Angstman, Kurt B.

AbstractRationale, aims and objectivesThe impact of seasonal variation on clinical remission in patients with depression has not been well studied. The hypothesis for this study was that the clinical remission rate would be lower in the winter comparing to the other seasons, specifically evaluated by gender.MethodsThe study cohort comprised 2873 primary care patients with depression as a longitudinal retrospective chart review analysis. The sample was limited to patients who were continuing in care; dropouts were excluded from the analysis.ResultsMultivariate logistic regression analysis of the independent variables for those participants who achieved clinical remission demonstrated that for the male patients, the season of diagnosis did not impact the rate of remission at 6 months while controlling for all other independent variables. For female patients, those that were diagnosed with depression in the fall had increased likelihood of 6‐month remission compared with those patients diagnosed in the winter months (OR 1.300, CI 1.006–1.680, P = 0.045) and the spring and summer patients were not significantly different in their outcome rates. When both genders were combined, the odds of remission at 6 months were not statistically significant for any season of diagnosis.ConclusionsThis study demonstrates that in patients who were continuing care, women who were diagnosed with major depression or dysthymia in the fall season have improved 6‐month clinical outcome of remission compared with those women diagnosed in the winter, when controlling for demographic and clinical characteristics. This effect was not seen in men or when the genders were combined into a single cohort. The assessment of the seasonality effect on depression outcomes requires further long‐term follow‐up studies.

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.

AbstractAims and objectivesThe aim of this study was to assess the impact of historical screening compliance with the effectiveness of patient reminder letters on cervical cancer screening rates.MethodUsing population‐based informatics systems, women with no cervical cancer screening in the prior 3 years were identified in two primary care clinics, Mayo Family Clinic Northeast (NE; n = 1613) and Northwest (NW; n = 1088). Patients were divided into two compliance groups: overdue/unknown screening status at study start or previously compliant. The NE Clinic sent reminder letters over a 6 months window to patients eligible for screening at the study start or during the study that were also identified as employees/dependents (E/D). There were 795 intervention (NE Clinic E/D patients) and 1906 control subjects. Using an intent‐to‐treat analysis, differences in screening rates were assessed.ResultsA higher unadjusted screening rate was observed for the E/D group than the non‐E/D group at both sites (32.7 versus 18.2% at NW, P < 0.001; 39.0 versus 14.7% at NE, P < 0.001). For the historically compliant group, unadjusted screening rates were higher for those who received letters (E/D subjects at NE) versus those who did not (E/D subjects at NW; 56.1 versus 44.5%, P = 0.01). No difference was observed between E/D subjects at NE (received letters) and NW (no letters) for the overdue/unknown group (27.4 versus 25.9%, P = 0.62). There was no difference in screening rates for non‐E/D subjects at NE versus at NW (none of whom received letters) for both the compliant (24.2 versus 30.6%, P = 0.18) and the overdue/unknown groups (11.9 versus 13.0%, P = 0.59). Multivariate logistic regression models showed a significant overall effect of E/D status (P = 0.006), compliance group (P < 0.001), and the interaction between clinic site and E/D status (P = 0.04).ConclusionAmong insured women, reminder letters appear to improve cervical cancer screening rates for those with a history of screening compliance. Reminder letters appear insufficient to motivate women if screening is overdue. Further investigation of the cohort of women overdue for screening is needed to develop interventions to successfully target this group.

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)

Controlling the overall cost of medical care requires controlling the number of physician visits. Nurse practitioners and physician assistants (NPs/PAs) may function as lower-cost substitutes for physicians or they may complement physician services. The association between NP/PA and physician visits when NPs/PAs are not working as primary care providers (PCPs) has not been thoroughly studied. A sample of 400 family medicine patients drawn from 1 large multisite practice was studied using multiple logistic regression analysis. NPs/PAs did not function as PCPs during the study period. Patients were defined as outliers if they visited physicians more than 5 times in a year. Patients who visited NPs/PAs in non-retail clinics were significantly more likely to be physician visit outliers. Visits to NPs/PAs in retail clinics were not related to physician visits. NP/PA visits in standard medical office settings complement physician visits when the NPs/PAs were not working as PCPs in this large multisite practice. Health care reform proposals relying on increased use of NPs/PAs may be more cost-efficient if NPs/PAs are located in retail settings or function as PCPs. ( Population Health Management 2013;16:242–245)

Introduction: Collaborative care management (CCM) for the treatment of depression has been shown to be an effective therapy. CCM can be seen as a resource intensive treatment. Early identification of patients who would not be effectively treated with CCM could allow for alteration of therapy or change in modality. Methods: A retrospective case-controlled study used 132 patients with prolonged enrollment (>1 year) in CCM (cases) and 396 randomized CCM patients who achieved remission within 6 months (controls). The hypothesis was that by studying the epidemiology of patients in prolonged care management (PCM), characteristics could be determined to help define this group. Results: With regression modeling, the odds of a patient having PCM at 1 year was highly significant for those unmarried patients (odds ratio [OR] = 1.736, confidence interval [CI] = 1.115-2.703, P = .015) with dysthymia (OR = 2.362, CI = 1.104-5.052, P = .027) and severe depression (OR = 2.856, CI = 1.551-5.260, P = .001). The adjusted baseline Patient Health Questionnaire–9 (PHQ-9) score showed a difference of 16.0 for the cases versus 14.8 for the controls ( P < .001). By 10 weeks, the difference is much larger at (10.7 vs 4.9, P < .001). At 26 weeks, the control group had an adjusted average PHQ-9 score of 2.0, whereas the case group was still elevated at 10.2 ( P < .001). Conclusions: Case-controlled analysis of PCM patients demonstrated independent predictors (such as unmarried status, diagnosis of dysthymia or severe depression), however, no baseline data was of sufficient clarity to suggest changes in clinical practice. The trend of the patient’s PHQ-9 over time was strongly suggestive of allowing differentiation between the groups.

Purpose: The purpose of this study was to compare continuity of care for family medicine patients using retail medicine clinics to continuity for patients not using retail clinics. Retail medicine clinics have become popular in some markets. However, their impact on continuity of care has not been studied. Methods: Electronic medical records of adult primary care patients seen in a large group practice in Minnesota in 2011 were analyzed for this study. Two randomly chosen groups of patients were selected (N = 400): those using 1 of 3 retail walk-in clinics staffed by nurse practitioners in addition to standard office care and a comparison group that only used standard office care. Continuity was measured as the percentage of visits that involved the primary care provider. We also compared patients who made zero visits to their primary care providers with those who made some visits to their primary care providers. Results: Continuity of care was lower for patients who used retail clinics than for patients who did not use retail clinics (0.17 vs 0.44, mean difference 0.27). The percentage of patients who made zero visits to their primary care providers was 54.5 for users of retail clinics versus 31.0 for those who did not use retail clinics. Conclusions: Continuity of care should be monitored as retail medicine continues to expand.

Obesity and depression are often comorbid conditions. There appears to be a bidirectional relationship between these. Obesity at baseline has been shown to increase the risk of onset of depression and depression at baseline increased the odds for developing obesity. Less is understood about the impact of obesity on depression treatment outcomes. The authors’ hypothesis was that obesity (body mass index [BMI] ≥30 kg/m 2 ) and morbid obesity (BMI ≥ 40 kg/m 2 ) would each have negative effects on depression remission rates after 6 months of enrollment into collaborative care management for depression. In a retrospective analysis of 1111 depressed patients with a PHQ-9 (Patient Health Questionnaire) score of 10 or greater, multivariate analysis for the odds ratio of achieving remission at 6 months demonstrated that the patient’s BMI at baseline was not an independent risk factor for depression outcome at 6 months. Collaborative care management for depression has been shown to be effective for improving depression outcomes, yet minimal prior research has focused on other clinical comorbidities that might affect outcomes. Although obesity was common in the study population, it was reassuring, based on this study that 6-month depression treatment outcomes do not appear to be significantly affected by the patient’s baseline BMI.