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Causal mapping of psychological and occupational risk factors for suicidal ideation in psychiatric nurses using Bayesian networks: A multicenter cross-sectional study

by Min Wang, Yushun Yan, Wanqiu Yang, Ruini He, Lingdan Zhao, Yikai Dou, Yuanmei Tao, Xiao Yang, Qingqing Xiang, Xiaohong Ma

Psychiatric nurses represent a high-stress occupational group that experiences elevated levels of suicidal ideation (SI), emphasizing the need for focused mental health interventions. The main purpose of this study was to examine the prevalence of SI among psychiatric nurses and to identify the psychological and occupational factors associated with SI. A total of 1,835 psychiatric nurses completed questionnaires on depressive symptoms (PHQ-9), SI, quality of work-related life (QWL), and burnout. Multivariate logistic regression and phenotypic network analyses were conducted to identify factors associated with SI and the potential pathways linking depressive symptoms, burnout, and QWL to SI. The results indicated that 11.33% of the participants had SI in the past two weeks. Multivariate logistic regression revealed that emotional exhaustion, depersonalization, personal accomplishment, stress at work, general well-being, and the home-work interface were significant predictors of SI. Network analysis further revealed that psychomotor changes, guilt, sad mood, low energy, and appetite changes were the symptoms most directly associated with SI. In addition, sad mood, general well-being, and work-home interface were linked to job and career satisfaction, whereas sad mood and low energy were associated with emotional exhaustion and SI. These findings contribute valuable large-scale evidence on the mental health challenges faced by psychiatric nurses and highlight the importance of addressing mood disturbances, energy loss, and work-related stress in SI prevention efforts for this vulnerable group.

Exploring ethnic minority and underserved groups experiences of the National Health Service Cardiovascular Disease Health Check uptake in North East England: applying a behavioural insights, qualitative approach

Por: Brady · S. M. · Chidanyika · J. · Verrill · K. · Portice · J. S. · Scott · S. · Newton · J.
Background

The North East of England has the lowest healthy life expectancy and the highest health inequalities of any region in England. The conventional model, whereby we ‘expect’ individuals to be motivated to attend a ‘healthcare setting’ to undergo cardiovascular disease (CVD) health checks every 5 years has low levels of uptake, with populations most at risk frequently failing to engage.

Objectives

The objective of this study was to gather behavioural insights into the barriers/challenges that limit engagement with the current NHS CVD Health Checks.

Methods: design, setting, participants and outcomes

Drawing on a Behavioural Insight approach, 7 qualitative focus groups with members of ethnic minorities and underserved groups (n=45 participants) were conducted to understand barriers and challenges to uptake of NHS CVD Health Checks in one region in North East England (Middlesbrough). Data were analysed using a Behavioural Insights approach, applied to establish key themes, barriers and enablers.

Results

Our findings identified that underserved communities in North East England find engaging with NHS CVD Health Checks challenging due to issues related to access, understanding and attitudes. Communities identified that harnessing relationships with existing community champions would raise awareness and confidence in engaging. Making services accessible where communities gathered, while also increasing understanding and knowledge, was also recognised as key to engagement.

Conclusions

Our study suggested that despite there being substantial barriers to engagement with NHS CVD Health Checks, novel methods encouraging uptake may be effective to address the significant health inequalities seen in deprived communities. Ensuring a co-developed and co-delivered approach to CVD risk reduction with underserved communities, together with social marketing campaigns to raise awareness about the importance of CVD, and why reducing its risk is so important, is key to success.

Timely post-discharge medication reviews to Improve Continuity--the Transitions Of Care stewardship (TIC TOC) study in rural and regional Australia: a parallel-group randomised controlled trial study protocol

Por: Penm · J. · Yeung · K. · Moles · R. J. · Criddle · D. · Elliott · R. A. · Rigby · D. · Shakib · S. · Sanfilippo · F. M. · Carter · S. R. · Budgeon · C. · Nguyen · K. · Yates · P. · Phillips · K. · Yik · J. · McMillan · F. · Hawthorne · D. · Fleming · C. · Packer · A. · Krogh · L. · Poon · S.
Introduction

Transition of care from hospital is a period when the risks of medication errors and adverse events are high, with 50% of adults discharged having at least one medication-related problem. Pharmacist-led medication reviews can reduce medication errors and unplanned readmission when completed promptly post-discharge; however, they are underutilised. A Transition of Care Stewardship pharmacist has been proposed to facilitate and coordinate a patient’s discharge process and facilitate a timely post-discharge medication review. Access to pharmacist medication review in rural and regional areas can be limited. This protocol describes a randomised controlled trial (RCT) to determine whether a virtual Transition of Care Stewardship pharmacist reduces medication-related harm in rural and regional Australia.

Method and analysis

Multicentre RCT involving patients at high risk of medication-related harm discharged from regional and rural hospitals to a domiciliary residence. Eligible patients must be aged≥18 years, admitted under a medical specialty, be discharged to a domiciliary setting, have a regular general practitioner (GP) or be willing to visit a GP or an Aboriginal Medical Service after discharge for medical follow-up, have a Medicare card and be at high risk of readmission. High risk of readmission is defined as either a previous admission to the hospital or Emergency Department (ED) presentation in the past 6 months AND≥three regular medications OR on at least ONE high-risk medication. A total of 922 participants will be recruited into the study. Enrolled participants will be randomised to the intervention or control (usual care). The intervention will include a virtual Transition Of Care Stewardship pharmacist to ensure that patients receive discharge medication reconciliation, medication counselling, medication list and communicate directly with primary care providers to facilitate a timely post-discharge medication review. Usual care will include informing the patient’s clinical inpatient treating team that the patient is at high risk of medication misadventure and may benefit from a post-discharge Home Medicines Review (a GP-referred pharmacist medication review funded by the Australian Government).

Data analysis will be performed on a modified intent-to-treat basis. The primary outcome assessed is a composite of a first unplanned medication-related hospitalisation or ED presentation within 30 days of hospital discharge. Comparisons between the intervention and usual care groups for the primary outcome will be made using a mixed-effects logistic regression model, adjusting for site-level clustering as a random effect.

Ethics and dissemination

This study is approved to be conducted at the Western New South Wales Local Health District via the Research Ethics and Governance Information System (approval number: 2023/ETH00978). To ensure the needs of Aboriginal and Torres Strait Islander patients are appropriately addressed, ethics for this study were submitted and approved by the Aboriginal Health and Medical Research Council (approval number: 2148/23). Manuscripts resulting from this trial will be submitted to peer-reviewed journals. Results may also be disseminated at scientific conferences and meetings with key stakeholders.

Trial registration number

ACTRN12623000727640.

A time‐motion study on impact of spatial separation for empiric airborne precautions in emergency department length of stay

Abstract

Aims

To evaluate the impact of spatial separation on patient flow in the emergency department.

Design

This was a retrospective, time-and-motion analysis conducted from 15 to 22 August, 2022 at the emergency department of a tertiary hospital in Kuala Lumpur, Malaysia. During this duration, spatial separation was implemented in critical and semi-critical zones to separate patients with symptoms of respiratory infections into respiratory area, and patients without into non-respiratory area. This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

Methods

Patients triaged to critical and semi-critical zones were included in this study. Timestamps of patient processes in emergency department until patient departure were documented.

Results

The emergency department length-of-stay was longer in respiratory area compared to non-respiratory area; 527 min (381–698) versus 390 min (285–595) in critical zone and 477 min (312–739) versus 393 min (264–595) in semi-critical zone. In critical zone, time intervals of critical flow processes and compliance to hospital benchmarks were similar in both areas. More patients in respiratory area were managed within the arrival-to-contact ≤30 min benchmark and more patients in non-respiratory area had emergency department length-of-stay ≤8 h.

Conclusions

The implementation of spatial separation in infection control should address decision-to-departure delays to minimise emergency department length of stay.

Impact

The study evaluated the impact of spatial separation on patient flow in the emergency department. Emergency department length-of-stay was significantly prolonged in the respiratory area. Hospital administrators and policymakers can optimise infection control protocols measures in emergency departments, balancing infection control measures with efficient patient care delivery.

Reporting Method

STROBE guidelines.

No Patient or Public Contribution

None.

Trial and Protocol Registration

The study obtained ethics approval from the institution's Medical Ethics Committee (MREC ID NO: 20221113–11727).

Statistical Analysis

The author has checked and make sure our submission has conformed to the Journal's statistical guideline. There is a statistician on the author team (Noor Azhar).

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