A clinical decision support system in back pain helps to find the diagnosis: a prospective correlation study

Benditz, Achim and Pulido, Loreto C. and Grifka, Joachim and Ripke, Fabian and Jansen, Petra (2023) A clinical decision support system in back pain helps to find the diagnosis: a prospective correlation study. ARCHIVES OF ORTHOPAEDIC AND TRAUMA SURGERY, 143. pp. 621-625. ISSN 0936-8051, 1434-3916

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Abstract

The aim of this study is to show the concordance of an app-based decision support system and the diagnosis given by spinal surgeons in cases of back pain. 86 patients took part within 2 months. They were seen by spine surgeons in the daily routine and then completed an app-based questionnaire that also led to a diagnosis independently. The results showed a Cramer's V = .711 (p < .001), which can be taken as a strong relation between the tool and the diagnosis of the medical doctor. Besides, in 67.4% of the cases, the diagnosis was concordant. An overestimation of the severity of the diagnosis occurred more often than underestimation (15.1% vs. 7%). The app-based tool is a safe tool to support healthcare professionals in back pain diagnosis.

Item Type: Article
Uncontrolled Keywords: Decision support system; Back pain; Symptom checker; App-based decision
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Orthopädie
Human Sciences > Institut für Sportwissenschaft
Depositing User: Petra Gürster
Date Deposited: 07 Nov 2024 07:48
Last Modified: 07 Nov 2024 07:48
URI: https://pred.uni-regensburg.de/id/eprint/46912

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