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Machbarkeit und Akzeptanz Computer-gestützter Indikationsdiagnostik (CgID) zur Identifizierung psychosozial belasteter Patienten im klinischen Alltag

Translated title of the contribution: Feasibility and acceptance of computer-based assessment for the identification of psychosocially distressed patients in routine clinical care
  • Susanne Sehlen
  • , Martin Ott
  • , Birgitt Marten-Mittag
  • , Wolfgang Haimerl
  • , Andreas Dinkel
  • , Eckhart Duehmke
  • , Christian Klein
  • , Christof Schaefer
  • , Peter Herschbach
  • Praxis für Zahnheilkunde
  • Technical University of Munich
  • Ludwig-Maximilians-Universität München
  • Zahnarztpraxis in München
  • Klinikum Straubing

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This study investigated feasibility and acceptance of computer-based assessment for the identification of psychosocial distress in routine radiotherapy care. 155 cancer patients were assessed using QSC-R10, PO-Bado-SF and Mach-9. The congruence between computerized tablet PC and conventional paper assessment was analysed in 50 patients. The agreement between the 2 modes was high (ICC 0.869-0.980). Acceptance of computer-based assessment was very high (>95%). Sex, age, education, distress and Karnofsky performance status (KPS) did not influence acceptance. Computerized assessment was rated more difficult by older patients (p=0.039) and patients with low KPS (p=0.020). 75.5% of the respondents supported referral for psycho-social intervention for distressed patients. The prevalence of distress was 27.1% (QSC-R10). Computer-based assessment allows easy identification of distressed patients. Level of staff involvement is low, and the results are quickly available for care providers.

Translated title of the contributionFeasibility and acceptance of computer-based assessment for the identification of psychosocially distressed patients in routine clinical care
Original languageGerman
Pages (from-to)276-283
Number of pages8
JournalPPmP Psychotherapie Psychosomatik Medizinische Psychologie
Volume62
Issue number7
DOIs
StatePublished - 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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