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Benditz, Achim ; Pulido, Loreto C. ; Grifka, Joachim ; Ripke, Fabian ; Jansen, Petra

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

Artikel

Benditz, Achim , Pulido, Loreto C., Grifka, Joachim, Ripke, Fabian und Jansen, Petra (2021) A clinical decision support system in back pain helps to find the diagnosis: a prospective correlation study. Archives of Orthopaedic and Trauma Surgery.

DOI zum Zitieren dieses Dokuments: 10.5283/epub.47756


Zusammenfassung

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 ...

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.



Beteiligte Einrichtungen


Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftArchives of Orthopaedic and Trauma Surgery
VerlagSPRINGER
Open Access ArtDEAL (Springer)
Ort der VeröffentlichungNEW YORK
Datum4 August 2021
Veröffentlichungsdatum05 Aug 2021 04:22
InstitutionenMedizin > Lehrstuhl für Orthopädie
Humanwissenschaften > Institut für Sportwissenschaft
Identifikationsnummer
WertTyp
10.1007/s00402-021-04080-yDOI
Stichwörter / KeywordsDecision support system; Back pain; Symptom checker; App-based decision
Dewey-Dezimal-Klassifikation600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenZum Teil
URN der UB Regensburgurn:nbn:de:bvb:355-epub-477564
Dokumenten-ID47756

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