Evidence map›Paper›PMID 40279126›Full record

SynthesisJAMA network open2025

Cumulative Burden of Digital Health Technologies for Patients With Multimorbidity: A Systematic Review.

Ngan Thi Thuy Phi, Victor M Montori, Marleen Kunneman, Philippe Ravaud, Viet-Thi Tran

Abstract readSystematic Review
In one paragraph

Synthesis in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 pooled it
–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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  5. Digital health technology burden and frustration among patients with multimorbidity.Journal of the American Medical Informatics Association : JAMIA · 2026
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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

5 authors.

Ngan Thi Thuy PhiUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France.
Victor M MontoriKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Marleen KunnemanKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Philippe RavaudUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France.
Viet-Thi TranUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Digital health technologies (DHTs) aiming to monitor, treat, and manage diseases can be prescribed for patients with multimorbidity; yet most DHTs are designed for individual conditions or problems, while approximately half of patients with chronic conditions have multiple chronic conditions. Objectives: To identify DHTs approved by the US Food and Drug Administration (FDA) or listed in the Organisation for the Review of Care and Health Apps (ORCHA) library and prescribable for a hypothetical patient with 5 conditions and to model the number of DHTs this patient should be prescribed to receive benefits health professionals considered important. Evidence Review: The FDA databases (Premarket Notification 510(k), Premarket Approval, and De Novo) and the ORCHA App Library from National Health Service Somerset were systematically searched for DHTs registered or updated between January 1, 2019, and December 31, 2022, that could be prescribed to a hypothetical woman with 5 chronic conditions (type 2 diabetes, hypertension, chronic obstructive pulmonary disease, osteoporosis, and osteoarthritis). After abstracting each DHT's elementary functions (ie, simple and delineated features to monitor, treat, and/or manage conditions), an assessment was undertaken to determine the fewest DHTs this hypothetical patient should be prescribed to receive benefit from digital functions health professionals considered important. Findings: A total of 148 DHTs were identified (68 [46%] from FDA databases), of which 96 (65%) involved devices and 52 (35%) were standalone health apps. Only 5 DHTs (3.4%) were intended for 2 or more conditions. DHTs offered 140 elementary functions, ranging from recording, tracking, or visualizing health parameters to providing information to digital therapeutics with just-in-time interventions. The hypothetical patient would need to be prescribed up to 13 apps and 7 devices (a blood pressure monitor, a smartwatch, a pulse oximeter, a connected weight scale, a sensor-attached inhaler to monitor adherence, a lung function monitor, and a blood glucose sensor) to receive benefits from 28 functions at least 3 of 5 health professionals considered important. Conclusions and Relevance: This systematic review found that almost all prescribable DHTs were developed for a single condition or problem. Thus, patients with multiple chronic conditions would have to routinize many DHTs concurrently in daily life to benefit from digital functions health professionals considered important.

Indexed as

Biomedical TechnologyDigital TechnologyMultimorbidityTelemedicineChronic DiseaseDigital HealthFemaleHumansMobile ApplicationsUnited States

Identifiers

PMID40279126
PMCPMC12032558

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.