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Perioperative mental health intervention for depression and anxiety symptoms in older adults study protocol: design and methods for three linked randomised controlled trials

Por: Holzer · K. J. · Bartosiak · K. A. · Calfee · R. P. · Hammill · C. W. · Haroutounian · S. · Kozower · B. D. · Cordner · T. A. · Lenard · E. M. · Freedland · K. E. · Tellor Pennington · B. R. · Wolfe · R. C. · Miller · J. P. · Politi · M. C. · Zhang · Y. · Yingling · M. D. · Baumann
Introduction

Preoperative anxiety and depression symptoms among older surgical patients are associated with poor postoperative outcomes, yet evidence-based interventions for anxiety and depression have not been applied within this setting. We present a protocol for randomised controlled trials (RCTs) in three surgical cohorts: cardiac, oncological and orthopaedic, investigating whether a perioperative mental health intervention, with psychological and pharmacological components, reduces perioperative symptoms of depression and anxiety in older surgical patients.

Methods and analysis

Adults ≥60 years undergoing cardiac, orthopaedic or oncological surgery will be enrolled in one of three-linked type 1 hybrid effectiveness/implementation RCTs that will be conducted in tandem with similar methods. In each trial, 100 participants will be randomised to a remotely delivered perioperative behavioural treatment incorporating principles of behavioural activation, compassion and care coordination, and medication optimisation, or enhanced usual care with mental health-related resources for this population. The primary outcome is change in depression and anxiety symptoms assessed with the Patient Health Questionnaire-Anxiety Depression Scale from baseline to 3 months post surgery. Other outcomes include quality of life, delirium, length of stay, falls, rehospitalisation, pain and implementation outcomes, including study and intervention reach, acceptability, feasibility and appropriateness, and patient experience with the intervention.

Ethics and dissemination

The trials have received ethics approval from the Washington University School of Medicine Institutional Review Board. Informed consent is required for participation in the trials. The results will be submitted for publication in peer-reviewed journals, presented at clinical research conferences and disseminated via the Center for Perioperative Mental Health website.

Trial registration numbers

NCT05575128, NCT05685511, NCT05697835, pre-results.

Synthesising the evidence for effective hand hygiene in community settings: an integrated protocol for multiple related systematic reviews

Por: Caruso · B. A. · Snyder · J. S. · Cumming · O. · Esteves Mills · J. · Gordon · B. · Rogers · H. · Freeman · M. C. · Wolfe · M.
Introduction

Despite evidence for the efficacy and effectiveness of hand hygiene in reducing the transmission of infectious diseases, there are gaps in global normative guidance around hand hygiene in community settings. The goal of this review is to systematically retrieve and synthesise available evidence on hand hygiene in community settings across four areas: (1) effective hand hygiene; (2) minimum requirements; (3) behaviour change and (4) government measures.

Methods and analysis

This protocol entails a two-phased approach to identify relevant studies for multiple related systematic reviews. Phase 1 involves a broad search to capture all studies on hand hygiene in community settings. Databases, trial registries, expert consultations and hand searches of reference lists will be used to ensure an exhaustive search. A comprehensive, electronic search strategy will be used to identify studies indexed in PubMed, Web of Science, EMBASE, CINAHL, Global Health, Cochrane Library, Global Index Medicus, Scopus, PAIS Index, WHO IRIS, UN Digital Library and World Bank eLibrary published in English from January 1980 to March 2023. The outcome of phase 1 will be a reduced sample of studies from which further screening, specific to research questions across the four key areas can be performed. Two reviewers will independently assess each study for inclusion and disagreements will be resolved by a third reviewer. Quantitative and qualitative data will be extracted following best practices. We will assess all studies using the Mixed Method Appraisal Tool. All effect measures pertaining to review outcomes will be reported and a narrative synthesis of all studies will be presented including ‘data-driven’ descriptive themes and ‘theory-driven’ analytical themes as applicable.

Ethics and dissemination

This systematic review is exempt from ethics approval because the work is carried out on published documents. The findings of the reviews will be disseminated in related peer-reviewed journals.

PROSPERO registration number

CRD42023429145.

Developing and externally validating a machine learning risk prediction model for 30-day mortality after stroke using national stroke registers in the UK and Sweden

Por: Wang · W. · Otieno · J. A. · Eriksson · M. · Wolfe · C. D. · Curcin · V. · Bray · B. D.
Objectives

We aimed to develop and externally validate a generalisable risk prediction model for 30-day stroke mortality suitable for supporting quality improvement analytics in stroke care using large nationwide stroke registers in the UK and Sweden.

Design

Registry-based cohort study.

Setting

Stroke registries including the Sentinel Stroke National Audit Programme (SSNAP) in England, Wales and Northern Ireland (2013–2019) and the national Swedish stroke register (Riksstroke 2015–2020).

Participants and methods

Data from SSNAP were used for developing and temporally validating the model, and data from Riksstroke were used for external validation. Models were developed with the variables available in both registries using logistic regression (LR), LR with elastic net and interaction terms and eXtreme Gradient Boosting (XGBoost). Performances were evaluated with discrimination, calibration and decision curves.

Outcome measures

The primary outcome was all-cause 30-day in-hospital mortality after stroke.

Results

In total, 488 497 patients who had a stroke with 12.4% 30-day in-hospital mortality were used for developing and temporally validating the model in the UK. A total of 128 360 patients who had a stroke with 10.8% 30-day in-hospital mortality and 13.1% all mortality were used for external validation in Sweden. In the SSNAP temporal validation set, the final XGBoost model achieved the highest area under the receiver operating characteristic curve (AUC) (0.852 (95% CI 0.848 to 0.855)) and was well calibrated. The performances on the external validation in Riksstroke were as good and achieved AUC at 0.861 (95% CI 0.858 to 0.865) for in-hospital mortality. For Riksstroke, the models slightly overestimated the risk for in-hospital mortality, while they were better calibrated at the risk for all mortality.

Conclusion

The risk prediction model was accurate and externally validated using high quality registry data. This is potentially suitable to be deployed as part of quality improvement analytics in stroke care to enable the fair comparison of stroke mortality outcomes across hospitals and health systems across countries

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