Suppr超能文献

运用探索性因素分析开发2型糖尿病管理健康信息供应链的信息质量量表。

Development of the information quality scale for health information supply chain type 2 diabetes mellitus management using exploratory factor analysis.

作者信息

Karimah Rinda Nurul, Kusnanto Hari, Lazuardi Lutfan

机构信息

Doctoral Program of Medicine and Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Department of Health Science, Politeknik Negeri Jember, East Java, Indonesia.

出版信息

J Public Health Res. 2023 May 8;12(2):22799036231170843. doi: 10.1177/22799036231170843. eCollection 2023 Apr.

Abstract

BACKGROUND

Research on the quality scale of the healthcare supply chain is still limited. This study aimed to assess the information quality of the supply chain model with a focus on construct validity. Studies related to information quality measurement generally focus on measuring the dimensions of the completeness of medical records and consumer perspectives. We intended to assess the scale based on doctors needed as care coordinators on type 2 diabetes mellitus or the Non-Insulin-Dependent-Diabetes-Mellitus (NIDDM) program in primary healthcare.

METHODS

Sixty-four primary healthcare doctors with an age range of 24-51 years were involved in this research. The scale obtained was formed from the assessment of the point of view of a panel of experts through the content validity index (CVI). The exploratory factor analysis (EFA) method was used to explore the scale of information quality in the information supply chain model for the NIDDM chronic disease management program.

RESULT

The data analysis results indicated three main factors that affected the quality of the information supply chain model of NIDDM, namely accessibility, safety, and efficiency of information related to NIDDM. The results of the validity and reliability of the data showed that the scale used in this research was valid and reliable with a Cronbach alpha coefficient of 0.861.

CONCLUSION

The scale developed in this research could be used to explore the quality of the information supply chain of NIDDM management in primary healthcare. Each item on the scale could explain the variables according to their respective groups.

摘要

背景

医疗供应链质量量表的研究仍然有限。本研究旨在评估供应链模型的信息质量,重点关注结构效度。与信息质量测量相关的研究通常侧重于测量病历完整性和消费者视角等维度。我们打算基于初级医疗保健中2型糖尿病或非胰岛素依赖型糖尿病(NIDDM)项目中作为护理协调员的医生需求来评估该量表。

方法

64名年龄在24至51岁之间的初级医疗保健医生参与了本研究。所获得的量表是通过内容效度指数(CVI)从专家小组的观点评估中形成的。探索性因子分析(EFA)方法用于探索NIDDM慢性病管理项目信息供应链模型中的信息质量量表。

结果

数据分析结果表明,影响NIDDM信息供应链模型质量的三个主要因素,即与NIDDM相关信息的可及性、安全性和效率。数据的效度和信度结果表明,本研究中使用的量表是有效且可靠的,克朗巴哈α系数为0.861。

结论

本研究开发的量表可用于探索初级医疗保健中NIDDM管理信息供应链的质量。量表上的每个项目都可以根据各自的组别解释变量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/562c/10176562/34ebd75f6c62/10.1177_22799036231170843-fig1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验