Factors Influencing Sepsis Prevention among Community-Dwelling Elderly
Keywords:
preventive behavior, awareness, sepsis, elderly, communityAbstract
This descriptive research aimed to study the behavior of preventing bloodstream infection in the elderly in the community and the factors that influence the behavior of preventing bloodstream infection. The sample group in this research was 220 men and women aged 60 years and over in Don Tan District, Mukdahan Province. They were selected by simple random sampling. The research instrument consisted of 4 parts: 1) Brain state test, 2) Personal data, 3) Health belief pattern, and 4) Preventive behavior. Data were analyzed by finding the frequency distribution, mean, percentage, standard deviation, Kyle square, and stepwise multiple regression statistics.
The results of the study had the highest level of perception of barriers ( = 17.51, SD 2.84). The results of the study found that all 5 factors influencing the behavior of preventing sepsis among the elderly in the community had a statistically significant relationship (p < 0.001). When considering each factor, it was found that the perception of self-efficacy in disease prevention (R = 0.487, R² = 0.237) and the perception of disease severity (R = 0.486, R² = 0.236) had the highest relationship. Age and knowledge acquisition had a statistically significant relationship with preventive behavior. Age had a positive relationship (r = 0.156, p = 0.007) and knowledge acquisition resulted in better preventive behavior (t = 3.542, p < 0.001). while other factors included gender, educational level, income, and having congenital disease. Statistically not significant. Therefore, in planning to promote health and prevent bloodstream infections in the elderly, health infection patterns should be taken into consideration.
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References
Kamsunan K. Statistics of patients with bloodstream infection (service profile). Emergency and Forensic Medicine Department, Don Tan Hospital. 2023.
John E, Bennett RD, Martin J. Blaser,. Mandell, Douglas, and Bennett’s principles and practice of infectious diseases. 8 ed. Philadelphia: Elsevier saunders; 2015.
Amphon K, Bunyoprakarn C, & Sinkincharoen P. The Outcomes of the Development of the Patients with Septicemia, Prapokklao Hospital. The Journal Of Prapokklao Hospital clinical Medical Education Center. 2017;34(3):222-36. (in Thai)
Division of Strategy and Planning, Office of the Permanent Secretary, Ministry of Public Health. Summary of the 2023 Illness Report. Nonthaburi;2023. (in Thai)
Department of Disease Control, Ministry of Public Health. Social situation report of Mukdahan Province. Mukdahan;2023. (inThai)
Chareonphon T, Rujaravej S & Aphisarnthanarak A.Emergencies in medicine. Pathum Thani: Bangkok Medical Journal. 2011;1(1):68-70. (in Thai)
Chairatana P, & Tudsapornpitakkul S. The Effectiveness of Nursing Care Model for Sepsis Patients. Journal of Nursing and Health Care. 2017;35(3):24-31. (in Thai)
Carod-Artal FJ, & Egido JA. Quality of life after stroke: the importance of a good recovery. Cerebrovasc Dis. 2009;27 Suppl 1:204-14.
Becker MH. Theoretical models of adherence and strategies for improving adherence. The handbook of health behavior change. New York, NY, US: Springer Publishing Company; 1990.
Didegah F, & Thelwall M. Determinants of research citation impact in nanoscience and nanotechnology. Journal of the American Society for Information Science and Technology. 2013;64(5):1055-64.
Meenongwah J, Promwong W, Thammathorn Siriwat Siriwatthano S, Suphot Tabaselo P, & Kosonwiharakol P. Health Belief Model and Disease Prevention Behaviors on Coronavirus Disease (COVID-19) Among Monks in Ubon Ratchathani Province. Journal of MCU Ubon Review. 2022;7(1):817-32. (in Thai)
World Health Organization. World health statistics 2020: monitoring health for the SDGs, sustainable development goals. Geneva: WHO; 2020.
Department of Disease Control, Ministry of Public Health. Annual Report 2020. Management System Development Group, Department of Disease Control, Ministry of Public Health; 2020. (in Thai)
Drauden G M, & Peterson N G. A domain sampling approach to job analysis. Test Validation Center. St. Paul, Minn. 1974
Lawshe CH. Statistical Theory and Practice in Applied Psychology. Personnel Psychology. 1969;22(2):117-24.
Duangkhae T. The relationship between health belief patterns and behavior to prevent disease transmission among household members of tuberculosis patients. (dissertation). Nakhon Pathom: Mahidol University; 2018. (in Thai)
Connelly EM. Impact of Human Performance on System Performance. Proceedings of the Human Factors Society Annual Meeting. 1987;31(6):240-37.
Maiman LA, & Becker MH. The Health Belief Model: Origins and Correlates in Psychological Theory. Health Education Monographs. 1974;2(4):336-53.
House J S. Work Stress and Social Support. Reading, Mass: Addison-Wesley.1981.
Watcharanurak P, & Klubklay A. Factors Influencing Preventive Behavior among Stoke-Risk Patients in Songkhla Province. The Southern College Network Journal of Nursing and Public Health. 2017;4(1):217-33. (in Thai)
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