was smaller and not statistically significant.ConclusionThis analysis suggests that the effect of depression on mortality in persons with diabetes mellitus is most significant for older adults. Because there is evidence in the literature that treatment of depression in elderly adults can lead to lower mortality, these results may suggest that older adults with diabetes mellitus should be considered a high-priority population for depression screening and treatment