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Accepted for/Published in: JMIR Diabetes

Date Submitted: Feb 11, 2020
Date Accepted: May 22, 2020

The final, peer-reviewed published version of this preprint can be found here:

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)

Kelly L, Jenkinson C, Morley D

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

DOI: 10.2196/18208

PMID: 32673214

PMCID: 7380900

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The use of web-based and mobile technologies to support self-management in people living with type 2 diabetes: validation of the Diabetes Self-Management and Technology Questionnaire (DSMT-Q)

  • Laura Kelly; 
  • Crispin Jenkinson; 
  • David Morley

ABSTRACT

Background:

The prevalence of type 2 diabetes is rising simultaneously with the use of Web and mobile technologies. Establishing the effectiveness of Web and mobile technologies is necessary to optimise self-management interventions for the end user. To do this, appropriate tools are needed.

Objective:

This study sought to develop an instrument, the Diabetes Self-Management and Technology Questionnaire (DSMT-Q), to assess self-management among people living with type 2 diabetes using Web-based and/or mobile technologies.

Methods:

Thirty six candidate questionnaire items, drafted previously, were refined through the use of cognitive debrief interviews (n=8), expert consultation and public patient involvement (PPI) 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%). Two sub-scales with high construct validity, internal consistency and test-retest reliability were identified. The scales were entitled: ‘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 using Web or mobile technologies.


 Citation

Please cite as:

Kelly L, Jenkinson C, Morley D

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

DOI: 10.2196/18208

PMID: 32673214

PMCID: 7380900

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.

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