Predictors of discharge against medical advice: A Retrospective study in Hospital Pakar Sultanah Fatimah

Introduction Patients discharge against medical advice (DAMA) are a vulnerable patient population and suffer increased morbidity and mortality, healthcare costs, and rates of readmission. Objective This study aims to evaluate the demographic, clinical characteristics, factor influencing and reason of DAMA in HPSF. Methodology A retrospective cross-sectional study. Patient DAMA data record in HPSF, (Medical, Surgical, Obstetrics & Gynea department) were collected from January to December 2019, by the nursing administration. SPSS version 22 was used to describe the study outcome. Results and Discussion In our study, department, male gender, adult ages, race, counselling of the patient DAMA health condition and consent were significant predictors for DAMA. The three highest predictor of clinical diagnosis (ICD10) characteristics, are circulatory was 136 (25.3%), infection was 135(25.1%) and respiratory was 53(9.9%). Category admission of DAMA, it's from non-trauma was(58%) and trauma patients was (42%). The highest influencing factors and reasons related serviced provided are to obtain treatment /expertise at another hospital was140(26%), to get alternative treatment and uncomfortable environment was 44(8.2%) and to continue the treatment hospital at near home was 44(8.2%). There was a little an association between department and services provided of patients leaving DAMA in HPSF, r = 0.170, P < .001 is significant. The healthcare management can build strategies to assist patients to receive optimal medical care and prevent unfavourable outcome. Conclusion DAMA is considered to be a significant problem in hospitalization. Disclaimer: Abstract text might vary slightly from what is displayed in the e-poster.This poster was submitted to the 14th National Conference for Clinical Research (NCCR) in August 18-20, 2021. https://nccrconference.com.my