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Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management
IMPORTANCE: Patients will decide whether to adopt remote digital monitoring (RDM) for diabetes by weighing its health benefits against the inconvenience it may cause. OBJECTIVE: To identify the minimum effectiveness patients report they require to adopt 36 different RDM scenarios. DESIGN, SETTING, A...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807289/ https://www.ncbi.nlm.nih.gov/pubmed/33439263 http://dx.doi.org/10.1001/jamanetworkopen.2020.33115 |
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author | Oikonomidi, Theodora Ravaud, Philippe Cosson, Emmanuel Montori, Victor Tran, Viet Thi |
author_facet | Oikonomidi, Theodora Ravaud, Philippe Cosson, Emmanuel Montori, Victor Tran, Viet Thi |
author_sort | Oikonomidi, Theodora |
collection | PubMed |
description | IMPORTANCE: Patients will decide whether to adopt remote digital monitoring (RDM) for diabetes by weighing its health benefits against the inconvenience it may cause. OBJECTIVE: To identify the minimum effectiveness patients report they require to adopt 36 different RDM scenarios. DESIGN, SETTING, AND PARTICIPANTS: This survey study was conducted among adults with type 1 or type 2 diabetes living in 30 countries from February to July 2019. EXPOSURES: Survey participants assessed 3 randomly selected scenarios from a total of 36. Scenarios described different combinations of digital monitoring tools (glucose, physical activity, food monitoring), duration and feedback loops (feedback in consultation vs real-time telefeedback by a health care professional or by artificial intelligence), and data handling modalities (by a public vs private company), reflecting different degrees of RDM intrusiveness in patients’ personal lives. MAIN OUTCOMES AND MEASURES: Participants assessed the minimum effectiveness for 2 diabetes-related outcomes (reducing hypoglycemic episodes and preventing ophthalmologic complications) for which they would adopt each RDM (from much less effective to much more effective than their current monitoring). RESULTS: Of 1577 individuals who consented to participate, 1010 (64%; 572 [57%] women, median [interquartile range] age, 51 [37-63] years, 524 [52%] with type 1 diabetes) assessed at least 1 vignette. Overall, 2860 vignette assessments were collected. In 1025 vignette assessments (36%), participants would adopt RDM only if it was much more effective at reducing hypoglycemic episodes compared with their current monitoring; in 1835 assessments (65%), participants would adopt RDM if was just as or somewhat more effective. The main factors associated with required effectiveness were food monitoring (β = 0.32; SE, 0.12; P = .009), real-time telefeedback by a health care professional (β = 0.49; SE, 0.15; P = .001), and perceived intrusiveness (β = 0.36; SE, 0.06; P < .001). Minimum required effectiveness varied among participants; 34 of 36 RDM scenarios (94%) were simultaneously required to be just as or less effective by at least 25% of participants and much more effective by at least 25% of participants. Results were similar for participant assessments of scenarios regarding the prevention of ophthalmologic complications. CONCLUSIONS AND RELEVANCE: The findings of this study suggest that patients require greater health benefits to adopt more intrusive RDM modalities, food monitoring, and real-time feedback by a health care professional. Patient monitoring devices should be designed to be minimally intrusive. The variability in patients’ requirements points to a need for shared decision-making. |
format | Online Article Text |
id | pubmed-7807289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-78072892021-01-21 Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management Oikonomidi, Theodora Ravaud, Philippe Cosson, Emmanuel Montori, Victor Tran, Viet Thi JAMA Netw Open Original Investigation IMPORTANCE: Patients will decide whether to adopt remote digital monitoring (RDM) for diabetes by weighing its health benefits against the inconvenience it may cause. OBJECTIVE: To identify the minimum effectiveness patients report they require to adopt 36 different RDM scenarios. DESIGN, SETTING, AND PARTICIPANTS: This survey study was conducted among adults with type 1 or type 2 diabetes living in 30 countries from February to July 2019. EXPOSURES: Survey participants assessed 3 randomly selected scenarios from a total of 36. Scenarios described different combinations of digital monitoring tools (glucose, physical activity, food monitoring), duration and feedback loops (feedback in consultation vs real-time telefeedback by a health care professional or by artificial intelligence), and data handling modalities (by a public vs private company), reflecting different degrees of RDM intrusiveness in patients’ personal lives. MAIN OUTCOMES AND MEASURES: Participants assessed the minimum effectiveness for 2 diabetes-related outcomes (reducing hypoglycemic episodes and preventing ophthalmologic complications) for which they would adopt each RDM (from much less effective to much more effective than their current monitoring). RESULTS: Of 1577 individuals who consented to participate, 1010 (64%; 572 [57%] women, median [interquartile range] age, 51 [37-63] years, 524 [52%] with type 1 diabetes) assessed at least 1 vignette. Overall, 2860 vignette assessments were collected. In 1025 vignette assessments (36%), participants would adopt RDM only if it was much more effective at reducing hypoglycemic episodes compared with their current monitoring; in 1835 assessments (65%), participants would adopt RDM if was just as or somewhat more effective. The main factors associated with required effectiveness were food monitoring (β = 0.32; SE, 0.12; P = .009), real-time telefeedback by a health care professional (β = 0.49; SE, 0.15; P = .001), and perceived intrusiveness (β = 0.36; SE, 0.06; P < .001). Minimum required effectiveness varied among participants; 34 of 36 RDM scenarios (94%) were simultaneously required to be just as or less effective by at least 25% of participants and much more effective by at least 25% of participants. Results were similar for participant assessments of scenarios regarding the prevention of ophthalmologic complications. CONCLUSIONS AND RELEVANCE: The findings of this study suggest that patients require greater health benefits to adopt more intrusive RDM modalities, food monitoring, and real-time feedback by a health care professional. Patient monitoring devices should be designed to be minimally intrusive. The variability in patients’ requirements points to a need for shared decision-making. American Medical Association 2021-01-13 /pmc/articles/PMC7807289/ /pubmed/33439263 http://dx.doi.org/10.1001/jamanetworkopen.2020.33115 Text en Copyright 2021 Oikonomidi T et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Oikonomidi, Theodora Ravaud, Philippe Cosson, Emmanuel Montori, Victor Tran, Viet Thi Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management |
title | Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management |
title_full | Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management |
title_fullStr | Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management |
title_full_unstemmed | Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management |
title_short | Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management |
title_sort | evaluation of patient willingness to adopt remote digital monitoring for diabetes management |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807289/ https://www.ncbi.nlm.nih.gov/pubmed/33439263 http://dx.doi.org/10.1001/jamanetworkopen.2020.33115 |
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