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Surveillance System Evaluation for PM2.5 Related Diseases in 8th Health Province of Thailand (Pilot Study in Nongkai and Nakorn Pranom Provinces)

สุทัศน์ โชตนะพันธ์; Suthat Chottanapund; เกวลี สุนทรมน; Kaewalee Soontornmon; ภัสราภรณ์ นาสา; Patsaraporn Nasa; ธัชริทธิ์ ใจผูก; Thachcharit Jaiphook; จริยา ดำรงศักดิ์; Chariya Damrongsak; จันจิรา ชินศรี; Chanjira Chinsri; พรรณวรท ภูเวียง; Phanwarot Phoweang; แสนสุข เจริญกุล; Sansuk Charoenkun;
Date: 2567-11
Abstract
Thailand is facing air pollution problems from PM2.5 exceeding standard levels every year in Health Region 8 (particularly in Nakhon Phanom and Nongkai provinces), which has been significantly affected. This study aimed to evaluate the PM2 . 5 surveillance system in Nakhon Phanom and Nongkai provinces both qualitatively and quantitatively to develop policies and operational guidelines and to serve as a case study for Health Region 8. This research employed a mixed-method approach by conducting in-depth interviews with public health officials and stakeholders and reviewing medical records of patients suspected of PM2.5 -related diseases at 2 provinces between October 1, 2020, and March 31, 2023. The qualitative results found that the surveillance system has high acceptance due to public concern over air pollution. The system is appropriately simple and flexible, but unclear diagnostic criteria for PM2.5 - related diseases affect data analysis and accuracy. Nakhon Phanom province, the quantitative results showed that out of 485 medical records meeting the ICD-10 criteria, 4 4 2 matched the reporting definitions, and 3 5 5 matched the disease definitions. The system has high coverage (90.70%) but a moderate positive predictive value (76.30 % ) . No clear correlation was found between PM2.5 levels and the number of patients, possibly due to other factors affecting respiratory diseases. Nongkai province, a review of 345 medical records was conducted, with 182 records meeting the definition of a patient. The sensitivity was 100%, and the positive predictive value (PPV) was 53.08%. The data completeness for age, gender, and nationality was 100%, while ICD-10 code completeness was 98.84%. The accuracy of the data for age, gender, nationality, and ICD-10 codes was 97.97%, 92.46%, 98.26%, and 94.78%, respectively. Additionally, the data for age, gender, and service date were representative. In conclusion, the PM2.5 surveillance system in both provinces operate at a satisfactory level with high coverage and data accuracy. However, the diagnostic criteria related to PM2.5 should be improved. These enhancements can increase the system's potential and improve public health outcomes.
Copyright ผลงานวิชาการเหล่านี้เป็นลิขสิทธิ์ของสถาบันวิจัยระบบสาธารณสุข หากมีการนำไปใช้อ้างอิง โปรดอ้างถึงสถาบันวิจัยระบบสาธารณสุข ในฐานะเจ้าของลิขสิทธิ์ตามพระราชบัญญัติสงวนลิขสิทธิ์สำหรับการนำงานวิจัยไปใช้ประโยชน์ในเชิงพาณิชย์
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