Evidence map›Paper›PMID 37007873›Full record

ArticleTherapeutic advances in drug safety2023

Development and psychometric assessment of self-reported patient medication safety scale (SR-PMSS).

Ning Qin, Yinglong Duan, Shuangjiao Shi, Xiao Li, Haoqi Liu, Feng Zheng, Zhuqing Zhong, Guliang Xiang

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Article in Therapeutic advances in drug safety, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2 citing papers in PubMed.

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8 authors.

Ning QinNursing Department, The Third Xiangya Hospital of Central South University, Changsha, China.
Yinglong DuanDepartment of Emergency, The Third Xiangya Hospital of Central South University, Changsha, China.
Shuangjiao ShiDepartment of Cardiology, The Third Xiangya Hospital of Central South University, Changsha, China.
Xiao LiXiangya School of Nursing, Central South University, Changsha, China.
Haoqi LiuXiangya School of Nursing, Central South University, Changsha, China.
Feng ZhengDepartment of Cardiology, The Third Xiangya Hospital of Central South University, Changsha, China.
Zhuqing ZhongNursing Department, The Third Xiangya Hospital of Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-0157-364X
Guliang XiangDepartment of Nuclear Medicine, The Third Xiangya Hospital of Central South University, Changsha 410013, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, few tools have been developed to assess patient medication safety. This study aimed to develop and validate the self-reported patient medication safety scale (SR-PMSS). Methods: We developed SR-PMSS guided by the Donabedian Structure-Process-Outcome framework and used psychometric methods to test its validity and reliability. Results: A total of 501 patients with an average age of 56.81 ± 14.47 were enrolled in this study. The SR-PMSS consisted of 21 items and 5 factors. The content validity was good with item-level content validity index (CVI) > 0.78, average scale-level CVI (S-CVI) > 0.9, and universal agreement S-CVI > 0.8. Exploratory factor analysis extracted a five-factor solution with eigenvalues > 0.1, explaining 67.766% of the variance. Confirmatory factor analysis showed good model fit, acceptable convergent validity, and discriminant validity. The Cronbach's α coefficient for SR-PMSS was 0.929, the split-half reliability coefficient was 0.855, and the test-retest reliability coefficient was 0.978. Conclusions: The SR-PMSS was a valid and reliable instrument with good reliability and validity to evaluate the level of patient medication safety. The target users of the SR-PMSS are all people who are taking or have used prescription medications. The SR-PMSS can be used by healthcare providers in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management. Plain Language Summary:

Indexed as

medication safetypatientreliabilityscaleself-reportvalidity

Identifiers

PMID37007873
PMCPMC10052723

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