ABSTRACT
Background Workplace violence in hospitals is an occupational hazard that affects healthcare workers (HCWs) negatively in many aspects and causes deterioration of the doctor-patient relationship, resulting in providence of substandard healthcare. This study was conducted to compare the pattern of violence in a tertiary care government teaching hospital and a multi-specialty private trust hospital in Sagar district, Madhya Pradesh, India. Methodology After ethical clearance of this cross-sectional, observational study, participants (frontline healthcare workers, including doctors and nurses) were asked about the type, frequency, department, and place of violence, etc., along with its perceived causes, solutions, and arrangements made by hospitals for dealing with it using a pretested, semi-structured questionnaire. Data analysis was performed using IBM SPSS Version 26.0 (IBM Corp., Armonk, NY). Categorical variables were described using frequency and percentages, and inferential analysis was conducted using the chi-square/Fisher's exact test. A P-value of <0.05 was considered statistically significant. Results Among the 113 participants, 67 (59.3%) were female, 53 (46.9%) were doctors, and 60 (53.1%) were nurses. The mean age of participants was 30.9±7.3 years. Predominantly verbal, emotional, and physical violence were present in 96.5%, 43.4%, and 6.2% of participants, respectively. Violent incidents against healthcare workers were more frequent in government hospitals as compared to private hospitals. Most healthcare workers (87.6%) tried to resolve violent incidents peacefully, and 1.8% tried to fight back. The most perceived cause of violence in both setups was a lack of morality and literacy among patients and their relatives (i.e., 83.2%), followed by a lack of proper facilities and a lack of trust in healthcare workers. Conclusion Both setups faced a substantial amount of violence. The loopholes in both setups, considering resources, security, and other facilities, are clearly visible, and specific steps must be adopted to protect both systems from violence.
ABSTRACT
Background In India, a significant number of newborns die each year, with Madhya Pradesh having the highest neonatal mortality rate. However, there is a lack of information on factors that can predict neonatal mortality. Objective This study aimed to examine the factors influencing neonatal mortality among neonates admitted to a tertiary care centre's special newborn care unit (SNCU). Methods This retrospective record-based observational study was done at a tertiary care centre, where data from the special newborn care unit (SNCU) from 1st January 2021 to 31st December 2021 was used. We included data of all newborns who were treated in SNCU during the said period and excluded those who got referred or left against medical advice. We abstracted data on age at admission, gender, category, maturity status, birth weight, place of delivery, mode of transport, type of admission, indication of admission, duration of stay and outcome. Qualitative variables were described using frequency and percentage. The chi-square test was used to find out the association of different variables with the outcome, while multivariate logistic regression was conducted to identify risk factors of neonatal mortality. A p-value of <0.05 was considered significant. Results We finalized data of 1052 neonates for analysis. Among them, 846 neonates were successfully discharged while 206 neonates were deceased. The major cause of admission was perinatal asphyxia followed by prematurity. The major cause of mortality in this study was sepsis followed by respiratory distress syndrome, birth asphyxia, and prematurity. Mortality of neonates was significantly associated with maturity status, birth weight, place of delivery, age during admission and duration of stay. Prematurity (OR=3.762, 95% CI:1.93-7.33), birth weight 1000-1499g (OR=4.78, 95% CI:2.21-10.32), birth weight <1000g (OR=25.11, 95% CI:5.71-110.24), age at admission <1-day (OR=2.312, 95% CI:1.03-5.19), duration of stay 1-3-days (OR=12.98, 95% CI:7.48-22.52) and <1-day (OR=1271.88, 95% CI:121.39-13325.69) were significant predictors of mortality in our study. Conclusion Our study emphasizes monitoring and addressing risk factors like maturity status, birth weight, and age at admission to reduce neonatal mortality, with a focus on early management of preterm births and low birth weight.
ABSTRACT
Background False-negative results derived from RT-PCR tests for diagnosing coronavirus disease (COVID-19) have raised questions about whether to consider them the gold standard for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Using an imperfect gold standard to assess other diagnostic tests would never let the other tests show better diagnostic performance. The best strategy in such cases is to do an agreement analysis, and this study aims to estimate the agreement between real-time reverse transcriptase-polymerase chain reaction (RT-PCR) and rapid antigen test (RAT) for COVID-19 detection. Methods A retrospective study was done using paired data of individuals tested for COVID-19, both by RT-PCR and RAT, obtained from the virology laboratory of Government Bundelkhand Medical College, Sagar, Madhya Pradesh, India. A sample size of 93 was calculated, and the data were abstracted in a data abstraction sheet. Variables included were results of RT-PCR and RAT, age, gender, presence of symptoms, test kit used, and the time duration between sampling for RT-PCR and RAT. Apart from descriptive statistics, keeping in mind the binary outcome of RT-PCR and RAT, Cohen's kappa was calculated for agreement analysis. A p-value of <0.05 was considered significant. Results The data on 100 participants suspected to be infected with COVID-19 (58 male and 42 female) with a mean age of 39.8 (±19.0) years were analysed. The number of discordant pairs was eight. Cohen's kappa showed substantial agreement between RT-PCR and RAT, κ=0.646, (95% CI 0.420 to 0.871), p<0.001. Conclusion Considering the ease of conducting RAT with quick results and substantial agreement with RT-PCR, RAT could be a better choice in detecting SARS-CoV-2 and, hence, COVID-19 disease on a large scale.