ArticleBMC nursing2026
Nursing managers' perceptions of clinical nurses' self-management in professional title promotion: a qualitative user persona study.
Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Healthcare Professionals' Perspectives on Nursing Competency: A Synthesis of Qualitative Evidence.International nursing review · 2026Review
- Development and psychometric evaluation of the Self-Regulated Nursing Care Scale (SRNCS) among Turkish nurses.BMC nursing · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProfessional title promotion is a critical pathway for clinical nurses' career development in China, yet nursing managers observe substantial heterogeneity in nurses' self-management behaviors during the promotion process. Clarifying how managers perceive these differences is important for designing targeted strategies to support clinical nurses' professional title promotion.
methodsA purposive sampling method was employed to select 15 frontline clinical nursing managers for semi-structured interviews regarding their observations and perceptions of staff nurses' self-management in professional title promotion. Data were analyzed using Colaizzi's seven-step method for qualitative analysis. Based on Benner's theoretical framework and interview content, key self-management characteristics of clinical nurses in professional title promotion were extracted, and a profile model was constructed. Visualization was achieved through word clouds and tables.
resultsFive core characteristics were identified in nursing managers' descriptions of clinical nurses' self-management: personal traits, career awareness, educational background, professional experience, and sociocultural influences. Four perceived self-management profiles of clinical nurses were categorized: aggressive, potential-mining, stable-conservative, and laissez-faire.
conclusionBased on interviews with 15 nursing managers from three tertiary hospitals in Jiangsu Province, we identified four perceived self-management profiles of clinical nurses in professional title promotion across five key dimensions. These findings, which reflect nursing managers' observations rather than clinical nurses' self-reported experiences, suggest that tailoring managerial support and development interventions to these perceived profiles may help support clinical nurses' career advancement in similar hospital contexts; however, further research is needed to examine the transferability of these profiles to other regions and to nurses' own accounts. Given the hierarchical nature of hospital nursing, these manager-derived personas may also reflect organizational expectations and power dynamics; future studies should triangulate managers' views with nurses' own accounts and other data sources. CLINICAL TRIAL NUMBER: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.