Cargando…
Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors
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-con...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118186/ https://www.ncbi.nlm.nih.gov/pubmed/37079548 http://dx.doi.org/10.1371/journal.pone.0284705 |
_version_ | 1785028755285082112 |
---|---|
author | Hasan, Syeda Humaida Das, Jagadish Chandra Nahar, Kamrun Chowdhury, Muhammad Jabed Bin Amin Zahur, Tamanna Faisal, Mohammad Abu Choudhury, Zabeen Chowdhury, Dhiman |
author_facet | Hasan, Syeda Humaida Das, Jagadish Chandra Nahar, Kamrun Chowdhury, Muhammad Jabed Bin Amin Zahur, Tamanna Faisal, Mohammad Abu Choudhury, Zabeen Chowdhury, Dhiman |
author_sort | Hasan, Syeda Humaida |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10118186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101181862023-04-21 Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors Hasan, Syeda Humaida Das, Jagadish Chandra Nahar, Kamrun Chowdhury, Muhammad Jabed Bin Amin Zahur, Tamanna Faisal, Mohammad Abu Choudhury, Zabeen Chowdhury, Dhiman PLoS One Research Article 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. Public Library of Science 2023-04-20 /pmc/articles/PMC10118186/ /pubmed/37079548 http://dx.doi.org/10.1371/journal.pone.0284705 Text en © 2023 Hasan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hasan, Syeda Humaida Das, Jagadish Chandra Nahar, Kamrun Chowdhury, Muhammad Jabed Bin Amin Zahur, Tamanna Faisal, Mohammad Abu Choudhury, Zabeen Chowdhury, Dhiman Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors |
title | Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors |
title_full | Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors |
title_fullStr | Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors |
title_full_unstemmed | Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors |
title_short | Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors |
title_sort | discharge against medical advice in special care newborn unit in chattogram, bangladesh: prevalence, causes and predictors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118186/ https://www.ncbi.nlm.nih.gov/pubmed/37079548 http://dx.doi.org/10.1371/journal.pone.0284705 |
work_keys_str_mv | AT hasansyedahumaida dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors AT dasjagadishchandra dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors AT naharkamrun dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors AT chowdhurymuhammadjabedbinamin dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors AT zahurtamanna dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors AT faisalmohammadabu dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors AT choudhuryzabeen dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors AT chowdhurydhiman dischargeagainstmedicaladviceinspecialcarenewbornunitinchattogrambangladeshprevalencecausesandpredictors |