DeJesus, Ramona S.

Background: Health and Wellness Coaching has been shown to enhance treatment outcomes in the primary care setting. However, little is known about the experience and perceptions of patients who worked with a wellness coach as an integrated member of their primary health-care team. Objective: This project assessed patients’ experience and obtained their perceptions on barriers and facilitators to participation in a primary care–based wellness coaching program. Method: A survey was mailed to 99 primary care patients with prediabetes who participated in a 12-week wellness coaching program. Results: Sixty-two (63%) completed the survey; responders felt that participation in the wellness coaching program helped move them toward healthier lifestyle behavior and created a personal vision of wellness. Major themes associated with participation were supportive coaching relationship, increased self-accountability, increased goal-setting, and healthy behavior strategies. No significant barrier to participation was reported. Conclusion: Participants reported highly positive experience with the program; how to best integrate health and wellness coaching into the primary care setting needs to be explored.

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).

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.

The United States Preventive Services Task Force and the National Osteoporosis Foundation recommend routine osteoporosis screening for women aged 65 years or older. Previous studies have shown that the use of a clinical decision-support tool significantly improves screening rates. In a recently published study, a statistically significant improvement was found in the screening rates for eligible women with use of the tool. To evaluate whether a clinical decision-support tool independently predicts completion of osteoporosis screening tests and to identify predictors of screening completion, we examined the records of 2462 female patients who were eligible for osteoporosis screening but had no prior baseline screening and who were seen in our primary care practices in 2007 and 2008. Patient and provider characteristics and clinic visit type were identified, and their association with screening test completion was statistically analyzed using both univariate and multivariate models. Screening completion rates increased significantly from 2007 to 2008. Factors associated with increased likelihood of screening completion included race, marital status, residence, presence of comorbidity (cancer, rheumatologic disease), and the year and type of visit. Screening was less likely for women aged 80 years or older. The use of a point-of-care decision-support tool not only improved osteoporosis screening rates significantly but appeared to be an independent predictor of screening completion. It potentially can facilitate the systematic and effective delivery of preventive health services to patients in the primary care setting. ( Population Health Management 2011;14:243–247)

In 2008, the Institute for Clinical Systems Improvement (ICSI) in Minnesota implemented a model of collaborative care management (CCM) for treatment of depression in primary care. This resulted in significant improvements on both clinical response and remission over usual care, although an increase in utilization metrics has been observed. Mental health comorbidities have previously been significantly associated with an increased likelihood of not responding to initial treatment. This retrospective study hypothesized that patients with mental health comorbidities are more likely to be associated with patients who were readmitted into CCM with recurrent depression. A total of 145 patients who had completed CCM were studied; of these, 32 were diagnosed with recurrent depression and were readmitted to CCM, and 113 were in remission for at least 4 months. There were no statistically significant demographic differences between the 2 groups. The initial screening GAD-7 score for anxiety was significantly increased in the readmission group (12.81 vs 9.20, P = .001) as was the average length of treatment from initial diagnosis to remission (168.09 vs 120.99 days, P = .002). All other initial screening tests were not different between the groups. When controlling for the independent variables by multiple logistic regression, the odds ratio for GAD-7 was 1.1156 (CI = 1.0.192 to 1.2212, P = .0177) and for days of treatment in CCM was 1.0123 (CI = 1.0041 to 1.0206, P = .0033). Patients who are readmitted to CCM for recurrent depression have a statistically increased risk of associated anxiety and a longer treatment course than those who have remained in remission for at least 4 months.