Evidence map›Paper›PMID 40336791›Full record

ArticleThe British journal of occupational therapy2023

Prioritising patients for hospital occupational therapy to reduce inpatient falls: A retrospective case-control study to identify predictive patient falls risk factors.

Kristie J Harper, Emily Mast, Grace Carter, Trey Katnich, Vincent Oldham, Claire Morrisby

Abstract read
In one paragraph

Article in The British journal of occupational therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Kristie J HarperOccupational Therapy Department, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.ORCID https://orcid.org/0000-0002-2967-3183
Emily MastCurtin School of Allied Health, Occupational Therapy, Curtin University, Bentley, WA, Australia.
Grace CarterCurtin School of Allied Health, Occupational Therapy, Curtin University, Bentley, WA, Australia.
Trey KatnichCurtin School of Allied Health, Occupational Therapy, Curtin University, Bentley, WA, Australia.
Vincent OldhamCurtin School of Allied Health, Occupational Therapy, Curtin University, Bentley, WA, Australia.
Claire MorrisbyCurtin School of Allied Health, Occupational Therapy, Curtin University, Bentley, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prompt identification of patients susceptible to falls is required by occupational therapists to initiate early falls prevention and management strategies. This study identified the intrinsic and extrinsic risk factors of patients who experience early inpatient falls (within 48 hours of admission). Method: A retrospective case-control study was completed at a tertiary hospital. Data were extracted from medical records. Adults aged 18 years and older, admitted with any diagnosis, to any ward within the hospital between July 2019 and June 2020 were included. Cases were identified as those who fell within 48 hours of admission and controls did not experience a fall. Results: The study sample included 218 patients (109 cases and 109 control patients). Most falls occurred in the patient's room ( Conclusion: Falls risk factors that are predictive of early inpatient falls should be identified at admission and used to prioritise patients for occupational therapy.

Indexed as

accidental fallshospital inpatientsoccupational therapypatient safetyrisk factors

Identifiers

PMID40336791
PMCPMC12033743

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.