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Development and application of simulation modelling for orthopaedic elective resource planning in England

Por: Harper · A. · Monks · T. · Wilson · R. · Redaniel · M. T. · Eyles · E. · Jones · T. · Penfold · C. · Elliott · A. · Keen · T. · Pitt · M. · Blom · A. · Whitehouse · M. R. · Judge · A.
Objectives

This study aimed to develop a simulation model to support orthopaedic elective capacity planning.

Methods

An open-source, generalisable discrete-event simulation was developed, including a web-based application. The model used anonymised patient records between 2016 and 2019 of elective orthopaedic procedures from a National Health Service (NHS) Trust in England. In this paper, it is used to investigate scenarios including resourcing (beds and theatres) and productivity (lengths of stay, delayed discharges and theatre activity) to support planning for meeting new NHS targets aimed at reducing elective orthopaedic surgical backlogs in a proposed ring-fenced orthopaedic surgical facility. The simulation is interactive and intended for use by health service planners and clinicians.

Results

A higher number of beds (65–70) than the proposed number (40 beds) will be required if lengths of stay and delayed discharge rates remain unchanged. Reducing lengths of stay in line with national benchmarks reduces bed utilisation to an estimated 60%, allowing for additional theatre activity such as weekend working. Further, reducing the proportion of patients with a delayed discharge by 75% reduces bed utilisation to below 40%, even with weekend working. A range of other scenarios can also be investigated directly by NHS planners using the interactive web app.

Conclusions

The simulation model is intended to support capacity planning of orthopaedic elective services by identifying a balance of capacity across theatres and beds and predicting the impact of productivity measures on capacity requirements. It is applicable beyond the study site and can be adapted for other specialties.

A novel, multidomain, primary care nurse-led and mHealth-assisted intervention for dementia risk reduction in middle-aged adults (HAPPI MIND): study protocol for a cluster randomised controlled trial

Por: Cross · A. J. · Geethadevi · G. M. · Magin · P. · Baker · A. L. · Bonevski · B. · Godbee · K. · Ward · S. A. · Mahal · A. · Versace · V. · Bell · J. S. · Mc Namara · K. · O'Reilly · S. L. · Thomas · D. · Manias · E. · Anstey · K. J. · Varnfield · M. · Jayasena · R. · Elliott · R. A. · Lee
Introduction

Middle-aged multidomain risk reduction interventions targeting modifiable risk factors for dementia may delay or prevent a third of dementia cases in later life. We describe the protocol of a cluster randomised controlled trial (cRCT), HAPPI MIND (Holistic Approach in Primary care for PreventIng Memory Impairment aNd Dementia). HAPPI MIND will evaluate the efficacy of a multidomain, nurse-led, mHealth supported intervention for assessing dementia risk and reducing associated risk factors in middle-aged adults in the Australian primary care setting.

Methods and analysis

General practice clinics (n≥26) across Victoria and New South Wales, Australia, will be recruited and randomised. Practice nurses will be trained to implement the HAPPI MIND intervention or a brief intervention. Patients of participating practices aged 45–65 years with ≥2 potential dementia risk factors will be identified and recruited (approximately 15 patients/clinic). Brief intervention participants receive a personalised report outlining their risk factors for dementia based on Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI) scores, education booklet and referral to their general practitioner as appropriate. HAPPI MIND participants receive the brief intervention as well as six individualised dementia risk reduction sessions with a nurse trained in motivational interviewing and principles of behaviour change, a personalised risk reduction action plan and access to the purpose-built HAPPI MIND smartphone app for risk factor self-management. Follow-up data collection will occur at 12, 24 and 36 months. Primary outcome is ANU-ADRI score change at 12 months from baseline. Secondary outcomes include change in cognition, quality of life and individual risk factors of dementia.

Ethics and dissemination

Project approved by Monash University Human Research Ethics Committee (ID: 28273). Results will be disseminated in peer-reviewed journals and at healthcare conferences. If effective in reducing dementia risk, the HAPPI MIND intervention could be integrated into primary care, scaled up nationally and sustained over time.

Trial registration number

ACTRN12621001168842.

Efficient assessment of brain fog and fatigue: Development of the Fatigue and Altered Cognition Scale (FACs)

by Timothy R. Elliott, Yu-Yu Hsiao, Kathleen Randolph, Randall J. Urban, Melinda Sheffield-Moore, Richard B. Pyles, Brent E. Masel, Tamara Wexler, Traver J. Wright

Debilitating symptoms of fatigue and accompanying “brain fog” are observed among patients with various chronic health conditions. Unfortunately, an efficient and psychometrically sound instrument to assess these co-occurring symptoms is unavailable. Here, we report the development and initial psychometric properties of the Fatigue and Altered Cognition Scale (the FACs), a measure of self-reported central fatigue and brain fog. Traumatic brain injury (TBI) was chosen to model and develop the FACs due to research team expertise and established links between TBI and the symptom complex. Potential items were generated by researchers and clinicians with experience treating these symptoms, drawing from relevant literature and review of patient responses to measures from past and current TBI studies. The 20 candidate items for the FACs—ten each to assess altered cognition (i.e., brain fog) and central fatigue–were formatted on an electronic visual analogue response scale (eVAS) via an online survey. Demographic information and history of TBI were obtained. A total of 519 participants consented and provided usable data (average age = 40.23 years; 73% female), 204 of whom self-reported a history of TBI (75% reported mild TBI). Internal consistency and reliability values were calculated. Confirmatory factor analysis (CFA) examined the presumed two-factor structure of the FACs and a one-factor solution for comparison. A measurement invariance test of the two latent constructs (altered cognition, fatigue) among participants with and without TBI was conducted. All items demonstrated normal distribution. Cronbach’s alpha coefficients indicated good internal consistency for both factors (α’s = .95). Omega reliability values were favorable (α’s = .95). CFA supported the presumed two-factor model and item loadings which outperformed the one-factor model. Measurement invariance found the two-factor structure was consistent between the two groups. Implications of these findings, study limitations, and potential use of the FACs in clinical research and practice are discussed.

Exposure to patient aggression and health outcomes for forensic mental health nurses: A cross‐sectional survey

Abstract

Aims

The aims of the study were to determine the types and prevalence of forensic mental health nurse exposure to patient aggression and explore the impact of these exposures on their physical and mental health and work absences.

Design

Cross-sectional survey conducted January to April 2020.

Methods

All 205 nurses working in an Australian high-security inpatient forensic mental health hospital were invited to participate. An online survey included the Perception of Prevalence of Aggression Scale to measure respondent exposure to types of patient aggression, and the SF-36v2 to measure mental and physical health. Absence from work and other work and individual characteristics were also explored.

Results

Sixty-eight respondents completed the survey. Verbal abuse was the most experienced aggression type, followed by physical violence and observing violence, patient self-harming behaviours and sexual violence. Nurses who worked in acute units experienced significantly more exposure to overall aggression than nurses in non-acute units. Higher level of aggression was associated with number of days sick leave taken and days off due to aggression or violence. Higher level of aggression was associated with poorer mental health, and patient self-harming behaviour was associated with poorer physical health.

Conclusions

Nurses in acute units experience higher levels of inpatient aggression and are therefore at increased risk of being impacted by the exposure. Findings indicate a psychological impact of exposure to frequent aggression and potential for an accumulative effect of exposure to traumatic events on nurse well-being. Nurses who are victim of, or witness, physical violence are most likely to take time off work.

Impact

This study provides further evidence that forensic mental health nurses are frequently exposed to various forms of patient aggression. For some nurses, this exposure to patient aggression negatively impacted their mental and physical health. Employing organizations should therefore prioritize provision of formal support for nurses.

No patient or public contribution.

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