Evidence map›Paper›PMID 39779761›Full record

ArticleNPJ digital medicine2025

Device based monitoring in digital care and its impact on hospital service use.

Anne-Jet S Jansen, Guido M Peters, Laura Kooij, Carine J M Doggen, Wim H van Harten

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Review
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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.

Anne-Jet S JansenInnovation & Care transformation, Rijnstate Hospital, Arnhem, The Netherlands.
Guido M PetersHealth Technology and Services Research, TechMed Centre, University of Twente, Enschede, The Netherlands.
Laura KooijInnovation & Care transformation, Rijnstate Hospital, Arnhem, The Netherlands.
Carine J M DoggenHealth Technology and Services Research, TechMed Centre, University of Twente, Enschede, The Netherlands.ORCID http://orcid.org/0000-0003-4766-4333
Wim H van HartenHealth Technology and Services Research, TechMed Centre, University of Twente, Enschede, The Netherlands. w.h.vanharten@utwente.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review examines four themes of device-based remote monitoring (DRM): technology, patient monitoring and support, integration of DRM into clinical care, and patient engagement, and their impact on hospital service use. We included randomized controlled trials (RCTs) until 2024 comparing hospital service use in DRM with usual care. Hospital service use decreased in DRM in 72% of the 116 included RCTs. Non-implantable devices were most commonly used to measure data, but showed a lower decrease in hospital service use than implanted or mobile devices (69% vs 89% and 76%). Providing 24/7 support for patients led to a decrease (81% of the studies). DRM replacing usual care, involving designated healthcare providers, and patient-performed data transmission led to a greater decrease in hospital service use. DRM has the potential to further reduce hospital service use with additional factors such as sufficient support, automated processes, and optimized care redesign.

Identifiers

PMID39779761
PMCPMC11711286

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.