Decreases in inpatient hospitalisations from a technology-based, integrated behavioural health crisis response system: an evaluation of the Grand Response Access Network on Demand (GRAND) Model

IF 1.4 Q3 PSYCHIATRY
Jennifer Bronson, Lance Washington
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引用次数: 1

Abstract

ABSTRACT Objective: In the US, there is a need for integrated behavioural health crisis programs that can offer alternatives to inpatient placements and improve client outcomes. In response, GRAND Mental Health in Oklahoma developed the Grand Response Access Network on Demand Model (GRAND Model) in 2016. The purpose of this research was to evaluate the GRAND Model’s outcomes and establish the evidence that it reduces inpatient placements. Methodology: A longitudinal research design using secondary data was used to assess outcomes before and after the GRAND Model implementation in 2016. Quantitative data-informed changes in the central outcome of interest: reductions in inpatient hospitalisations. Results: From 2015 to 2021, the number of inpatient hospitalisations among GRAND adult clients at any Oklahoma psychiatric hospital (excluding Wagoner) fell from 959 (2015) to 66 (2021), a reduction of 93.1%. Inpatient hospitalisations among GRAND adult clients at Wagoner Hospital fell from 841 (2015) to 0 (2021), a reduction of 100%. Discussion: The findings presented here suggest that the GRAND Model could be effective in reducing inpatient hospitalisations among adults. Replication of the model is encouraged by other communities, particularly those in rural areas.
基于技术的综合行为健康危机反应系统减少住院病人住院率:对按需大反应接入网络(Grand)模型的评估
摘要目的:在美国,需要综合的行为健康危机方案,可以提供替代住院安置和改善客户的结果。为此,俄克拉荷马州的GRAND Mental Health于2016年开发了GRAND response Access Network on Demand Model (GRAND Model)。本研究的目的是评估GRAND模型的结果,并建立证据,证明它减少了住院病人的安置。方法:采用二手数据的纵向研究设计来评估2016年GRAND模型实施前后的结果。中心结果的定量数据变化:住院患者减少。结果:从2015年到2021年,俄克拉何马州任何一家精神病院(Wagoner除外)的GRAND成年客户住院人数从959人(2015年)下降到66人(2021年),减少了93.1%。在瓦格纳医院的大成人客户中,住院病人从841例(2015年)下降到0例(2021年),减少了100%。讨论:这里提出的研究结果表明,GRAND模型可以有效地减少成人住院病人的住院率。其他社区,特别是农村地区的社区鼓励复制这一模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
7.10%
发文量
19
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