Evidence map›Paper›PMID 40330747›Full record

ReviewHealth science reports2025

Transforming Nursing Practices: A Comprehensive Review of Performance Improvement Strategies.

Vahideh Rostami, Nahid Hatam, Mohammad Amin Bahrami, Mahnaz Rakhshan, Azad Shokri

Abstract readReview
In one paragraph

Review in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Vahideh RostamiStudent Research Committee, School of Management and Medical Informatics Shiraz University of Medical Sciences Shiraz Iran.ORCID 0009-0005-9662-2748
Nahid HatamHealth Human Resources Research Center, School of Management and Medical Informatics Shiraz University of Medical Sciences Shiraz Iran.
Mohammad Amin BahramiHealth Human Resources Research Center, School of Management and Medical Informatics Shiraz University of Medical Sciences Shiraz Iran.
Mahnaz RakhshanDepartment of Nursing, School of Nursing and Midwifery Shiraz University of Medical Sciences Shiraz Iran.
Azad ShokriSocial Determinants of Health Research Center, Research Institute for Health Development Kurdistan University of Medical Sciences Sanandaj Iran.ORCID 0000-0003-2976-4488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Nurses play a vital role in healthcare systems, directly influencing patient care quality and outcomes. This study aims to identify and analyze strategies for improving nursing performance in Iran through a systematic review and meta-synthesis, following PRISMA 2020 guidelines. Methods: Data were collected from four electronic databases: Web of Science, Scopus, PubMed, and Embase. Qualitative studies and mixed methods focused on nursing performance in Iranian healthcare contexts were included. Data management and theme development were facilitated using MAXQDA qualitative analysis software. Findings: Thirty-seven studies were included, identifying 10 key themes for improving nursing performance: leadership, organizational culture, self-efficacy, mental health support, continuous education, technological integration, working conditions, performance evaluation, recruitment and retention, and service quality improvement. Conclusions: A holistic approach, including leadership development, supportive work environments, continuous education, and technology integration, is essential for enhancing nursing performance and healthcare outcomes in Iran.

Indexed as

Iranmeta‐synthesisnursing effectivenessnursing performancequalitative researchsystematic review

Identifiers

PMID40330747
PMCPMC12052499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.