Evidence map›Paper›PMID 41285572›Full record

ArticleBMJ leader2026

Succession planning in nursing management: a scoping review.

Mohammadsaeed Mirzaee, Tahmine Salehi, Mansoureh Ashghali-Farahani

Abstract readScoping Review
In one paragraph

Article in BMJ leader, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mohammadsaeed MirzaeeSocial Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran, Iran (the Islamic Republic of) saeedmirzaee75@gmail.com.ORCID 0000-0003-0372-1383
Tahmine SalehiIran University of Medical Sciences, Tehran, Iran (the Islamic Republic of).
Mansoureh Ashghali-FarahaniIran University of Medical Sciences, Tehran, Iran (the Islamic Republic of).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this review article is to comprehensively examine and analyse the studies and research conducted in the field of succession planning in nursing management.

introductionSuccession planning, through the identification and appointment of qualified managers to key leadership positions, helps improve the quality of nursing services.

methodsThe present study is a scoping review that was conducted using Arksey and O'Malley's framework. We used English-language databases such as Web of Science, PubMed, Scopus, ProQuest and the Google Scholar search engine. Additionally, for searching Persian-language sources, databases such as the Islamic World Science Citation Center, the Jihad University Journals Bank, Iran-Doc, Elm-Net and the Ministry of Health's of Iran Theses System were employed.

results30 documents were selected based on the evaluation for data extraction, aligning with the objectives of the study. The results of the data analysis identified six main categories related to succession planning: barriers, facilitators, requirements, contextualisation, cyclical succession planning and potential succession planner organisation.

conclusionBased on the importance of succession planning in nursing management, we recommend using the study's findings to plan and carry out thorough and practical research, formulate guidelines and managerial policies, define hospital goals and missions, and shape the organisational vision.

Indexed as

LeadershipNurse AdministratorsHumansIranhealth systemmanagementnursesucession planning

Identifiers

PMID41285572
PMCPMC13479216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.