Case-Finding Instruments for Depression in Primary Care Settings

  1. Cynthia D. Mulrow, MD, MSc;
  2. John W. Williams, MD, MHS;
  3. Meghan B. Gerety, MD;
  4. Gilbert Ramirez, DrPH;
  5. Oscar M. Montiel, MD; and
  6. Caroline Kerber, MD
  1. From the Audie L. Murphy Memorial Veterans Affairs Hospital, San Antonio, Texas. Requests for Reprints: Cynthia D. Mulrow, MD, MSc, Audie L. Murphy Memorial Veterans Hospital (11C6), 7400 Merton Minter Boulevard, San Antonio, TX 78284. Acknowledgments: The authors thank the many investigators who provided either raw data or reanalysis of data or who made unpublished information available. Grant Support: In part by a Robert Wood Johnson Generalist Physician Faculty Award and the Mexican American Medical Treatment Effectiveness Research Center funded by the Agency for Health Care Policy and Research.

    Abstract

    Objective: To evaluate the usefulness of case-finding instruments for identifying patients with major depression in primary care settings.

    Data Sources: A MEDLINE search of the English-language medical literature; bibliographies of selected papers; and experts.

    Study Selection: Studies that were done in primary care settings with unselected patients and that compared case-finding instruments with accepted diagnostic criterion standards for major depression were selected.

    Data Synthesis: 9 case-finding instruments were assessed in 18 studies. More than 15 000 patients received screening with a case-finding instrument; approximately 5300 of these received criterion standard assessment. Case-finding instruments ranged in length from 2 to 28 questions. Average administration times ranged from less than 2 minutes to 6 minutes. Sensitivities and specificities for detecting major depression ranged from 67% to 99% and from 40% to 95%, respectively. No significant differences between instruments were found. Overall sensitivity was 84% (95% CI, 79% to 89%); overall specificity was 72% (CI, 67% to 77%). If a case-finding instrument were administered to 100 primary care patients with a 5% prevalence of major depression, the clinician could expect that 31 patients would screen positive, that 4 of the 31 would have major depression, and that 1 patient with major depression would not be identified.

    Conclusions: Several instruments with reasonable operating characteristics are available to help primary care clinicians identify patients with major depression. Because the operating characteristics of these instruments are similar, selection of a particular instrument should depend on issues such as feasibility, administration and scoring times, and the instruments' ability to serve additional purposes, such as monitoring severity or response to therapy.

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