Jove
Visualize
Contact Us

Related Experiment Videos

Rigorously assessing whether the data backs the back school.

David T Vinh1, Craig W Johnson, Cynthia L Phelps

  • 1School of Health Information Sciences, University of Texas Health Science Center at Houston, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Etiological myocardial injury classification versus binary myocardial infarction classification in the multi-ethnic study of atherosclerosis (MESA).

American journal of preventive cardiology·2026
Same author

Proteome-wide association study of prostate cancer risk across populations.

Nature communications·2025
Same author

Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed.

medRxiv : the preprint server for health sciences·2025
Same author

Kidney Function and Incident Stroke and Dementia Using an Updated Estimated Glomerular Filtration Rate Equation Without Race: The Multi-Ethnic Study of Atherosclerosis.

Kidney medicine·2025
Same author

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

Obesity (Silver Spring, Md.)·2024
Same author

Proteomics of left ventricular structure in the Multi-Ethnic Study of Atherosclerosis.

ESC heart failure·2024
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

This study evaluated back safety and patient transfer training for nurses and nursing assistants. The training improved self-efficacy, cognitive, and affective measures, demonstrating effective intervention strategies.

Area of Science:

  • Healthcare Education
  • Nursing Practice
  • Occupational Safety

Background:

  • Healthcare workers, particularly nurses and nursing assistants, face high risks of back injuries.
  • Effective training is crucial for preventing injuries during patient handling and transfers.
  • Existing training evaluation methods often struggle with ethical and practical challenges of control groups.

Purpose of the Study:

  • To evaluate the effectiveness of back safety and patient transfer training interventions.
  • To assess the impact of training on nurses' and nursing assistants' self-efficacy, cognitive understanding, and affective responses.
  • To introduce a novel methodology for training evaluation that overcomes control group limitations.

Main Methods:

  • A rigorous between-subjects methodology was employed.

Related Experiment Videos

  • Independent random samples were utilized for participant selection.
  • The study assessed effects on self-efficacy, cognitive, and affective measures for three distinct back safety procedures.

    • Main Results:

    • The designed methodology successfully enabled the evaluation of training interventions.
    • The training demonstrated positive effects on self-efficacy, cognitive, and affective measures among participants.
    • The approach addressed the challenge of establishing randomly assigned independent controls when all subjects must receive training.

    Conclusions:

    • The implemented training interventions are effective in improving key measures for hospital nurses and nursing assistants.
    • The novel evaluation methodology is clinically applicable and ethically sound.
    • This study provides a model for effective training and evaluation in healthcare settings.