ArticleBMC nursing2026
Construction of a competency index system for Community-Based Gerontological Nurse Specialists: a Delphi study.
Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
aimTo construct a competency index system for Community-Based Gerontological Nurse Specialists.
backgroundGlobal population aging has created urgent demand for specialized geriatric nursing competencies, particularly in community settings. While international competency frameworks exist, a standardized competency index system for community-based gerontological nurse specialists (CGNS) that aligns with Chinese healthcare realities and policy priorities is lacking.
methodsA literature review and semi-structured interviews were conducted to develop an initial framework. A two-round Delphi survey was employed to build the index system for Community-Based Gerontological Nurse Specialists.
resultsThe final validated competency index system included 4 first-level indicators (knowledge, skills, abilities, motivation/traits), 13 s-level indicators and 40 third-level indicators. The effective response rates of the two expert consultation rounds were 100%. The expert authority coefficients were 0.888. The coefficients of variation were 0.1192 and 0.0961, and the Kendall’s coefficient of concordance were 0.254 and 0.382, respectively (P < 0.05).
conclusionThe competency index system of community gerontological specialist nurses constructed through the competency onion model is scientific and practical, which can provide a reference for the training, assessment and evaluation of senior community geriatric nursing talents.
Indexed as
Identifiers
What Socratic 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 Socratic graph.