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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.
Despite significant advances in managing acute stroke and reducing stroke mortality, preventing complications like post-stroke epilepsy (PSE) has seen limited progress. PSE research has been scattered worldwide with varying methodologies and data reporting. To address this, we established the International Post-stroke Epilepsy Research Consortium (IPSERC) to integrate global PSE research efforts. This protocol outlines an individual patient data meta-analysis (IPD-MA) to determine outcomes in patients with post-stroke seizures (PSS) and develop/validate PSE prediction models, comparing them with existing models. This protocol informs about creating the International Post-stroke Epilepsy Research Repository (IPSERR) to support future collaborative research.
We utilised a comprehensive search strategy and searched MEDLINE, Embase, PsycInfo, Cochrane, and Web of Science databases until 30 January 2023. We extracted observational studies of stroke patients aged ≥18 years, presenting early or late PSS with data on patient outcome measures, and conducted the risk of bias assessment. We did not apply any restriction based on the date or language of publication. We will invite these study authors and the IPSERC collaborators to contribute IPD to IPSERR. We will review the IPD lodged within IPSERR to identify patients who developed epileptic seizures and those who did not. We will merge the IPD files of individual data and standardise the variables where possible for consistency. We will conduct an IPD-MA to estimate the prognostic value of clinical characteristics in predicting PSE.
Ethics approval is not required for this study. The results will be published in peer-reviewed journals. This study will contribute to IPSERR, which will be available to researchers for future PSE research projects. It will also serve as a platform to anchor future clinical trials.
Background
Public health nurse home visiting is a promising approach for addressing the complex needs of families at risk of child maltreatment. The Colorado Nurse Support Program advances service provision by using evidence-based practices to provide tailored assessment and intervention to low-income, primiparous, and multiparous families with children under 18 years of age identified as high risk by county human service systems.
Objectives
This study aimed to test the effects of the Nurse Support Program on child protective services case characteristics between Nurse Support Program families and a demographically comparable reference group of families and evaluate changes in parenting outcomes from pre- to postprogram involvement for Nurse Support Program families.
Methods
We used a matched comparison group quasi-experimental design in which families in the Nurse Support Program (n = 48) were compared to families (n = 150) who were identified using administrative data from Colorado’s Comprehensive Child Welfare Information System. Outcomes were child protective case characteristics (child protection referrals, open assessments, founded assessments, open cases, and children’s placement in out-of-home care) and parenting outcomes.
Results
Nurse Support Program families were less likely to have a child protection case opened or have their child placed in out-of-home care. There were no significant between-group differences in child protection referrals, open assessments, or founded assessments. Families in the Nurse Support Program showed improvements in parenting outcomes over time.
Discussion
Findings suggest that the Nurse Support Program is a successful public health nurse home-visiting approach to promote positive parenting and family preservation among families with complex needs. Implementing tailored public health nurse home-visiting programs, such as the Nurse Support Program, should continue to be evaluated and supported to mitigate the public health risk of child maltreatment. 
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