Model of Control and Prevention for the spread of Multidrug Resistant Bacteria in The Priest Hospital
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Abstract
Abstract
This research and development study aimed to develop a model to control and prevention the spread of multidrug resistant in the Priest Hospital. The sample consisted of 48 sick monks with drug resistant infection and 40 professional nurses. This study composed of 3 phases: (1) situation analysis, (2) develop and test the model, and (3) study the results of using the model. The research instrument was SHIPE SMART Model. Data collecting tools consisted of (1) in-depth interview form, (2) focus group discussion form, (3) knowledge assessment questionnaire, (4) infection surveillance form, (5) skill assessment form, (6) nurse’s satisfaction questionnaire, and (7) the model’s outcome assessment form. Data were analyzed using frequency, percentage, mean, standard deviation, independent t-test and Incidence rate differences.
The results found that trend of idrug resistant infection situation in the Priest Hospital has increased from 1.21/1,000 bed days in 2019 to 2.75/1,000 bed days in 2021. The most common sites of infection were the urinary system followed by the respiratory system. The model for control and prevention the spread of drug-resistant in the Priest Hospital “SHIPE SMART Model,” consisted of 9 components: S: Single use, H: Hand hygiene, I: Isolation, P: Promotion, E=Environment, S: Supervision, M: MLAB (Application), A: Alert, R: Response, T: Team. The results of using the model revealed that the average knowledge score and skill of the nurses were statistically significant higher than before using the model (p < .01). The incidence of multidrug resistant was statistically significant lower than in 2021 (p < .01). The average nurses’ satisfaction score was statistically significant higher than before using the model (p < .05). Therefore, the “SHIPE SMART Model” can be used effectively in nursing practice.
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