Evidence map›Paper›PMID 41474151›Full record

ArticleInternational nursing review2026

Public Perceptions and Career Intentions Regarding Clinical Nurse Specialist and Physician Associate Roles: A Cross-Sectional Survey.

Merav Ben Natan, Yuval Ben Zeev, Nicole Bezelanski

Abstract read
In one paragraph

Article in International nursing review, 2026. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

3 authors.

Merav Ben NatanDepartment of Nursing, Tel Aviv University, Tel Aviv, Israel.
Yuval Ben ZeevAcademic School of Nursing, Hillel Yaffe Medical Center, Hadera, Israel.
Nicole BezelanskiAcademic School of Nursing, Hillel Yaffe Medical Center, Hadera, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess public awareness, perceptions, and educational intentions regarding Clinical Nurse Specialist (CNS) and Physician Associate (PA) roles in Israel, and to identify predictors of interest in these career pathways.

backgroundAmid physician shortages, countries are promoting advanced roles such as CNSs and PAs to strengthen healthcare capacity. In Israel, both roles are relatively new and underrecognized.

methodsA cross-sectional survey of 200 adults in Israel used descriptive statistics to assess familiarity and interest in CNS and PA roles. Two multiple linear regression models identified predictors of interest in pursuing each role's educational pathway.

findingsAwareness of advanced roles was limited: 25.5% and 21% reported familiarity with CNSs and PAs, respectively. Despite this, 26.5% expressed interest in the CNS pathway and 17% in the PA pathway. Women were more likely to favor the CNS role; men showed greater interest in the PA role. Self-efficacy, career motivation, and gender predicted CNS interest (R DISCUSSION: These findings highlight the need to clarify role definitions, address gendered perceptions, and implement targeted outreach. Differences in predictors suggest that CNS and PA roles appeal to distinct motivational and cognitive profiles.

conclusionDespite low awareness, there is substantial public interest in CNS and PA roles. Tailored educational and communication strategies are needed to increase understanding and engagement. IMPLICATIONS FOR NURSING: Nurses should use clinical encounters to explain CNS and PA roles and build trust. IMPLICATIONS FOR HEALTH POLICY: Policymakers should support awareness campaigns, training incentives, and curricular integration to promote role legitimacy and address global workforce challenges.

Indexed as

Career ChoiceNurse CliniciansNurse's RolePublic OpinionAdultCross-Sectional StudiesFemaleHumansIntentionIsraelMaleMiddle AgedSurveys and Questionnairesadvanced clinical rolescareer motivationclinical nurse specialistgenderhealthcare educationhealth workforcephysician associatepublic perception

Identifiers

PMID41474151
PMCPMC12755060

What OpenQuestion holds

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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.