Evidence map›Paper›PMID 40052379›Full record

ArticleTurkish journal of pharmaceutical sciences2025

Exploring the Nexus of Professional Commitment, Emotional Labor, and Self-Efficacy Among Community Pharmacists: Implications for Healthcare Delivery.

Yağmur Özkaya, Gülbin Özçelikay

Abstract read
In one paragraph

Article in Turkish journal of pharmaceutical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

2 authors.

Yağmur ÖzkayaErzincan Binali Yıldırım University Faculty of Pharmacy, Department of Pharmacy Management, Erzincan, Türkiye.ORCID 0000-0003-2937-0366
Gülbin ÖzçelikayErzincan Binali Yıldırım University Faculty of Pharmacy, Department of Pharmacy Management, Erzincan, Türkiye.ORCID 0000-0002-1580-5050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to explore the relationship between emotional labor, professional commitment, and self-efficacy among community pharmacists. Specifically, this study examined how self-efficacy influences professional commitment and the mediating role of emotional labor strategies in this relationship. Materials and Methods: A cross-sectional survey design was used to collect data from 396 community pharmacists. The study used a convenience sampling method and included standardized measures of emotional labor, professional commitment, and self-efficacy. Descriptive statistics were used to examine the levels of these variables among the participants. Multiple regression analyses were conducted to assess the interdependencies and mediating effects of emotional labor strategies. Results: General self-efficacy was positively correlated with emotional commitment (β=0.275, Conclusion: The results highlight the crucial role of self-efficacy in managing the emotional demands of the pharmacy profession and in fostering stronger professional commitment. Enhancing pharmacists' self-efficacy and emotional management skills can improve their job satisfaction and commitment to the profession. These findings have clinical implications for the development of training interventions aimed at supporting pharmacists in coping with the emotional aspects of their work and improving their overall professional well-being.

Indexed as

community pharmacistsEmotional laborpharmacy practiceprofessional commitmentself-efficacy

Identifiers

PMID40052379
PMCPMC11887593

What OpenQuestion holds

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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.