SELF-CARE BEHAVIORS TO PREVENT COVID-19 INFECTION AMONG FOOD DELIVERY RIDERS IN THAILAND
DOI:
https://doi.org/10.37268/mjphm/vol.22/no.3/art.1759Keywords:
COVID-19, Food delivery, Self-care behaviors, PreventionAbstract
The COVID-19 pandemic plays a key role in people's behavior worldwide, especially, during the measures of locking down and social distancing, the demand for food delivery increased worldwide. To prevent the transmission of COVID-19, the food delivery riders require to have good self-care behaviors during working. Therefore, this research aims to assess the self-care behaviors to prevent COVID-19 among food delivery riders and determine the associations of demographic data of food delivery riders and self-care behaviors to prevent COVID-19. This research employed online cross-sectional research involving 440 food delivery riders in Bangkok from October to November 2020. The findings showed that most food delivery riders had a high level of self-care behaviors to prevent COVID-19 infection (M= 4.04, SD= 0.63). The factor associated with the self-care behaviors to prevent COVID-19 infection was educational level (p< 0.05). This research provides an understanding of the level and factors associated with self-care behaviors to prevent COVID-19 infection among food delivery riders. The healthcare providers, public health sectors, and food delivery companies are recommended to promote self-care behaviors among food delivery riders and necessary to have the effective health communication, health education or intervention to all food delivery riders by concerning about their educational background.
References
Zhu N, Zhang D, Wang W, et al. A Novel Coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine. 2020;382(8):727-733.
Li C, Mirosa M, Bremer P. Review of Online Food Delivery Platforms and their Impacts on Sustainability. Sustainability. 2020;12(14).
Posai V, Suksatan W, Choompunuch B, Koontalay A, Ounprasertsuk J, Sadang JM. Assessment of the Health-Promoting Behaviors of Hospitalized Patients with Non-Communicable Diseases During the Second Wave of COVID-19. J Multidiscip Healthc. 2021;14:2185-2194.
Dsouza D, Sharma D. Online food delivery portals during COVID-19 times: an analysis of changing consumer behavior and expectations. International Journal of Innovation Science. 2021;13(2):218-232.
Kasikorn Research Center. Food delivery businesses set to expand due to intensifying competition post-COVID-19; while big operators set sight on shaping their platforms into 'Super Applications' (Current Issue No.3128). https://www.kasikornresearch.com/th/analysis/k-econ/business/Pages/z3128-Food-Delivery.aspx. Published 2020. Accessed 30 May, 2022.
Puriwat W, Tripopsakul S. Understanding food delivery mobile application technology adoption: A utaut model integrating perceived fear of covid-19. Emerging Science Journal. 2021;5(Special Issue):94-104.
Metzl JM, Maybank A, De Maio F. Responding to the COVID-19 Pandemic: The Need for a Structurally Competent Health Care System. JAMA. 2020;324(3):231-232.
Sarnkhaowkhom C, Promkanya A, Pomisrikeaw S, Ritthapanya N. “Novice nurse and novel coronavirus”—experiences of novice nurses caring for patients diagnosed with COVID-19 in Thailand. Nursing Open. 2021.
Nguyen THD, Vu DC. Food Delivery Service During Social Distancing: Proactively Preventing or Potentially Spreading Coronavirus Disease–2019? Disaster Medicine and Public Health Preparedness. 2020;14(3):e9-e10.
Riegel B, Jaarsma T, Strömberg A. A middle-range theory of self-care of chronic illness. Advances in Nursing Science. 2012;35(3):194-204.
Faul F, Erdfelder E, Lang A-G, Buchner A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods. 2007;39(2):175-191.
Ali S, Khalid N, Javed HM, Islam DMZ. Consumer adoption of online food delivery ordering (OFDO) services in Pakistan: The impact of the COVID-19 pandemic situation. Journal of Open Innovation: Technology, Market, and Complexity. 2021;7(1).
Orem DE. A concept of self-care for the rehabilitation client. Rehabilitation Nursing Journal. 1985;10(3).
Choompunuch B, Suksatan W, Sonsroem J, Kutawan S, In-udom A. Stress, adversity quotient, and health behaviors of undergraduate students in a Thai university during COVID-19 outbreak. Belitung Nursing Journal. 2021;7(1):1-7.
Hwang J, Lee J-S, Kim H. Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management. 2019;81:94-103.
Koontalay A, Suksatan W, Prabsangob K, Sadang JM. Healthcare workers' burdens during the COVID-19 pandemic: A qualitative systematic review. J Multidiscip Healthc. 2021;14:3015-3025.
Leung GM, Lam TH, Ho LM, et al. The impact of community psychological responses on outbreak control for severe acute respiratory syndrome in Hong Kong. J Epidemiol Community Health. 2003;57(11):857-863.
Alodhayani A, Almutairi KM, Vinluan JM, et al. Association between self-care management practices and glycemic control of patients with type 2 diabetes mellitus in Saud Arabia: A cross –sectional study. Saudi Journal of Biological Sciences. 2021;28(4):2460-2465.
Hosseini A, Jackson AC, Chegini N, et al. The effect of an educational app on hemodialysis patients’ self-efficacy and self-care: A quasi-experimental longitudinal study. Chronic Illness. 2022:17423953211073365.
Zhang Z, Koirala B, Gong G, Bai X, Mao J, Davidson PM. Predictors of self-care among Chinese patients with chronic heart failure: A situation-specific theory-guided structural equation model analysis. Journal of Cardiovascular Nursing. 2022.
Zhong Y, Liu W, Lee T-Y, Zhao H, Ji J. Risk perception, knowledge, information sources and emotional states among COVID-19 patients in Wuhan, China. Nursing Outlook. 2021;69(1):13-21.
Lord H, Loveday C, Moxham L, Fernandez R. Effective communication is key to intensive care nurses’ willingness to provide nursing care amidst the COVID-19 pandemic. Intensive and Critical Care Nursing. 2021;62:102946.
Caday LT, Draculan KAE, Villapando KDC. A Risk Level Assessment of Food Delivery Riders for COVID-19. Proceedings of the International Conference on Industrial Engineering and Operations Management 2021; Monterrey, Mexico, November 3-5, 2021.
Mi J, Zhong W, Huang C, Zhang W, Tan L, Ding L. Gender, age and comorbidities as the main prognostic factors in patients with COVID-19 pneumonia. Am J Transl Res. 2020;12(10):6537-6548.
Asselta R, Paraboschi EM, Mantovani A, Duga S. ACE2 and TMPRSS2 variants and expression as candidates to sex and country differences in COVID-19 severity in Italy. Aging (Albany NY). 2020;12(11):10087-10098.
Widjaja G, Turki Jalil A, Sulaiman Rahman H, et al. Humoral immune mechanisms involved in protective and pathological immunity during COVID-19. Hum Immunol. 2021;82(10):733-745.
Cummings MJ, Baldwin MR, Abrams D, et al. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. Lancet. 2020;395(10239):1763-1770.
Vardavas CI, Nikitara K. COVID-19 and smoking: A systematic review of the evidence. Tob Induc Dis. 2020;18:20.
