ObjectiveTo survey barriers in prescribing naltrexone for alcohol use disorder.MethodsA 12-question survey related to naltrexone prescribing patterns, perceptions, and knowledge was sent to 770 prescribers in the departments of internal medicine, family medicine, and psychiatry across a health system with sites in Arizona, Florida, and Minnesota.ResultsResponses were obtained and included for 146/770 prescribers (19.0% response rate). Most respondents were in the department of internal medicine (n = 94, 64.4%), but the departments of psychiatry (n = 22, 15.1%) and family medicine (n = 30, 20.5%) were also represented. Only 34 (23.3%) respondents indicated they had prescribed naltrexone in the previous 3 months. The most common reasons for not prescribing naltrexone were “unfamiliarity with naltrexone for treatment of alcohol use disorder” and “patients do not have appropriate follow-up or are not in a formal treatment program.” Compared with those representing internal/family medicine, psychiatry respondents were more likely to prescribe naltrexone and answer knowledge questions correctly.ConclusionIn this survey among primarily non-addiction-trained prescribers, a disparity was shown for prescribing naltrexone and in knowledge barriers between staff in internal/family medicine and psychiatry. There exist opportunities for education and quality improvement that promote the prescribing of naltrexone for alcohol use disorder by non-addiction specialists.
Background and Objectives: Teaching medical students patient-centered approaches to weight loss counseling occurs in myriad ways. We examined lectures and direct faculty observation to see which was associated with better patient-centered care in medical students, measured by both self-perception and independent observer evaluation.
Methods: Third- and fourth-year students attending one medical school were surveyed regarding their education in (1) weight loss and health behavior counseling, (2) obesity stigma, and (3) whether they had experienced direct faculty observation of their weight loss counseling. Several weeks later, the students were observed during a standardized patient encounter for obesity and an obesity-relevant comorbidity. A postencounter survey assessed overall student satisfaction with the encounter and with the care they provided. Independent coders rated their patient-centered communication using a validated measure.
Results: There was no consistent association between any dependent variable and student ratings of adequacy of instruction, nor with instructional content. Direct faculty observation was not associated with overall encounter satisfaction or their overall patient-centeredness. However, experiences with direct faculty observation were significantly and positively associated with students’ perceptions of patient engagement (b=0.1, P=.05), and with independent coders’ ratings of student friendliness (b=0.13, P=.01), responsiveness (b=0.113, P=.03), and lower student anxiety (b=-0.1, P=.01).
Conclusions: Independent observation and self-report of instruction adequacy and content had no consistent association with care quality. However, direct faculty observation predicted improvement in both student self-reports and independent observer ratings of students’ interpersonal quality of care. Further work is needed to define optimal methods of imparting patient-centered care.
Background: Depression is common in the primary care setting and tobacco use is more prevalent among individuals with depression. Recent research has linked smoking to poorer outcomes of depression treatment. We hypothesized that in adult primary care patients with the diagnosis of depression, current smoking would have a negative impact on clinical outcomes, regardless of treatment type (usual primary care [UC] vs collaborative care management [CCM]). Methods: A retrospective chart review study of 5155 adult primary care patients with depression in a primary care practice in southeast Minnesota was completed. Variables obtained included age, gender, marital status, race, smoking status, initial Patient Health Questionnaire–9 (PHQ-9), and 6-month PHQ-9. Clinical remission (CR) was defined as 6-month PHQ-9 <5. Persistent depressive symptoms (PDS) were defined as PHQ-9 ≥10 at 6 months. Treatment in both CCM and UC were compared. Results: Using intention to treat analysis, depressed smokers treated with CCM were 4.60 times as likely (95% CI 3.24-6.52, P < .001) to reach CR and were significantly less likely to have PDS at 6 months (adjusted odds ratio [AOR] 0.19, 95% CI 0.14-0.25, P < .001) compared with smokers in UC. After a 6-month follow-up, depressed smokers treated with CCM were 1.75 times as likely (95% CI 1.18-2.59, P = .006) to reach CR and were significantly less likely to have PDS (AOR 0.45, 95% CI 0.31-0.64, P < .001) compared with smokers in UC. Conclusions: CCM significantly improved depression outcomes for smokers at 6 months compared with UC. However, in the UC group, smoking outcomes were not statistically different at 6 months for either remission or PDS. Also, nonsmokers in CCM had the best clinical outcomes at 6 months in both achieving clinical remission and reduction of PDS when compared with smokers in UC as the reference group.
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