The Incremental Value of Self-Reported Mental Health Measures in Predicting Functional Outcomes of Veterans
ABSTRACT Research on patient-centered care supports use of patient/consumer self-report measures in monitoring health outcomes. This study examined the incremental value of self-report mental health measures relative to a clinician-rated measure in predicting functional outcomes among mental health service recipients. Participants (n = 446) completed the Behavior and Symptom Identification Scale, the Brief Symptom Inventory, and the Veterans/Rand Short Form-36 at enrollment in the study (T1) and 3 months later (T2). Global Assessment of Functioning (GAF) ratings, mental health service utilization, and psychiatric diagnoses were obtained from administrative data files. Controlling for demographic and clinical variables, results indicated that improvement based on the self-report measures significantly predicted one or more functional outcomes (i.e., decreased likelihood of post-enrollment psychiatric hospitalization and increased likelihood of paid employment), above and beyond the predictive value of the GAF. Inclusion of self-report measures may be a useful addition to performance measurement efforts.
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- "Staff recovery orientation is a key dimension of health care quality (Eisen et al., 2011; Institute of Medicine, 2001; Kupfer & Bond, 2012). It comprises a range of patient-centered practices (e.g., involving patients and their families in the treatment planning process; identifying other life goals of patients; introducing patients to role models/mentors; expressing high expectations for a patient's recovery ). "
ABSTRACT: Understanding patients’ perceptions of care is essential for health care systems. We examined predictors of perceptions of behavioral health care (satisfaction with care, helpfulness of care, perceived improvement) among veterans with substance use disorders (SUD; n = 1,581) who participated in a phone survey as part of a national evaluation of mental health services in the U.S. Veterans Health Administration. In multivariate analyses, SUD specialty care utilization and higher mental health functioning were associated positively with all perceptions of care, and comorbid schizophrenia, bipolar, and PTSD were associated positively with multiple perceptions of care. Perceived helpfulness of care was associated with receipt of SUD specialty care in the prior 12 months (adjusted OR = 1.77, p < .001). Controlling for patient characteristics, satisfaction with care exhibited strong associations with perceptions of staff as supportive and empathic, whereas perceived improvement was strongly linked to the perception that staff helped patients develop goals beyond symptom management. Survey responses that account for variation in SUD patients’ perceptions of care could inform and guide quality improvement efforts with this population.Journal of Substance Abuse Treatment 08/2014; DOI:10.1016/j.jsat.2014.03.005 · 3.14 Impact Factor
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ABSTRACT: We examined (1) mental and physical health symptoms and functioning in US veterans within 1 year of returning from deployment, and (2) differences by gender, service component (Active, National Guard, other Reserve), service branch (Army, Navy, Air Force, Marines), and deployment operation (Operation Enduring Freedom/Operation Iraqi Freedom [OEF/OIF]). We surveyed a national sample of 596 OEF/OIF veterans, oversampling women to make up 50% of the total, and National Guard and Reserve components to each make up 25%. Weights were applied to account for stratification and nonresponse bias. Mental health functioning was significantly worse compared with the general population; 13.9% screened positive for probable posttraumatic stress disorder, 39% for probable alcohol abuse, and 3% for probable drug abuse. Men reported more alcohol and drug use than did women, but there were no gender differences in posttraumatic stress disorder or other mental health domains. OIF veterans reported more depression or functioning problems and alcohol and drug use than did OEF veterans. Army and Marine veterans reported worse mental and physical health than did Air Force or Navy veterans. Continuing identification of veterans at risk for mental health and substance use problems is important for evidence-based interventions intended to increase resilience and enhance treatment.American Journal of Public Health 03/2012; 102 Suppl 1:S66-73. DOI:10.2105/AJPH.2011.300609 · 4.23 Impact Factor
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ABSTRACT: Objective To determine if a previously published model of the influence of self-rated health on physical, mental, and social health among patients with joint replacement surgery could be generalized to persons with symptomatic knee osteoarthritis (OA). Our second purpose was to determine if self-rated health mediated changes in physical, mental, and social health. Methods Persons with symptomatic knee OA (n = 1,127) who participated in the Osteoarthritis Initiative study completed the required measures at baseline and at 1-, 2-, and 3-year intervals. The key variable of interest was a single-item self-rated health measure. In addition, measures of physical, mental, and social health and a set of covariate measures over the 3-year period were analyzed. Structural equation modeling was used to test interrelationships among variables, as well as predictive and mediational relationships among self-rated health and mental, physical, and social health after adjusting for baseline covariates. ResultsThe full model demonstrated good statistical fit. Prior self-rated health consistently predicted current mental health and social health. Prior social health predicted current self-rated health. Self-rated health also mediated changes in mental health and social health. Only social health changes were mediated by self-rated health over all time periods. Conclusion Self-rated health predicts a variety of outcomes of symptomatic knee OA. In addition, self-rated health mediates changes in social health and mental health. The use of self-rated health as a simple and efficient clinical assessment has potential for clinical utility because of its predictive capability and association with multiple health domains.02/2013; 65(2). DOI:10.1002/acr.21661