Network Analysis of the Brief ICF Core Set for Schizophrenia.
Delphi method
ICF core set
functioning
network analysis
schizophrenia
Journal
Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006
Informations de publication
Date de publication:
2022
2022
Historique:
received:
10
01
2022
accepted:
23
05
2022
entrez:
5
7
2022
pubmed:
6
7
2022
medline:
6
7
2022
Statut:
epublish
Résumé
The International Classification of Functioning, Disability, and Health Core Sets (ICF-CSs) for schizophrenia are a set of categories for assessing functioning in persons with this health condition. This study aimed to: a) estimate the network structure of the Brief ICF-CS for schizophrenia, b) examine the community structure (categories strongly clustered together) underlying this network, and c) identify the most central categories within this network. A total of 638 health professionals from different backgrounds and with a significant role in the treatment of individuals with schizophrenia participated in a series of Delphi studies. Based on their responses we used the Ising model to estimate the network structure of the 25-category Brief ICF-CS, and then estimated the degree of centrality for all categories. Finally, the community structure was detected using the walktrap algorithm. The resulting network revealed strong associations between individual categories within components of the ICF (i.e., These results demonstrate the utility of a network approach for estimating the structure of the ICF-CSs. Implications of these results for clinical interventions and development of new instruments are discussed.
Sections du résumé
Background
UNASSIGNED
The International Classification of Functioning, Disability, and Health Core Sets (ICF-CSs) for schizophrenia are a set of categories for assessing functioning in persons with this health condition. This study aimed to: a) estimate the network structure of the Brief ICF-CS for schizophrenia, b) examine the community structure (categories strongly clustered together) underlying this network, and c) identify the most central categories within this network.
Methods
UNASSIGNED
A total of 638 health professionals from different backgrounds and with a significant role in the treatment of individuals with schizophrenia participated in a series of Delphi studies. Based on their responses we used the Ising model to estimate the network structure of the 25-category Brief ICF-CS, and then estimated the degree of centrality for all categories. Finally, the community structure was detected using the walktrap algorithm.
Results
UNASSIGNED
The resulting network revealed strong associations between individual categories within components of the ICF (i.e.,
Conclusion
UNASSIGNED
These results demonstrate the utility of a network approach for estimating the structure of the ICF-CSs. Implications of these results for clinical interventions and development of new instruments are discussed.
Identifiants
pubmed: 35782412
doi: 10.3389/fpsyt.2022.852132
pmc: PMC9247197
doi:
Types de publication
Journal Article
Langues
eng
Pagination
852132Informations de copyright
Copyright © 2022 Nuño, Guilera, Barrios, Gómez-Benito and Abdelhamid.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Int J Ment Health Nurs. 2019 Aug;28(4):867-878
pubmed: 30834663
Schizophr Res. 2019 Feb;204:337-342
pubmed: 30205908
PLoS One. 2019 Jun 6;14(6):e0217936
pubmed: 31170249
Am J Occup Ther. 2021 Mar-Apr;75(2):7502205060p1-7502205060p10
pubmed: 33657348
Neuropsychiatr Dis Treat. 2015 Jan 14;11:145-51
pubmed: 25609970
J Psychiatr Res. 2021 Apr;136:265-273
pubmed: 33621912
PLoS One. 2011;6(6):e20476
pubmed: 21694759
J Clin Med. 2021 Sep 17;10(18):
pubmed: 34575332
Multivariate Behav Res. 2021 Mar-Apr;56(2):353-367
pubmed: 31179765
JAMA Psychiatry. 2021 May 1;78(5):550-559
pubmed: 33566071
Drug Alcohol Depend. 2016 Apr 1;161:230-7
pubmed: 26898186
Acta Psychiatr Scand Suppl. 2006;(429):51-9
pubmed: 16445483
Health Expect. 2018 Feb;21(1):192-200
pubmed: 28779520
World Psychiatry. 2002 Feb;1(1):52-4
pubmed: 16946824
PLoS One. 2018 Feb 27;13(2):e0192929
pubmed: 29485988
Schizophr Res. 2007 Nov;96(1-3):135-45
pubmed: 17766089
Br J Psychiatry. 2017 May;210(5):324-332
pubmed: 28302699
J Psychiatr Res. 2018 Aug;103:134-141
pubmed: 29852420
Schizophr Res. 2018 Nov;201:105-112
pubmed: 29898819
J Anxiety Disord. 2021 Mar;78:102359
pubmed: 33524701
Schizophr Res. 2018 Dec;202:328-332
pubmed: 30539770
J Affect Disord. 2019 Sep 1;256:295-301
pubmed: 31200167
Schizophr Res. 2021 Feb;228:447-459
pubmed: 33578368
Behav Res Methods. 2018 Feb;50(1):195-212
pubmed: 28342071
Psychiatry Res. 2018 Dec;270:1092-1098
pubmed: 29907336
Schizophr Res. 2019 Sep;211:44-50
pubmed: 31326234
World Psychiatry. 2014 Oct;13(3):275-87
pubmed: 25273301
World Psychiatry. 2018 Oct;17(3):316-329
pubmed: 30192101
J Psychiatr Res. 2015 Sep;68:254-60
pubmed: 26228427
Sci Rep. 2014 Aug 01;4:5918
pubmed: 25082149
J Adv Nurs. 2000 Oct;32(4):1008-15
pubmed: 11095242
Schizophr Res. 2020 Feb;216:272-278
pubmed: 31839556
Psychiatry Res. 2017 Aug;254:198-204
pubmed: 28463718
Disabil Rehabil. 2018 Nov;40(23):2756-2766
pubmed: 28756686
Schizophr Res. 2020 Feb;216:523-525
pubmed: 31902559
Clin Psychopharmacol Neurosci. 2020 Nov 30;18(4):571-579
pubmed: 33124589
Eur J Phys Rehabil Med. 2015 Feb;51(1):105-17
pubmed: 24686893
Disabil Rehabil. 2021 Dec;43(26):3733-3740
pubmed: 32285708
Disabil Rehabil. 2017 Oct;39(20):2055-2062
pubmed: 27712119
Psychiatry Res. 2017 Aug;254:164-172
pubmed: 28463714