Your browser doesn't support javascript.
loading
A clinical decision support system in back pain helps to find the diagnosis: a prospective correlation study.
Benditz, Achim; Pulido, Loreto C; Grifka, Joachim; Ripke, Fabian; Jansen, Petra.
Afiliación
  • Benditz A; Department of Orthopaedics, University Medical Centre Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V-Allee 3, 93077, Bad Abbach, Germany. achim.benditz@ukr.de.
  • Pulido LC; Department of Orthopaedics, University Medical Centre Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V-Allee 3, 93077, Bad Abbach, Germany.
  • Grifka J; Department of Orthopaedics, University Medical Centre Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V-Allee 3, 93077, Bad Abbach, Germany.
  • Ripke F; Allianz Digital Health GmbH, Willy-Brandt-Platz 3, 81829, München, Germany.
  • Jansen P; Department of Sport Science, University of Regensburg, Universitaetsstraße 31, 93053, Regensburg, Germany.
Arch Orthop Trauma Surg ; 143(2): 621-625, 2023 Feb.
Article en En | MEDLINE | ID: mdl-34347121
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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Arch Orthop Trauma Surg Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Arch Orthop Trauma Surg Año: 2023 Tipo del documento: Article País de afiliación: Alemania
...