Quality of care and performance indicators of mental health supported accommodation services in England

This dataset includes data from Mental Health supporting accommodation
services in England. It includes information on resources (inputs) and
outcomes (outputs) of care, which are described in the manuscript
published in Plos One: “Almeda, N., García-Alonso, C. R., Killaspy, H.,
Gutiérrez-Colosía, M. R., & Salvador-Carulla, L. (2022). The
critical factor: The role of quality in the performance of supported
accommodation services for complex mental illness in England. Plos One,
17(3), e0265319. https://doi.org/10.1371/journal.pone.0265319" The
research associated with the present data focused on developing an
analytical process for assessing the performance of the Mental health (MH)
supporting accommodation services from 14 different regions of England
considering the effect of the quality-of-care indicators in the
performance. For doing so every service was classified in Residential Care
(move on and non-move on oriented), Supported Housing or Floating
Outreach. Then, information about the quality-of-care was collected from
each domain of the instrument QuIRC-SA. Finally, a decision support system
that integrated data envelopment analysis, Monte Carlo simulation and
artificial intelligence was used. The main results of the analyses pointed
out that the incorporation of quality domains as variables (outputs) in
DEA had a neutral-positive or positive global impact on the performance of
MH-supported accommodation services.

本数据集收录了英格兰地区心理健康支持住宿服务的相关数据，涵盖照护资源（投入项）与照护结果（产出项）相关信息，相关细节已发表于《公共科学图书馆·综合》（Plos One）的论文中：Almeda, N.、García-Alonso, C. R.、Killaspy, H.、Gutiérrez-Colosía, M. R. 及 Salvador-Carulla, L.（2022）。《关键因素：质量在英格兰复杂精神疾病支持住宿服务绩效中的作用》，《公共科学图书馆·综合》，17(3)，e0265319，DOI：10.1371/journal.pone.0265319。
本次数据关联的研究旨在开发一套分析流程，用于评估英格兰14个不同地区的心理健康（Mental Health, MH）支持住宿服务的绩效，并考量照护质量指标对绩效的影响。为此，所有服务被划分为三类：康复导向与非康复导向住宿照料（Residential Care）、支持性住房（Supported Housing）以及流动外展服务（Floating Outreach）。
随后，从评估工具QuIRC-SA的各个维度收集照护质量相关信息。最终，采用了一套集成了数据包络分析（Data Envelopment Analysis, DEA）、蒙特卡洛模拟（Monte Carlo Simulation）与人工智能（Artificial Intelligence, AI）的决策支持系统。
分析的主要结果表明，将质量维度作为变量（产出指标）纳入DEA模型，对心理健康支持住宿服务的绩效整体产生了中性偏积极乃至积极的影响。