Evidence map›Paper›PMID 28721026›Full record

Observational studyClinical interventions in aging2017

A community virtual ward model to support older persons with complex health care and social care needs.

C Lewis, Z Moore, F Doyle, A Martin, D Patton, L E Nugent

Abstract readObservational Study
In one paragraph

Observational study in Clinical interventions in aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

C LewisSchool of Nursing and Midwifery, Royal College of Surgeons Ireland.
Z MooreSchool of Nursing and Midwifery, Royal College of Surgeons Ireland.
F DoyleDepartment of Psychology, Royal College of Surgeons in Ireland.
A MartinBeaumont Hospital, Dublin, Ireland.
D PattonSchool of Nursing and Midwifery, Royal College of Surgeons Ireland.
L E NugentSchool of Nursing and Midwifery, Royal College of Surgeons Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally the older population is increasing rapidly. As a result there is an increase in frail older persons living within the community, with increased risks of a hospital admission and higher mortality and morbidity rates. Due to complexity of care, health care professionals face challenges in providing effective case management and avoiding unplanned admissions to hospital. A community virtual ward (CVW) model was developed to assist health care professionals to support older persons at home during periods of illness and/or functional decline.

methodsA quantitative observational study was conducted to examine if a CVW model of care reduced unplanned hospital admissions and emergency department (ED) presentations in 54 patients over a 12-month period. The sign-rank test examined matched data on bed days, ED presentations, and unplanned hospital admissions pre- and post-CVW implementation. Other risk factors for admission to hospital were examined using the Mann-Whitney test pre-and post-CVW admission, including falls, living alone, and cognition. Correlations between hospital admission avoidances and unplanned hospital admissions and ED presentations were tested using Spearman's

resultsThere was a reduction in ED presentations post-CVW admission (

conclusionThrough an integrated approach to care, a CVW model in the care of older persons can reduce ED presentations and unplanned hospital admissions.

Indexed as

Independent LivingAccidental FallsAgedAged, 80 and overCase ManagementCognitionEmergency Service, HospitalFemaleFrail ElderlyHumansMaleOdds RatioRisk FactorsTelemedicinecase managementcommunity virtual wardcomplex careintegrated careolder persons’ care

Identifiers

PMID28721026
PMCPMC5498784

What OpenQuestion holds

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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.