{"doi":"10.1136/bmjopen-2022-066296","title":"Genetic and genomic nursing competency among nurses in tertiary general hospitals and cancer hospitals in mainland China: a nationwide survey","abstract":"OBJECTIVES: To explore genetic/genomic nursing competency and associated factors among nurses from tertiary general and specialist cancer hospitals in mainland China and compare the competencies of nurses from the two types of hospitals. DESIGN AND SETTING: A cross-sectional survey was conducted from November 2019 to January 2020, wherein 2118 nurses were recruited from 8 tertiary general hospitals and 4 cancer hospitals in mainland China. We distributed electronic questionnaires to collect data on nurses' demographics, work-related variables and genomic nursing competency. PARTICIPANTS: 2118 nurses were recruited via a three-stage stratified cluster sampling method. RESULTS: More than half (59.1%, 1252/2118) of the participants reported that their curriculum included genetics/genomics content. The mean nurses' genomic knowledge score was 8.30/12 (95% CI=8.21 to 8.39). Only 5.4% had always collected a complete family history in the past 3 months. Compared with general hospital nurses, slightly more cancer hospital nurses (75.6% vs 70.6%, p=0.010) recognised the importance of genomics, while there was no significant difference in the knowledge scores (8.38 vs 8.21, p>0.05). Gender (β=0.06, p=0.005), years of clinical nursing (β=-0.07, p=0.002), initial level of nursing education (β=0.10, p<0.001), membership of the Chinese Nursing Association (β=0.06, p=0.004), whether their curriculum included genetics/genomics content (β=0.08, p=0.001) and attitude towards becoming more educated in genetics/genomics (β=0.25, p<0.001) were significantly associated with the nurses' genomic knowledge score. CONCLUSION: The levels of genomic knowledge among mainland Chinese nurses in tertiary hospitals were moderate. The overall genomic competency of cancer hospital nurses was comparable to that of general hospital nurses. Further genomic training is needed for nurses in China to increase their genomic competency and accelerate the integration of genomics into nursing practice.","journal":"BMJ Open","year":2022,"id":245357,"datarank":1.0310374049851447,"base_score":3.1780538303479458,"endowment":3.1780538303479458,"self_citation_contribution":0.47670807455219194,"citation_network_contribution":0.5543293304329528,"self_endowment_contribution":0.47670807455219194,"citer_contribution":0.5543293304329528,"corpus_percentile":80.3357314148681,"corpus_rank":2543,"citation_count":23,"citer_count":22,"citers_with_citation_signal":16,"citers_with_endowment":16,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5229,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":879916,"name":"Xuying Li","orcid":"0000-0001-5676-9239","position":1,"is_corresponding":false},{"id":764571,"name":"Yi Liu","orcid":"0000-0002-4295-8714","position":2,"is_corresponding":false},{"id":648981,"name":"Kathleen Calzone","orcid":null,"position":3,"is_corresponding":false},{"id":395383,"name":"Juan Xu","orcid":"0000-0002-9470-9963","position":4,"is_corresponding":false},{"id":879917,"name":"Xueling Xiao","orcid":"0000-0002-8810-9291","position":5,"is_corresponding":false},{"id":587088,"name":"Honghong Wang","orcid":"0000-0002-3484-8929","position":6,"is_corresponding":false},{"id":879915,"name":"Xiaomin Zhao","orcid":"0000-0001-8562-694X","position":0,"is_corresponding":true}],"reference_count":26,"raw_metadata":null,"created_at":"2026-07-19T00:23:34.974895Z","pmid":"36585129","pmcid":"PMC9809297","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":22.2222,"fair_a":18.75,"fair_i":20.0,"fair_r":33.3333,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":22.22,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No identifier for the dataset is provided in the paper.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No repository is named; data are available from the author.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"Data are available upon reasonable request. 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A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No identifier for the dataset is provided in the paper.","gain":16.67,"priority":"essential","scored":true},{"key":"f_repository_named","dimension":"F","label":"Named repository","action":"Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. 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A name is not a link: it cannot be resolved, versioned, or followed by a machine.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No identifier for external resources (datasets, databases, code) is given.","gain":0.0,"priority":"useful","scored":false},{"key":"a_timeline_retention","dimension":"A","label":"Availability timing & retention","action":"State when the data become available AND how long they will be retained — cite the repository's preservation policy. NIH DMS Element 4 asks for both; most papers give neither.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No timeline or retention period is stated for the data.","gain":0.0,"priority":"useful","scored":false}],"suggestions":["Mint or cite a persistent identifier for the dataset — a repository DOI or an accession from a registered repository — and print it in the paper. A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. 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Cite the clinical / human-subjects repository accession (e.g. from dbGaP or the European Genome-phenome Archive (EGA)) in the reference list."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"epmc_xml"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"epmc_xml","fair_has_llm":true,"fair_computed_at":"2026-07-20T11:47:40.437117Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}