An Evaluation of Food Poisoning Surveillance System in Song Hospital, Phrae Province, Thailand, 2017

Abstract

Background: Food poisoning is one of the diseases that must be reported in surveillance system. In 2015, there are 130,995 cases of food poisoning which is 200.22 per 100,000 populations, and there is 1 person died from its complication. In Song District, the food poisoning attack rates during 2014–2016 are 353.94, 368.99 and 419.83 per 100,000 populations without mortality. We evaluated and analyzed the surveillance system of food poisoning in Song Hospital with aim to improving the surveillance system in the hospital to be more efficient.
Methods: A cross-sectional descriptive study of the food poisoning surveillance system about reporting process, quantitative attributes, and qualitative attributes by reviewing data from disease surveillance report (Report 506) and medical records that had similar symptoms of the disease during 1 October 2016–30 September 2017.
Results: Food Poisoning surveillance system had sensitivity 74.59% and positive predictive value 98.10%. The data had proper representatives for the surveillance system. The accuracy of sex identification record, age identification record, and onset of the disease record were 100%, 100%, and 98.91% respectively. The timeliness within 72 hours of the surveillance system was 97.83%. Furthermore, the surveillance system was accepted, simple, uncomplicated, sustainable, flexible, and useful in all level that made disease control efficient.
Conclusion and discussion: Food Poisoning surveillance system in Song Hospital, Phrae Province had a effectively systematic reporting process related to disease prevention and control process. However, there should improve the sensitivity of the system for early detection and efficient disease control.