Logo do repositório
 
Publicação

Desarrollo y validación de un algoritmo para predecir riesgo de depresión en consultantes de atención primaria en Chile

2014Artigo científico Acesso aberto
Ver registo simples
dc.contributor.authorSaldivia, Sandra
dc.contributor.authorVicente, Benjamin
dc.contributor.authorMarston, Louise
dc.contributor.authorMelipillán, Roberto
dc.contributor.authorNazareth, Irwin
dc.contributor.authorBellón-Saameño, Juan
dc.contributor.authorXavier, Miguel
dc.contributor.authorXavier, Miguel
dc.contributor.authorMaaroos, Heidi Ingrid
dc.contributor.authorSvab, Igor
dc.contributor.authorGeerlings, M. I.
dc.contributor.authorKing, Michael
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.pblRevista Medica de Chile / Sociedad M�dica de Santiago
dc.date.accessioned2018-11-22T23:19:38Z
dc.date.available2018-11-22T23:19:38Z
dc.date.issued2014
dc.description.abstractBackground: The reduction of major depression incidence is a public health challenge. Aim: To develop an algorithm to estimate the risk of occurrence of major depression in patients attending primary health centers (PHC). Material and Methods: Prospective cohort study of a random sample of 2832 patients attending PHC centers in Concepción, Chile, with evaluations at baseline, six and twelve months. Thirty nine known risk factors for depression were measured to build a model, using a logistic regression. The algorithm was developed in 2,133 patients not depressed at baseline and compared with risk algorithms developed in a sample of 5,216 European primary care attenders. The main outcome was the incidence of major depression in the follow-up period. Results: The cumulative incidence of depression during the 12 months follow up in Chile was 12%. Eight variables were identified. Four corresponded to the patient (gender, age, depression background and educational level) and four to patients' current situation (physical and mental health, satisfaction with their situation at home and satisfaction with the relationship with their partner). The C-Index, used to assess the discriminating power of the final model, was 0.746 (95% confidence intervals (CI = 0,707-0,785), slightly lower than the equation obtained in European (0.790 95% CI = 0.767-0.813) and Spanish attenders (0.82; 95% CI = 0.79-0.84). Conclusions: Four of the factors identified in the risk algorithm are not modifiable. The other two factors are directly associated with the primary support network (family and partner). This risk algorithm for the incidence of major depression provides a tool that can guide efforts towards design, implementation and evaluation of effectiveness of interventions to prevent major depression.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent7
dc.format.extent164581
dc.identifier.doi10.4067/S0034-98872014000300007
dc.identifier.issn0034-9887
dc.identifier.otherPURE: 6435691
dc.identifier.otherPURE UUID: 22ea1532-c234-4a9d-9dfc-1ca1107820a1
dc.identifier.otherScopus: 84904105574
dc.identifier.otherPubMed: 25052269
dc.identifier.otherWOS: 000336075000006
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=84904105574&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/84904105574
dc.language.isospa
dc.peerreviewedyes
dc.subjectDecision Support techniques
dc.subjectDepression
dc.subjectPrimary health care
dc.subjectGeneral Medicine
dc.subjectSDG 3 - Good Health and Well-being
dc.titleDesarrollo y validación de un algoritmo para predecir riesgo de depresión en consultantes de atención primaria en Chilees
dc.title.alternativeDevelopment of an algorithm to predict the incidence of major depression among primary care consultantsen
dc.typejournal article
degois.publication.firstPage323
degois.publication.issue3
degois.publication.lastPage329
degois.publication.titleRevista Medica De Chile
degois.publication.volume142
dspace.entity.typePublication
person.familyNameXavier
person.givenNameMiguel
person.identifier.ciencia-idD71F-6F62-6CFA
person.identifier.orcid0000-0003-2698-1284
person.identifier.scopus-author-id7006066808
rcaap.rightsopenAccess
relation.isAuthorOfPublication1f1ba027-e7cf-4b4a-906b-35d61c74eb90
relation.isAuthorOfPublication.latestForDiscovery1f1ba027-e7cf-4b4a-906b-35d61c74eb90

Ficheiros

Coleções

NMS - Artigos em revista internacional com arbitragem científica