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BackgroundMotivational interviewing (MI) is an evidence-based, patient-centered counseling strategy proven to support patients seeking health behavior change. Yet the time and travel commitment for MI training is often a barrier to the adoption of MI by health care professionals. Virtual worlds such as Second Life (SL) are rapidly becoming part of the educational technology landscape and offer not only the potential to improve access to MI training but also to deepen the MI training experience through the use of immersive online environments. Despite SL’s potential for medical education applications, little work is published studying its use for this purpose and still less is known of educational outcomes for physician training in MI using a virtual-world platform. ObjectiveOur aims were to (1) explore the feasibility, acceptability, and effectiveness of a virtual-world platform for delivering MI training designed for physicians and (2) pilot test instructional designs using SL for MI training. MethodsWe designed and pilot tested an MI training program in the SL virtual world. We trained and enrolled 13 primary care physicians in a two-session, interactive program in SL on the use of MI for counseling patients about colorectal cancer screening. We measured self-reported changes in confidence and clinical practice patterns for counseling on colorectal cancer screening, and acceptability of the virtual-world learning environment and the MI instructional design. Effectiveness of the MI training was assessed by coding and scoring tape-recorded interviews with a blinded mock patient conducted pre- and post-training. ResultsA total of 13 physicians completed the training. Acceptability ratings for the MI training ranged from 4.1 to 4.7 on a 5-point scale. The SL learning environment was also highly rated, with 77% (n = 10) of the doctors reporting SL to be an effective educational medium. Learners’ confidence and clinical practice patterns for colorectal cancer screening improved after training. Pre- to post-training mean confidence scores for the ability to elicit and address barriers to colorectal cancer screening (4.5 to 6.2, P = .004) and knowledge of decision-making psychology (4.5 to 5.7, P = .02) and behavior change psychology (4.9 to 6.2, P = .02) increased significantly. Global MI skills scores increased significantly and component scores for the MI skills also increased, with statistically significant improvements in 4 of the 5 component skills: empathy (3.12 to 3.85, P = .001), autonomy (3.07 to 3.85, P < .001), collaboration (2.88 to 3.46, P = .02), and evocative response (2.80 to 3.61, P = .008). ConclusionsThe results of this pilot study suggest that virtual worlds offer the potential for a new medical education pedagogy that will enhance learning outcomes for patient-centered communication skills training.

Background: There is growing interest in using composite individualized treatment rules (ITRs) to guide depression treatment selection, but best approaches for doing this are not widely known. We develop an ITR for depression remission based on secondary analysis of a recently published trial for second-line antidepression medication selection using a cutting-edge ensemble machine learning method. Methods: Data come from the SUN(^_^)D trial, an open-label, assessor blinded pragmatic trial of previously-untreated patients with major depressive disorder from 48 clinics in Japan. Initial clinic-level randomization assigned patients to 50 or 100 mg/day sertraline. We focus on the 1549 patients who failed to remit within 3 weeks and were then rerandomized at the individual-level to continuation with sertraline, switching to mirtazapine, or combining mirtazapine with sertraline. The outcome was remission 9 weeks post-baseline. Predictors included socio-demographics, clinical characteristics, baseline symptoms, changes in symptoms between baseline and week 3, and week 3 side effects. Results: Optimized treatment was associated with significantly increased cross-validated week 9 remission rates in both samples [5.3% (2.4%), p = 0.016 50 mg/day sample; 5.1% (2.7%), p = 0.031 100 mg/day sample] compared to randomization (30.1–30.8%). Optimization was also associated with significantly increased remission in both samples compared to continuation [24.7% in both: 11.2% (3.8%), p = 0.002 50 mg/day sample; 11.7% (3.9%), p = 0.001 100 mg/day sample]. Non-significant gains were found for optimization compared to switching or combining. Conclusions: An ITR can be developed to improve second-line antidepressant selection, but replication in a larger study with more comprehensive baseline predictors might produce stronger and more stable results. [ABSTRACT FROM AUTHOR]

There is an extensive literature on the estimation and evaluation of optimal individualized treatment rules in settings where all confounders of the effect of treatment on outcome are observed. We study the development of individualized decision rules in settings where some of these confounders may not have been measured but a valid binary instrument is available for a binary treatment. We first consider individualized treatment rules, which will naturally be most interesting in settings where it is feasible to intervene directly on treatment. We then consider a setting where intervening on treatment is infeasible, but intervening to encourage treatment is feasible. In both of these settings, we also handle the case that the treatment is a limited resource so that optimal interventions focus the available resources on those individuals who will benefit most from treatment. Given a reference rule, we evaluate an optimal individualized rule by its average causal effect relative to a prespecified reference rule. We develop methods to estimate optimal individualized rules and construct asymptotically efficient plug-in estimators of the corresponding average causal effect relative to a prespecified reference rule. for this article are available online. [ABSTRACT FROM AUTHOR]

Objective: There is growing interest in the development of composite precision treatment rules (PTRs) to guide the selection of the treatments most likely to be helpful for individual patients. We present here the results of an effort to develop a preliminary PTR for Collaborative Assessment and Management of Suicidality (CAMS) relative to enhanced-care as usual based on secondary analysis of the Operation Worth Living (OWL) randomized controlled trial. The outcome of interest is eliminating suicide ideation (SI) within 3 months of initiating treatment.Method: A state-of-the-art ensemble machine learning method was used to develop the PTR among the n = 148 U.S. Soldiers (predominately male and White, age range 18-48) OWL patients.Results: We estimated that CAMS was the better treatment for 77.8% of patients and that treatment assignment according to the PTR would result in a 13.6% (95% CI: 0.9%-26.3%) increase in 3-month SI remission compared to random treatment assignment.Conclusions: Although promising, results are limited by the small sample size, restrictive baseline assessment, and inability to evaluate effects on suicidal behaviors or disaggregate based on history of suicidal behaviors. Replication is needed in larger samples with comprehensive baseline assessments, longer-term follow-ups, and more extensive outcomes. [ABSTRACT FROM AUTHOR]

Aims: As previous reports show an association of chronic hepatitis C (HCV) with hepatocellular carcinoma (HCC) and non‐liver cancers, we examine the association of HCV with liver cancer and non‐liver cancers. Methods: Retrospective cross‐sectional study at Kaiser Permanente Southern California (KPSC) evaluating HCV and non‐HCV patients from 1 January 2008 to 12 December 2012. Cancer diagnoses were obtained from the KPSC‐SEER‐affiliated registry. Logistic regression analyses were used for rate ratios and time‐to‐event analyses were performed using Cox proportional hazards models, adjusted for age, gender, race, smoking and cirrhosis. Cancer rate ratios were stratified by tobacco, alcohol abuse, diabetes and body mass index (BMI). Results: The initial population and final population of multivariable analysis were N = 5 332 903 and N = 2 080 335 respectively. Cancer burden (all sites) was significantly higher in HCV than in non‐HCV patients and HCV patients had a high rate of liver cancer. When liver cancer was excluded, cancer rates remained significantly increased in HCV. Unadjusted cancer rates were significantly higher in HCV compared to non‐HCV for oesophageal, stomach, colorectal, pancreas, myeloma, non‐Hodgkin's lymphoma, head/neck, lung, renal and prostate cancer. After stratification for alcohol abuse, tobacco, diabetes and BMI, increased cancer rates remained significant for all cancer sites, liver cancer and non‐Hodgkin's lymphoma. Multivariable analyses demonstrated a strong correlation between cirrhosis and cancer. Tobacco use and diabetes were also associated with cancer. In the absence of cirrhosis, HCV, tobacco use and diabetes significantly increased the cancer risk. Mediation analyses showed that cirrhosis was responsible for a large proportion on the effect of HCV on cancer risk. Conclusion: This study supports the concept of HCV as a systemic illness and treating HCV regardless of disease severity and prior to progression to cirrhosis. [ABSTRACT FROM AUTHOR]

Background: The prevalence of mental disorders among Black, Latino, and Asian adults is lower than among Whites. Factors that explain these differences are largely unknown. We examined whether racial/ethnic differences in exposure to traumatic events (TEs) or vulnerability to trauma-related psychopathology explained the lower rates of psychopathology among racial/ethnic minorities. Methods: We estimated the prevalence of TE exposure and associations with onset of DSM-IV depression, anxiety and substance disorders and with lifetime post-traumatic stress disorder (PTSD) in the Collaborative Psychiatric Epidemiology Surveys, a national sample (N = 13 775) with substantial proportions of Black (35.9%), Latino (18.9%), and Asian Americans (14.9%). Results: TE exposure varied across racial/ethnic groups. Asians were most likely to experience organized violence – particularly being a refugee – but had the lowest exposure to all other TEs. Blacks had the greatest exposure to participation in organized violence, sexual violence, and other TEs, Latinos had the highest exposure to physical violence, and Whites were most likely to experience accidents/injuries. Racial/ethnic minorities had lower odds ratios of depression, anxiety, and substance disorder onset relative to Whites. Neither variation in TE exposure nor vulnerability to psychopathology following TEs across racial/ethnic groups explained these differences. Vulnerability to PTSD did vary across groups, however, such that Asians were less likely and Blacks more likely to develop PTSD following TEs than Whites. Conclusions: Lower prevalence of mental disorders among racial/ethnic minorities does not appear to reflect reduced vulnerability to TEs, with the exception of PTSD among Asians. This highlights the importance of investigating other potential mechanisms underlying racial/ethnic differences in psychopathology. [ABSTRACT FROM AUTHOR]