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 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20151022T114939Z
DTSTART:20151028T160000Z
SUMMARY:Mitchell Centre Seminar Series
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}v85-if5jubz
 2-n8ufyk
DESCRIPTION:Vincent Lorant\, Université catholique de Louvain\nOptimal ne
 twork for the continuity of care of patients with severe mental disorder
 : a multi-level social network analysis\n\nBackground/Objectives \nThe c
 hallenge of mental health care in the community is to sustain patients’ 
 continuity of care and their social integration.  Accordingly\, in sever
 al western countries\, health authorities have promoted mental health ca
 re networks as organisation solution to coordinate services addressing p
 atients with severe mental illness.  However\, the most effective way to
  design these networks is unclear.  Is continuity of care improved by hi
 gher centralisation? Should the relationships across services be strong 
 or weak?  All in all\, it is thus unclear what an optimal network of men
 tal health care services should looks like to improve continuity of care
  and the social integration of these patients.  We worked out whether so
 me network structures were most suitable for the continuity of care and 
 social integration for patients with severe and chronic mental illness. 
  \n\nMethods \nA multi-level survey was achieved in 2014 across Belgium:
   1\,200 patients with severe and chronic mental illness were recruited 
 across 19 mental health care networks. Patient filled out a questionnair
 e including the Alberta Continuity of Service Scale for Mental Health (A
 CSS-MH) and an index of social Integration (SIX). Also\, 542 services fr
 om these 19 networks filled out a social network questionnaire tapping r
 eferrals across services.  For each network\, we computed structural ind
 icators describing the composition\, density\, centralization\, distance
 \, and the magnitude of weak ties (referral to different types of servic
 es). \n\nResults	\nOn average\, continuity of care was quite good with 7
 4.6% of the maximum score (std=9.1%) whereas social integration was low 
 (3.1/6). The items related to treatment responsiveness received low scor
 e (71%) whereas items related to relational continuity had the highest s
 core (78%). Patients complained particularly about low GPs involvement\,
  and the lack of information continuity.   Overall\, the 19 networks wer
 e hospital-centred\, had a balanced composition of different type of ser
 vices. They were also dense\, with low centralisation\, and had many wea
 k referral ties to other types of services.   \nTotal continuity of care
  was not related with the network structure. However\, relational contin
 uity of care was improved in larger networks and in networks with more s
 trong ties. Social integration was lower in dense network\, higher in ne
 twork with shorter distance across services and higher in network with m
 ore weak ties.   \n\nDiscussion/Conclusion\nContinuity of care and socia
 l integration require different network structures.  The network structu
 re most suitable to improve social integration of patients with severe m
 ental illness have low density.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:G6\, Humanities Bridgeford Street\, Manchester
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