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Decision Aid on Orthopedic Virtual Care: Patient Preferences in Orthopedic Hand Clinic.
- Source :
-
Telemedicine journal and e-health : the official journal of the American Telemedicine Association [Telemed J E Health] 2023 Nov; Vol. 29 (11), pp. 1730-1737. Date of Electronic Publication: 2023 Apr 19. - Publication Year :
- 2023
-
Abstract
- Introduction: The objectives of this study are to develop a decision aid for orthopedic patients to decide between virtual or in-person care and assess patient preferences for these modalities in hand clinic. Methods: An orthopedic virtual care decision aid was developed alongside orthopedic surgeons and a virtual care expert. Subject participation involved 5 steps: Orientation, Memory, and Concentration Test (OMCT), knowledge pretest, decision aid, postdecision aid questionnaire, and Decisional Conflict Scale (DCS) assessment. Patients presenting to hand clinic were initially provided the OMCT to assess decision-making capacity, with those failing excluded. Subjects were then administered a pretest to assess their understanding of virtual and in-person care. Subsequently, the validated decision aid was provided to patients, after which a postdecision aid questionnaire and DCS assessment were administered. Results: This study enrolled 124 patients. Pre- to postdecision aid knowledge test scores increased by 15.3% ( p < 0.0001), and the average patient DCS score was 18.6. After reading the decision aid, 47.6% of patients believed that virtual and in-person care provided similar physician interaction, 46.0% felt little difference in effectiveness between the modalities, and 39.5% had no preference for either. Most patients understood their options (79.8%) and were ready to make a care modality decision (65.4%) following decision aid administration. Conclusion: Significant improvements in knowledge scores, strong DCS scores, and high levels of understanding and decision-making readiness support decision aid validity. Hand patients appear to have no consensus preferences for care modality, emphasizing the need for a decision aid to help determine individual care preferences.
Details
- Language :
- English
- ISSN :
- 1556-3669
- Volume :
- 29
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Telemedicine journal and e-health : the official journal of the American Telemedicine Association
- Publication Type :
- Academic Journal
- Accession number :
- 37074349
- Full Text :
- https://doi.org/10.1089/tmj.2022.0214