Evidence map›Paper›PMID 40169968›Full record

ArticleBMC medical research methodology2025

Longitudinal tracking of healthcare professionals: a methodological scoping review.

Yingxi Zhao, Xuan Li, Attakrit Leckcivilize, Mike English

Abstract readScoping Review
In one paragraph

Article in BMC medical research methodology, 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

4 authors.

Yingxi Zhao *Nuffield Department of Medicine, NDM Centre for Global Health Research, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK. yingxi.zhao@ndm.ox.ac.uk.
Xuan Li *Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Attakrit LeckcivilizeNuffield Department of Medicine, NDM Centre for Global Health Research, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK.
Mike EnglishNuffield Department of Medicine, NDM Centre for Global Health Research, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK.

Funding

National Institute for Health and Care Research NIHR153324Wellcome TrustWellcome Trust 207522
6 · The paper itself

Abstract

backgroundTracking and understanding the progress and experiences of health workers and the outcomes of workforce decisions are essential for evidence-based workforce planning. In this scoping review, we aim to identify longitudinal studies that prospectively tracked healthcare professionals and that specifically focused on workforce issues such as career preferences, choices, and working conditions, and summarise the different approaches and methods used for tracking.

methodsWe searched MEDLINE, Embase, Global Health, PsycINFO, CINAHL, Education Resource Information Center (ERIC), EconLit and the Cochrane Library for articles published between 2000-2022 that longitudinally tracked doctors, nurses, midwives, physician associates/assistants. We further compared articles and conducted a back-and-forward citation search to identify longitudinal tracking studies which sometimes have multiple published articles. We developed a typology of the different tracking approaches, and summarised the major areas assessed and tracked by different studies.

resultsWe identified and analysed 263 longitudinal tracking studies. Based on population recruitment and follow-up methods, we grouped studies into seven categories (cohort studies, multiple-cohort studies, baseline and data linkage studies, baseline and short repeated measure studies, baseline-only studies, data linkage-only studies and repeated survey studies). The majority of studies included used a cohort or multiple-cohort design (n = 180), and several others also used data linkage (n = 45) and repeated measure approaches (n = 24). Sixty-two studies recruited participants while they were students and followed them until they became the active workforce, and nearly half of the included studies started directly from the active workforce stage. Most of the included studies examined workforce issues including employment status, preference or intention (to leave/remain/migrate, specific speciality or location etc.), and work environment, however there was a lack of widely used measurement tools for workforce issues. Additionally, nearly 40% examined wellbeing issues and a subset (20%) examined physical health in the context of workforce-related issues.

conclusionWe described a large number of different healthcare professional longitudinal tracking studies. In order for longitudinal tracking to contribute to effective workforce planning, we recommend employing a mix of cohort and data linkage approaches to collect data across the different stages of the workforce 'working lifespan', and using and continuing to test standardised measurement instruments to better capture experiences related to workforce and wellbeing.

Indexed as

Health PersonnelHealth WorkforceCareer ChoiceHumansLongitudinal StudiesCohortHuman resources for healthLongitudinal studyTrackingWorkforce

Identifiers

PMID40169968
PMCPMC11959867

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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.