Evidence map›Paper›PMID 39707264›Full record

ArticleBMC geriatrics2024

Features of effective hospital fall prevention trials: an intervention component analysis.

Charlotte McLennan, Catherine Sherrington, Jenni Suen, Veethika Nayak, Vasi Naganathan, Katy Sutcliffe, Dylan Kneale, Abby Haynes, Suzanne Dyer

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. 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

9 authors.

Charlotte McLennanSchool of Public Health, Faculty of Medicine and Health, Institute for Musculoskeletal Health, The University of Sydney, Sydney Local Health District, Sydney, Australia. charlotte.mclennan@sydney.edu.au.
Catherine SherringtonSchool of Public Health, Faculty of Medicine and Health, Institute for Musculoskeletal Health, The University of Sydney, Sydney Local Health District, Sydney, Australia.
Jenni SuenFlinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, SA, Australia.
Veethika NayakSchool of Public Health, Faculty of Medicine and Health, Institute for Musculoskeletal Health, The University of Sydney, Sydney Local Health District, Sydney, Australia.
Vasi NaganathanCentre for Education and Research On Ageing, Concord Clinical School, Faculty of Medicine and Health, Concord Hospital, The University of Sydney, Sydney, Australia.
Katy SutcliffeEPPI Centre, Social Research Institute, University College London, London, UK.
Dylan KnealeEPPI Centre, Social Research Institute, University College London, London, UK.
Abby HaynesSchool of Public Health, Faculty of Medicine and Health, Institute for Musculoskeletal Health, The University of Sydney, Sydney Local Health District, Sydney, Australia.
Suzanne DyerFlinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls in hospitals continue to burden patients, staff, and health systems. Prevention approaches are varied, as well as their success at preventing falls. Intervention component analysis (ICA) is useful in indicating important features associated with successful interventions in sets of trial with high heterogeneity.

methodsWe conducted an ICA of systematically identified randomised controlled trials of interventions for preventing falls in older people in hospitals. Trial characteristics were extracted; inductive thematic analysis of published papers from included trials to seek triallists perspectives on drivers of success or failure of trials was conducted (ICA stage one) followed by a stratified thematic synthesis by trial outcomes, where trials were classified as positive or negative based on their falls rate or falls risk ratios (ICA stage two) and mapped to the presence of the theorised drivers of success or failure of the trials.

results45 trials met the inclusion criteria. Inductive thematic analysis of 50 papers revealed three key drivers (themes), each with subthemes, of effective inpatient hospital fall prevention trials. Theme 1, integration with the local setting, was present in 79% of the positive trials and 67% of the negative trials (79% vs 62% engaging ward staff and 33% vs 43% engaging hospital management). Theme 2, responsive interventions, was present in 83% of the positive trials and 71% of the negative trials (29% vs 38% targeting patient risk assessments and 83% vs 57% tailoring to patient needs and abilities). Theme 3, patient and family involvement, featured in 83% of the positive trials and 52% of the negative trials (50% vs 19% through fall prevention awareness and 58% vs 48% through an active role in fall prevention).

conclusionTailored fall prevention approaches and involving patient and family in fall prevention through increasing awareness, in addition to integration with the local intervention setting, appear to play a role in impacting the effectiveness of fall prevention interventions. These theories should be considered in the design of future fall prevention programs and trials and require further evaluation in high quality trials.

Indexed as

Accidental FallsRandomized Controlled Trials as TopicAgedHospitalizationHospitalsHumansAccidental fallsAgeingHospitalsInpatientsPatient harm

Identifiers

PMID39707264
PMCPMC11660957

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.