dc.contributor.author | External author(s) only | |
dc.date.accessioned | 2020-07-29T07:48:34Z | |
dc.date.available | 2020-07-29T07:48:34Z | |
dc.date.issued | 2020-07 | |
dc.identifier.citation | Laura Kelly, Crispin Jenkinson,David Morley. Web-Based and mHealth Technologies to Support Self-Management in People Living With Type 2 Diabetes: Validation of the Diabetes Self-Management and Technology Questionnaire (DSMT-Q). JMIR Diabetes 2020;5(3):e18208 | en |
dc.identifier.issn | 23714379 | |
dc.identifier.uri | https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/574 | |
dc.description | 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 http://diabetes.jmir.org/, as well as this copyright and license information must be included | en |
dc.description.abstract | Background: A growing number of web-based and mobile health (mHealth) technologies have been developed to support type 2 diabetes self-management. Little is known about individuals’ experiences with these technologies and how they support self-management. Appropriate tools are needed to understand how web-based and mHealth interventions may impact self-management.
Objective: This study aimed to develop an instrument, the Diabetes Self-Management and Technology Questionnaire (DSMT-Q), to assess self-management among people living with type 2 diabetes who use web-based and mHealth technologies.
Methods: A total of 36 candidate questionnaire items, drafted previously, were refined using cognitive debriefing interviews (n=8), expert consultation, and public patient involvement feedback. Item reduction steps were performed on survey data (n=250), and tests of validity and reliability were subsequently performed.
Results: Following amendments, patients and experts found 21 items relevant and acceptable for inclusion in the instrument. Survey participants included 104 (41.6%) women and 146 (58.4%) men. Two subscales with high construct validity, internal consistency, and test-retest reliability were identified: “Understanding individual health and making informed decisions” and “Confidence to reach and sustain goals.”
Conclusions: Analyses confirmed good psychometric properties in the DSMT-Q scales. This tool will facilitate the measurement of self-management in people living with type 2 diabetes who use web-based or mHealth technologies. | en |
dc.description.sponsorship | Supported by the NIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) | en |
dc.description.uri | https://DOI: 10.2196/18208 | en |
dc.language.iso | en | en |
dc.subject | Diabetes | en |
dc.subject | Digital Medicine | en |
dc.subject | Self-monitoring | en |
dc.title | Web-Based and mHealth Technologies to Support Self-Management in People Living With Type 2 Diabetes: Validation of the Diabetes Self-Management and Technology Questionnaire (DSMT-Q) | en |
dc.type | Article | en |