ABSTRACT
Objective: During the COVID-19 outbreak, the medical sector services to the public were reportedly not appropriate. Due to the novelty of the disease, the patients were not aware of the right treatment and what health facilities were required. Method: The current research is designed to determine the relationship between prognosis markers and patient health behavior in treatment of COVID-19 patients in Turkey. The sample was identified through cluster sampling method. A smart PLS statistical tool was utilized for structural equation model findings. Result: The findings show that patient treatment performance can be improved with adequate treatment strategies, patient health behavior, prognosis markers and performance status. This research is significant by its nature because it adopted a novel research model which established new relationships between the variables of the study. Practically, this research deliberated the importance of prognosis markers, patient health behavior, adequate treatment strategies, and performance status on patient treatment performance. Conclusion: This research faced several limitations that are reported in the end with the future directions for scholars to contribute further to the knowledge of patients' treatment performance.
Subject(s)
COVID-19 , Humans , Turkey , Health Behavior , Forecasting , PrognosisABSTRACT
DESIGN: A before-after prospective surveillance study to assess the impact of a multidimensional infection control approach for the reduction of catheter-associated urinary tract infection (CAUTI) rates. SETTING: Pediatric intensive care units (PICUs) of hospital members of the International Nosocomial Infection Control Consortium (INICC) from 10 cities of the following 6 developing countries: Colombia, El Salvador, India, Mexico, Philippines, and Turkey. PATIENTS: PICU inpatients. METHODS: We performed a prospective active surveillance to determine rates of CAUTI among 3,877 patients hospitalized in 10 PICUs for a total of 27,345 bed-days. The study was divided into a baseline period (phase 1) and an intervention period (phase 2). In phase 1, surveillance was performed without the implementation of the multidimensional approach. In phase 2, we implemented a multidimensional infection control approach that included outcome surveillance, process surveillance, feedback on CAUTI rates, feedback on performance, education, and a bundle of preventive measures. The rates of CAUTI obtained in phase 1 were compared with the rates obtained in phase 2, after interventions were implemented. RESULTS: During the study period, we recorded 8,513 urinary catheter (UC) days, including 1,513 UC-days in phase 1 and 7,000 UC-days in phase 2. In phase 1, the CAUTI rate was 5.9 cases per 1,000 UC-days, and in phase 2, after implementing the multidimensional infection control approach for CAUTI prevention, the rate of CAUTI decreased to 2.6 cases per 1,000 UC-days (relative risk, 0.43 [95% confidence interval, 0.21-1.0]), indicating a rate reduction of 57%. CONCLUSIONS: Our findings demonstrated that implementing a multidimensional infection control approach is associated with a significant reduction in the CAUTI rate of PICUs in developing countries.
