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Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective

INTRODUCTION: Mobile health (mHealth) technology can be used to integrate into medical decisionmaking for patients with advanced knee arthritis. We explored patient preferences on content and design of a mobile health app to facilitate daily symptom capture and summary feedback reporting, in order t...

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Detalles Bibliográficos
Autores principales: Zheng, Hua, Tulu, Bengisu, Choi, Wonchan, Franklin, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994956/
https://www.ncbi.nlm.nih.gov/pubmed/29930969
http://dx.doi.org/10.13063/2327-9214.1284
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author Zheng, Hua
Tulu, Bengisu
Choi, Wonchan
Franklin, Patricia
author_facet Zheng, Hua
Tulu, Bengisu
Choi, Wonchan
Franklin, Patricia
author_sort Zheng, Hua
collection PubMed
description INTRODUCTION: Mobile health (mHealth) technology can be used to integrate into medical decisionmaking for patients with advanced knee arthritis. We explored patient preferences on content and design of a mobile health app to facilitate daily symptom capture and summary feedback reporting, in order to inform treatment decisions, including use of total knee replacement surgery (TKR). METHODS: Patient focus groups were conducted to gather requirements for mHealth app development and to refine the design and content of the app. Clinician (physical therapist, surgeon) interviews were conducted to understand clinician expectations from the summary trend report generated by the app. RESULTS: Sixteen patients attended focus groups with an average age of 67 and 63% female, and three clinicians participated in clinician interviews. The preliminary findings revealed that the patients preferred easy tap user interfaces to multitap or slider methods, and vertical question layout to horizontal orientation. Patients liked to be engaged by progress feedback reports and educational tips. Both patients and clinicians found a trended outcome summary report helpful which provides more precise details on whether and how the symptoms are changing over time. DISCUSSION: User input can inform the design and implementation of mHealth technology to meet patient needs for their treatment decisions. Patient priorities must be considered through patient-centered app design.
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spelling pubmed-59949562018-06-21 Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective Zheng, Hua Tulu, Bengisu Choi, Wonchan Franklin, Patricia EGEMS (Wash DC) Research INTRODUCTION: Mobile health (mHealth) technology can be used to integrate into medical decisionmaking for patients with advanced knee arthritis. We explored patient preferences on content and design of a mobile health app to facilitate daily symptom capture and summary feedback reporting, in order to inform treatment decisions, including use of total knee replacement surgery (TKR). METHODS: Patient focus groups were conducted to gather requirements for mHealth app development and to refine the design and content of the app. Clinician (physical therapist, surgeon) interviews were conducted to understand clinician expectations from the summary trend report generated by the app. RESULTS: Sixteen patients attended focus groups with an average age of 67 and 63% female, and three clinicians participated in clinician interviews. The preliminary findings revealed that the patients preferred easy tap user interfaces to multitap or slider methods, and vertical question layout to horizontal orientation. Patients liked to be engaged by progress feedback reports and educational tips. Both patients and clinicians found a trended outcome summary report helpful which provides more precise details on whether and how the symptoms are changing over time. DISCUSSION: User input can inform the design and implementation of mHealth technology to meet patient needs for their treatment decisions. Patient priorities must be considered through patient-centered app design. Ubiquity Press 2017-04-20 /pmc/articles/PMC5994956/ /pubmed/29930969 http://dx.doi.org/10.13063/2327-9214.1284 Text en Copyright: © 2018 The Author(s) https://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0), which permits unrestricted use and distribution, for non-commercial purposes, as long as the original material has not been modified, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/3.0/.
spellingShingle Research
Zheng, Hua
Tulu, Bengisu
Choi, Wonchan
Franklin, Patricia
Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective
title Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective
title_full Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective
title_fullStr Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective
title_full_unstemmed Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective
title_short Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective
title_sort using mhealth app to support treatment decision-making for knee arthritis: patient perspective
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994956/
https://www.ncbi.nlm.nih.gov/pubmed/29930969
http://dx.doi.org/10.13063/2327-9214.1284
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