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

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dc.contributor.affiliationDepartment of Child and Adolescent Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
dc.contributor.emailkessler@hcp.med.harvard.edu (Ronald C. Kessler)
dc.creatorVries, Ymkje Anna de
dc.creatorAlonso, Jordi
dc.creatorChatterji, Somnath
dc.creatorJonge, Peter de
dc.creatorLokkerbol, Joran
dc.creatorMcGrath, John J.
dc.creatorPetukhova, Maria V.
dc.creatorSampson, Nancy A.
dc.creatorSverdrup, Erik
dc.creatorVigo, Daniel V.
dc.creatorWager, Stefan
dc.creatorAl-Hamzawi, Ali
dc.creatorBorges, Guilherme
dc.creatorBruffaerts, Ronny
dc.creatorBunting, Brendan
dc.creatorChardoul, Stephanie
dc.creatorKaram, Elie G.
dc.creatorKiejna, Andrzej
dc.creatorKovess-Masfety, Viviane
dc.creatorNavarro-Mateu, Fernando
dc.creatorOjagbemi, Akin
dc.creatorPiazza, Marina
dc.creatorPosada-Villa, José
dc.creatorSasu, Carmen
dc.creatorScott, Kate M.
dc.creatorTachimori, Hisateru
dc.creatorHave, Margreet Ten
dc.creatorTorres, Yolanda
dc.creatorViana, Maria Carmen
dc.creatorZamparini, Manuel
dc.creatorZarkov, Zahari
dc.creatorKessler, Ronald C.
dc.creatorWorld Mental Health Survey Collaborators
dc.creator.identificadorhttps://orcid.org/0000-0001-8627-9636 (Alonso, Jordi)
dc.creator.identificadorhttps://orcid.org/0000-0002-3085-6550 (Chatterji, Somnath)
dc.creator.identificadorhttps://orcid.org/0000-0003-0086-2199 (Have, Margreet Ten)
dc.creator.identificadorhttps://orcid.org/0000-0003-4831-2305 (Kessler, Ronald C.)
dc.date2023
dc.date.accessioned2026-05-28T20:22:15Z
dc.date.issued2023
dc.date.published2023
dc.descriptionObjective 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 disorder‐specific 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.
dc.identifierJC21DIEP24
dc.identifier.doi10.1002/mpr.2003
dc.identifier.eissn1557-0657
dc.identifier.issn1049-8931
dc.identifier.organizacionInstituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
dc.identifier.placeEstados Unidos
dc.identifier.urihttps://repositorio.inprf.gob.mx/handle/123456789/36
dc.identifier.urihttps://doi.org/10.1002/mpr.2003
dc.language.isoeng
dc.publisherJohn Wiley & Sons
dc.relation33(1):e2003
dc.relation.jnabreviadoINT J METHODS PSYCHIATR RES
dc.relation.journalInternational Journal of Methods in Psychiatric Research
dc.rightsAcceso Cerrado
dc.subject.kwCausal forest
dc.subject.kwComorbidity
dc.subject.kwDisability
dc.subject.kwGlobal burden of disease
dc.subject.kwMental disorders
dc.titleProof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability
dc.typeArtículo

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