Proof-of-concept of a data-driven approach to estimate the associations of comorbid mental and physical disorders with global health-related disability

Ymkje Anna de Vries; Jordi Alonso; Somnath Chatterji; Peter de Jonge; Joran Lokkerbol; John J. McGrath; Maria V. Petukhova; Nancy A. Sampson; Erik Sverdrup; Daniel V. Vigo; Stefan Wager; Ali Al-Hamzawi; Guilherme Borges; Ronny Bruffaerts; Brendan Bunting; Stephanie Chardoul; Elie G. Karam; Andrzej Kiejna; Viviane Kovess-Masfety; Fernando Navarro-Mateu; Akin Ojagbemi; Marina Piazza; Jose Posada-Villa; Carmen Sasu; Kate M. Scott; Hisateru Tachimori; Margreet Ten Have; Yolanda Torres; Maria Carmen Viana; Manuel Zamparini; Zahari Zarkov; Ronald C. Kessler; World Mental Hlth Survey Collab

doi:10.1002/mpr.2003

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Proof-of-concept of a data-driven approach to estimate the associations of comorbid mental and physical disorders with global health-related disability

Journal article

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Proof-of-concept of a data-driven approach to estimate the associations of comorbid mental and physical disorders with global health-related disability

Ymkje Anna de Vries, Jordi Alonso, Somnath Chatterji, Peter de Jonge, Joran Lokkerbol, John J. McGrath, Maria V. Petukhova, Nancy A. Sampson, Erik Sverdrup, Daniel V. Vigo, …

International journal of methods in psychiatric research, Vol.33(1), p.n/a

01/03/2024

DOI: https://doi.org/10.1002/mpr.2003

Handle:

https://hdl.handle.net/10523/17999

Abstract

Life Sciences & Biomedicine

Psychiatry

Science & Technology

Objective: The standard method of generating disorder-specific disability scores has lay raters make rankings between pairs of disorders based on brief disorder vignettes. This method introduces bias due to differential rater knowledge of disorders and inability to disentangle the disability due to disorders from the disability due to comorbidities. Methods: We propose an alternative, data-driven, method of generating disorderspecific disability scores that assesses disorders in a sample of individuals either from population medical registry data or population survey self-reports and uses Generalized Random Forests (GRF) to predict global (rather than disorder-specific) disability assessed by clinician ratings or by survey respondent self- reports. This method also provides a principled basis for studying patterns and predictors of heterogeneity in disorder-specific disability. We illustrate this method by analyzing data for 16 disorders assessed in the World Mental Health Surveys (n = 53,645). Results: Adjustments for comorbidity decreased estimates of disorder-specific disability substantially. Estimates were generally somewhat higher with GRF than conventional multivariable regression models. Heterogeneity was nonsignificant. Conclusions: The results show clearly that the proposed approach is practical, and that adjustment is needed for comorbidities to obtain accurate estimates of disorder-specific disability. Expansion to a wider range of disorders would likely find more evidence for heterogeneity.

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Record Identifier: 9926495162301891
Title: Proof-of-concept of a data-driven approach to estimate the associations of comorbid mental and physical disorders with global health-related disability
Creators: Ymkje Anna de Vries
Jordi Alonso
Somnath Chatterji
Peter de Jonge
Joran Lokkerbol
John J. McGrath
Maria V. Petukhova
Nancy A. Sampson
Erik Sverdrup
Daniel V. Vigo
Stefan Wager
Ali Al-Hamzawi
Guilherme Borges
Ronny Bruffaerts
Brendan Bunting
Stephanie Chardoul
Elie G. Karam
Andrzej Kiejna
Viviane Kovess-Masfety
Fernando Navarro-Mateu
Akin Ojagbemi
Marina Piazza
Jose Posada-Villa
Carmen Sasu
Kate M. Scott
Hisateru Tachimori
Margreet Ten Have
Yolanda Torres
Maria Carmen Viana
Manuel Zamparini
Zahari Zarkov
Ronald C. Kessler
World Mental Hlth Survey Collab
Publication Details: International journal of methods in psychiatric research, Vol.33(1), p.n/a
Academic Unit: Psychological Medicine (DSM)
Publisher: Wiley
Grant note: National Center for Public Health Protection WHO (Geneva); World Health Organization Ministry of Social Protection Algorithm National Institute of Health of the Ministry of Health of Peru Regional Health Authorities of Murcia (Consejeria de Sanidad y Politica Social) Eli Lilly and Company; Eli Lilly R03 TW006481-01 / National Institute of Health/Fogarty International Center; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Fogarty International Center (FIC) WHO (Nigeria); World Health Organization H13-SHOGAI-023; H14-TOKUBETSU-026; H16-KOKORO-013; H25-SEISHIN-IPPAN-006 / Grant for Research on Psychiatric and Neurological Diseases and Mental Health from the Japan Ministry of Health, Labour and Welfare Health Research Council; Health Research Council of New Zealand Lundbeck; Lundbeck Corporation Fundacion para la Formacion e Investigacion Sanitarias (FFIS) of Murcia Glaxo Smith Kline; GlaxoSmithKline INPRFMDIES 4280 / National Institute of Psychiatry Ramon de la Fuente OmniPharma Health & Social Care Research & Development Division of the Public Health Agency CONACyT-G30544-H / National Council on Science and Technology 044708 / Robert Wood Johnson Foundation (RWJF) 03/00204-3 / State of Sao Paulo Research Foundation (FAPESP) Thematic Project Grant; Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) FIS 00/0028 / Fondo de Investigacion Sanitaria, Instituto de Salud Carlos III, Spain; Instituto de Salud Carlos III Eli Lilly Servier Ministry of Health Pfizer Pan American Health Organization PL 0256 / Institute of Psychiatry and Neurology in Warsaw WHO (Lebanon); World Health Organization R01 MH070884 / United States National Institute of Mental Health (NIMH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) Center for Excellence on Research in Mental Health (CES University) Norwegian Financial Mechanism SAF 2000-158-CE / Ministerio de Ciencia y Tecnologia, Spain; Spanish Government Bella Pharma Alcohol Advisory Council Ortho-McNeil Pharmaceutical Inc. 2017 SGR 452; 2014 SGR 748 / Generalitat de Catalunya Lebanese Ministry of Public Health Bristol-Myers Squibb Ministry of Public Health United Nations Development Group Iraq Trust Fund (UNDG ITF) European Economic Area Financial Mechanism CIBER CB06/02/0046; RETICS RD06/0011 REM-TAP / Instituto de Salud Carlos III; Spanish Government UPO Regional Health Authorities of Murcia (Servicio Murciano de Salud) Piedmont Region ([Italy]); Regione Piemonte; Instituto de Salud Carlos III Polish Ministry of Health Pfizer Foundation 2002-17270/13-5 / Argentinian Ministry of Health (Ministerio de Salud de la Nacion) Phenicia John D. and Catherine T. MacArthur Foundation R13-MH066849; R01-MH069864; R01 DA016558 / United States Public Health Service; United States Department of Health & Human Services AstraZeneca Benta Novartis U01-MH60220 / National Institute of Mental Health (NIMH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) New Zealand Ministry of Health FIRCA R03-TW006481 / Fogarty International Center; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Fogarty International Center (FIC) GlaxoSmithKline Ministry of Health and European Economic Area Grants Federal Ministry of Health, Abuja, Nigeria QLG5-1999-01042; SANCO 2004123; EAHC 20081308 / European Commission; European Union (EU); European Commission Joint Research Centre
Date published ; e-published: 01/03/2024
Language: English
Resource Type ; Subtype: Journal article