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Randomized Controlled Trial
. 2025 Apr 10:27:e68936.
doi: 10.2196/68936.

Digital Health Intervention on Awareness of Vaccination Against Influenza Among Adults With Diabetes: Pragmatic Randomized Follow-Up Study

Affiliations
Randomized Controlled Trial

Digital Health Intervention on Awareness of Vaccination Against Influenza Among Adults With Diabetes: Pragmatic Randomized Follow-Up Study

Yifat Fundoiano-Hershcovitz et al. J Med Internet Res. .

Abstract

Background: Diabetes mellitus significantly increases the risk of severe complications from influenza, necessitating targeted vaccination efforts. Despite vaccination being the most effective preventive measure, coverage remains below the World Health Organization's targets, partly due to limited awareness among patients. This study evaluated a digital health intervention aimed at improving influenza vaccination rates among adults with diabetes.

Objective: This study aimed to demonstrate the effectiveness of digital health platforms in increasing vaccination rates among people with diabetes and to emphasize the impact of tailored messaging frequency on patient engagement and health behavior change. We hypothesized that digital tools providing empirical evidence of increased health risk awareness can effectively drive preventive actions.

Methods: The study leveraged the Dario (Dario Health Corp) digital health platform to retrospectively analyze data from 64,904 users with diabetes assigned by the platform into three groups: (1) Group A received previously studied monthly flu nudge messages; (2) Group B received an adapted intervention with 2-3 monthly messages; (3) Group C served as the control with no intervention. Surveys were conducted at baseline, 3 months, and 6 months to assess vaccination status, awareness of influenza risks, and recollection of educational content. Statistical analyses, including logistic regression, chi-square tests, and t tests, were used to evaluate differences between groups.

Results: Out of 64,904 users, 8431 completed the surveys. Vaccination rates were 71.0% in group A, 71.9% in group B, and 70.5% in group C. Group B showed significantly higher awareness of influenza risks compared with the control group odds ratio (OR; OR 1.35, 95% CI 1.12-1.63; P=.001), while group A did not (OR 1.10, 95% CI 0.92-1.32; P=.27). Recollection of educational content was also higher in groups A (OR 1.29, 95% CI 1.07-1.56; P=.008) and B (OR 1.92, 95% CI 1.59-2.33; P<.001) compared with the control. In addition, a significant correlation between awareness and vaccination rates was found only in group B (χ2(df=1)=6.12, P=.01).

Conclusions: The adapted digital intervention (group B) effectively increased awareness of influenza risks and recollection of educational content, which correlated with the higher trend in vaccination rates. This study demonstrates the potential of digital health tools to enhance influenza vaccination among people with diabetes by improving risk awareness and education. Further research should focus on optimizing these interventions to achieve significant improvements in vaccination uptake and overall public health outcomes.

Trial registration: ClinicalTrials.gov NCT06840236; https://clinicaltrials.gov/study/NCT06840236.

Keywords: diabetes management; digital health; flu vaccination awareness; influenza vaccination; mobile health.

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Conflict of interest statement

Conflicts of Interest: YFH, IBA and OM are employees of Dario Health. DLH serves as Dario Health scientific advisory board member. FL and JL are employees of Sanofi and may hold stocks/shares in Sanofi. DK has received consultancy fees from Sanofi, Abbott Rapid Diagnostics, Better Therapeutics and Proteomics. CS has not received consultancy fees.

Figures

Figure 1
Figure 1
Dario mobile app platform. (A) Measurement screen allows the displaying of the blood glucose measurement. (B) Main screen presenting a summary of measurements and activities.
Figure 2
Figure 2
An example of an educational content delivered in a digital message to members-the topic was “facts about flu.”.
Figure 3
Figure 3
Study population. Flow chart showing the definition of the study population including inclusion criteria and surveys completion cohorts.

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