Predicting Depression in Primary Health Care
Author Information
Author(s): Bellón Juan Ángel, Moreno-Küstner Berta, Torres-González Francisco, Montón-Franco Carmen, GildeGómez-Barragán María Josefa, Sánchez-Celaya Marta, Díaz-Barreiros Miguel Ángel, Vicens Catalina, de Dios Luna Juan, Cervilla Jorge A, Gutierrez Blanca, Martínez-Cañavate María Teresa, Oliván-Blázquez Bárbara, Vázquez-Medrano Ana, Sánchez-Artiaga María Soledad, March Sebastia, Motrico Emma, Ruiz-García Victor Manuel, Brangier-Wainberg Paulette Renée, del Mar Muñoz-García María, Nazareth Irwin, King Michael
Primary Institution: Universidad de Málaga
Hypothesis
Can comprehensive models be developed to predict the onset and persistence of episodes of depression in primary care?
Conclusion
The study found that the items and questionnaires used were reliable, and data quality control was excellent.
Supporting Evidence
- The study recruited a systematic random sample of general practice attendees aged 18 to 75.
- Depression was measured using the CIDI at multiple follow-up points.
- Reliability of questionnaires was evaluated with good test-retest reliability for most items.
Takeaway
This study is trying to figure out how to predict if someone will get depressed or stay depressed by looking at different factors in their life.
Methodology
A prospective cohort study with a systematic random sample of general practice attendees aged 18 to 75, followed up at 6, 12, 24, and 36 months.
Potential Biases
Potential biases may arise from self-reported data and the methods of questionnaire administration.
Limitations
The study may have limitations in distinguishing between the effects of risk factors on the onset and course of depression.
Participant Demographics
Participants were general practice attendees aged 18 to 75 from seven Spanish provinces.
Statistical Information
Confidence Interval
95% CI, 10.2–11.8
Digital Object Identifier (DOI)
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