Factors Predicting COVID-19 Infection Surveillance Operations of Bangkok Public Health Volunteers
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Abstract
The purpose of this descriptive cross-sectional research was to identify the predictors of COVID-19 surveillance operations of Bangkok Public Health Volunteers (PHVs) by applying the conceptual framework of PRECEDE-PROCEED Model. Three hundred seventy-three Bangkok PHVs, aged 18 and over, were randomly selected using multistage random sampling. A rating scale was used for collecting data from 9-part self-administered questionnaires. The content validity index ranged from 0.93 to 1. The reliability of the questionnaires ranged between 0.72 and 0.92. Data were analyzed using Statistical Package for the Social Sciences including descriptive statistics, Pearson's product-moment correlation coefficient and stepwise multiple regression analysis, with the level of significance equal to .05.
The findings showed that 80.16% of COVID-19 surveillance operations of Bangkok PHVs were at a moderate level. The predicting factors of the COVID-19 surveillance operations of Bangkok PHVs included perceived self-efficacy, occupation, social support, materials and equipment accessibility, prevention policies, age, education, perceived susceptibility, and marital status. These predictors together explained 81.9% of the variance in COVID-19 surveillance operations. Recommendation from this study is that, public health volunteers who work in Bangkok should be periodically prepared in terms of knowledge and skills to enhance their self-confidence in infectious disease surveillance practices in case of future outbreaks. The awareness of policy, materials and equipment support, social support, and perceived self-efficacy should be increased for further effective surveillance operations among people with communicable diseases.
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References
World Health Organization (WHO). Coronavirus (COVID-19) dashboard measures in 2021. [Internet]. [cited 2023 February 1]. Available from: https://covid19.who.int/measure.
Department of Disease Control, MOPH. Guidelines for control and prevention of COVID-19 in urban settings using community volunteers. Bangkok: HE'S; 2022. (in Thai).
Department of disease control, MOPH. Update on COVID-19 in Thailand. [Internet]. [cited 2023 January 28]. Available from: https://ddc.moph.go.th/viralpneumonia/index.php.(in Thai).
Health Systems Research Institute. Basic knowledge of surveillance investigate, prevent, and control disease for Subdistrict Health Promoting Hospital. Nonthaburi: Sahamitr Printing & Publishing; 2012. (in Thai).
Department of Health. DOH Ddashboard. [Internet]. [cited 2024 January 25]. http://dashboard.anamai. moph.go.th/population/pop-all/changwat?year=2023&cw=10
Boonchailert P, Priyakorn P, Piyasakukiat O, Chareerak T. The role of community health volunteers in controlling and surveillance. Interdisplinary Social Sciences and Communication Journal 2022;5(4):71-80. (in Thai).
Green LW, Kreuter MW. Health program planning: an educational and ecological approach. 4th ed. NewYork: McGraw-hill; 2005.
Wongti S. Factors affecting preventive behavior for coronavirus disease 2019 among village health volunteers, Sukhothai province. [Master’s Thesis, Faculty of Nursing]. Naresuan University; 2021. (in Thai).
Linla N, Kamsa-ard S. Factors associated with coronavirus disease 2019 prevention practice of village health volunteer in Chumphae district, Khonkaen province. Journal of Community Public Health 2022;8(3):8-24. (in Thai).
Boonmatoon P, Phakdeekul W, Kedthongma W. Factors related of surveillance and prevention of coronavirus disease 2019 (COVID-19) of Village Health Volunteers (VHVS) in Thungfon district, Udon Thani province. Research and Development Health System Journal 2022;15(2):300-12. (in Thai).
Moonti J. Factors influencing preventive behavior of coronavirus disease 2019 among Village Health Volunteers in Kong Krailat district, Sukhothai province. The Office of Disease Prevention and Control 9th Nakhon Ratchasima Journal 2021;27(2):5-14. (in Thai)
Suwannasu S. Factors related practices in surveillance and prevention of COVID-19 among Village Health Volunteers in Sichon district of Nakhon Si Thammarat province. Journal of Health and Pedagogy 2022;2(3):81-98. (in Thai).
Thanormchayathawat B, Ratchatawan R, Junwin B. Factors influencing self - care prevention behaviors and society of coronavirus disease 2019 among Village Health Volunteer Performance (VHV) in Nakhon Si Thammarat province. Journal of Social Science and Buddhistic Anthropology 2021;6(12):360-75. (in Thai).
Katanyutanon T, Thongsiri T, Pichitchainarong A, Kingdokmai T, Thammakul S, Saenkamrang P, et al. Factors related to COVID-19 preventive behaviors among health science students of Huachiew Chalermprakiet University. Huachiew Chalermprakiet Science and Technology Journal 2021;7(1):8-20. (in Thai).
Naknun M, Toonsiri C. Factors related to COVID-19 control behaviors in the community among Village Health Volunteers in Chon Buri. The Journal of Faculty of Nursing Burapha University 2022; 30(4):26-30. (in Thai).
Aiamnui S. Factors influencing surveillance and prevention practices of COVID -19 among village health volunteers in Kongkrailat district, Sukhothai province. Thai Journal of Public Health and Health Education 2021;1(2):75-90. (in Thai).
Daniel WW. Biostatistic: A foundations for analysis in the health sciences. New York: John Wiley; 1995.
Aussawapunnarai M. The participation of public health volunteers in health care of the elderly in Ban Suan municipality muang district Chonburi province. [Master’s Thesis, Faculty of Nursing]. Burapha University; 2013. (in Thai)
Heangkul N, Yaebkai Y. Factors predicting urban area role performance among Village Health Volunteers in Sukhothai Province. Journal of Health Science 2020;29(2):314-22. (in Thai).