Evidence map›Paper›PMID 40597259›Full record

ArticleBMC nursing2025

Predictive power of the HEMPA risk assessment method for musculoskeletal disorders in nurses and caregivers: insights and implications.

Sayed Vahid Esmaeili, Ali Alboghobeish, Neda Izadi, Fatemeh Azizi, Fatemeh Dorfeshan, Ali Salehi Sahlabadi

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

6 authors.

Sayed Vahid EsmaeiliStudent Research Committee, Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-1243-6242
Ali AlboghobeishStudent Research Committee, Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-7931-427X
Neda IzadiResearch Center for Social Determinants of Health, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh AziziDepartment of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0009-0007-6534-4540
Fatemeh DorfeshanDepartment of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali Salehi SahlabadiDepartment of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. asalehi529@gmail.com.

Funding

Shahid Beheshti University of Medical Sciences 43005800
6 · The paper itself

Abstract

introductionWork-related musculoskeletal disorders (WMSDs) pose a critical occupational health challenge for nurses and caregivers, with high prevalence rates impacting workforce sustainability and care quality. This study evaluates the predictive power of the HEMPA (Herramienta de Evaluación de Movilización de Pacientes) risk assessment method for WMSDs in these high-risk populations, addressing the urgent need for validated tools to guide ergonomic interventions.

methodsThis descriptive and analytical study involved 90 caregivers and nurses from various wards of a medical center in 2024. Data were collected through a three-part form supervised by researchers (demographics, body map musculoskeletal questionnaire, HEMPA tool). Logistic regression assessed HEMPA's predictive capacity for WMSDs prevalence and its relationship with variables like age, gender, body mass index (BMI), and job characteristics. The predictive power of the HEMPA method for different body parts was evaluated using the area under the receiver operating characteristic (ROC) curve values. The study data were analyzed using Stata v.14 software, with a significance level of less than 5% for all tests (P < 0.05).

resultIn this study, 90 caregivers and nurses participated with an age range of 24-60 years and BMI of 27.15 ± 4.02 kg/m

conclusionHEMPA effectively identifies WMSD risks, particularly in high-burden areas like the lower back and neck. This validation underscores HEMPA's utility as a preventive tool, aligning with global efforts to reduce ergonomic hazards for caregivers and nurses. Furthermore, integrating HEMPA with digital monitoring platforms such as injury reporting software and wearable sensors for real-time risk assessment is proposed as a practical solution. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

ErgonomicsHEMPA methodMusculoskeletal disordersPatient handlingRisk assessment

Identifiers

PMID40597259
PMCPMC12210639

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.