Evidence map›Paper›PMID 41186935›Full record

SynthesisJournal of hospital medicine2026

Impact of remote biometric sensing on readmission risk and mortality after hospital discharge: Insights from a systematic review and meta-analysis.

Parisa Farahani, Mohammad Taherahmadi, Truls Østbye, Oluwatosin Akingbule, Salim Hasanin, Mohsen Merati, Steph Hendren, Atoosa Heidari Bigvand, Lanna Lewis, Nkiruka Azuogalanya and 6 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of hospital medicine, 2026. 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. Review
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

16 authors.

Parisa FarahaniDepartment of Medicine, Carilion Clinic, Roanoke, Virginia, USA.ORCID https://orcid.org/0000-0001-8060-2981
Mohammad TaherahmadiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-9651-1141
Truls ØstbyeDepartment of Family Medicine and Community Health, Duke University School of Medicine, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0002-0662-7440
Oluwatosin AkingbuleDepartment of Implementation Science, Wake Forest University School of Medicine, Winston Salem, North Carolina, USA.ORCID https://orcid.org/0000-0002-9901-5530
Salim HasaninTrinity College of Arts and Sciences, Duke University, Durham, North Carolina, USA.
Mohsen MeratiDepartment of Medicine, Division of Gastroenterology, University of California San Francisco (UCSF), San Francisco, California, USA.
Steph HendrenDuke University Medical Center Library, Duke University School of Medicine, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0001-6258-4046
Atoosa Heidari BigvandDivision of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Lanna LewisUndergraduate Studies, University of Michigan, Ann Arbor, Michigan, USA.
Nkiruka AzuogalanyaDepartment of Medicine, Carilion Clinic, Roanoke, Virginia, USA.
Ahmed Al QaffasHealth Analytics Research Team, Carilion Clinic, Roanoke, Virginia, USA.
Valerie J RenardDepartment of Medicine, Carilion Clinic, Roanoke, Virginia, USA.
Maxine LeeDepartment of Surgery, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA.ORCID https://orcid.org/0009-0005-3860-5122
Anthony SlonimDepartment of Medicine, Carilion Clinic, Roanoke, Virginia, USA.
Patrick R LawlerDivision of Cardiology, McGill University Health Centre, Montreal, Quebec, Canada.
Lana WahidDepartment of Medicine, Carilion Clinic, Roanoke, Virginia, USA.

Funding

Carilion ClinicDoris Duke
6 · The paper itself

Abstract

introductionUnplanned hospital readmissions are associated with higher morbidity, mortality, and financial burden. This study evaluated the association between the use of remote biometric sensing devices (RBS) and all-cause readmission and mortality rates among adult patients discharged from the hospital.

methodsWe systematically searched MEDLINE, Embase, Scopus, and Global Health from inception to August 2023. Eligible studies assessed adult patients using RBS devices, defined as tools capable of automatically or manually measuring at least one biometric marker beyond physical activity, after hospital discharge. Studies required a comparison group and reported all-cause readmission rates. Risk ratios (RRs) with 95% confidence intervals (CIs) were summarized using random-effects models to account for variability. Subgroup analysis was conducted based on study design, follow-up period postdischarge, and index discharge diagnosis.

resultsOut of 9363 identified studies, 39 studies (23 randomized control trials, 14 cohort studies, and two nonrandomized trials) comprising 160,857 patients met the inclusion criteria. RBS use was associated with lower risk of all-cause readmission (RR = 0.75; 95% CI: 0.67-0.84, I

conclusionAmong patients recently discharged from the hospital, RBS use is associated with improved short-term outcomes. Future studies are needed to validate these findings.

Indexed as

BiometryMortalityPatient DischargePatient ReadmissionRemote Sensing TechnologyHumans

Identifiers

PMID41186935
PMCPMC12954359

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.