Evidence mapPaperPMID 38711987Full record

ArticleFrontiers in pharmacology2024

Development and validation of a nomogram to predict medication risk based on a knowledge, attitude and practice (KAP) survey of residents in Shanxi Province, China.

Da-Shuai Xie, Xue-Hu Xie, Li-Hua Yang, Na Li, Xiao Zhang, Yi-Tong Xie, Wei Yang, Yao-Jun Ning, Jun Xie, Xiao-Jun Cheng and 4 more

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Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Da-Shuai Xie *Department of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Xue-Hu Xie *National Drug Clinical Trial Institution, Shanxi Province Hospital of Traditional Chinese Medicine, Taiyuan, China.
Li-Hua YangDepartment of Pharmacy, Jincheng People's Hospital, Jincheng, China.
Na LiDepartment of Gynecologic, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Xiao ZhangDepartment of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Yi-Tong XieDepartment of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Wei YangDepartment of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Yao-Jun NingDepartment of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Jun XieDepartment of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Xiao-Jun ChengDepartment of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Shao-Jun DuanDepartment of Pharmacy, Jincheng People's Hospital, Jincheng, China.
Shi-Wei WangDepartment of Pharmacy, Shanxi Province Hospital of Traditional Chinese Medicine, Taiyuan, China.
Li-Hong HaoDepartment of Pharmacy, Yangquan Coal Industry (Group) General Hospital, Yangquan, China.
Ping ShiDepartment of Pharmacy, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Unsafe medication practices and medication errors are a major cause of harm in healthcare systems around the world. This study aimed to explore the factors that influence the risk of medication and provide medication risk evaluation model for adults in Shanxi province, China. Methods: The data was obtained from the provincial questionnaire from May to December 2022, relying on the random distribution of questionnaires and online questionnaires by four hospitals in Shanxi Province. Multiple linear regression analysis was used to explore the factors affecting the KAP score of residents. Univariate and multivariate logistic regression was used to determine the independent risk factors, and the nomogram was verified by receiver operating characteristic curve, calibration and decision curve analysis. Results: A total of 3,388 questionnaires were collected, including 3,272 valid questionnaires. The average scores of drugs KAP were 63.2 ± 23.04, 33.05 ± 9.60, 23.67 ± 6.75 and 33.16 ± 10.87, respectively. On the evaluation criteria of the questionnaire, knowledge was scored "fair", attitude and practice were scored "good". Sex, monthly income, place of residence, insurance status, education level, and employment were regarded as independent risk factors for medication and a nomogram was established by them. Conclusion: Males, low-income, and low-educated people are important factors affecting the risk of medication. The application of the model can help residents understand the risk of their own medication behavior and reduce the harm of medication.

Indexed as

ChinafactorKAPmedicationnomogramresident

Identifiers

PMID38711987
PMCPMC11070833

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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 Socratic graph.