Angstman, Kurt B.

Background: Lack of wellness among physicians has been associated with increased risk for physical and mental illness, interpersonal discord, and occupational liability. In academic primary care practices, physician wellness and self-care behaviors have been associated with improved patient outcomes. With the increase in team-based care structures in primary care clinics and residencies there may be opportunities to promote wellness among primary clinicians, particularly among resident physicians who are at increased risk for decreased well being. The primary objective of the study was to test an a priori hypothesis that family medicine residents’ perception of support from preceptor team leads would be associated with wellbeing. A secondary objective of the study was to test a post hoc hypothesis that examined whether the relationship between residents’ perception of support from their preceptor team leads would be associated with residents’ well being, while controlling for self-care behaviors. Methods: Our study utilized a prospective cross-sectional design with purposive sampling to survey family medicine residents. Data were collected in February 2016. The survey was sent out to 58 family medicine residents across three family medicine residencies at Mayo Clinic. The survey response rate was 55% (n=32); Ten (31.3%) residents reported being in their PGY-1, 11 (34.4%) in PGY-2; and 11 (34.4%) in PGY-3; participants included 19 (59.4%) women and 13 (40.6%) men. The Brief Resident Wellness Profile (BRWP) was utilized to assess family medicine residents’ perceived sense of professional accomplishment and mood in the past week. Results: In bivariate correlational analyses, increased perception of support from preceptor team leads (r=.40, P<.01) and reporting a male gender (r=.43, P<.01) was associated with increased resident wellness. In exploratory multivariate analysis, results suggested that while controlling for gender, frequency of self-care behaviors, and perceived preceptor team lead support, a one-point change on rating of perceived team leader support is associated with a 1.69 increase in resident wellness score on the BRWP. Conclusions: Our results provide preliminary evidence to support the relationship between preceptor team lead support and resident wellness in team-based care, above and beyond the impact that self-behaviors have on wellness. Our findings suggest evidence for the subsequent study of the impact of preceptor team lead relationship quality on resident wellness.

Background:Individuals with personality disorders (PDs) are high utilizers of primary care and mental health services; however, they struggle to utilize the care effectively and studies have shown a strong association between having a PD and higher impairment in social role functioning. This is especially important because PDs are highly comorbid with a wide range of other mental health disorders. The collaborative care model (CCM) for depression was developed with an emphasis on patient engagement and aimed to reduce health care utilization, while improving treatment outcomes in primary care. We hypothesized that the diagnosis of a personality disorder in primary care patients will negatively affect 6-month depression outcomes after enrollment into a CCM. Methods: This retrospective chart review study was conducted on patients enrolled into CCM over a period of 7 years with collection of 6-month follow-up data. A total of 2826 patients were enrolled into CCM with a clinical diagnosis of depression and a baseline Patient Health Questionnaire–9 (PHQ-9) ≥10 were included in the study cohort. Using the depression database, baseline and 6-month follow-up data were obtained. Adjusted odds ratios (AORs) were determined for both remission and persistent depressive symptoms using logistic regression modeling for the 6-month PHQ-9 outcome; while retaining all the study variables. Results: Of the 2826 CCM patients with depression in our study, 216 (7.6%) were found to have a PD. Patients with PD were younger (37.7 vs 42.5 years, P < .001) and more likely to be unmarried (36.1% vs 55.6%, P < .001) than patients without a PD. While age, marital status, clinical diagnosis, and Mood Disorders Questionnaire (MDQ) score were significant predictors of remission; anxiety symptoms, gender, and race were not. The presence of a PD diagnosis was associated with a 60% lower likelihood of remission at 6 months (AOR = 0.39; 95% CI 0.28-0.54). Conversely, patients without a PD were 2.5 times as likely to experience remission at 6-month remission compared to patients with PD (AOR =2.57; 95% CI 1.85-3.56). Conclusion: Patients with a personality disorder were more likely to have a recurrent depressive disorder diagnosis, an abnormal MDQ score, increased anxiety symptoms, and higher baseline PHQ-9 score. Patients with PD had worse CCM outcomes at 6 months with only 25.0% able to achieve remission versus 54.3% ( P < .001) without a PD. The presence of a PD with depression was associated with poor outcomes (reduced remission rates and increased persistent depressive symptoms rates) in comparison to patients without a diagnosis of PD, while treated within CCM.

Posttraumatic stress disorder (PTSD) has symptoms that exist along a spectrum that includes depression and the 2 disorders may coexist. Collaborative care management (CCM) has been successfully used in outpatient mental health management (especially depression and anxiety) with favorable outcomes. Despite this, there exist limited data on clinical impact of a diagnosis of PTSD on depression outcomes in CCM. The present study used a retrospective cohort design to examine the association of PTSD with depression outcomes among 2121 adult patients involved in CCM in a primary care setting. Using standardized self-report measures, baseline depression scores and 6-month outcome scores were evaluated. Seventy-six patients had a diagnosis of PTSD documented in their electronic medical record. Patients with PTSD reported more severe depressive symptoms at baseline (Patient Health Questionnaire–9 score of 17.9 vs 15.4, P < .001) than those without PTSD. Controlling for sociodemographic and clinical characteristics, a clinical diagnosis of PTSD was associated with lower odds (AOR = 0.457, CI = 0.274-0.760, P = .003) of remission at 6 months and was also associated with higher odds (AOR = 3.112, CI = 1.921-5.041, P < .001) of persistent depressive symptoms at 6 months after CCM. When coexisting with depression, a diagnosis of PTSD was associated with worse depression outcomes, when managed with CCM in primary care. Opportunities still exist for more aggressive management of depression in these patients to help improve remission as well as reduce persistent depressive symptoms.

ABSTRACT CONTEXT AND OBJECTIVE: To evaluate predictors of changes in lipid parameters consisting of LDL-C (low-density lipoprotein cholesterol), TC (total cholesterol) and non-HDL-C (non-high density lipoprotein cholesterol) among primary care patients. DESIGN AND SETTING: Retrospective study conducted on family medicine patients. METHODS: Demographic features and other clinically relevant information were abstracted from medical records. The primary outcome was the difference in LDL-C level from initial testing to the index test. Secondary outcomes were the changes in TC and non-HDL-C levels between two measurements. RESULTS: Three hundred and eleven participants were included in the final secondary analysis. Multiple linear regression revealed that male patients (β = 4.97, P = 0.040), diabetes (β = 9.75, P = 0.003) and higher LDL-C levels at baseline (β = 0.35, P < 0.001) were positively associated with LDL variance, whereas longer time period (β = -0.15, P = 0.045) and familial hypercholesterolemia history (β = -7.56, P = 0.033) were negatively associated. Male patients (β = 8.45, P = 0.002), DM (β = 9.26, P = 0.011), higher TC levels at baseline (β = 0.35, P < 0.001) and taking statins (β = 7.31, P = 0.023) were positively associated with TC variance, whilst longer time period (β = -0.183, P = 0.031) and familial hypercholesterolemia (β = -10.70, P = 0.008) were negatively associated. CONCLUSION: In the present study, patients who were male, on statin treatment, diagnosed with diabetes and had higher baseline lipid values were more likely associated with better lipid outcomes at future testing.

AbstractRationale, aims and objectivesThe relationship between diabetes and depression is complex. The aim of this study was to study the impact of diabetic control in depressed primary care patients with diabetes on clinical remission of their depression at 6 months.MethodsThis study was a retrospective chart review analysis of 145 adult patients diagnosed with either major depressive disorder or dysthymia and had a score of 10 or greater on the PHQ‐9. The dependent variable for this study was depression remission at 6 months. The independent variables for this study were age, gender, marital status, race, BMI and HbA1c level within 2 months prior to the time of depression diagnosis.ResultsMultiple logistic regression modelling demonstrated that initial diabetic control or obesity were not independent predictors of depression remission at 6 months after index date. Also, the odds for the diabetes being in control (HbA1c <8.0%) after 6 months was only associated with being in control at baseline (OR 5.549, CI 2.364–13.024, P < 0.001).ConclusionsBaseline diabetic control does not appear to be an independent predictor for depression outcomes at 6 months. The best predictor of diabetic control after the diagnosis of depression was previous control of diabetes.

AbstractRationale, aims and objectivesAchieving control over elevated lipid parameters, particularly low‐density lipoprotein (LDL)‐cholesterol, is an acknowledged quality indicator in primary care. The Centers for Disease Control and Prevention (CDC)'s model for investigation of outbreaks (person–place–time) can be applied to the analysis of quality indicators.MethodsA sample of 322 family medicine patients for whom lipid levels were ordered was extracted. LDL > 100 mg/dL was cross‐tabulated by personal characteristics [age group, gender, body mass index (BMI), diagnoses], month (time) and ordering department (place).ResultsAge (except one age category), gender, time and location were not related to LDL > 100 mg/dL after adjustment for covariates. All levels of BMI above normal elevated the risk of LDL > 100 mg/dL [BMI 25–29.9: odds ratio (OR) = 3.41, confidence interval (CI) = 1.61–7.23, P = 0.0014; BMI 30–34.9: OR = 2.93, CI = 1.28–6.70, P = 0.0109; BMI ≥ 35: OR = 2.75, CI = 1.19–6.37, P = 0.0181]. Patients with coronary artery disease (CAD) and diabetes mellitus (DM) were at reduced risk for LDL > 100 mg/dL (CAD: OR = 0.47, CI = 0.24–0.91, P = 0.0254; DM: OR = 0.28, CI = 0.14–0.55, P = 0.0002).ConclusionAn outbreak investigation model is useful for analysing variations in this quality indicator. Patients with higher BMI and those not diagnosed with CAD or DM type I/II may be considered for intensified lipid lowering using quality improvement efforts. These might include counselling for lifestyle changes or medication therapy depending upon their calculated cardiac risk.

Purpose: Cellulitis in obese patients is associated with increased rates of treatment failure compared to those with normal body mass index (BMI); however, patients have not been extensively studied in the outpatient environment or stratified based on range of obesity and associated risk factors. This study looked at antibiotic dosing and treatment failure in the obese population from the primary care perspective and accounts for BMI range, weight, comorbid diabetes, and tobacco use. Methods: This study was a retrospective chart review of 637 adult primary care patients designed to evaluate rates of treatment failure of outpatient cellulitis among patients of varying BMI. Treatment failure was defined as ( a) hospital admission for intravenous antibiotics, ( b) prolonged antibiotic course, or ( c) requiring a different antibiotic after initial course. Results: Adverse outcomes were not statistically significant between normal BMI and those with BMI ≥40 kg/m 2 . A subset of patients with a BMI ≥50 kg/m 2 was noted to have approximately twice the rate of adverse outcomes as the normal BMI group. While controlling for age, gender, race, diagnosis of diabetes mellitus, and tobacco use, a BMI of ≥50 kg/m 2 and a weight ≥120 kg was associated with adverse outcomes with an odds ratio of 2.440 (95% CI, 1.260-4.724; P = .008) and 2.246 (95% CI, 1.154-4.369; P = .017), respectively. Conclusions: Patients with cellulitis weighing >120kg or with a BMI ≥50 kg/m 2 were at greatest risk for treatment failure in the outpatient setting, even when controlling for comorbid diabetes and tobacco use. As morbid obesity continues to become more prevalent, it becomes imperative that primary care physicians have better antibiotic dosing guidelines to account for the physiologic effects of obesity to minimize the risk of increased morbidity, health care costs, and antibiotic resistance.

AbstractBackgroundThe collaborative care model (CCM) has been consistently shown to achieve effectiveness in depression management compared to usual care. In the present study, we aimed to determine the impact of age on cost metrics in patients who were treated with CCM for 6 months after a diagnosis of depression.MethodsThe upper quartile of age was 50 years and older (n = 56), and the comparison group was composed of patients in the three younger quartiles, aged 18–49 years (n = 163).ResultsPatients in the older age group had an elevated median Current Procedure Terminology cost rank of 255.5 compared to 168.0 for the younger patients (P < 0.001). Multiple logistic regression analysis revealed that being in the upper quartile of age (≥50 years) (odds ratio = 2.272, 95% confidence interval: 1.064–4.851; P = 0.034) and having higher numbers of clinical visits 6 months prior to index (odds ratio = 1.209, 95% confidence interval: 1.118–1.307; P < 0.001) were significant predictor variables of being cost rank outliers (>80th percentile) in patients with CCM.ConclusionMedical cost utilization in the 6 months after diagnosis of depression was significantly higher in patients in the upper age quartile (≥50 years) enrolled in CCM than those in the lower quartiles (age <50).

AbstractRationale, aims and objectivesThis study was undertaken to assess the frequency of lipid screening in comparison with the United States Preventive Services Task Force guideline in a sample of family medicine patients. In addition, we sought to determine the association between testing frequency and achievement of lipid targets.MethodsA random sample was extracted from 271 patients from among all patients cared for in our Department of Family Medicine for whom lipid screening was ordered from March to September 2012 and who had ≥2 well‐defined cardiovascular risk factors. Lipid testing frequency was classified in three ways: semi‐annual or less often (0–12 tests over 6 years), annual or less often (0–6 tests), or biennial (0–3 tests).ResultsMultiple logistic regression analysis revealed that the predictors of lipid screening more often than semi‐annually were age ≥60 years [odds ratio (OR) = 3.7] and diabetes mellitus (DM) (OR = 30.6). Predictors of screening more often than annually were DM (OR = 4.3), hypertension (OR = 2.1), family history of premature coronary artery disease (OR = 5.6) and statin treatment (OR = 3.5). Lipid goal attainment was not associated with testing frequency except with regard to low‐density lipoprotein levels (P = 0.043, P < 0.001, P = 0.005, by semi‐annual, annual and biennial, respectively) and total cholesterol levels (P = 0.015, P = 0.025 by semi‐annual and annual, respectively).ConclusionsQuestionable high frequency of lipid testing was detected even when the more conservative approach of annual monitoring was assumed. Frequency of testing was not associated with goal attainment for most parameters. Physicians should request the lipid testing based on overall risk assessment and person variability in accordance with published guidelines.