Evidence map›Paper›PMID 25824060›Full record

ArticleClinical medicine (London, England)2015

Identifying reasons for delays in acute hospitals using the Day-of-Care Survey method.

Erica Reid, Andrew King, Alex Mathieson, Thomas Woodcock, Simon W Watkin

Abstract read
In one paragraph

Article in Clinical medicine (London, England), 2015. 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. Observational
  2. Leaving the hospital on time: hospital bed utilization and reasons for discharge delay in the Netherlands.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    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.

Erica ReidNHS Lanarkshire, UK;
Andrew KingQuEST, Scottish Government, Edinburgh, UK;
Alex MathiesonEdinburgh, UK;
Thomas WoodcockCLAHRC, Imperial College, London, UK;
Simon W WatkinDepartment of Respiratory Medicine, Borders General Hospital, Melrose, UK simon.watkin@borders.scot.nhs.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes a new tool called 'Day-of-Care Survey', developed to assess inpatient delays in acute hospitals. Using literature review, iterative testing and feedback from professional groups, a national multidisciplinary team developed the survey criteria and methodology. Review teams working in pairs visited wards and used case records and bedside charts to assess the patient's status against severity of illness and service intensity criteria. Patients who did not meet the survey criteria for acute care were identified and delays were categorised. From March 2012 to December 2013, nine acute hospitals across Scotland, Australia and England were surveyed. A total of 3,846 adult general inpatient beds (excluding intensive care and maternity) were reviewed. There were 145 empty beds at the time of surveys across the nine sites, with 270 definite discharges planned on the day of the survey. The total number of patients not meeting criteria for acute care was 798/3,431 (23%, range 18-28%). Six factors accounted for 61% (490/798) of the reasons why patients not meeting acute care criteria remained in hospital. This survey gives important insights into the challenges of managing inpatient flow using system level information as a method to target interventions designed to address delay.

Indexed as

AdolescentAdultAgedAged, 80 and overAustraliaChildContinuity of Patient CareHospital Bed CapacityHumansLength of StayMiddle AgedUnited KingdomYoung Adultaccess blockappropriateness of hospital staybed utilisationInpatient flow

Identifiers

PMID25824060
PMCPMC4953727

What OpenQuestion holds

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Registered trials

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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.