Evidence map›Paper›PMID 36809977›Full record

ArticleBMC infectious diseases2023

Technology-enabled virtual ward for COVID management of the elderly and immunocompromised in Singapore: a descriptive cohort.

Stephanie Q Ko, Shoban Krishna Kumar, Jonathan Jacob, Benjamin M Y Hooi, Michelle Soo, Norshima Nashi, Maria Teresa D Cruz, Yeo Ai Wah, Wong Zhi Xin, Nares Smitasin and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Virtual Hospital, Real Health Care.Mayo Clinic proceedings. Digital health · 2025
    Review
  2. Review
  3. Hybrid Hospital-at-Home Program in Singapore: Ethnographic Study.Journal of medical Internet research · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

12 authors at 3 institutions in 1 country.

Stephanie Q KoDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore. stephanie_ko@nuhs.edu.sg.ORCID http://orcid.org/0000-0002-1182-5791
Shoban Krishna KumarDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Jonathan JacobDepartment of Medicine, Alexandra Hospital, 378 Alexandra Road, Singapore, 159964, Singapore.
Benjamin M Y HooiDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Michelle SooDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Norshima NashiDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Maria Teresa D CruzDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Yeo Ai WahRegional Health Service, National University Health System, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Wong Zhi XinDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Nares SmitasinDivision of Infectious Diseases, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Lionel LumDivision of Infectious Diseases, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Sophia ArchuletaDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore, 119228, Singapore.
National University Hospital · SGAlexandra Hospital · SGNational University Health System · SG

Funding

Ministry of Health Office for Healthcare Transformation Evaluation GrantNUHS Health Services Research Seed Grant FMPCHSRG-Mar21/04
6 · The paper itself

Abstract

backgroundTo address the hospital bed demand for Delta and Omicron surges in Singapore, the National University Health System (NUHS) developed a COVID Virtual Ward to relieve bed pressures on its three acute hospitals-National University Hospital, Ng Teng Fong General Hospital, Alexandra Hospital. To serve a multilingual population, the COVID Virtual Ward featuring protocolized teleconsultation of high-risk patients, use of a vital signs chatbot, supplemented by home visits where necessary. This study aims to evaluate the safety, outcomes and utilisation of the Virtual Ward as a scalable response to COVID-19 surges.

methodsThis is a retrospective cohort study of all patients admitted to the COVID Virtual Ward between 23 September to 9 November 2021. Patients were defined as "early discharge" if they were referred from inpatient COVID-19 wards and "admission avoidance" if they were referred directly from primary care or emergency services. Patient demographics, utilisation measures and clinical outcomes were extracted from the electronic health record system. The primary outcomes were escalation to hospital and mortality. Use of the vital signs chatbot was evaluated by examining compliance levels, need for automated reminders and alerts triggered. Patient experience was evaluated using data extracted from a quality improvement feedback form.

results238 patients were admitted to the COVID Virtual Ward from 23 September to 9 November, of whom 42% were male, 67.6% of Chinese ethnicity. 43.7% were over the age of 70, 20.5% were immunocompromised, and 36.6% were not fully vaccinated. 17.2% of patients were escalated to hospital and 2.1% of patients died. Patients who were escalated to hospital were more likely to be immunocompromised or to have a higher ISARIC 4C-Mortality Score. There were no missed deteriorations. All patients received teleconsults (median of 5 teleconsults per patient, IQR 3-7). 21.4% of patients received home visits. 77.7% of patients engaged with the vital signs chatbot, with a compliance rate of 84%. All patients would recommend the programme to others in their situation.

conclusionsVirtual Wards are a scalable, safe and patient-centered strategy to care for high risk COVID-19 patients at home.

trial registrationNA.

Indexed as

COVID-19Emergency Service, HospitalAgedFemaleHospitals, UniversityHumansMaleRetrospective StudiesSingaporeCOVID-19Hospital-at-homeVirtual Ward

Identifiers

PMID36809977
PMCPMC9942066
OpenAlexW4321456516

What OpenQuestion holds

Textmetadata
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.