Cargando…

Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample

BACKGROUND:  With 425 million individuals globally living with diabetes, it is critical to support the self-management of this life-threatening condition. However, adherence and engagement with existing technologies are inadequate and need further research. OBJECTIVE:  The objective of our study was...

Descripción completa

Detalles Bibliográficos
Autores principales: Zahed, Karim, Mehta, Ranjana, Erraguntla, Madhav, Qaraqe, Khalid, Sasangohar, Farzan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193211/
https://www.ncbi.nlm.nih.gov/pubmed/37133906
http://dx.doi.org/10.2196/41501
_version_ 1785043791880650752
author Zahed, Karim
Mehta, Ranjana
Erraguntla, Madhav
Qaraqe, Khalid
Sasangohar, Farzan
author_facet Zahed, Karim
Mehta, Ranjana
Erraguntla, Madhav
Qaraqe, Khalid
Sasangohar, Farzan
author_sort Zahed, Karim
collection PubMed
description BACKGROUND:  With 425 million individuals globally living with diabetes, it is critical to support the self-management of this life-threatening condition. However, adherence and engagement with existing technologies are inadequate and need further research. OBJECTIVE:  The objective of our study was to develop an integrated belief model that helps identify the significant constructs in predicting intention to use a diabetes self-management device for the detection of hypoglycemia. METHODS:  Adults with type 1 diabetes living in the United States were recruited through Qualtrics to take a web-based questionnaire that assessed their preferences for a device that monitors their tremors and alerts them of the onset of hypoglycemia. As part of this questionnaire, a section focused on eliciting their response to behavioral constructs from the Health Belief Model, Technology Acceptance Model, and others. RESULTS:  A total of 212 eligible participants responded to the Qualtrics survey. Intention to use a device for the self-management of diabetes was well predicted (R(2)=0.65; F(12,199)=27.19; P<.001) by 4 main constructs. The most significant constructs were perceived usefulness (β=.33; P<.001) and perceived health threat (β=.55; P<.001) followed by cues to action (β=.17; P<.001) and a negative effect from resistance to change (β=−.19; P<.001). Older age (β=.025; P<.001) led to an increase in their perceived health threat. CONCLUSIONS: For individuals to use such a device, they need to perceive it as useful, perceive diabetes as life-threatening, regularly remember to perform actions to manage their condition, and exhibit less resistance to change. The model predicted the intention to use a diabetes self-management device as well, with several constructs found to be significant. This mental modeling approach can be complemented in future work by field-testing with physical prototype devices and assessing their interaction with the device longitudinally.
format Online
Article
Text
id pubmed-10193211
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-101932112023-05-19 Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample Zahed, Karim Mehta, Ranjana Erraguntla, Madhav Qaraqe, Khalid Sasangohar, Farzan JMIR Diabetes Original Paper BACKGROUND:  With 425 million individuals globally living with diabetes, it is critical to support the self-management of this life-threatening condition. However, adherence and engagement with existing technologies are inadequate and need further research. OBJECTIVE:  The objective of our study was to develop an integrated belief model that helps identify the significant constructs in predicting intention to use a diabetes self-management device for the detection of hypoglycemia. METHODS:  Adults with type 1 diabetes living in the United States were recruited through Qualtrics to take a web-based questionnaire that assessed their preferences for a device that monitors their tremors and alerts them of the onset of hypoglycemia. As part of this questionnaire, a section focused on eliciting their response to behavioral constructs from the Health Belief Model, Technology Acceptance Model, and others. RESULTS:  A total of 212 eligible participants responded to the Qualtrics survey. Intention to use a device for the self-management of diabetes was well predicted (R(2)=0.65; F(12,199)=27.19; P<.001) by 4 main constructs. The most significant constructs were perceived usefulness (β=.33; P<.001) and perceived health threat (β=.55; P<.001) followed by cues to action (β=.17; P<.001) and a negative effect from resistance to change (β=−.19; P<.001). Older age (β=.025; P<.001) led to an increase in their perceived health threat. CONCLUSIONS: For individuals to use such a device, they need to perceive it as useful, perceive diabetes as life-threatening, regularly remember to perform actions to manage their condition, and exhibit less resistance to change. The model predicted the intention to use a diabetes self-management device as well, with several constructs found to be significant. This mental modeling approach can be complemented in future work by field-testing with physical prototype devices and assessing their interaction with the device longitudinally. JMIR Publications 2023-05-03 /pmc/articles/PMC10193211/ /pubmed/37133906 http://dx.doi.org/10.2196/41501 Text en ©Karim Zahed, Ranjana Mehta, Madhav Erraguntla, Khalid Qaraqe, Farzan Sasangohar. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 03.05.2023. 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 Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on https://diabetes.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zahed, Karim
Mehta, Ranjana
Erraguntla, Madhav
Qaraqe, Khalid
Sasangohar, Farzan
Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample
title Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample
title_full Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample
title_fullStr Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample
title_full_unstemmed Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample
title_short Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample
title_sort understanding patient beliefs in using technology to manage diabetes: path analysis model from a national web-based sample
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193211/
https://www.ncbi.nlm.nih.gov/pubmed/37133906
http://dx.doi.org/10.2196/41501
work_keys_str_mv AT zahedkarim understandingpatientbeliefsinusingtechnologytomanagediabetespathanalysismodelfromanationalwebbasedsample
AT mehtaranjana understandingpatientbeliefsinusingtechnologytomanagediabetespathanalysismodelfromanationalwebbasedsample
AT erraguntlamadhav understandingpatientbeliefsinusingtechnologytomanagediabetespathanalysismodelfromanationalwebbasedsample
AT qaraqekhalid understandingpatientbeliefsinusingtechnologytomanagediabetespathanalysismodelfromanationalwebbasedsample
AT sasangoharfarzan understandingpatientbeliefsinusingtechnologytomanagediabetespathanalysismodelfromanationalwebbasedsample