Evidence map›Paper›PMID 39331537›Full record

ArticleJournal of medical Internet research2024

Hospital Is Not the Home: Lessons From Implementing Remote Technology to Support Acute Inpatient and Transitional Care in the Home in the United States and United Kingdom.

Matt Wilkes, Annabel Kramer, Juliana Pugmire, Christopher Pilkington, Benjamin Zaniello, Nicole Zahradka

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Alert burden when monitoring patients' vital signs continuously at home.Journal of clinical monitoring and computing · 2026
    Article
  2. Observational
  3. 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

6 authors.

Matt WilkesBest Buy Health, Boston, MA, United States.ORCID 0000-0002-9166-7913
Annabel KramerBest Buy Health, Boston, MA, United States.ORCID 0009-0005-6124-0619
Juliana PugmireBest Buy Health, Boston, MA, United States.ORCID 0000-0002-0293-3133
Christopher PilkingtonBest Buy Health, Boston, MA, United States.ORCID 0009-0002-0335-2549
Benjamin ZanielloBest Buy Health, Boston, MA, United States.ORCID 0000-0001-9942-1398
Nicole ZahradkaBest Buy Health, Boston, MA, United States.ORCID 0000-0001-6323-016X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic, patient preference, and economic opportunity are shifting acute care from the hospital to the home, supported by the transformation in remote monitoring technology. Monitoring patients with digital medical devices gives unprecedented insight into their physiology. However, this technology does not exist in a vacuum. Distinguishing pathology from physiological variability, user error, or device limitations is challenging. In a hospital, patients are monitored in a contrived environment. Monitoring at home instead captures activities of daily living alongside patients' trajectory of disease and recovery. Both settings make for "noisy" data. However, we are familiar with hospital noise, accounting for it in our practice and perceptions of normal. Home monitoring as a diagnostic intervention introduces a new set of downstream consequences, dependent on device, cadence of collection, adherence, duration, alarm thresholds, and escalation criteria. We must accept greater ambiguity and contextualize vital signs. All devices balance accuracy with acceptability, so compromises are inevitable and perfect data should not be expected. Alarms must be specific as well as sensitive, balancing clinical risk with capacity for response. By setting expectations around data from the home, we can smooth the adoption of remote monitoring and accelerate the transition of acute care.

Indexed as

COVID-19Home Care ServicesTransitional CareHumansMonitoring, PhysiologicPandemicsSARS-CoV-2TelemedicineUnited KingdomUnited Statesacceptabilityaccuracydigital healthhospital-to-home transitionimplementation scienceremote patient monitoringtelemedicinetransition of care

Identifiers

PMID39331537
PMCPMC11512117

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.