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Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank

INTRODUCTION: Patient-reported outcome measures (PROMs) allow patients to self-report the status of their health condition or experience independently. A key area for PROMs to contribute in building the evidence base is in understanding the effects of using person-generated health data (PGHD), and u...

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Autores principales: Dimaguila, Gerardo Luis, Gray, Kathleen, Merolli, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062343/
https://www.ncbi.nlm.nih.gov/pubmed/31401587
http://dx.doi.org/10.1136/bmjhci-2019-100070
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author Dimaguila, Gerardo Luis
Gray, Kathleen
Merolli, Mark
author_facet Dimaguila, Gerardo Luis
Gray, Kathleen
Merolli, Mark
author_sort Dimaguila, Gerardo Luis
collection PubMed
description INTRODUCTION: Patient-reported outcome measures (PROMs) allow patients to self-report the status of their health condition or experience independently. A key area for PROMs to contribute in building the evidence base is in understanding the effects of using person-generated health data (PGHD), and using PROMs to measure outcomes of using PGHD has been suggested in the literature. Key considerations inherent in the stroke rehabilitation context makes the measurement of PGHD outcomes in home-based poststroke rehabilitation, which uses body-tracking technologies, an important use case. OBJECTIVE: This paper describes the development of a preliminary item bank of a PROM-PGHD for Kinect-based stroke rehabilitation systems (K-SRS), or PROM-PGHD for K-SRS. METHODS: The authors designed a method to develop PROMs of using PGHD, or PROM-PGHD. The PROM-PGHD Development Method was designed by augmenting a key PROM development process, the Qualitative Item Review, and follows PROM development best practice. It has five steps, namely, literature review; binning and winnowing; initial item revision; eliciting patient input and final item Revision. RESULTS: A preliminary item bank of the PROM-PGHD for K-SRS is presented. This is the result of implementing the first three steps of the PROM-PGHD Development Method within the domains of interest, that is, stroke and Kinect-based simulated rehabilitation. CONCLUSIONS: This paper has set out a case study of our method, showing what needs to be done to ensure that the PROM-PGHD items are suited to the health condition and technology category. We described it as a case study because we argue that it is possible for the PROM-PGHD method to be used by others to measure effects of PGHD utilisation in other cases of health conditions and technology categories. Hence, it offers generalisability and has broader clinical relevance for evidence-based practice with PGHD. This paper is the first to offer a case study of developing a PROM-PGHD.
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spelling pubmed-70623432020-09-30 Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank Dimaguila, Gerardo Luis Gray, Kathleen Merolli, Mark BMJ Health Care Inform Original Research INTRODUCTION: Patient-reported outcome measures (PROMs) allow patients to self-report the status of their health condition or experience independently. A key area for PROMs to contribute in building the evidence base is in understanding the effects of using person-generated health data (PGHD), and using PROMs to measure outcomes of using PGHD has been suggested in the literature. Key considerations inherent in the stroke rehabilitation context makes the measurement of PGHD outcomes in home-based poststroke rehabilitation, which uses body-tracking technologies, an important use case. OBJECTIVE: This paper describes the development of a preliminary item bank of a PROM-PGHD for Kinect-based stroke rehabilitation systems (K-SRS), or PROM-PGHD for K-SRS. METHODS: The authors designed a method to develop PROMs of using PGHD, or PROM-PGHD. The PROM-PGHD Development Method was designed by augmenting a key PROM development process, the Qualitative Item Review, and follows PROM development best practice. It has five steps, namely, literature review; binning and winnowing; initial item revision; eliciting patient input and final item Revision. RESULTS: A preliminary item bank of the PROM-PGHD for K-SRS is presented. This is the result of implementing the first three steps of the PROM-PGHD Development Method within the domains of interest, that is, stroke and Kinect-based simulated rehabilitation. CONCLUSIONS: This paper has set out a case study of our method, showing what needs to be done to ensure that the PROM-PGHD items are suited to the health condition and technology category. We described it as a case study because we argue that it is possible for the PROM-PGHD method to be used by others to measure effects of PGHD utilisation in other cases of health conditions and technology categories. Hence, it offers generalisability and has broader clinical relevance for evidence-based practice with PGHD. This paper is the first to offer a case study of developing a PROM-PGHD. BMJ Publishing Group 2019-08-09 /pmc/articles/PMC7062343/ /pubmed/31401587 http://dx.doi.org/10.1136/bmjhci-2019-100070 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Dimaguila, Gerardo Luis
Gray, Kathleen
Merolli, Mark
Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank
title Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank
title_full Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank
title_fullStr Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank
title_full_unstemmed Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank
title_short Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank
title_sort measuring the outcomes of using person-generated health data: a case study of developing a prom item bank
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062343/
https://www.ncbi.nlm.nih.gov/pubmed/31401587
http://dx.doi.org/10.1136/bmjhci-2019-100070
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