Evidence map›Paper›PMID 37128418›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022

Designing health IT to support falls prevention in hospitals: Findings from a realist review.

Rebecca Randell, Lynn McVey, Hadar Zaman, Judy Wright, V-Lin Cheong, Dawn Dowding, Peter Gardner, Nick Hardiker, Frances Healey, Alison Lynch and 1 more

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Rebecca RandellUniversity of Bradford, Bradford, UK.
Lynn McVeyUniversity of Bradford, Bradford, UK.
Hadar ZamanUniversity of Bradford, Bradford, UK.
Judy WrightUniversity of Leeds, Leeds, UK.
V-Lin CheongLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Dawn DowdingThe University of Manchester, Manchester, UK.
Peter GardnerUniversity of Bradford, Bradford, UK.
Nick HardikerUniversity of Huddersfield, Huddersfield, UK.
Frances HealeyNHS England & NHS Improvement, London, UK.
Alison LynchManchester University NHS Foundation Trust, Manchester, UK.
Natasha AlvaradoUniversity of Bradford, Bradford, UK.

Funding

Department of Health NIHR129488
6 · The paper itself

Abstract

Inpatient falls are an international patient safety concern, accounting for 30-40% of reported safety incidents in acute hospitals. They can cause both physical (e.g. hip fractures) and non-physical harm (e.g. reduced confidence) to patients. We used an approach known as a realist review to identify theories about what interventions might work for whom in what contexts, focusing on what supports and constrains effective use of multifactorial falls risk assessment and falls prevention interventions. One of these theories suggested that staff will integrate recommended practices into their work routines if falls risk assessment tools, including health IT, are quick and easy to use and facilitate existing work routines. Synthesis of empirical studies undertaken in the process of testing and refining this theory has implications for the design of health IT, suggesting that while health IT can support falls prevention through automation, such tools should also allow for incorporation of clinical judgement.

Indexed as

HospitalsPatient SafetyBiomedical TechnologyHumansRisk Assessment

Identifiers

PMID37128418
PMCPMC10148347

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.