Conectar
There is a growing consensus to reduce the use of restrictive care practices in mental health settings to minimise the physical and psychological complications for patients. However, data regarding restrictive care practice use and factors contributing to variations in the proportion estimates has not previously been synthesised.
This study aimed to synthesise evidence on (1) the pooled proportions of physical restraint, seclusion or chemical restraint in adult mental health inpatients and (2) sources of variability in these proportion estimates.
Studies were identified from Scopus, MEDLINE, PsycINFO, Web of Science, Embase and CINAHL databases following the PRISMA 2020 guidelines. We conducted a meta-analysis of studies published in English language from 1 January 2010 to 15 August 2022. Binomial data were pooled using a random effect model, with 95% confidence intervals. Meta-regression was also computed to identify factors that may contribute to variations in the proportion estimates.
A total of 77 studies were included in this meta-analysis. The pooled prevalence of physical restraint, seclusion and chemical restraint was 14.4%, 15.8% and 25.7%, respectively. Data were heterogeneous across studies (I 2 > 99%). Reporting practices and geographical locations contributed to the variability in the reported estimates of restrictive care practices, with studies from Asian countries reporting higher proportions.
There appear differences between geographical locations in the proportion of restrictive practices in mental health inpatients; however, this is complicated by how these prevalence data have been measured and defined. Consistency in the reporting of restrictive care practices in mental health is required to make valid comparisons between geographical regions, policy settings and practice innovations.
Efforts are needed to develop training programmes and policy changes to ensure consistency in defining and reporting of restrictive care practices in mental health facilities.
This is a systematic review that analysed data from previously published studies, and there was no patient/public contribution in this study.
The protocol for this review has been registered to PROSPERO: CRD42022335167.
Respiratory distress syndrome is a catastrophic respiratory problem among low birth weight neonates. It increases the suffering of neonates and the economic expenditure of the countries. Notably, it is a major public health issue in low-income and middle-income countries such as Ethiopia. Despite this, studies regarding respiratory distress syndrome among low birth weight neonates were limited in Ethiopia.
To assess the incidence and predictors of respiratory distress syndrome among low birth weight neonates in the first 7 days in Northwest Ethiopia Comprehensive Specialized Hospitals.
Multicentred institution-based retrospective follow-up study was conducted from 19 September 2021 to 1 January 2023, among 423 low birthweight neonates. A simple random sampling technique was used. The data were collected using a data extraction checklist from the medical registry of neonates. The collected data were entered into EPI-DATA V.4.6.0.6. and analysed using STATA V.14. The Kaplan-Meier failure curve and log-rank test were employed. Bivariable and multivariable Weibull regression was carried out to identify predictors of respiratory distress syndrome. Statistical significance was declared at a p≤0.05.
The incidence rate of respiratory distress syndrome was found to be 10.78 (95% CI 9.35 to 12.42) per 100 neonate days. Fifth minute Appearance, Pulse, Grimace, Activity, Respiration (APGAR score)
The incidence of respiratory distress syndrome was higher than other studies conducted on other groups of neonates. Multiple pregnancy, fifth minute APGAR score, caesarean section, prematurity, extremely low birth weight and very low birth weight were predictors of respiratory distress syndrome. However, it needs further prospective study. Therefore, the concerned stakeholders should give due attention and appropriate intervention for these predictors.
FreshRSS 