Evidence map›Paper›PMID 39711995›Full record

ArticleInternational journal of integrated care

Navigating COVID-19 Surges: A Case Study of a Hospital-at-Home Implementation.

Jin Wee Ng, Milawaty Nurjono, Michelle Mong Nee Kee, Hong Choon Oh, Qin Yong See

Abstract readCase Reports
In one paragraph

Article in International journal of integrated care. 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. Article
  2. Article
  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

5 authors.

Jin Wee NgChangi General Hospital, Singhealth, Singapore.ORCID https://orcid.org/0009-0004-3933-5956
Milawaty NurjonoChangi General Hospital, Singhealth, Singapore.ORCID https://orcid.org/0000-0002-7289-9292
Michelle Mong Nee KeeChangi General Hospital, Singhealth, Singapore.ORCID https://orcid.org/0000-0002-2107-3511
Hong Choon OhChangi General Hospital, Singhealth, Singapore.ORCID https://orcid.org/0000-0002-3086-7516
Qin Yong SeeChangi General Hospital, Singhealth, Singapore.ORCID https://orcid.org/0009-0000-3195-194X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study documents the experience of implementing an adaptation of the Hospital-at-Home (HaH) model to alleviate the constraints in available hospital beds and manpower amid a surge in infection rates in Singapore during the Omicron and XBB COVID waves, addressing challenges and proposing insights for scalable implementation. HaH substitutes inpatient hospitalizations by leveraging existing community healthcare services and remote healthcare technologies. This HaH adaptation was designed to be activated in during surges and deactivated when bed and manpower demands stabilize, making it less intensive on hospital resources. HaH demonstrated success in facilitating safe early discharge and admission avoidance for high-risk patients, reducing hospital bed utilization without reducing care quality. However, challenges including lack of technological literacy, language barriers, and miscommunications resulting from clerical errors were experienced. Our findings suggest that hospitals with internal resource constraints can make adaptations to leverage existing providers and assets within the community where necessary. We also observed that HaH shifts many aspects of healthcare responsibility to patients and their caregivers, which may be beyond their expected capabilities. Clear communication of expectations and limitations from all parties involved is paramount to upholding the quality of care in HaH.

Indexed as

community-based careCOVID-19 pandemic responseearly discharge strategyhospital-at-homeremote clinical monitoringtelehealth solutions

Identifiers

PMID39711995
PMCPMC11661406

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.