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Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations
BACKGROUND: The ubiquity of health wearables and the consequent production of patient-generated health data (PGHD) are rapidly escalating. However, the utilization of PGHD in routine clinical practices is still low because of data quality issues. There is no agreed approach to PGHD quality assurance...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003125/ https://www.ncbi.nlm.nih.gov/pubmed/32012090 http://dx.doi.org/10.2196/15329 |
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author | Abdolkhani, Robab Gray, Kathleen Borda, Ann DeSouza, Ruth |
author_facet | Abdolkhani, Robab Gray, Kathleen Borda, Ann DeSouza, Ruth |
author_sort | Abdolkhani, Robab |
collection | PubMed |
description | BACKGROUND: The ubiquity of health wearables and the consequent production of patient-generated health data (PGHD) are rapidly escalating. However, the utilization of PGHD in routine clinical practices is still low because of data quality issues. There is no agreed approach to PGHD quality assurance; therefore, realizing the promise of PGHD requires in-depth discussion among diverse stakeholders to identify the data quality assurance challenges they face and understand their needs for PGHD quality assurance. OBJECTIVE: This paper reports findings from a workshop aimed to explore stakeholders’ data quality challenges, identify their needs and expectations, and offer practical solutions. METHODS: A qualitative multi-stakeholder workshop was conducted as a half-day event on the campus of an Australian University located in a major health care precinct, namely the Melbourne Parkville Precinct. The 18 participants had experience of PGHD use in clinical care, including people who identified as health care consumers, clinical care providers, wearables suppliers, and health information specialists. Data collection was done by facilitators capturing written notes of the proceedings as attendees engaged in participatory design activities in written and oral formats, using a range of whole-group and small-group interactive methods. The collected data were analyzed thematically, using deductive and inductive coding. RESULTS: The participants’ discussions revealed a range of technical, behavioral, operational, and organizational challenges surrounding PGHD, from the time when data are collected by patients to the time data are used by health care providers for clinical decision making. PGHD stakeholders found consensus on training and engagement needs, continuous collaboration among stakeholders, and development of technical and policy standards to assure PGHD quality. CONCLUSIONS: Assuring PGHD quality is a complex process that requires the contribution of all PGHD stakeholders. The variety and depth of inputs in our workshop highlighted the importance of co-designing guidance for PGHD quality guidance. |
format | Online Article Text |
id | pubmed-7003125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-70031252020-02-20 Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations Abdolkhani, Robab Gray, Kathleen Borda, Ann DeSouza, Ruth JMIR Mhealth Uhealth Original Paper BACKGROUND: The ubiquity of health wearables and the consequent production of patient-generated health data (PGHD) are rapidly escalating. However, the utilization of PGHD in routine clinical practices is still low because of data quality issues. There is no agreed approach to PGHD quality assurance; therefore, realizing the promise of PGHD requires in-depth discussion among diverse stakeholders to identify the data quality assurance challenges they face and understand their needs for PGHD quality assurance. OBJECTIVE: This paper reports findings from a workshop aimed to explore stakeholders’ data quality challenges, identify their needs and expectations, and offer practical solutions. METHODS: A qualitative multi-stakeholder workshop was conducted as a half-day event on the campus of an Australian University located in a major health care precinct, namely the Melbourne Parkville Precinct. The 18 participants had experience of PGHD use in clinical care, including people who identified as health care consumers, clinical care providers, wearables suppliers, and health information specialists. Data collection was done by facilitators capturing written notes of the proceedings as attendees engaged in participatory design activities in written and oral formats, using a range of whole-group and small-group interactive methods. The collected data were analyzed thematically, using deductive and inductive coding. RESULTS: The participants’ discussions revealed a range of technical, behavioral, operational, and organizational challenges surrounding PGHD, from the time when data are collected by patients to the time data are used by health care providers for clinical decision making. PGHD stakeholders found consensus on training and engagement needs, continuous collaboration among stakeholders, and development of technical and policy standards to assure PGHD quality. CONCLUSIONS: Assuring PGHD quality is a complex process that requires the contribution of all PGHD stakeholders. The variety and depth of inputs in our workshop highlighted the importance of co-designing guidance for PGHD quality guidance. JMIR Publications 2020-01-22 /pmc/articles/PMC7003125/ /pubmed/32012090 http://dx.doi.org/10.2196/15329 Text en ©Robab Abdolkhani, Kathleen Gray, Ann Borda, Ruth DeSouza. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 22.01.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Abdolkhani, Robab Gray, Kathleen Borda, Ann DeSouza, Ruth Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations |
title | Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations |
title_full | Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations |
title_fullStr | Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations |
title_full_unstemmed | Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations |
title_short | Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations |
title_sort | quality assurance of health wearables data: participatory workshop on barriers, solutions, and expectations |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003125/ https://www.ncbi.nlm.nih.gov/pubmed/32012090 http://dx.doi.org/10.2196/15329 |
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