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.
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.
- Content Type Journal Article
- DOI 10.1007/s11414-010-9216-9
- Authors
- Susan V. Eisen, Center for Health Quality, Outcomes and Economic Research (CHQOER), Edith Nourse Rogers Memorial Veterans Hospital, 200 Springs Road (152), Bedford, MA 01730, USA
- Kathryn A. Bottonari, Charlie Norwood VAMC, 1 Freedom Way (261), Augusta, GA 30904, USA
- Mark E. Glickman, Center for Health Quality, Outcomes and Economic Research (CHQOER), Edith Nourse Rogers Memorial Veterans Hospital, 200 Springs Road (152), Bedford, MA 01730, USA
- Avron Spiro, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Boston University School of Public Health, VA Boston Healthcare System, 150 South Huntington Avenue, Boston, MA 02130, USA
- Mark R. Schultz, Center for Health Quality, Outcomes and Economic Research (CHQOER), Edith Nourse Rogers Memorial Veterans Hospital, 200 Springs Road (152), Bedford, MA 01730, USA
- Lawrence Herz, NEPEC, VA Connecticut Healthcare System, 950 Campbell Ave, West Haven, CT USA
- Robert Rosenheck, NEPEC, VA Connecticut Healthcare System, 950 Campbell Ave, West Haven, CT USA
- Ethan S. Rofman, VISN 1, Edith Nourse Rogers Memorial Veterans Hospital, 200 Springs Road (116A), Bedford, MA 01730, USA
- Journal The Journal of Behavioral Health Services and Research
- Online ISSN 1556-3308
- Print ISSN 1094-3412