Rohrer, James E.

Background: Breast cancer (BC) remains one of the top causes of cancer-related deaths in women in the United States, and little is known about the differences in access to health care between military and civilians. This study compared the differences in access to health care between military and civilian female patients with BC. In particular, this study examined whether patients with BC, in an equal access health care system such as the military, are diagnosed at an earlier stage of disease process in comparison to the patients with BC in the civilian health care system. Methods: Independent variables included military versus civilian care and demographic variables. Dependent variable was the stage of cancer at diagnosis. This cross-sectional study of 2 groups included data from 2198 women with BC (439 military and 1759 civilian) for years 2004 through 2008. Multiple logistic regression was used to analyze the data. Results: There was no difference in the early BC stage (0, I, and II) diagnosis prevalence rate between the military and the civilian groups (95% confidence interval [CI], P = .15). The logistic regression analysis indicated that both the health systems had equal performance with respect to the stage at diagnosis indicator but found that black patients had higher odds of being in the late stage (III and IV) BC group at diagnosis (1.62 OR, 1.14-2.30 CI, P = .0068) than white patients. Conclusions: Although no difference was found between the performance of the 2 health systems in the early (0, I, and II) versus late stage (III and IV) at diagnosis indicator, this study further confirms the existence of racial disparities in late-stage BC regardless of whether the patient was diagnosed in the civilian or military health system. More research is needed to further investigate the potential explanations of racial disparities other than just differences in access to health care.

The purpose of this study was to determine if there was an association between care coordination, family-centered care, and functional ability among children with special health care needs (CSHCN). Analysis of data from the 2005–2006 National Survey of CSHCN revealed that the percentages of CSHCN receiving care coordination and family-centered care were 59.3 and 66.3, respectively. Children who did not receive care coordination had a 53% higher adjusted odds (odds ratio=1.53, 95% confidence interval 1.21–1.94, P <0.001) for a limitation in functional ability compared to CSHCN who received care coordination. Family-centered care was not associated with a limitation in functional ability in CSHCN ( P =0.61). CSHCN are underserved with regard to care coordination and this appears to be associated with impaired functional ability. Longitudinal studies are needed to confirm causality. ( Population Health Management 2014;17:233–238)

Background and Objectives: Online university students are a growing population whose health has received minimal attention. The purpose of this cross-sectional Internet survey was to identify risk factors for the health status among online university students. Methods: This online survey collected data from 301 online university students through a large, US-based participant pool and LinkedIn. Health status was measured using 3 elements of health-related quality of life (HRQOL): self-rated overall health (SRH), unhealthy days, and recent activity limitation days. All 3 measures were dichotomized. Results: The odds of poor SRH were higher for people who reported a body mass index in the overweight and obese categories (odds ratio [OR] = 2.99, P < .05) and for those who reported being smokers (OR = 2.52, P = .03). The odds of frequent unhealthy days were lower for those who made more than $35 000 compared with those who reported making less (OR = 0.50, P = .03) and those who exercised 4 or more times a week compared with those who exercised less (OR = 0.28, P < .05). The odds of frequent activity limitation were lower for those who reported an income of more than $35 000 (OR = 0.29, P = .04) and higher for persons who reported belonging to “other” race (OR = 14.75, P = .00). Conclusions: Universities might fruitfully target health promotion programs for online students who are low income, in disadvantaged racial groups, who are overweight, smoke, and who do not exercise.

Depression symptoms contribute to significant morbidity and health care utilization. The aim of this study was to determine the impact of symptom improvement (to remission) on outpatient clinical visits by depressed primary care patients. This study was a retrospective chart review analysis of 1733 primary care patients enrolled into collaborative care management (CCM) or usual care (UC) with 6-month follow-up data. Baseline data (including demographic information, clinical diagnosis, and depression severity) and 6-month follow-up data (Patient Health Questionnaire scores and the number of outpatient visits utilized) were included in the data set. To control for individual patient complexity and pattern of usage, the number of outpatient visits for 6 months prior to enrollment also was measured as was the presence of medical comorbidities. Multiple logistic regression analysis demonstrated that clinical remission at 6 months was an independent predictor of outpatient visit outlier status (>8 visits) (odds ratio [OR] 0.609, confidence interval (CI) 0.460–0.805, P <0.01) when controlling for all other independent variables including enrollment into CCM or UC. The OR of those patients not in remission at 6 months having outpatient visit outlier status was the inverse of this at 1.643 (CI 1.243–2.173). The most predictive variable for determining increased outpatient visit counts after diagnosis of depression was increased outpatient visits prior to diagnosis (OR 4.892, CI 3.655–6.548, P <0.01). In primary care patients treated for depression, successful treatment to remission at 6 months decreased the likelihood of the patient having more than 8 visits during the 6 months after diagnosis. ( Population Health Management 2014;17:180–184)

Background: The inclusion of mental health issues in the evaluation of multimorbidity generally has been as the presence or absence of the condition rather than severity, complexity, or stage. The hypothesis for this study was that clinical outcome of the depression 6 months after enrollment into collaborative care management would have a role in predicting future complexity of care tier. Methods: This study was a retrospective chart review of 1894 primary care patients who were diagnosed with major depressive disorder or dysthymia as of December 2012. Multiple logistic regression analysis was used to test the independent associations between each variable and the odds of being included in the higher tiers (HT) group. Results: Age (odds ratio [OR] = 1.022, confidence interval [CI] = 1.013-1.030, P < .001), female gender (OR = 1.380, CI = 1.020-1.868, P = .037), being married (OR = 0.730, CI = 0.563-0.947, P = .018), and the presence of comorbidities (1, OR = 1.986, CI = 1.485-2.656, P < .001; ≥2, OR = 4.678, CI = 3.242-6.750, P < .001) were independently associated with future HT levels. The presence of persistent depressive symptoms (PHQ-9 ≥10) at 6 months conferred 2.280 (CI = 1.673-3.107, P < .001) times likely odds of HT level compared with clinical remission at 6 months. Conclusion: Patients with the diagnosis of major depression or dysthymia had greater odds of complex tier levels in the future, if depression was not treated to remission by 6 months. This study demonstrated the importance of the goal of significant improvement (ie, remission) of depression symptoms by 6 months (especially those older patients with more comorbidity) from entering into the higher complexity tiers.

Collaborative care management (CCM) for depression has been demonstrated to improve clinical outcomes. The impetus for this study was to determine if outpatient utilization patterns would be associated with depression outcomes. The hypothesis was that depression remission would be independently correlated with outpatient utilization at 6 and 12 months after enrollment into CCM. The study was a retrospective chart review analysis of 773 patients enrolled into CCM with 6- and 12-month follow-up data. The data set comprised baseline demographic data, patient intake self-assessment scores (Patient Health Questionnaire [PHQ-9], Generalized Anxiety Disorder-7, Mood Disorder Questionnaire, and Alcohol Use Disorders Identification Test), the number of outpatient visits, and follow-up PHQ-9 scores. To control for individual patient complexity and pattern of usage, the number of outpatient visits for 6 months prior to enrollment also was measured. With a logistic regression model for outpatient visit outlier status as the dependent variable, remission at 6 months (odds ratio [OR] 0.519, CI [confidence interval] 0.349–0.770, P =0.001) and remission at 12 months (OR 0.573, CI 0.354–0.927, P =0.023) were predictive. With this inverse relationship between remission and outlier status, those patients who were not in remission had an OR of 1.928 for outpatient visit outlier status at 6 months after enrollment and an OR of 1.745 at 12 months. Patients who improved clinically to remission while in CCM had decreased odds of outlier status for outpatient utilization at 6 and 12 months when controlling for all other study variables. Improvement in health care outcomes by CCM could translate into decreased outpatient utilization for depressed patients. ( Population Health Management 2014;17:48–53)