Evidence map›Paper›PMID 37079548›Full record

ArticlePloS one2023

Discharge against medical advice in Special Care Newborn Unit in Chattogram, Bangladesh: Prevalence, causes and predictors.

Syeda Humaida Hasan, Jagadish Chandra Das, Kamrun Nahar, Muhammad Jabed Bin Amin Chowdhury, Tamanna Zahur, Mohammad Abu Faisal, Zabeen Choudhury, Dhiman Chowdhury

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Syeda Humaida HasanDepartment of Neonatology, Chittagong Medical College, Chattogram, Bangladesh.ORCID 0000-0003-3818-5963
Jagadish Chandra DasDepartment of Neonatology, Chittagong Medical College, Chattogram, Bangladesh.
Kamrun NaharDepartment of Neonatology, Chittagong Medical College, Chattogram, Bangladesh.
Muhammad Jabed Bin Amin ChowdhuryDepartment of Neonatology, Chittagong Medical College, Chattogram, Bangladesh.
Tamanna ZahurDepartment of Public Health, Chittagong Medical College, Chattogram, Bangladesh.
Mohammad Abu FaisalDepartment of Gastroenterology, Cox's Bazar Medical College, Cox's Bazar, Bangladesh.
Zabeen ChoudhuryDepartment of Pediatrics, Chittagong Medical College, Chattogram, Bangladesh.
Dhiman ChowdhuryDepartment of Pediatrics, Chittagong Medical College, Chattogram, Bangladesh.
Chittagong Medical College · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDischarge 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

findingsThis 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.

conclusionsIdentification 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.

Indexed as

Intensive Care Units, NeonatalPatient DischargeTreatment RefusalBangladeshCase-Control StudiesFemaleHospitalizationHumansInfant, NewbornMalePrevalence

Identifiers

PMID37079548
PMCPMC10118186
OpenAlexW4366463212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.