# Interactive Virtual Assistant for Health Promotion Among Older Adults With Type 2 Diabetes: The IVAM-ED Randomized Clinical Trial

**Authors:** Lucas S. Matzenbacher, Frederico Ludwig da Costa, Laura Gomes Boabaid de Barros, Vicenzo Gheno, Isabela Semmelmann Maia, Luiza Machado Blank, Maria Antônia Bertuzzo Brum, Lucas Friedrich Fontoura, Thiago Wendt Viola, Carla Helena Augustin Schwanke, Giovani Gadonski, Janine Alessi, Gabriela Heiden Telo

PMC · DOI: 10.1001/jamanetworkopen.2025.53508 · JAMA Network Open · 2026-01-23

## TL;DR

An interactive virtual assistant improved mental health and diabetes management in older adults with type 2 diabetes over 12 weeks.

## Contribution

Demonstrates that a smart speaker-based behavioral intervention can effectively support mental and physical health in older diabetes patients.

## Key findings

- Participants using the virtual assistant had significantly reduced mental distress compared to usual care.
- The intervention improved quality of life and adherence to diabetes self-care behaviors.
- Glycemic control improved in the intervention group, with no adverse events reported.

## Abstract

Can an interactive virtual assistant device with a behavioral intervention model improve mental health and diabetes management among older individuals with diabetes?

In this randomized clinical trial involving 112 older adults with type 2 diabetes, participants who used the interactive virtual assistant device experienced significant improvements in mental distress compared with those who received usual care.

These findings suggest that an interactive virtual assistant device may enhance mental health outcomes for older individuals with diabetes, serving as a valuable add-on to support and complement existing treatment regimens.

This randomized clinical trial evaluates whether an interactive virtual assistant device with a behavioral intervention model can improve mental health and diabetes management among older adults with diabetes.

Older patients with diabetes often experience high levels of mental distress, which may complicate diabetes management and negatively impact health outcomes.

To evaluate whether an interactive virtual assistant device built with a behavioral intervention model can improve mental health and diabetes-related outcomes in older adults with diabetes.

This open randomized clinical trial was conducted at an academic medical center in Brazil between June 22, 2023, and February 8, 2024. Participants aged 65 years or older with type 2 diabetes were included.

Participants were randomized 1:1 to receive the interactive virtual assistant device (Smart Speaker Echo Dot, 3rd generation [Amazon]) for home use over a 12-week period or to continue with usual care. The device was programmed with a behavioral intervention model aimed at enhancing mental health and diabetes management.

The primary outcome was the between-group mean difference (MD) in mental distress, assessed using the Self-Reporting Questionnaire, in which scores range from 0 to 20, with higher scores indicating greater mental distress. Secondary outcomes included quality of life (assessed using the 36-Item Short Form Health Survey), perceived stress (assessed using the Perceived Stress Scale), adherence to diabetes self-care behaviors (assessed using the Self-Care Inventory Revised questionnaire), and glycemic control (hemoglobin A1c). All outcomes were assessed at the 12-week follow-up.

Among 112 participants (mean [SD] age, 72.5 [5.7] years; 71 females [63.4%]), the mean (SD) hemoglobin A1c level was 7.9% (1.5%), and outcome measures were available for 103 participants (52 in the intervention group and 51 in the usual care group). At 12 weeks, the fully adjusted mean (SE) Self-Reporting Questionnaire score was 6.29 (0.44) for participants in the intervention group and 7.75 (0.42) for those in the usual care group, resulting in a fully adjusted MD of −1.46 (95% CI, −2.73 to −0.19; P = .02), suggesting a reduction in mental distress among the intervention group. Subgroup analyses showed consistent improvement favoring the intervention across all subgroups. The intervention was also associated with improvements in quality of life (MD, 9.46 [95% CI, 3.65 to 15.26]; P = .001), adherence to diabetes self-care behaviors (MD, 3.40 [95% CI, 1.61 to 5.19]; P < .001), and glycemic control (MD, −0.48% [95% CI, −0.85 to −0.11]; P = .01). No difference was observed regarding perceived stress (MD, −3.00 [95% CI, −6.20 to 0.20]; P = .07), and no participants withdrew due to adverse events.

In this randomized clinical trial of older adults with diabetes, participants in the smart speaker group showed significant improvements in mental distress, quality of life, diabetes self-care, and glycemic control. These findings suggest that this easily implemented self-management intervention could enhance health outcomes in this population.

ClinicalTrials.gov Identifier: NCT05329376

## Linked entities

- **Diseases:** type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, SLC5A2 (solute carrier family 5 member 2) [NCBI Gene 6524] {aka SGLT2}, GCG (glucagon) [NCBI Gene 2641] {aka GLP-1, GLP1, GLP2, GRPP}, DPP4 (dipeptidyl peptidase 4) [NCBI Gene 1803] {aka ADABP, ADCP2, CD26, DPPIV, TP103}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** Type 2 Diabetes (MESH:D003924), sepsis (MESH:D018805), hypoglycemia (MESH:D007003), frailty (MESH:D000073496), stroke (MESH:D020521), mental health disorder (OMIM:603663), Mental Distress (MESH:D012128), anxiety (MESH:D001007), mental (MESH:D008607), mood disorders (MESH:D019964), diabetes:1 (MESH:D003922), Diabetes (MESH:D003920), depression (MESH:D003866), heart failure (MESH:D006333), cognitive (MESH:D003072), death (MESH:D003643)
- **Chemicals:** SRQ (-), Lipid (MESH:D008055), glucose (MESH:D005947), cholesterol (MESH:D002784), triglyceride (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12831153/full.md

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Source: https://tomesphere.com/paper/PMC12831153