Evidence map›Paper›PMID 42432588›Full record

ArticleBMC medical education2026

Professional socialization as a complex adaptive process: a systematic scoping review and integrative theory of professional identity formation.

Suzanne Pei Lin Goh, Mikail Faris Akbar, Anton Zhi Hao Teo, Priyadarshini A, Jun Rey Leong, Annushkha Sinnathamby, Eng Koon Ong, Vengadasalam Murugam, Ying Yin Lim, Crystal Lim and 2 more

Abstract readScoping Review
In one paragraph

Article in BMC medical education, 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

12 authors.

Suzanne Pei Lin GohKK Women's and Children Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore.
Mikail Faris AkbarYong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 11, Block 1E, Kent Ridge Road, Singapore, 119228, Singapore.
Anton Zhi Hao TeoYong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 11, Block 1E, Kent Ridge Road, Singapore, 119228, Singapore.
Priyadarshini ADivision of Cancer Education, National Cancer Centre Singapore, 30 Hospital Boulevard, Singapore, 168583, Singapore.
Jun Rey LeongYong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 11, Block 1E, Kent Ridge Road, Singapore, 119228, Singapore.
Annushkha SinnathambyKhoo Teck Puat National University Children's Medical Institute, National University Health System, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
Eng Koon OngDuke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Vengadasalam MurugamDuke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Ying Yin LimDivision of Supportive Care & Palliative Medicine, Department of Medicine, Alexandra Hospital NUHS, Singapore, 159964, Singapore.
Crystal LimMedical Social Services, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
Muhammad Amin ShaikGroup Clinical Education, NHG Health, 1 Mandalay Road, Singapore, 308205, Singapore.
Lalit Kumar Radha KrishnaDuke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore. gmslkrk@nus.edu.sg.ORCID http://orcid.org/0000-0002-7350-8644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProfessional socialization is central to professional identity formation (PIF), shaping how physicians think, act, and feel within their roles. Despite sustained scholarly attention and curricular innovation, there remains limited understanding of how professional socialization actually operates, or why individuals exposed to similar training environments develop markedly different professional identities.

methodsTo examine this, we conducted a systematic scoping review using an AI-supplemented modified Systematic Evidence-Based Approach (mSEBA) to examine current theories of professional socialization. Searches across major databases and grey literature identified 46 empirical and theoretical articles, encompassing 43 theories across medicine, nursing, pharmacy, and allied health professions. A multi-stage analytic process involving thematic analysis, content analysis, and triangulation was used to synthesize findings.

resultsAcross included theories, professional socialization consistently emerged as a non-linear, context-sensitive process characterized by individual variation and feedback-driven adaptation. Synthesis of the literature revealed recurring patterns highlighting the importance of belief integration, identity coherence, and contextual navigation in shaping PIF. Viewed collectively, existing theories align with key features of complex adaptive systems but do not fully explain the inner processes through which individuals integrate experiences and develop stable professional identities.

conclusionThis review therefore reframes professional socialization as a belief-mediated complex adaptive process, and introduces the Krishna Theory of Socialization, an integrative framework that links system-level influences with belief-mediated identity work and a longitudinal trajectory of socialization. This theory offers a coherent account of how professional identities form, stabilize, and adapt over time, providing a conceptual foundation for future research, educational design, and learner support across health professions.

Indexed as

Social IdentificationSocializationHumansSocial GroupComplex adaptive systemHealthcareProfessional identityProfessional identity formationSocialization

Identifiers

PMID42432588
PMCPMC13640327

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.