ArticleComputational intelligence and neuroscience2022
Construction of Training Program for Specialized Nurses in the Central Sterile Supply Department (CSSD) Based on Post Competency.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
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
1 citing paper in PubMed, 2 citations in OpenAlex.
- Retracted: Construction of Training Program for Specialized Nurses in the Central Sterile Supply Department (CSSD) Based on Post Competency.Computational intelligence and neuroscience · 2023Article
Corrections and comments
- Retraction · 2023-08-02Concerns/Issues about Data · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/A807636318C4FAF3BBC6944F1C3AE5
- Retracted
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this study is to analyze the construction of a training program for specialized nurses in disinfection supply center (CSSD) based on post competency. Methods: Based on the theory of post competency, literature analysis, investigation, and expert consultation are used to establish training contents and methods. Results: Two rounds of expert consultation were conducted in this study. In the first round of expert consultation, 22 questionnaires were sent out and 21 valid questionnaires were received with an effective recovery of 95.45%. Seven experts (31.82%) proposed 53 suggestions for modification. A total of 21 questionnaires were sent out in the second round of expert consultation and 21 were effectively received with an effective recovery rate of 100.00%. In the first round of expert consultation, the mean importance score of 63 third-level indicators was 4.00-5.00 points, the standard deviation was 0.00-1.00, and the full score rate was 46.54%-100.00%. In the second round of expert consultation, the mean importance score of 67 third-level indicators was 4.05∼5.00 points, the standard deviation was 0.00-0.88, and the full score rate was 20.00%∼100.00%. In the first round of expert consultation, the Kendall coordination coefficient was 0.187. In the second round of expert consultation, the Kendall coordination coefficient was 0.2196, and the differences were statistically significant after Conclusion: The CSSD-specialized nurse training program based on job competency constructed in this study takes job competency as the theoretical basis and uses a literature analysis method, survey research method, and expert consultation method to establish the content and method of training, the above methods are scientific and reasonable, and experts are motivated. It is highly authoritative, and the consultation opinions of experts at all levels of indicators tend to be consistent, which can provide reference for the training of CSSD specialized nurses.
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.