Predicting the onset of major depression in primary care: international validation of a risk prediction algorithm from spain
| Autor: | Miguel Xavier, J. de Dios Luna, Caterina Vicens, Blanca Gutiérrez, Marta Sánchez-Celaya, Sandra Saldivia, J. Bellon, Bárbara Oliván-Blázquez, Irwin Nazareth, Berta Moreno-Küstner, M. I. Geerlings, María Josefa GildeGómez-Barragán, María Soledad Sánchez-Artiaga, Miguel Ángel Díaz-Barreiros, Francisco Torres-González, Patricia Moreno-Peral, Sebastià March, M. Del Mar Muñoz-García, Carmen Montón-Franco, Ana Vázquez-Medrano, Jorge A. Cervilla, Michael King, María Teresa Martínez-Cañavate, Igor Švab, H. I. Maaroos, Emma Motrico |
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| Přispěvatelé: | University of Groningen |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Adult
Male SELECTION EUROPE Adolescent Population Specific risk QUESTIONNAIRE Poison control Logistic regression Risk Assessment GENERAL-PRACTICE ATTENDEES Young Adult Surveys and Questionnaires Medicine Humans risk factors Prospective Studies education Applied Psychology POPULATION Aged education.field_of_study Depressive Disorder Major business.industry Depression Inverse probability weighting prediction HEALTH SURVEY Middle Aged CIDI Confidence interval PREVALENCE primary health care INTERVIEW Psychiatry and Mental health Logistic Models Spain COMMON MENTAL-DISORDERS Female business Risk assessment Algorithm PROJECT Algorithms |
| Zdroj: | PSYCHOLOGICAL MEDICINE Artículos CONICYT CONICYT Chile instacron:CONICYT Psychological Medicine, 41(10), 2075-2088. Cambridge University Press |
| ISSN: | 0033-2917 |
| Popis: | BackgroundThe different incidence rates of, and risk factors for, depression in different countries argue for the need to have a specific risk algorithm for each country or a supranational risk algorithm. We aimed to develop and validate a predictD-Spain risk algorithm (PSRA) for the onset of major depression and to compare the performance of the PSRA with the predictD-Europe risk algorithm (PERA) in Spanish primary care.MethodA prospective cohort study with evaluations at baseline, 6 and 12 months. We measured 39 known risk factors and used multi-level logistic regression and inverse probability weighting to build the PSRA. In Spain (4574), Chile (2133) and another five European countries (5184), 11 891 non-depressed adult primary care attendees formed our at-risk population. The main outcome was DSM-IV major depression (CIDI).ResultsSix variables were patient characteristics or past events (sex, age, sex×age interaction, education, physical child abuse, and lifetime depression) and six were current status [Short Form 12 (SF-12) physical score, SF-12 mental score, dissatisfaction with unpaid work, number of serious problems in very close persons, dissatisfaction with living together at home, and taking medication for stress, anxiety or depression]. The C-index of the PSRA was 0.82 [95% confidence interval (CI) 0.79–0.84]. The Integrated Discrimination Improvement (IDI) was 0.0558 [standard error (s.e.)=0.0071, Zexp=7.88, pConclusionsThe PSRA included new variables and afforded an improved performance over the PERA for predicting the onset of major depression in Spain. However, the PERA is still the best option in other European countries. |
| Databáze: | OpenAIRE |
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