PDF(Pubmed)
Abstract：
UNASSIGNED: 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).
UNASSIGNED: We developed SR-PMSS guided by the Donabedian Structure-Process-Outcome framework and used psychometric methods to test its validity and reliability.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: SR-PMSS - a self-reported tool to assess patient medication safetyMedication therapy was the most common and frequent treatment method to prevent and cure diseases. Medication safety issues may occur in the process of medication use. Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, there are few tools to assess patient medication safety currently, and most of them focused on medication safety related to hospitals or healthcare workers. We developed the self-reported patient medication safety scale (SR-PMSS) guided by the Donabedian Structure-Process-Outcome framework. Then, we conducted a two-round expert consultation, clarity verification, and item simplification to determine the final version of the scale. The SR-PMSS consisted of 21 items and 5 factors and it had good validity and reliability. The target users of the SR-PMSS are all people who are taking or have used prescription medications. Healthcare providers can use the SR-PMSS 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.
UNASSIGNED: We developed SR-PMSS guided by the Donabedian Structure-Process-Outcome framework and used psychometric methods to test its validity and reliability.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: SR-PMSS - a self-reported tool to assess patient medication safetyMedication therapy was the most common and frequent treatment method to prevent and cure diseases. Medication safety issues may occur in the process of medication use. Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, there are few tools to assess patient medication safety currently, and most of them focused on medication safety related to hospitals or healthcare workers. We developed the self-reported patient medication safety scale (SR-PMSS) guided by the Donabedian Structure-Process-Outcome framework. Then, we conducted a two-round expert consultation, clarity verification, and item simplification to determine the final version of the scale. The SR-PMSS consisted of 21 items and 5 factors and it had good validity and reliability. The target users of the SR-PMSS are all people who are taking or have used prescription medications. Healthcare providers can use the SR-PMSS 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.
摘要：
■患者用药安全会影响其临床结果，并在患者安全管理中发挥重要作用。然而,很少有工具被开发来评估患者用药安全.本研究旨在开发和验证自我报告的患者用药安全量表（SR-PMSS）。
■我们开发了由Donabedian结构-过程-结果框架指导的SR-PMSS，并使用心理计量学方法来测试其有效性和可靠性。
■本研究共纳入501例患者，平均年龄为56.81±14.47。SR-PMSS由21个项目和5个因素组成。内容效度良好，项目级内容效度指数（CVI）>0.78，平均量表级CVI（S-CVI）>0.9，通用协议S-CVI>0.8。探索性因子分析提取了特征值>0.1的五因子解，解释了67.766%的方差。验证性因子分析显示出良好的模型拟合，可接受的收敛有效性，和判别效度。SR-PMSS的Cronbach'sα系数为0.929，分半可靠性系数为0.855，重测可靠性系数为0.978。
■SR-PMSS是一种有效且可靠的工具，具有良好的可靠性和有效性，可以评估患者的用药安全水平。SR-PMSS的目标用户是所有正在服用或已经使用处方药的人。SR-PMSS可由医疗保健提供者在临床实践和研究中使用，以识别有药物使用风险的患者，并对其进行干预以减少不良药物事件并为患者安全管理提供支持。
■SR-PMSS-一种自我报告的评估患者用药安全性的工具药物治疗是预防和治愈疾病的最常见和最常用的治疗方法。用药过程中可能出现用药安全问题。患者用药安全会影响其临床结局，在患者安全管理中起着重要作用。然而,目前很少有工具来评估患者用药安全，他们中的大多数专注于与医院或医护人员相关的药物安全。我们开发了由Donabedian结构-过程-结果框架指导的自我报告患者用药安全量表（SR-PMSS）。然后，我们进行了两轮专家咨询，清晰度验证，和项目简化，以确定量表的最终版本。SR-PMSS由21个项目和5个因素组成，具有良好的效度和信度。SR-PMSS的目标用户是所有正在服用或已经使用处方药的人。医疗保健提供者可以在临床实践和研究中使用SR-PMSS来识别有药物使用风险的患者，并对其进行干预以减少不良药物事件并为患者安全管理提供支持。
■我们开发了由Donabedian结构-过程-结果框架指导的SR-PMSS，并使用心理计量学方法来测试其有效性和可靠性。
■本研究共纳入501例患者，平均年龄为56.81±14.47。SR-PMSS由21个项目和5个因素组成。内容效度良好，项目级内容效度指数（CVI）>0.78，平均量表级CVI（S-CVI）>0.9，通用协议S-CVI>0.8。探索性因子分析提取了特征值>0.1的五因子解，解释了67.766%的方差。验证性因子分析显示出良好的模型拟合，可接受的收敛有效性，和判别效度。SR-PMSS的Cronbach'sα系数为0.929，分半可靠性系数为0.855，重测可靠性系数为0.978。
■SR-PMSS是一种有效且可靠的工具，具有良好的可靠性和有效性，可以评估患者的用药安全水平。SR-PMSS的目标用户是所有正在服用或已经使用处方药的人。SR-PMSS可由医疗保健提供者在临床实践和研究中使用，以识别有药物使用风险的患者，并对其进行干预以减少不良药物事件并为患者安全管理提供支持。
■SR-PMSS-一种自我报告的评估患者用药安全性的工具药物治疗是预防和治愈疾病的最常见和最常用的治疗方法。用药过程中可能出现用药安全问题。患者用药安全会影响其临床结局，在患者安全管理中起着重要作用。然而,目前很少有工具来评估患者用药安全，他们中的大多数专注于与医院或医护人员相关的药物安全。我们开发了由Donabedian结构-过程-结果框架指导的自我报告患者用药安全量表（SR-PMSS）。然后，我们进行了两轮专家咨询，清晰度验证，和项目简化，以确定量表的最终版本。SR-PMSS由21个项目和5个因素组成，具有良好的效度和信度。SR-PMSS的目标用户是所有正在服用或已经使用处方药的人。医疗保健提供者可以在临床实践和研究中使用SR-PMSS来识别有药物使用风险的患者，并对其进行干预以减少不良药物事件并为患者安全管理提供支持。
