ความครบถ้วนและความถูกต้องของชุดข้อมูลมาตรฐาน 52 แฟ้ม เพื่อใช้เป็นแหล่งข้อมูลสำหรับตัวชี้วัดการดูแลสุขภาพแบบมุ่งเน้นคุณค่าในกลุ่มโรคเบาหวาน

Suwapat Vichanuwat; Jiruth Sriratanaban

Authors

Suwapat Vichanuwat Master of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University
Jiruth Sriratanaban Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University

Keywords:

indicator of diabetes, 52-file standard datasets, completeness and accuracy

Abstract

The development of integrated information system (registration and utilization information system as a repository for common use) for health should be based on the conceptual framework of value-based healthcare (VBH). The proper structural measures compatible with patient database along with the completeness and accuracy of the database are the focus of the present study to monitor and evaluate the VBH.

The study of diabetes based on the 52-file standard datasets expected to see a high number of Thai people with diabetes that caused high costs and disease burden. The present study employed mixed methodologies to study the appropriate indicator structures in relation to the patient databases. The quantitative data from October 2017 to September 2018 from the primary care units in Lopburi (A) and Phetchabun (B) were analyzed. The results showed that A had 170 patients with 24.1-97.1% data completeness and 92.3-100% data accuracy; while B had 8,836 patients with 0-81.4% data completeness and 67.9-100% data accuracy. The qualitative research based on interviews with 10 relevant workers in the PCUs led to similar conclusion that duplicate data and wrong data formats were common data errors and affected the monitoring of quality of the full range of services. The development of the continuity of care and outcome reporting system would help improve the completeness and accuracy of health information.

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