Cargando…

Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study

BACKGROUND: Few countries have made much progress in implementing transparent and efficient systems for the allocation of mental health care resources. In England there are ongoing efforts by the National Health Service (NHS) to develop mental health ‘payment by results’ (PbR). The system depends on...

Descripción completa

Detalles Bibliográficos
Autores principales: Twomey, Conal, Prina, A. Matthew, Baldwin, David S., Das-Munshi, Jayati, Kingdon, David, Koeser, Leonardo, Prince, Martin J., Stewart, Robert, Tulloch, Alex D., Cieza, Alarcos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130232/
https://www.ncbi.nlm.nih.gov/pubmed/27902745
http://dx.doi.org/10.1371/journal.pone.0167103
_version_ 1782470697343254528
author Twomey, Conal
Prina, A. Matthew
Baldwin, David S.
Das-Munshi, Jayati
Kingdon, David
Koeser, Leonardo
Prince, Martin J.
Stewart, Robert
Tulloch, Alex D.
Cieza, Alarcos
author_facet Twomey, Conal
Prina, A. Matthew
Baldwin, David S.
Das-Munshi, Jayati
Kingdon, David
Koeser, Leonardo
Prince, Martin J.
Stewart, Robert
Tulloch, Alex D.
Cieza, Alarcos
author_sort Twomey, Conal
collection PubMed
description BACKGROUND: Few countries have made much progress in implementing transparent and efficient systems for the allocation of mental health care resources. In England there are ongoing efforts by the National Health Service (NHS) to develop mental health ‘payment by results’ (PbR). The system depends on the ability of patient ‘clusters’ derived from the Health of the Nation Outcome Scales (HoNOS) to predict costs. We therefore investigated the associations of individual HoNOS items and the Total HoNOS score at baseline with mental health service costs at one year follow-up. METHODS: An historical cohort study using secondary care patient records from the UK financial year 2012–2013. Included were 1,343 patients with ‘common mental health problems’, represented by ICD-10 disorders between F32-48. Costs were based on patient contacts with community-based and hospital-based mental health services. The costs outcome was transformed into ‘high costs’ vs ‘regular costs’ in main analyses. RESULTS: After adjustment for covariates, 11 HoNOS items were not associated with costs. The exception was ‘self-injury’ with an odds ratio of 1.41 (95% CI 1.10–2.99). Population attributable fractions (PAFs) for the contribution of HoNOS items to high costs ranged from 0.6% (physical illness) to 22.4% (self-injury). After adjustment, the Total HoNOS score was not associated with costs (OR 1.03, 95% CI 0.99–1.07). However, the PAF (33.3%) demonstrated that it might account for a modest proportion of the incidence of high costs. CONCLUSIONS: Our findings provide limited support for the utility of the self-injury item and Total HoNOS score in predicting costs. However, the absence of associations for the remaining HoNOS items indicates that current PbR clusters have minimal ability to predict costs, so potentially contributing to a misallocation of NHS resources across England. The findings may inform the development of mental health payment systems internationally, especially since the vast majority of countries have not progressed past the early stages of this development. Discrepancies between our findings with those from Australia and New Zealand point to the need for further international investigations.
format Online
Article
Text
id pubmed-5130232
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-51302322016-12-15 Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study Twomey, Conal Prina, A. Matthew Baldwin, David S. Das-Munshi, Jayati Kingdon, David Koeser, Leonardo Prince, Martin J. Stewart, Robert Tulloch, Alex D. Cieza, Alarcos PLoS One Research Article BACKGROUND: Few countries have made much progress in implementing transparent and efficient systems for the allocation of mental health care resources. In England there are ongoing efforts by the National Health Service (NHS) to develop mental health ‘payment by results’ (PbR). The system depends on the ability of patient ‘clusters’ derived from the Health of the Nation Outcome Scales (HoNOS) to predict costs. We therefore investigated the associations of individual HoNOS items and the Total HoNOS score at baseline with mental health service costs at one year follow-up. METHODS: An historical cohort study using secondary care patient records from the UK financial year 2012–2013. Included were 1,343 patients with ‘common mental health problems’, represented by ICD-10 disorders between F32-48. Costs were based on patient contacts with community-based and hospital-based mental health services. The costs outcome was transformed into ‘high costs’ vs ‘regular costs’ in main analyses. RESULTS: After adjustment for covariates, 11 HoNOS items were not associated with costs. The exception was ‘self-injury’ with an odds ratio of 1.41 (95% CI 1.10–2.99). Population attributable fractions (PAFs) for the contribution of HoNOS items to high costs ranged from 0.6% (physical illness) to 22.4% (self-injury). After adjustment, the Total HoNOS score was not associated with costs (OR 1.03, 95% CI 0.99–1.07). However, the PAF (33.3%) demonstrated that it might account for a modest proportion of the incidence of high costs. CONCLUSIONS: Our findings provide limited support for the utility of the self-injury item and Total HoNOS score in predicting costs. However, the absence of associations for the remaining HoNOS items indicates that current PbR clusters have minimal ability to predict costs, so potentially contributing to a misallocation of NHS resources across England. The findings may inform the development of mental health payment systems internationally, especially since the vast majority of countries have not progressed past the early stages of this development. Discrepancies between our findings with those from Australia and New Zealand point to the need for further international investigations. Public Library of Science 2016-11-30 /pmc/articles/PMC5130232/ /pubmed/27902745 http://dx.doi.org/10.1371/journal.pone.0167103 Text en © 2016 Twomey et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Twomey, Conal
Prina, A. Matthew
Baldwin, David S.
Das-Munshi, Jayati
Kingdon, David
Koeser, Leonardo
Prince, Martin J.
Stewart, Robert
Tulloch, Alex D.
Cieza, Alarcos
Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study
title Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study
title_full Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study
title_fullStr Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study
title_full_unstemmed Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study
title_short Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study
title_sort utility of the health of the nation outcome scales (honos) in predicting mental health service costs for patients with common mental health problems: historical cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130232/
https://www.ncbi.nlm.nih.gov/pubmed/27902745
http://dx.doi.org/10.1371/journal.pone.0167103
work_keys_str_mv AT twomeyconal utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT prinaamatthew utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT baldwindavids utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT dasmunshijayati utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT kingdondavid utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT koeserleonardo utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT princemartinj utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT stewartrobert utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT tullochalexd utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy
AT ciezaalarcos utilityofthehealthofthenationoutcomescaleshonosinpredictingmentalhealthservicecostsforpatientswithcommonmentalhealthproblemshistoricalcohortstudy