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1.
Chinese Journal of School Health ; (12): 901-903, 2020.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-822537

ABSTRACT

Objective@#To understand the epidemiological characteristics of foodborne disease outbreaks in schools in Zhejiang province, and to provide evidence for effective prevention and control of foodborne disease outbreaks in schools.@*Methods@#A descriptive analysis was conducted on foodborne disease outbreaks in Zhejiang schools reported by the national foodborne disease outbreaks surveillance system from 2010 to 2019.@*Results@#During the past 10 years, a total of 86 foodborne disease outbreaks in schools were reported, with 1 755 illnesses, 240 hospitalizations, and no deaths. Pathogenic bacteria and their toxins were the main causes of foodborne disease outbreaks in schools, accounting for 83.0%(44/53) of all identified causes. The top four types of pathogenic bacteria were Staphylococcus aureus, Salmonella, diarrheagenic Escherichia coli, and Bacillus cereus. Meat products and mixed foods were the main foods that caused the outbreaks, each accounting for 16.3%(14/86) of total incidents. High school cafeterias were places with the highest incidence, accounting for 38.4%(33/86) of the total. School concession stands caused the largest number of hospitalizations, accounting for 37.1%(89/240) of the total. The peak month of foodborne disease outbreaks in schools was September, followed by June, May, and October. Crosscontamination and improper storage were the main causes of foodborne disease outbreaks in schools.@*Conclusion@#Bacterial foodborne disease is a major food safety issue in schools in Zhejiang Province. In summer and fall, school cafeterias and food stores should take effective measures to prevent bacterial foodborne disease outbreaks caused by cross-contamination and improper storage of high-risk foods such as meat products and cold-processed bakeries.

2.
Int J Qual Health Care ; 29(6): 861-866, 2017 Oct 01.
Article in English | MEDLINE | ID: mdl-29036295

ABSTRACT

OBJECTIVE: To describe psychotropic medications prescription patterns among adolescents in Taiwan; focusing on age, gender, duration of treatments and various classes of psychotropic medications. DESIGN: A retrospective description analysis. SETTING: Taiwan National Health Insurance Database. PARTICIPANTS: Twelve to seventeen years' patients treated with psychotropic medications. INTERVENTION: None. MAIN OUTCOME MEASURE(S): Percentage and duration of treatment with psychotropic medications during the study periods by medication classes and age groups were calculated. In addition, top three prescribed psychotropic medications were also determined. RESULTS: A total of 3,120 patients were prescribed psychotropic drugs. The percentage of adolescent patients that received anxiolytics and antidepressants in 2002-2012 were 2.89% and 2.15%, respectively. Also, 851 patients (1.21%) were prescribed hypnotics and 638 (0.91%) were given sedatives. The prevalence rate of the prescription of psychotropic drugs increased steadily with age and females were more treated than males except antipsychotic. Among psychotropic drugs, antidepressants (mean: 8.6 times) were refilled more but antipsychotics (mean 188 days) were the long-term treatment drugs. Additionally, the trend of hospital visits fluctuated over the year while May and December showed a higher rate of visits. CONCLUSIONS: These findings show that the prevalence of psychotropic drug prescriptions in Taiwanese adolescents is even low but increasing trends in the prescription of these medications raises some concern. As the evidence of psychotropic drug safety and effectiveness in adolescents is still inadequate; we recommend that healthcare providers should consider psychotropic drugs therapy, continuously monitor for outcomes and empower their patients to improve their knowledge, therapeutic outcomes and quality of life.


Subject(s)
Drug Prescriptions/statistics & numerical data , Practice Patterns, Physicians'/statistics & numerical data , Psychotropic Drugs/therapeutic use , Adolescent , Age Factors , Child , Cohort Studies , Female , Humans , Male , Retrospective Studies , Sex Factors , Taiwan , Time Factors
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