Evidence map›Paper›PMID 41248488›Full record

ArticleJournal of medical Internet research2025

Effects of a Digital Health Intervention for Adults With Type 2 Diabetes Mellitus on Health Care Resource Use and Health Care Charges in the United States: Retrospective Cohort Study.

Laura Wilson, Daniel Malone, Praveen Potukuchi, Edward Jonathan Han-Burgess, Keni C S Lee, Alison Edwards, Xinyan Yu, Nita Thingalaya, Felix Lee, Diana Brixner

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Laura WilsonSanofi, Morristown, NJ, United States.ORCID https://orcid.org/0009-0009-1050-8485
Daniel MaloneDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-5006-9394
Praveen PotukuchiSanofi, Morristown, NJ, United States.ORCID https://orcid.org/0000-0003-0649-6089
Edward Jonathan Han-BurgessSanofi, Cambridge, MA, United States.ORCID https://orcid.org/0000-0003-1369-9167
Keni C S LeeSanofi, Reading, United Kingdom.ORCID https://orcid.org/0009-0006-3991-2113
Alison EdwardsSymphony Health ICON plc, Blue Bell, PA, United States.ORCID https://orcid.org/0009-0004-9285-4069
Xinyan YuSymphony Health ICON plc, Blue Bell, PA, United States.ORCID https://orcid.org/0009-0002-3170-1996
Nita ThingalayaSanofi, Morristown, NJ, United States.ORCID https://orcid.org/0000-0002-9515-9457
Felix LeeSanofi, Morristown, NJ, United States.ORCID https://orcid.org/0009-0006-5588-9283
Diana BrixnerDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-6637-6359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a chronic disease that requires management of blood glucose. According to previous studies, the Dario Digital Diabetes Solution (DDS) is a nonprescription digital health intervention with a smartphone app that has been shown to improve blood glucose control in adults with T2DM.

objectiveThis study aims to investigate the effects of DDS on health care resource use (HCRU) rates, charges, and estimated costs for adults with T2DM.

methodsIn this retrospective cohort study, patient-level claims data of adults with T2DM were obtained from the Symphony Health Integrated Dataverse, a database containing both inpatient and outpatient claims, including diagnoses and procedures. Using exact and propensity score matching, DDS users and nonusers were matched in a 1:3 ratio. For the primary outcome measure (all-cause HCRU rates, defined as inpatient hospitalization and emergency room visits) and secondary outcome measures (all-cause outpatient visit rates, all-cause HCRU charges, and diabetes mellitus-related HCRU rates and charges), baseline, follow-up, and changes in values were summarized using descriptive statistics, and a multivariable generalized linear model or a 2-part model (including a generalized linear model) was applied. Additional exploratory outcome measures were analyzed. In a sensitivity analysis, a cost-to-charge ratio was calculated and applied to medical claims to estimate medical costs.

resultsFollowing matching, cohorts consisted of 2445 DDS users and 7334 nonusers with similar demographic and baseline characteristics. The all-cause HCRU event rate was 9.3% lower in DDS users compared with nonusers at the 12-month follow-up from the index date. The mean number of events was estimated to be significantly lower in DDS users (0.48 per patient per year [PPPY]; 95% CI 0.44-0.52) than nonusers (0.52 PPPY; 95% CI 0.50-0.55), resulting in an incidence rate ratio of 0.91 (P=.04). Inpatient hospitalization was 23.5% lower in the DDS user cohort compared with the nonuser cohort, with emergency room visit and outpatient visit rates being similar across both cohorts. DDS users were numerically less likely to incur all-cause HCRU charges than nonusers (odds ratio 0.91, 95% CI 0.82-1.01; P=.07). All-cause HCRU charges were 26% lower for DDS users than for nonusers (US $ 12,552 PPPY savings; P<.001). When applying the cost-charge-ratio to the charges, the total estimated cost saving for DDS users was US $5077, of which US $4513 PPPY was attributed to all-cause HCRU and US $564 to all-cause office visits.

conclusionsIn this retrospective cohort study of adults in the United States with T2DM, DDS users were found to have lower all-cause HCRU rates than nonusers, driven by significantly lower inpatient hospitalization rates (P<.001). All-cause HCRU charges and estimated costs were shown to be lower for DDS users compared with nonusers.

Indexed as

Diabetes Mellitus, Type 2Health ResourcesMobile ApplicationsAdultAgedDigital HealthFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesUnited Statesdiabetic comprehensive caredigital healtheconomic burdenglycemic controlhealth care chargeshealth care resource usehealth economic analysisself-managementtype 2 diabetes mellitus

Identifiers

PMID41248488
PMCPMC12670060

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.