RESUMO
Objective@#To investigate the factors affecting human papillomavirus (HPV) vaccination behaviors among gynecological outpatients based on extended unified theory of acceptance and use of technology (UTAUT2), so as to provide insights into the development of HPV vaccination behavioral interventions.@*Methods@# Patients at ages of 45 years and younger that were admitted to the outpatient department of gynecological of Shanxi Provincial People's Hospital from October 2021 to August 2022 were recruited, and the factors affecting HPV vaccination behaviors were identified using UTAUT2.@*Results@#A total of 431 female outpatients were enrolled, including 163 patients at ages of 36 to 45 years (37.82%), 272 cases with an educational level of college degree and above (63.11%) and 253 patients with per capita monthly household income of more than 3 000 Yuan (58.70%). The coverage of HPV vaccination was 24.36%, and the main cause of non-vaccination was difficulty in high-valent HPV vaccine appointment. Price value, social impact and efficacy expectation posed a positive impact on HPV vaccination behaviors via intention of vaccination (β=0.11, 0.08, 0.07, all P<0.05) and intention of vaccination and effort expectancy (β=0.10, 0.07, 0.06, all P<0.05), and effort expectancy played a mediating effect between intention of vaccination and vaccination behaviors (β=0.28, P<0.05).@*Conclusion@#Efficacy expectation, social impact, price value, intention of vaccination and effort expectancy may positively affect HPV vaccination behaviors.
RESUMO
Objective@#To establish an autoregressive moving average model for the prediction of tuberculosis cases in students of Shanxi Province, and to provide scientific basic for the prevention and treatment of pulmonary tuerculosis among students.@*Methods@#A optimized ARIMA model was set up based on reported monthly data of TB in students from January 2010 to September 2019 in Shanxi Province by SAS 9.3 software, and the incidence trend in the next two years was predicted.@*Results@#The average reported rate of active TB in students of Shanxi Province was 23.52 per 100 000 from 2010 to 2019,showing an overall downward trend(χ2=999 980.46，P<0.01). The optimal model was SARIMA(0，1，1)(0，1，1)12,SBC=982.16. The fitted equation was (1-0.63B) (1-B12)Yt=(1-0.61B12)εt. The mean relative error was 19.35%,and the predicted incidence trend was consistent with the previous years,and the peak was from March to May.@*Conclusion@#Substantial progress has been made in student TB prevention of Shanxi Province. The ARIMA product season model is suitable for forecasting the TB incidence in students,so as to provide scientific guidance for its early prevention and control.