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Purpose: Preference-based summary scores are used to quantify values, differences, and changes in health-related quality of life (HRQoL) that can be used for cost-effectiveness analyses. The PROMIS-Preference (PROPr) measure is a preference-based summary score comprised of 7 PROMIS domains. The PROMIS-16 is a new PROMIS profile instrument. We evaluated the measurement properties of PROPr generated from the widely used PROMIS-29 + 2 compared with the PROMIS-16., Methods: We performed a secondary analysis of data from an online survey of the general US population, with a longitudinal subsample who reported back pain. The survey included both the PROMIS-16 and the PROMIS-29 + 2 profiles. PROPr scores were calculated from each profile and compared by the distribution of scores, overall mean scores, product-moment correlations with pain measure scores (Oswestry Disability Index, Roland-Morris Disability Questionnaire, Pain Intensity, Interference with Enjoyment of Life, Interference with General Activity Scale, and Graded Chronic Pain Scale), and difference in mean scores in subgroups with 13 chronic health conditions (Cohen's d)., Results: Of the 4,115 participants in the baseline survey, 1,533 with any reported back pain were invited for the 6-month follow-up survey and 1,256 completed it. At baseline, the overall mean (SD) PROPr score was 0.532 (0.240) from PROMIS-16 and 0.535 (0.250) from PROMIS 29 + 2. At both time points, the correlations of PROPr scores with physical and mental health summary scores from the PROMIS-29 and 4 pain scales were within 0.01 between profiles. Using subgroups with chronic health conditions and comparing between profiles, Cohen's d estimates of the difference in effect size were small (< 0.2)., Conclusion: PROPr scores from the 16-item PROMIS profile measure are similar to PROPr scores from the longer PROMIS-29 + 2., (© 2024. The Author(s).)

Quality improvement (QI) in medicine is reliant on a team-based approach and an understanding of core QI principles. Part 2 of this continuing medical education series outlines the steps of performing a QI project, from identifying QI opportunities, to carrying out successive Plan-Do-Study-Act cycles, to hard-wiring improvements into the system. QI frameworks will be explored and readers will understand how to interpret basic QI data., Competing Interests: Conflicts of interest None disclosed., (Copyright © 2022 American Academy of Dermatology, Inc. All rights reserved.)

Competing Interests: Conflicts of interest None disclosed.

Background: Mixed-method studies can shed light on the mechanisms through which interventions effectively reduce caregiver depression., Objective: The objective of this qualitative study was to understand factors contributing to reduced depressive symptoms in stroke caregiver treatment responders compared with nonresponders., Methods: A mixed-methods explanatory sequential design was used to assess cognitive behavioral coping use and helpfulness in reducing depression among experimental study treatment responders and nonresponders. Using purposive sampling at 1-year of caregiving, we selected responders who were not depressed or demonstrated reduction to probable depression and nonresponders whose scores indicated worsened or new depression. Participants responded to semistructured interviews on life changes and the use and helpfulness of intervention coping strategies. Thematic analysis identified codes and themes., Results: Twelve of 25 participants were responders. We identified 2 overarching outcome themes: "It was about me, changing to make life better" (responders) and "Lamenting our changed lives" (nonresponders). Five subthemes related to coping were identified. Whereas responders coped actively and were less dependent on the counseling relationship, nonresponders were passive in coping and more dependent on the initial counseling relationship. Anger or previous psychologic treatment was found in more than a quarter of nonresponders and in no responders. Negative life change was found in 9 of 13 nonresponders compared with 1 responder., Conclusion: Findings support the helpfulness of cognitive behavioral coping. For many caregivers, engagement interviews and a more intense, longer intervention, such as stepped care and anger management, are indicated to mitigate treatment resistance and depressive symptoms, respectively., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: To understand the factor structure of health-related quality of life specific to caregivers of people living with traumatic brain injury (TBI)., Design: Prospective, cross-sectional data collection., Setting: Three TBI Model Systems rehabilitation hospitals, an academic medical center, and a military medical treatment facility., Participants: Caregivers (N=558) of people who have sustained a TBI (344 caregivers of civilians and 214 caregivers of service members or veterans; 85% women; 58% spouses; mean age, 46.12±14.07y) who have provided care for an average of 5.82±5.40 years., Interventions: Not applicable., Main Outcomes Measures: The Traumatic Brain Injury Caregiver Quality of Life (TBI-CareQOL) measurement system including 10 Patient-Reported Outcomes Measurement Information System item banks (anger, anxiety, depression, social isolation, sleep disturbance, fatigue, ability to participate in social roles and activities, satisfaction with social roles and activities, emotional support, informational support) and 5 TBI-CareQOL banks (feelings of loss-self, feelings of loss-person with TBI, feeling trapped, caregiver-specific anxiety, caregiver strain)., Results: Confirmatory factor analysis model fit indices were compared for 14 empirically derived and 5 theoretically derived models. Confirmatory factor analysis results indicated that the best model fit was for a 6-factor model with dimensions that included mental health, social support, social participation, social isolation, physical health, and caregiver emotion., Conclusions: Results indicated that a 6-factor model provided the best model fit for health-related quality of life in caregivers of individuals with TBI. These results have utility for both research and clinical applications. Establishing the TBI-CareQOL's factor structure provides preliminary evidence of the measurement system's construct validity, helps inform the selection of measures for specific research or clinical interventions, and informs the development of composite scores., (Copyright © 2020 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Hundreds of standard measures have been developed to assess a diverse array of conditions, characteristics, and outcomes essential to the practice of medical rehabilitation. These measures provide a common metric needed to coordinate care, communicate with stakeholders, and assess treatment efficacy. Allied health professionals typically rely on functional measures that correspond to their discipline and scope of practice, yet functional outcomes may be dependent on psychological and social (psychosocial) factors that affect a client's capacity to engage and actively participate in their care. The purpose of this study was to describe and compare the use of standard measures by allied health professionals, assess attitudes and beliefs regarding the use of these measures, and identify opportunities to enhance the utilization of these measures in regular clinical practice. To these ends, a 144-item survey was developed and administered to a national sample of 92 clinicians (physical and occupational therapy, recreational therapy, speech-language pathology, psychology and social work). Results indicate that a majority of participants reported using both functional and psychosocial measures. The three most assessed domains across disciplines were physical function (74%), activities of daily living (67%), and vital signs (57%), while speech and vocational assessments were measured less frequently. Utilization of psychological and social measures overall ranged from 39% for measures of community participation to 14% for work and economic outcomes. As function often plays a critical role in recovery, opportunities to enhance care may be realized by using a more comprehensive assessment strategy that includes both functional and psychosocial measures.

Introduction: The U.S. Department of Veterans Affairs (VA), the single largest health care system in the United States, provides comprehensive medical and behavioral health services to more than 9 million Veterans. The size and scope of the VA's system of care allow health care providers, policymakers, and community stakeholders to conduct detailed analyses of health care utilization among Veterans; however, these analyses do not include health care encounters that occur outside VA. Although many Veterans obtain care in non-VA settings, understanding health care utilization among vulnerable populations of Veterans, including those who are homeless or at risk of becoming homeless, is needed to identify potential opportunities to enhance access and reduce fragmentation of care., Materials and Methods: VA administrative data were merged with data from the Chicago HealthLNK Data Repository to identify Veterans eligible for VA services who were homeless, or at risk of becoming homeless, in the greater Chicago metropolitan area for the years 2010-2012., Results: During the 3-year study period, about 208,554 Veterans were registered for care at two VA medical centers located in the City of Chicago and an adjacent suburb. Of those, 13,948 were identified as homeless or at risk of becoming homeless. Results suggest that 17% (n = 2,309) of Veterans in this sample received some or all of their care in the community. Much of the care these Veterans received was for chronic health conditions, substance use, and mental health disorders., Conclusions: Veterans eligible for VA servicers who are homeless, or at risk of becoming homeless, frequently sought care in the community for a variety of chronic health conditions. Health information exchanges and partner-based registries may represent an important tool for identifying vulnerable Veteran populations while reducing duplication of care., (© Association of Military Surgeons of the United States 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)