Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study
BackgroundDiabetes is a worldwide chronic condition causing morbidity and mortality, with a growing economic burden on health care systems. Complications from poorly controlled diabetes are associated with increased socioeconomic costs and reduced quality of life. Smartphones...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2023-12-01
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| Series: | JMIR Diabetes |
| Online Access: | https://diabetes.jmir.org/2023/1/e47224 |
| _version_ | 1797373750500392960 |
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| author | Farah Abdelhameed Eilish Pearson Nick Parsons Thomas M Barber Arjun Panesar Charlotte Summers Michaela de la Fosse Petra Hanson |
| author_facet | Farah Abdelhameed Eilish Pearson Nick Parsons Thomas M Barber Arjun Panesar Charlotte Summers Michaela de la Fosse Petra Hanson |
| author_sort | Farah Abdelhameed |
| collection | DOAJ |
| description |
BackgroundDiabetes is a worldwide chronic condition causing morbidity and mortality, with a growing economic burden on health care systems. Complications from poorly controlled diabetes are associated with increased socioeconomic costs and reduced quality of life. Smartphones have become an influential platform, providing feasible tools such as health apps to deliver tailored support to enhance the ability of patients with diabetes for self-management. Gro Health is a National Health Service division X–certified digital health tool used to deliver educational and monitoring support to facilitate the development of skills and practices for maintaining good health.
ObjectiveThis study aims to assess self-reported outcomes of the Gro Health app among users with diabetes and prediabetes and identify the factors that determine engagement with the digital health tool.
MethodsThis was a service evaluation of self-reported data collected prospectively by the developers of the Gro Health app. The EQ-5D questionnaire is a standardized tool used to measure health status for clinical and economic appraisal. Gro Health users completed the EQ-5D at baseline and 6 months after using the app. Users provided informed consent for the use of their anonymized data for research purposes. EQ-5D index scores and visual analogue scale (VAS) scores were calculated at baseline and 6 months for individuals with prediabetes and type 2 diabetes. Descriptive statistics and multiple-regression models were used to assess changes in the outcome measures and determine factors that affected engagement with the digital tool.
ResultsA total of 84% (1767/2114) of Gro Health participants completed EQ-5D at baseline and 6 months. EQ-5D index scores are average values that reflect people’s preferences about their health state (1=full health and 0=moribund). There was a significant and clinically meaningful increase in mean EQ-5D index scores among app users between baseline (0.746, SD 0.23) and follow-up (0.792, SD 0.22; P<.001). The greatest change was observed in the mean VAS score, with a percentage change of 18.3% improvement (61.7, SD 18.1 at baseline; 73.0, SD 18.8 at follow-up; P<.001). Baseline EQ-5D index scores, age, and completion of educational modules were associated with significant changes in the follow-up EQ-5D index scores, with baseline EQ-5D index scores, race and ethnicity, and completion of educational modules being significantly associated with app engagement (P<.001).
ConclusionsThis study provides evidence of a significant positive effect on self-reported quality of life among people living with type 2 diabetes engaging with a digital health intervention. The improvements, as demonstrated by the EQ-5D questionnaire, are facilitated through access to education and monitoring support tools within the app. This provides an opportunity for health care professionals to incorporate National Health Service–certified digital tools, such as Gro Health, as part of the holistic management of people living with diabetes. |
| first_indexed | 2024-03-08T18:54:57Z |
| format | Article |
| id | doaj.art-768e9994ee94433c9a8365e35e03409b |
| institution | Directory Open Access Journal |
| issn | 2371-4379 |
| language | English |
| last_indexed | 2024-03-08T18:54:57Z |
| publishDate | 2023-12-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Diabetes |
| spelling | doaj.art-768e9994ee94433c9a8365e35e03409b2023-12-28T14:15:37ZengJMIR PublicationsJMIR Diabetes2371-43792023-12-018e4722410.2196/47224Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation StudyFarah Abdelhameedhttps://orcid.org/0000-0001-5572-1233Eilish Pearsonhttps://orcid.org/0000-0002-4539-1063Nick Parsonshttps://orcid.org/0000-0001-9975-888XThomas M Barberhttps://orcid.org/0000-0003-0689-9195Arjun Panesarhttps://orcid.org/0000-0001-7050-9038Charlotte Summershttps://orcid.org/0000-0002-0528-698XMichaela de la Fossehttps://orcid.org/0000-0002-3387-2003Petra Hansonhttps://orcid.org/0000-0002-6845-1049 BackgroundDiabetes is a worldwide chronic condition causing morbidity and mortality, with a growing economic burden on health care systems. Complications from poorly controlled diabetes are associated with increased socioeconomic costs and reduced quality of life. Smartphones have become an influential platform, providing feasible tools such as health apps to deliver tailored support to enhance the ability of patients with diabetes for self-management. Gro Health is a National Health Service division X–certified digital health tool used to deliver educational and monitoring support to facilitate the development of skills and practices for maintaining good health. ObjectiveThis study aims to assess self-reported outcomes of the Gro Health app among users with diabetes and prediabetes and identify the factors that determine engagement with the digital health tool. MethodsThis was a service evaluation of self-reported data collected prospectively by the developers of the Gro Health app. The EQ-5D questionnaire is a standardized tool used to measure health status for clinical and economic appraisal. Gro Health users completed the EQ-5D at baseline and 6 months after using the app. Users provided informed consent for the use of their anonymized data for research purposes. EQ-5D index scores and visual analogue scale (VAS) scores were calculated at baseline and 6 months for individuals with prediabetes and type 2 diabetes. Descriptive statistics and multiple-regression models were used to assess changes in the outcome measures and determine factors that affected engagement with the digital tool. ResultsA total of 84% (1767/2114) of Gro Health participants completed EQ-5D at baseline and 6 months. EQ-5D index scores are average values that reflect people’s preferences about their health state (1=full health and 0=moribund). There was a significant and clinically meaningful increase in mean EQ-5D index scores among app users between baseline (0.746, SD 0.23) and follow-up (0.792, SD 0.22; P<.001). The greatest change was observed in the mean VAS score, with a percentage change of 18.3% improvement (61.7, SD 18.1 at baseline; 73.0, SD 18.8 at follow-up; P<.001). Baseline EQ-5D index scores, age, and completion of educational modules were associated with significant changes in the follow-up EQ-5D index scores, with baseline EQ-5D index scores, race and ethnicity, and completion of educational modules being significantly associated with app engagement (P<.001). ConclusionsThis study provides evidence of a significant positive effect on self-reported quality of life among people living with type 2 diabetes engaging with a digital health intervention. The improvements, as demonstrated by the EQ-5D questionnaire, are facilitated through access to education and monitoring support tools within the app. This provides an opportunity for health care professionals to incorporate National Health Service–certified digital tools, such as Gro Health, as part of the holistic management of people living with diabetes.https://diabetes.jmir.org/2023/1/e47224 |
| spellingShingle | Farah Abdelhameed Eilish Pearson Nick Parsons Thomas M Barber Arjun Panesar Charlotte Summers Michaela de la Fosse Petra Hanson Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study JMIR Diabetes |
| title | Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study |
| title_full | Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study |
| title_fullStr | Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study |
| title_full_unstemmed | Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study |
| title_short | Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study |
| title_sort | health outcomes following engagement with a digital health tool among people with prediabetes and type 2 diabetes prospective evaluation study |
| url | https://diabetes.jmir.org/2023/1/e47224 |
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