An observational study on IAPT waiting times before, during and after the COVID-19 pandemic using descriptive time-series data

IF 1 Q4 PSYCHIATRY Mental Health Review Journal Pub Date : 2022-07-27 DOI:10.1108/mhrj-04-2022-0023
P. Larsson, Russell Lloyd, Emily Taberham, Maggie Rosairo
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引用次数: 3

Abstract

Purpose The purpose of this paper is to explore waiting times in improving access to psychological therapies (IAPT) services before and throughout the COVID-19 pandemic. The paper aims to help develop a better understanding of waiting times in IAPT so that interventions can be developed to address them. Design/methodology/approach IAPT national data reports was analysed to determine access and in-treatment waiting times before, during and after the COVID-19 pandemic. Time-series data was used to examine referral patterns, waiting list size and waiting times between the period of November 2018 and January 2022. The data covers all regions in England where an IAPT service has been commissioned. Findings There was a dramatic drop in referrals to IAPT services when lockdown started. Waiting list size for all IAPT services in the country reduced, as did incomplete and completed waits. The reduction in waiting times was short-lived, and longer waits are returning. Practical implications This paper aims to contribute to the literature on IAPT waiting times both in relation to, and outside of, COVID-19. It is hoped that the conclusions will generate discussion about addressing long waits to treatment for psychological therapy and encourage further research. Originality/value To the best of the authors’ knowledge, there is no published research examining the performance of IAPT waiting times to second appointment. The paper also contributes to an understanding of how IAPT waiting times are measured and explores challenges with the system itself. Finally, it offers an overview on the impact of the COVID-19 pandemic on waiting time performance nationally.
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使用描述性时间序列数据对新冠肺炎大流行前后IAPT等待时间的观察性研究
目的本文旨在探讨在新冠肺炎大流行之前和整个大流行期间,改善心理治疗(IAPT)服务的等待时间。该论文旨在帮助更好地了解IAPT中的等待时间,以便制定干预措施来解决这些问题。分析了设计/方法/方法IAPT国家数据报告,以确定新冠肺炎大流行之前、期间和之后的访问和治疗等待时间。时间序列数据用于检查2018年11月至2022年1月期间的转诊模式、等待名单规模和等待时间。这些数据涵盖了英格兰所有委托IAPT服务的地区。发现封锁开始时,转介到IAPT服务的人数急剧下降。该国所有IAPT服务的等待名单规模都有所减少,未完成和已完成的等待也有所减少。等待时间的减少是短暂的,等待时间越来越长。实际含义本文旨在为新冠肺炎内外IAPT等待时间的文献做出贡献。希望这些结论将引发关于解决心理治疗等待时间过长的问题的讨论,并鼓励进一步的研究。原创性/价值据作者所知,目前还没有发表研究来检验IAPT等待第二次预约的时间表现。本文还有助于理解IAPT等待时间是如何衡量的,并探讨了系统本身的挑战。最后,它概述了新冠肺炎大流行对全国等待时间表现的影响。
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来源期刊
CiteScore
2.20
自引率
8.30%
发文量
32
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