Use of a capacity audit tool in a mental health setting

2016 ◽  
Vol 40 (1) ◽  
pp. 82 ◽  
Author(s):  
Kathryn Zeitz ◽  
Paul Hester

Objective This paper reports on a pilot applying the capacity audit tool (CAT) in a mental health environment and what the tool reveals regarding mental health in-patient capacity issues. Methods The CAT was modified to create an electronic mental health-relevant tool to audit acute in-patient capacity. This tool was then piloted across nine bedded units, within a single Local Health Network, covering a total of 153 mental health beds. Results The application of the mental health CAT resulted in 100% compliance in completion. The findings revealed that 16% (25 beds) of the 153 beds surveyed were occupied by patients who did not need to occupy the bed or the bed was vacant. Of these 25 beds, 10 had patients awaiting transfer to another facility or service, nine were empty and six were occupied by patients ready for discharge but for whom there were delays. Conclusion The CAT was successfully applied to the mental health setting and identified a set of opportunities to improve processes and practices to reduce the identified delays or barriers in order to improve patient flow. What is known about the topic? Capacity management and, in particular, timely discharge are key components to optimise patient flow and improve access block for emergency departments. The CAT has been successfully applied in general health settings to identify key delays and barriers to discharge. What does this paper add? This article reports on the applicability of the CAT in a mental health setting and the ability of the tool to improve our understanding of bed capacity by identifying key reasons for the use of mental health in-patient beds across a stepped model of care and quantifying the most frequent causes of discharge delay. What are the implications for practitioners? This paper describes the modifications of the CAT to make it applicable to the mental health setting and the associated results obtained using the CAT in a mental health setting. The project demonstrated applicability of the tool to the mental health setting. It can be used in other jurisdictions to identify key discharge delays to underpin targeted improvement work within local mental health environments.

2018 ◽  
Vol 42 (4) ◽  
pp. 438
Author(s):  
Kathryn Zeitz ◽  
Darryl Watson

Objective The aim of the paper was to describe a suite of capacity management principles that have been applied in the mental health setting that resulted in a significant reduction in time spent in two emergency departments (ED) and improved throughput. Methods The project consisted of a multifocal change approach over three phases that included: (1) the implementation of a suite of fundamental capacity management activities led by the service and clinical director; (2) a targeted Winter Demand Plan supported by McKinsey and Co.; and (3) a sustainability of change phase. Descriptive statistics was used to analyse the performance data that was collected through-out the project. Results This capacity management project has resulted in sustained patient flow improvement. There was a reduction in the average length of stay (LOS) in the ED for consumers with mental health presentations to the ED. At the commencement of the project, in July 2014, the average LOS was 20.5 h compared with 8.5 h in December 2015 post the sustainability phase. In July 2014, the percentage of consumers staying longer than 24 h was 26% (n = 112); in November and December 2015, this had reduced to 6% and 7 5% respectively (less than one consumer per day). Conclusion Improving patient flow is multifactorial. Increased attendances in public EDs by people with mental health problems and the lengthening boarding in the ED affect the overall ED throughput. Key strategies to improve mental health consumer flow need to focus on engagement, leadership, embedding fundamentals, managing and target setting. What is known about the topic? Improving patient flow in the acute sector is an emerging topic in the health literature in response to increasing pressures of access block in EDs. What does this paper add? This paper describes the application of a suite of patient flow improvement principles that were applied in the mental health setting that significantly reduced the waiting time for consumers in two EDs. What are the implications for practitioners? No single improvement will reduce access block in the ED for mental health consumers. Reductions in waiting times require a concerted, multifocal approach across all components of the acute mental health journey.


Heliyon ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e06626
Author(s):  
Paulina Cecula ◽  
Jiakun Yu ◽  
Fatema Mustansir Dawoodbhoy ◽  
Jack Delaney ◽  
Joseph Tan ◽  
...  

2020 ◽  
pp. 103985622093662
Author(s):  
Subramanian Purushothaman

Objective: To review the literature on common issues impacting psychiatric patient flow in emergency departments (EDs) and to explore evidence-based solutions proposed to improve patient flow. Methods: The review was divided into three parts and a broad array of keywords were chosen to achieve greater depth in the review. Administrative data and organisational publications were included along with peer-reviewed articles in various databases. Results: Psychiatric patients have increased ED length of stay (EDLOS) and the proportion of psychiatric presentations in ED has increased significantly.1 Several factors contributed to increased EDLOS. Introduction of psychiatric short stay units,2 improving patient flow3 and appropriate increase in beds were identified as some of the possible solutions to improve patient flow. Conclusion: Psychiatric patient flow in ED is a complex issue and needs a coordinated approach to improve access. Future studies should focus on understanding the effectiveness of some of the proposed strategies.


Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e06993
Author(s):  
Fatema Mustansir Dawoodbhoy ◽  
Jack Delaney ◽  
Paulina Cecula ◽  
Jiakun Yu ◽  
Iain Peacock ◽  
...  

2017 ◽  
Vol 13 (01) ◽  
Author(s):  
Hardy S ◽  
Bennett L ◽  
Rosen P ◽  
Carroll S ◽  
White P ◽  
...  

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