Literature DB >> 7783305

Automated telephone screening survey for depression.

L Baer1, D G Jacobs, P Cukor, J O'Laughlen, J T Coyle, K M Magruder.   

Abstract

OBJECTIVE: To test the application of fully automated telephone screening using computerized digital voice recordings and touch-tone responses to assess symptoms of depression.
DESIGN: A cross-sectional study of a 2-week-long telephone survey.
SETTING: Toll-free telephone calls placed from home, work, or school to a central telephone/computer system at a telecommunications company in the Boston, Mass, area. PARTICIPANTS: A total of 1812 participants called the system. Of these, 278 were students and faculty at a large midwestern state university, 725 were employees of a large northeastern high-technology firm, and 809 did not identify which site they were calling from. MAIN OUTCOME MEASURES: The 20-question multiple-choice Zung Depression Scale was used to screen for depressive symptoms, and additional questions gathered demographic and caller satisfaction information.
RESULTS: No technical problems were encountered during the trial. Of 1812 callers, 1597 (88.1%) completed all questions. Of these, 412 callers (25.8%) met criteria for "moderate or marked" depression and another 194 (12.1%) met criteria for "severe or extreme" depression. The majority of callers scoring positive for depression had received no previous treatment for depression. Of callers who completed the screening questionnaire, 74.6% reported the call to have been at least "moderately" helpful.
CONCLUSION: Readily available low-cost technology provides a fully automated, widely accessible, and confidential method of screening for a common mental illness.

Entities:  

Mesh:

Year:  1995        PMID: 7783305

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  12 in total

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Authors:  Helen G Kim; Joni Geppert; Tu Quan; Yiscah Bracha; Virginia Lupo; Diana B Cutts
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5.  A randomized trial of weekly symptom telemonitoring in advanced lung cancer.

Authors:  Susan E Yount; Nan Rothrock; Michael Bass; Jennifer L Beaumont; Deborah Pach; Thomas Lad; Jyoti Patel; Maria Corona; Rebecca Weiland; Katherine Del Ciello; David Cella
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8.  Effects of a multimedia project on users' knowledge about normal forgetting and serious memory loss.

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Review 10.  Interactive voice response technology for symptom monitoring and as an adjunct to the treatment of chronic pain.

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