INTRODUCTION: The growing prevalence of diabetes has increased the need for scalable technologies to improve outcomes. My Diabetes My Way (MDMW) is an electronic personal health record (ePHR) available to all people with diabetes in Scotland since 2010, associated with improved clinical outcomes among users. MDMW pulls data from a national clinician-facing informatics platform and provides self-management and educational information. This study aims to describe MDMW user demographics through time with respect to the national diabetes population, with a view to addressing potential health inequalities. METHODS: Aggregate data were obtained retrospectively from the MDMW database and annual Scottish Diabetes Survey (SDS) from 2010 to 2020. Variables included diabetes type, sex, age, socioeconomic status, ethnicity, and glycemic control. Prevalence of MDMW uptake was calculated using corresponding SDS data as denominators. Comparisons between years and demographic sub-groups were made using Chi- Squared tests. RESULTS: Overall uptake of MDMW has steadily increased since implementation. By 2020, of all people with T1D or T2D in Scotland, 13% were fully enrolled to MDMW (39,881/312,326). There was proportionately greater numbers of users in younger, more affluent demographic groups (with a clear social gradient) with better glycemic control. As uptake has increased through time, so too has the observed gaps between different demographic sub-groups. CONCLUSIONS: The large number of MDMW users is encouraging, but remains a minority of people with diabetes in Scotland. There is a risk that innovations like MDMW can widen health inequalities and it is incumbent upon healthcare providers to identify strategies to prevent this.
INTRODUCTION: The growing prevalence of diabetes has increased the need for scalable technologies to improve outcomes. My Diabetes My Way (MDMW) is an electronic personal health record (ePHR) available to all people with diabetes in Scotland since 2010, associated with improved clinical outcomes among users. MDMW pulls data from a national clinician-facing informatics platform and provides self-management and educational information. This study aims to describe MDMW user demographics through time with respect to the national diabetes population, with a view to addressing potential health inequalities. METHODS: Aggregate data were obtained retrospectively from the MDMW database and annual Scottish Diabetes Survey (SDS) from 2010 to 2020. Variables included diabetes type, sex, age, socioeconomic status, ethnicity, and glycemic control. Prevalence of MDMW uptake was calculated using corresponding SDS data as denominators. Comparisons between years and demographic sub-groups were made using Chi- Squared tests. RESULTS: Overall uptake of MDMW has steadily increased since implementation. By 2020, of all people with T1D or T2D in Scotland, 13% were fully enrolled to MDMW (39,881/312,326). There was proportionately greater numbers of users in younger, more affluent demographic groups (with a clear social gradient) with better glycemic control. As uptake has increased through time, so too has the observed gaps between different demographic sub-groups. CONCLUSIONS: The large number of MDMW users is encouraging, but remains a minority of people with diabetes in Scotland. There is a risk that innovations like MDMW can widen health inequalities and it is incumbent upon healthcare providers to identify strategies to prevent this.
Entities:
Keywords:
diabetes mellitus; electronic health records; health records; healthcare disparities; personal; type 1; type 2
Authors: Urmimala Sarkar; Andrew J Karter; Jennifer Y Liu; Nancy E Adler; Robert Nguyen; Andrea López; Dean Schillinger Journal: J Am Med Inform Assoc Date: 2011-01-24 Impact factor: 4.497
Authors: James H Vallance; Peter J Wilson; Graham P Leese; Ritchie McAlpine; Caroline J MacEwen; John D Ellis Journal: Diabetes Care Date: 2008-03-17 Impact factor: 19.112
Authors: Scott Gordon Cunningham; Massimo Brillante; Brian Allardice; Nicholas Conway; Ritchie Robert McAlpine; Deborah Jane Wake Journal: Biomed Eng Online Date: 2019-02-08 Impact factor: 2.819
Authors: Colette Mair; Wahyu Wulaningsih; Anita Jeyam; Stuart McGurnaghan; Luke Blackbourn; Brian Kennon; Graham Leese; Robert Lindsay; Rory J McCrimmon; John McKnight; John R Petrie; Naveed Sattar; Sarah H Wild; Nicholas Conway; Ian Craigie; Kenneth Robertson; Louise Bath; Paul M McKeigue; Helen M Colhoun Journal: Diabetologia Date: 2019-05-18 Impact factor: 10.122
Authors: Wendy K Chung; Karel Erion; Jose C Florez; Andrew T Hattersley; Marie-France Hivert; Christine G Lee; Mark I McCarthy; John J Nolan; Jill M Norris; Ewan R Pearson; Louis Philipson; Allison T McElvaine; William T Cefalu; Stephen S Rich; Paul W Franks Journal: Diabetes Care Date: 2020-07 Impact factor: 19.112