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Development and Usability Testing of an Exercise-Based Primary Care Fall Prevention Clinical Decision Support Tool.
Tejeda, Christian J; Garabedian, Pamela M; Rice, Hannah; Samal, Lipika; Latham, Nancy K; Dykes, Patricia C.
Afiliación
  • Tejeda CJ; Brigham and Women's Hospital, Boston, MA.
  • Garabedian PM; Brigham and Women's Hospital, Boston, MA.
  • Rice H; Brigham and Women's Hospital, Boston, MA.
  • Samal L; Brigham and Women's Hospital, Boston, MA.
  • Latham NK; Brigham and Women's Hospital, Boston, MA.
  • Dykes PC; Brigham and Women's Hospital, Boston, MA.
AMIA Annu Symp Proc ; 2023: 699-708, 2023.
Article en En | MEDLINE | ID: mdl-38222393
ABSTRACT
For older patients, falls are the leading cause offatal and nonfatal injuries. Guidelines recommend that at-risk older adults are referred to appropriate fall-prevention exercise programs, but many do not receive support for fall-risk management in the primary care setting. Advances in health information technology may be able to address this gap. This article describes the development and usability testing of a clinical decision support (CDS) tool for fall prevention exercise. Using rapid qualitative analysis and human-centered design, our team developed and tested the usability of our CDS prototype with primary care team members. Across 31 Health-Information Technology Usability Evaluation Scale surveys, our CDS prototype received a median score of 5.0, mean (SD) of 4.5 (0.8), and a range of 4.1-4.9. This study highlights the features and usability offall prevention CDS for helping primary care providers deliver patient-centeredfall prevention care.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Aged / Humans Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Marruecos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Aged / Humans Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Marruecos