Evidence map›Paper›PMID 39612157›Full record

ArticleTherapeutic innovation & regulatory science2025

Research on Core Competency Elements of Clinical Investigators.

Xin Wang, Shuang Zhao, Han Yang, Miao Miao, Siwei An, Wenbing Yao

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Article in Therapeutic innovation & regulatory science, 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

6 authors.

Xin WangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 210009, China.
Shuang ZhaoClinical Trial Research Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Han YangClinical Trial Research Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Miao MiaoClinical Trial Research Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Siwei AnSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 210009, China.
Wenbing YaoSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 210009, China. wbyao@cpu.edu.cn.

Funding

Capital Health Research and Special Project BJ-2022-045
6 · The paper itself

Abstract

backgroundTo construct a competency model for clinical investigators involved in the process of new drug development, providing a reference for the training, selection and assessment of clinical investigators.

methodsThe Behavioral Event Interview (BEI) method was used to interview 12 excellent clinical investigators and 8 clinical investigators of average performance. Each competency characteristic was extracted from the interview text by semantic coding. Total frequency, total score, average score and highest score were calculated for each competency element. Category agreement coefficient, coefficient of reliability and Spearman correlation coefficient were used to assess the consistency of two coders for coding and classification. Independent-samples Mann-Whitney U test was applied to compare the differences in competency elements between the group of excellent clinical investigators and the group of average investigators.

resultsThe average coefficient of category agreement was 0.671, and the average coefficient of reliability was 0.803. No significant differences were observed between the two groups in the aspect of interview time (P = 0.190) and the interview words (P = 0.184), indicating comparability between the two groups. However, there was a clear performance difference between the excellent and average groups. In addition, we found that the competency model for clinical investigators contained 24 prominent competence elements and 8 benchmark competency elements.

conclusionsClinical investigator is a medical professional who is involved in a highly research-intensive and practical job, where prominent competency element largely reflects clinical practice skills, innovation and awareness of Good Clinic Practice (GCP). Our results provide a reference for assessing clinical investigators' competencies, encouraging and guiding them to modify their behaviors according to the competency model, and also cultivating clinical investigators so as to improve the competence level of clinical investigators.

Indexed as

Research PersonnelBiomedical ResearchClinical CompetenceDrug DevelopmentHumansInterviews as TopicProfessional CompetenceReproducibility of ResultsBehavioral Event InterviewClinical InvestigatorsCompetencyNew drug Development

Identifiers

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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.