Evidence map›Paper›PMID 41584873›Full record

ArticleJournal of Korean gerontological nursing2024

Information-Motivation-Behavioral Skill model-based physical restraint education program for nursing care providers in long-term care hospitals: A quasi-experimental repeated measures non-equivalent control group design.

Sukhyun Jun, Haejung Lee

Abstract read
In one paragraph

Article in Journal of Korean gerontological nursing, 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. Trial
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

2 authors.

Sukhyun JunGraduate Student, College of Nursing, Pusan National University, Busan, Korea.ORCID 0009-0007-4358-1967
Haejung LeeProfessor, College of Nursing · Research Institute of Nursing Research, Pusan National University, Busan, Korea.ORCID 0000-0003-0291-9945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to develop a physical restraints education program using the Information-Motivation-Behavioral Skill (IMB) model and examine its effects on physical restraint-related knowledge, attitudes, nursing practices, and person-centered care of nursing care providers in long-term care hospitals. Methods: A nonequivalent control group repeated measures quasi-experimental design was used. The participants were 54 nursing care providers (intervention group=27, control group=27) in long-term care hospitals from Busan. The IMB model-based education program was developed and implemented once a week for 3 weeks. The program involved brain writing, lectures, poster or slogan creation, writing diary to reduce the use of restraint, and shouting slogans. Data were collected using self-reported questionnaires at pretest, immediately after the program completed (3 weeks after pretest), and 4 weeks after completing the program (7 weeks after pretest). Analysis was conducted using Results: The participants consisted of nurses (40.7%), nursing assistants (40.7%), and care workers (18.5%). The education program had statistically significant effects on knowledge (F=46.38, Conclusion: This education program effectively enhanced nursing care providers' knowledge, attitude, nursing practice, and person-centered care concerning physical restraints. Future research is warranted to provide a regularly repeated program and evaluate the direct effects on the frequency of physical restraints for nursing care providers in long-term care hospitals.

Indexed as

AttitudeEducationKnowledgePatient-centered careRestraint, Physical

Identifiers

PMID41584873
PMCPMC12384340

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LicenceCC BY-NC
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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.