The Incremental Value of Self-Reported Mental Health Measures in Predicting Functional Outcomes of Veterans

  • Susan V. Eisen
  • Kathryn A. Bottonari
  • Mark E. Glickman
  • Avron SpiroIII
  • Mark R. Schultz
  • Lawrence Herz
  • Robert Rosenheck
  • Ethan S. Rofman


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.



This research was supported by VA grant IIR 02-290 from the Veterans Administration Health Services Research & Development (HSR&D) Service. The work was conducted at the Center for Health Quality, Outcomes and Economic Research, a Health Services Research and Development Center of Excellence of the Veterans Administration located at the Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs. We thank Nicole DelVecchio for her assistance with manuscript preparation.

RH: Incremental Value of Self-Reported Mental Health Measures


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Copyright information

© Department of Veterans Affairs 2010

Authors and Affiliations

  • Susan V. Eisen
    • 1
  • Kathryn A. Bottonari
    • 2
  • Mark E. Glickman
    • 1
  • Avron SpiroIII
    • 3
  • Mark R. Schultz
    • 1
  • Lawrence Herz
    • 4
  • Robert Rosenheck
    • 4
  • Ethan S. Rofman
    • 5
  1. 1.Center for Health Quality, Outcomes and Economic Research (CHQOER)Edith Nourse Rogers Memorial Veterans HospitalBedfordUSA
  2. 2.Charlie Norwood VAMCAugustaUSA
  3. 3.Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC)Boston University School of Public HealthBostonUSA
  4. 4.NEPEC, VA Connecticut Healthcare SystemWest HavenUSA
  5. 5.VISN 1Edith Nourse Rogers Memorial Veterans HospitalBedfordUSA

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