Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study

dc.contributor
Ministerio de Economía y Competitividad (Espanya)
dc.contributor.author
Vehí, Josep
dc.contributor.author
Regincós i Isern, Jordi
dc.contributor.author
Parcerisas Albés, Adrià
dc.contributor.author
Calm i Puig, Remei
dc.contributor.author
Contreras, Ivan
dc.date.accessioned
2024-06-14T10:37:24Z
dc.date.available
2024-06-14T10:37:24Z
dc.date.issued
2019-03
dc.identifier
http://hdl.handle.net/10256/18220
dc.identifier.uri
https://hdl.handle.net/10256/18220
dc.description.abstract
Technology has long been used to carry out self-management as well as to improve adherence to treatment in people with diabetes. However, most technology-based apps do not meet the basic requirements for engaging patients. Objective: This study aimed to evaluate the effect of use frequency of a diabetes management app on glycemic control. Methods: Overall, 2 analyses were performed. The first consisted of an examination of the reduction of blood glucose (BG) mean, using a randomly selected group of 211 users of the SocialDiabetes app (SDA). BG levels at baseline, month 3, and month 6 were calculated using the intercept of a regression model based on data from months 1, 4, and 7, respectively. In the second analysis, the impact of low and high BG risk was examined. A total of 2692 users logging SDA ≥5 days/month for ≥6 months were analyzed. The highest quartile regarding low blood glucose index (LBGI) and high blood glucose index (HBGI) at baseline (t1) was selected (n=74 for group A; n=440 for group B). Changes in HBGI and LBGI at month 6 (t2) were analyzed. Results: For analysis 1, baseline BG results for type 1 diabetes mellitus (T1DM) groups A and B were 213.61 (SD 31.57) mg/dL and 206.43 (SD 18.65) mg/dL, respectively, which decreased at month 6 to 175.15 (SD 37.88) mg/dL and 180.6 (SD 40.47) mg/dL, respectively. For type 2 diabetes mellitus (T2DM), baseline BG was 218.77 (SD 40.18) mg/dL and 232.55 (SD 46.78) mg/dL, respectively, which decreased at month 6 to 160.51 (SD 39.32) mg/dL and 173.14 (SD 52.81) mg/dL for groups A and B, respectively. This represents a reduction of estimated A1c (eA1c) of approximately 1.3% (P<.001) and 0.9% (P=.001) for T1DM groups A and B, respectively, and 2% (P<.001) for both A and B T2DM groups, respectively. For analysis 2, T1DM baseline LBGI values for groups A and B were 5.2 (SD 3.9) and 4.4 (SD 2.3), respectively, which decreased at t2 to 3.4 (SD 3.3) and 3.4 (SD 1.9), respectively; this was a reduction of 34.6% (P=.005) and 22.7% (P=.02), respectively. Baseline HBGI values for groups A and B were 12.6 (SD 4.3) and 10.6 (SD 4.03), respectively, which decreased at t2 to 9.0 (SD 6.5) and 8.6 (SD 4.7), respectively; this was a reduction of 30% (P=.001) and 22% (P=.003), respectively. Conclusions: A significant reduction in BG was found in all groups, independent of the use frequency of the app. Better outcomes were found for T2DM patients. A significant reduction in LBGI and HBGI was found in all groups, regardless of the use frequency of the app. LBGI and HBGI indices of both groups tend to have similar values after 6 months of app use
dc.description.abstract
This study was partially supported by the Spanish Ministry of Science and Innovation under grant DPI2016-78831-C2-2-R and by the Autonomous Government of Catalonia under grant 2017 SGR 1551
dc.format
application/pdf
dc.language
eng
dc.publisher
JMIR Publications
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.2196/11933
dc.relation
info:eu-repo/semantics/altIdentifier/eissn/2291-5222
dc.relation
DPI2016-78831-C2-2-R
dc.relation
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-78831-C2-2-R/ES/Soluciones para la Mejora de la Eficiencia y Seguridad del Páncreas Artificial mediante Arquitecturas de Control Multivariable Tolerantes a Fallos/
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
JMIR Mhealth Uhealth, 2019, vol. 7, núm. 3, p. e11933
dc.source
Articles publicats (IIIA)
dc.subject
Diabetis
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Diabetes
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Glucèmia
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Blood sugar
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Control intel·ligent
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Intelligent control systems
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Control automàtic
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Automatic control
dc.title
Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
peer-reviewed


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