TIME TO RECOVERY AND ITS PREDICTORS AMONG ADMITTED ROAD TRAFFIC INJURY PATIENTS IN WACHEMO UNIVERSITY NIGEST ELINI MOHAMED MEMORIAL COMPREH ENSIVE SPECIALIZED HOSPITAL, HOSSANA, SOUTHERN ETHIOPIA

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dc.contributor.author Morkate Daniel linga
dc.contributor.author Dr. Tesfaye Gobeana
dc.contributor.author Dr. Lemessa Oljira
dc.date.accessioned 2023-10-26T08:00:48Z
dc.date.available 2023-10-26T08:00:48Z
dc.date.issued 2022
dc.identifier.uri http://ir.haramaya.edu.et//hru/handle/123456789/6473
dc.description 57p. en_US
dc.description.abstract Background: Recovery time of admitted road traffic injury patients is one of clinically and e conomically important variable for the hospitals and post-trauma life condition of the patients. It is part of a good indicator that shows how resources were being utilized and how was hospit al performance. But in Ethiopia, recovery time was not well known for admitted road traffic i njury patients since few researches were conducted on recovery time and its predictors among admitted road traffic injury patients. Objective: To determine time to recovery and its predictors among admitted road traffic injur y patients in Wachemo University Nigest Elini Mohamed Memorial Comprehensive Specializ ed Hospital, Hossana, southern Ethiopia, from January 01, 2020 to December 30,2021. Methods: A hospital-based retrospective cohort study was conducted. A total of 418 patient r ecords were selected through stratified random sampling method from both wards. Of which 4 06 Charts were reviewed by trained data collectors from March15-30, 2022 using pretested an d structured data retrieval form. Retrieved data were entered into Epi Data version 3.1; and ex ported to stata version 14.2 for further processing. Descriptive statistics were performed to su mmarize findings.A bivariate cox proportional hazard regression analysis was applied and can didate variables (P-value < 0.25) were entered into the multivariable cox proportional hazard r egression model. Lastly, adjusted hazard’s ratio and Confidence interval at 95% confidence le vel with a P value < 0.05 were used to declare fnding. Results: Patients recovered at mean time of 11.74 days. The median recovery time was 8days. Predictors of recovery time were Lower limb involvement, AHR=0.626(95% CI; 0.492-0.796 ), multiple organ injury, AHR=0.625(95% CI; 0.485-0.807), Treatment given before admissio n AHR=1.656(95% CI; 1.303-2.106), Complication developed AHR=0.558(95% CI; 0.405-0. 768), Comorbidity presence AHR=0.572(95% CI; 0.386-0.846) and delay for the surgery AH R=0.276(95% CI; 0.209-0.363). Conclusion: recovery time for admitted road traffic injury patients of this study is relatively h igh. The hospital should give emphasis on the predictors of recovery time among admitted roa d traffic injury patients to manage the problem en_US
dc.description.sponsorship Haramaya University en_US
dc.language.iso en en_US
dc.publisher Haramaya university en_US
dc.subject Time to recovery, predictors, Road traffic injury admissions, Wachemo Universit y Nigest Elini Mohamed Memorial Comprehensive Specialized Hospital en_US
dc.title TIME TO RECOVERY AND ITS PREDICTORS AMONG ADMITTED ROAD TRAFFIC INJURY PATIENTS IN WACHEMO UNIVERSITY NIGEST ELINI MOHAMED MEMORIAL COMPREH ENSIVE SPECIALIZED HOSPITAL, HOSSANA, SOUTHERN ETHIOPIA en_US
dc.type Thesis en_US


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