Latent class analysis of the health of the nation outcome scales: A comparison of Swiss and English profiles and exploration of their predictive utility

Hdl Handle:
http://hdl.handle.net/10149/621537
Title:
Latent class analysis of the health of the nation outcome scales: A comparison of Swiss and English profiles and exploration of their predictive utility
Authors:
Maddison, P.; Golay, P. (Philippe); Muncer, S. J. (Steven)
Affiliation:
Teesside University. Health and Social Care Institute
Citation:
Maddison, P., Golay, P., Muncer, S. (2017) 'Latent class analysis of the health of the nation outcome scales: A comparison of Swiss and English profiles and exploration of their predictive utility', European Psychiatry; Accepted for publication 11 Oct 2017 : DOI: 10.1016/j.eurpsy.2017.10.006
Publisher:
Elsevier
Journal:
European Psychiatry
Issue Date:
26-Oct-2017
URI:
http://hdl.handle.net/10149/621537
DOI:
10.1016/j.eurpsy.2017.10.006
Additional Links:
http://www.europsy-journal.com/article/S0924-9338(17)32988-7/abstract
Abstract:
The Health of the nation outcome scales (HoNOS) [1] were designed to measure the health and social functioning of adults with severe mental health problems. They form part of the English mental health minimum data set and are recommended by the department of health and are part of the attempt to develop “payment by results” (PbR) for mental health [2]. They are also widely used in Australia, New Zealand and Canada [3,4], and have also been used in Europe [5]. Although they are widely used there are still questions about their psychometric validity and their ability to predict anything useful.
Type:
Article
Language:
en
Keywords:
HoNOS; latent class analysis; clinical outcome; mental health; outcome scales; payment by results
ISSN:
0924-9338
EISSN:
1778-3585
Rights:
Following a 12 month embargo author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/issn/0924-9338/ [Accessed: 07/12/2017]

Full metadata record

DC FieldValue Language
dc.contributor.authorMaddison, P.en
dc.contributor.authorGolay, P. (Philippe)en
dc.contributor.authorMuncer, S. J. (Steven)en
dc.date.accessioned2017-12-07T11:24:36Z-
dc.date.available2017-12-07T11:24:36Z-
dc.date.issued2017-10-26-
dc.identifier.citationEuropean Psychiatry; Accepted for publication 11 Oct 2017en
dc.identifier.issn0924-9338-
dc.identifier.doi10.1016/j.eurpsy.2017.10.006-
dc.identifier.urihttp://hdl.handle.net/10149/621537-
dc.description.abstractThe Health of the nation outcome scales (HoNOS) [1] were designed to measure the health and social functioning of adults with severe mental health problems. They form part of the English mental health minimum data set and are recommended by the department of health and are part of the attempt to develop “payment by results” (PbR) for mental health [2]. They are also widely used in Australia, New Zealand and Canada [3,4], and have also been used in Europe [5]. Although they are widely used there are still questions about their psychometric validity and their ability to predict anything useful.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://www.europsy-journal.com/article/S0924-9338(17)32988-7/abstracten
dc.rightsFollowing a 12 month embargo author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/issn/0924-9338/ [Accessed: 07/12/2017]en
dc.subjectHoNOSen
dc.subjectlatent class analysisen
dc.subjectclinical outcomeen
dc.subjectmental healthen
dc.subjectoutcome scalesen
dc.subjectpayment by resultsen
dc.titleLatent class analysis of the health of the nation outcome scales: A comparison of Swiss and English profiles and exploration of their predictive utilityen
dc.typeArticleen
dc.identifier.eissn1778-3585-
dc.contributor.departmentTeesside University. Health and Social Care Instituteen
dc.identifier.journalEuropean Psychiatryen
or.citation.harvardMaddison, P., Golay, P., Muncer, S. (2017) 'Latent class analysis of the health of the nation outcome scales: A comparison of Swiss and English profiles and exploration of their predictive utility', European Psychiatry; Accepted for publication 11 Oct 2017 : DOI: 10.1016/j.eurpsy.2017.10.006-
dc.eprint.versionPost-printen
dc.embargo12 monthsen
dc.date.accepted2017-10-11-
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