'It Makes You Sit Back and Think Where You Wanna Go': Veteran experiences in virtual whole health peer-led groups.

BACKGROUND: The Veterans Health Administration (VHA) is building a Whole Health system of care that aspires to empower and equip each Veteran to pursue a personally meaningful vision of health and well-being. As part of this effort, VHA has developed Taking Charge of My Life and Health (TCMLH), a peer-led, group-based programme that seeks to support Veterans in setting and pursuing health and well-being goals. Prior research showed TCMLH groups to positively impact Veteran outcomes; yet, little is known about Veterans' own experiences and perspectives. METHODS: We completed semi-structured telephone interviews with 15 Veterans across 8 sites who had participated in TCMLH groups offered by the VHA in the virtual format between Summer 2020 and Fall 2021. Inductive thematic analysis was applied to interview transcripts to generate themes. FINDINGS: We identified five themes regarding Veterans' experiences with TCMLH: (1) navigating the virtual format; (2) internalizing the value of health engagement; (3) making healthy lifestyle changes; (4) forging social connections; and (5) taking on a more active role in healthcare. CONCLUSION: Veterans perceived virtual TCMLH groups as meaningful and beneficial, yet also highlighted several challenges. Their perspectives speak to the need to supplement time-limited programmes like TCMLH with ongoing, community-based support. Virtual group-based well-being programmes are a promising innovation. Other healthcare systems may draw on VHA's experience while tailoring format and content to the needs of their patient populations. PATIENT OR PUBLIC CONTRIBUTION: Veterans were involved as evaluation participants. A Veteran consultant, who is a coauthor on this paper, was engaged through the conceptualization of the evaluation, development of data collection materials (interview guide) and writing.

Using natural language processing to improve suicide classification requires consideration of race.

OBJECTIVES: To improve the accuracy of classification of deaths of undetermined intent and to examine racial differences in misclassification. METHODS: We used natural language processing and statistical text analysis on restricted-access case narratives of suicides, homicides, and undetermined deaths in 37 states collected from the National Violent Death Reporting System (NVDRS) (2017). We fit separate race-specific classification models to predict suicide among undetermined cases using data from known homicide cases (true negatives) and known suicide cases (true positives). RESULTS: A classifier trained on an all-race dataset predicts less than half of these cases as suicide. Importantly, our analysis yields an estimated suicide rate for the Black population comparable with the typical detection rate for the White population, indicating that misclassification excess is endemic for Black suicide. This problem may be mitigated by using race-specific data. Our findings, based on the statistical text analysis, also reveal systematic differences in the phrases identified as most predictive of suicide. CONCLUSIONS: This study highlights the need to understand the reasons underlying suicide rate differences and for further testing of strategies to reduce misclassification, particularly among people of color.

Lessons Learned From VHA's Rapid Implementation of Virtual Whole Health Peer-Led Groups During the COVID-19 Pandemic: Staff Perspectives.

BACKGROUND: Committed to implementing a person-centered, holistic (Whole Health) system of care, the Veterans Health Administration (VHA) developed a peer-led, group-based, multi-session "Taking Charge of My Life and Health" (TCMLH) program wherein Veterans reflect on values, set health and well-being-related goals, and provide mutual support. Prior work has demonstrated the positive impact of these groups. After face-to-face TCMLH groups were disrupted by the COVID-19 pandemic, VHA facilities rapidly implemented virtual (video-based) TCMLH groups. OBJECTIVE: We sought to understand staff perspectives on the feasibility, challenges, and advantages of conducting TCMLH groups virtually. METHODS: We completed semi-structured telephone interviews with 35 staff members involved in the implementation of virtual TCMLH groups across 12 VHA facilities and conducted rapid qualitative analysis of the interview transcripts. RESULTS: Holding TCMLH groups virtually was viewed as feasible. Factors that promoted the implementation included use of standardized technology platforms amenable to delivery of group-based curriculum, availability of technical support, and adjustments in facilitator delivery style. The key drawbacks of the virtual format included difficulty maintaining engagement and barriers to relationship-building among participants. The perceived advantages of the virtual format included the positive influence of being in the home environment on Veterans' reflection, motivation, and self-disclosure, the greater convenience and accessibility of the virtual format, and the virtual group's role as an antidote to isolation during the COVID-19 pandemic. CONCLUSION: Faced with the disruption caused by the COVID-19 pandemic, VHA pivoted by rapidly implementing virtual TCMLH groups. Staff members involved in implementation noted that delivering TCMLH virtually was feasible and highlighted both challenges and advantages of the virtual format. A virtual group-based program in which participants set and pursue personally meaningful goals related to health and well-being in a supportive environment of their peers is a promising innovation that can be replicated in other health systems.

Methods for assessing and controlling placebo effects.

The placebo serves as an indispensable control in many randomized trials. When analyzing the benefit of a new treatment, researchers are often confronted with large placebo effects that diminish the treatment effect. Various alternative methods have been proposed for analyzing placebo and treatment effects in studies where large placebo effects are expected or have already occurred. This paper presents an overview of methodological work that has been proposed for assessing and/or controlling for placebo effects in randomized trials. Throughout this paper, two main approaches are discussed. The first approach considers designs that represent alternatives to the classical placebo-controlled randomized trial design. Separately, the second approach considers adopting new methods for the statistical analysis of placebo and treatment effects to be implemented after the data have been collected using a classical randomized trial design.