AI Article Synopsis

  • The study focuses on the prevalence and characteristics of discharge against medical advice (DAMA) in neonates in a specific hospital in Bangladesh from July to December 2017.
  • A total of 6167 neonates were admitted, with 1588 experiencing DAMA, predominantly male and term infants, highlighting significant factors like inadequate facilities and financial issues as causes.
  • Key predictors identified include preterm gestation, vaginal delivery, and timing of discharge, with certain medical conditions like sepsis increasing the likelihood of DAMA.

Article Abstract

Introduction: Discharge against medical advice (DAMA) is an unexpected event for patients and healthcare personnel. The study aimed to assess the prevalence of DAMA in neonates along with characteristics of neonates who got DAMA and, causes and predictors of DAMA.

Methods And Findings: This case-control study was carried out in Special Care Newborn Unit (SCANU) at Chittagong Medical College Hospital from July 2017 to December 2017. Clinical and demographic characteristics of neonates with DAMA were compared with that of discharged neonates. The causes of DAMA were identified by a semi-structured questionnaire. Predictors of DAMA were determined using a logistic regression model with a 95% confidence interval. A total of 6167 neonates were admitted and 1588 got DAMA. Most of the DAMA neonates were male (61.3%), term (74.7%), outborn (69.8%), delivered vaginally (65.7%), and had standard weight at admission (54.3%). A significant relationship (p < 0.001) was found between the variables of residence, place of delivery, mode of delivery, gestational age, weight at admission, and day and time of outcome with the type of discharge. False perceptions of wellbeing (28.7%), inadequate facilities for mothers (14.5%), and financial problems (14.1%) were the prevalent causes behind DAMA. Predictors of DAMA were preterm gestation (AOR 1.3, 95% CI 1.07-1.7, p = 0.013), vaginal delivery (AOR 1.56, 95% CI 1.31-1.86, p < 0.001), timing of outcome after office hours (AOR 477.15, 95% CI 236-964.6, p < 0.001), and weekends (AOR 2.55, 95% CI 2.06-3.17, p < 0.001). Neonates suffering from sepsis (AOR 1.4, 95% CI 1.1-1.7, p< 0.001), Respiratory Distress Syndrome (AOR 3.1, 95% CI 1.9-5.2, p< 0.001), prematurity without other complications (AOR 2.1, 95% CI 1.45-3.1, p < 0.001) or who were referred from north-western districts (AOR 1.48, 95% CI 1.13-1.95, p = 0.004) had higher odds for DAMA.

Conclusions: Identification of predictors and reasons behind DAMA may provide opportunities to improve the hospital environment and service related issues so that such vulnerable neonates can complete their treatment. We should ensure better communication with parents, provide provision for mothers' corner, especially for outborn neonates, maintain a standard ratio of neonates and healthcare providers, and adopt specific DAMA policy by the hospital authority.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118186PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284705PLOS

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