Factors Predicting Coronavirus Disease 2019 Prevention Practices among Patients Receiving Services at the Respiratory Infection Clinic, a Community Hospital
Jeeraporn Pooreeya
Keywords:
Factors Predicting, Coronavirus Disease 2019 Prevention, Patients the Respiratory Infection Clinic, Health Beliefs model, Infection preventionAbstract
This predictive research aimed to study the predictive factors of COVID-19 prevention practices among patients attending infectious disease clinics respiratory system in a community hospital. The data was conducted from March 2021 to March 2022. The sample (n = 347) were the patients who received services at a respiratory infectious disease clinic in a community hospital in the southern region using purposive sampling. Research instruments included the Health Belief Questionnaire for COVID-19 and the COVID-19 Prevention Behavior Questionnaire 2019. Both instruments were tested the content validity by 6 experts and the content validity index of the instruments were 0.97, and 0.82, respectively. In internal consistency of both instruments were 0.75, and 0.72, respectively. Data were analyzed by descriptive statistics and stepwise multiple regression analysis.
The results showed that the COVID-19 prevention behavior was at a high level ( ± S.D. = 102.00 ± 4.93). The perceived risks, the perceived severity of the disease, the perceived benefits of the treatment and prevention, the perceived barriers, and cue to practice action were all at a high level with a mean score and standard deviation of 19.11 (S.D. ± 1.87), 44.93 (S.D. ± 3.65), 22.36 (S.D. ± 1.94), 14.88. (S.D. ± 2.17), 44.37 (S.D. ± 3.35), respectively. The perceived benefits of the treatment and prevention (ß = .92, p. < 0.05) and the perceived severity of the disease (ß = .36, p. < 0.05) were only the factors that could predict the COVID-19 prevention behavior and could explain 52.5 %
(P< 0.05, R2 = .525) of variation of the prevention behavior.
The most important one which can lead to improving the COVID - 19 prevention practices among patients attending infectious disease clinics respiratory system in a community hospital.
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