The content of the DSMT-Q was informed by an initial study that undertook in-depth qualitative interviews (n=15) with people living with type 2 diabetes in order to explore experiences of using web-based and mHealth technologies to manage their health. On completion of the interviews, 36 items were developed and refined following  cognitive debrief interviews with people living with type 2 diabetes, expert consultation, and public patient involvement (PPI) feedback. Item reduction steps were performed on survey data (n=250), and psychometric validation of the remaining candidate items using appropriate quantitative methods were carried out. The two subscales identified via the study show high construct validity, internal consistency and test-retest reliability. The validation phase was conducted entirely via electronic COA means (eCOA).

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A scoring guide is available for researchers. This includes sub scale calculations. Individual item responses are coded from 0-4 with a score ranging from 0 to 100 where a lower score indicates lower self-management.

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Available to use in two versions (web-based and mHealth technologies users and web-based and mHealth technologies non-users), for electronic completion.

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Due to its focus on the use of technology to aid self-management, the DSMT-Q can be usefully integrated with other measures of self-management or quality of life for people with type 2 diabetes. In our portfolio, for instance, the HASMID, a mixed health related quality of life and self-management instrument, and the DHP, which measures the impact of diabetes 1 and 2 on the behaviour and psychology of patients.

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