Published March 31, 2022 | Version v1
Dataset Open

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

  • 1. Universidad Loyola Andalucía

Description

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.

Notes

The README file contains an explanation of each variable in the dataset, including its variable name, units, and explanation. This dataset has been used for assessing relative technical efficiency, stability, and entropy indicators.

Funding provided by: Department of Economic Transformation, Industry, Knowledge and Universities (Junta de Andalucía) and co-funded by FEDER funds*
Crossref Funder Registry ID:
Award Number: PY18-RE-0022

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