Evidence map›Paper›PMID 40420146›Full record

ArticleBMC medical education2025

Examining final-year healthcare students' willingness to work with older adults: a mediator-moderator analysis of knowledge, ageism, and grandparental relationships.

Adi Vitman-Schorr, Violetta Rozani

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Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Adi Vitman-SchorrDepartment of Social Work, The Research Centre for Innovation in Social Work, Tel Hai College, Tel Hai, Israel.ORCID http://orcid.org/0000-0002-0580-218X
Violetta RozaniDepartment of Nursing Sciences, Steyer School of Health Professions, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Ramat Aviv, Tel Aviv, 69978, Israel. koifmanv@tauex.tau.ac.il.ORCID http://orcid.org/0000-0001-6306-6267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current growth in the aging population highlights the need for healthcare professionals who are willing to work with older adults. Previous studies suggest that knowledge about older adults, ageism, and personal relationships with older adults may influence career preferences in geriatric care.

aimsTo examine the direct relationship between healthcare students' knowledge of older adults and their willingness to work with this population, as well as to explore the indirect effect of ageism as a mediator and the moderating effect of a connection with grandparents.

designA cross-sectional study using a closed self-reported questionnaire.

settingThe largest academic Faculty of Medical and Health Sciences in Israel.

participantsOut of 350 final-year students, 241 (68.9% response rate) agreed to participate in the study, including students from nursing (47.3%), medicine (36.9%), and physiotherapy (15.8%).

methodsThe participants completed a self-administered questionnaire addressing demographic characteristics, willingness to work with older adults, knowledge, ageism, and relationships with grandparents. Mediator-moderator analyses were conducted to explore the roles of ageism as the mediator and the connection with grandparents as the moderator. The bootstrapping method (PROCESS model 5) was employed to assess indirect effects.

resultsPositive correlations were found between willingness to work with older adults and both knowledge about older adults (r = 0.15, p < 0.05) and connection with grandparents (r = 0.16, p < 0.05), while ageism negatively correlated with both willingness to work with older adults (r = -0.18, p < 0.05) and knowledge about older adults (r = -0.19, p < 0.05). The mediation analysis revealed that knowledge about older adults significantly increases willingness to work with them, both directly and indirectly through reduced ageism. Moderation analysis revealed that the relationship between knowledge and willingness to work with older adults was significant only for those with a poor connection with grandparents.

conclusionThis research underscores the crucial role of knowledge, ageism, and connection with older people in shaping healthcare students' willingness to work with older adults. Interventions addressing social connections can foster interest and engagement in the care of the older adults, particularly among students with limited grandparental relationships.

Indexed as

AgeismAttitude of Health PersonnelCareer ChoiceGrandparentsHealth Knowledge, Attitudes, PracticeIntergenerational RelationsStudents, Health OccupationsStudents, MedicalAdultAgedCross-Sectional StudiesFemaleGeriatricsHumansIsraelMaleAgeismA mediator-moderator analysisGrandparental relationshipsHealthcare studentsKnowledgeWillingness to work with older adults

Identifiers

PMID40420146
PMCPMC12105131

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LicenceCC BY-NC-ND
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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.