Background: The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. Methods: A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socio-economic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities. Results: The results showed that patients generally welcomed knowing their r...
Background: The ''predictD algorithm'' provides an estimate of the level and profile of risk of the ...
The predictD intervention, a multicomponent intervention delivered by family physicians (FPs), reduc...
BACKGROUND: PredictD is a risk algorithm that was developed to predict risk of onset of major depres...
[Background] The predictD study developed and validated a risk algorithm for predicting the onset...
The predictD study developed and validated a risk algorithm for predicting the onset of major depres...
Background The predictD intervention, a multicomponent intervention delivered by family physicians (...
Background Prevention of depression must address multiple risk factors. Estimating overall risk acr...
Background: Prevention of depression must address multiple risk factors. Estimating overall risk acr...
The effects of putative risk factors on the onset and/or persistence of depression remain unclear. W...
Context: Strategies for prevention of depression are hindered by lack of evidence about the combined...
Background: There are no valid risk assessment tools for the prediction of future episodes of major ...
Context: Strategies for prevention of depression are hindered by lack of evidence about the combined...
CONTEXT: Strategies for prevention of depression are hindered by lack of evidence about the combined...
Background: The ''predictD algorithm'' provides an estimate of the level and profile of risk of the ...
The predictD intervention, a multicomponent intervention delivered by family physicians (FPs), reduc...
BACKGROUND: PredictD is a risk algorithm that was developed to predict risk of onset of major depres...
[Background] The predictD study developed and validated a risk algorithm for predicting the onset...
The predictD study developed and validated a risk algorithm for predicting the onset of major depres...
Background The predictD intervention, a multicomponent intervention delivered by family physicians (...
Background Prevention of depression must address multiple risk factors. Estimating overall risk acr...
Background: Prevention of depression must address multiple risk factors. Estimating overall risk acr...
The effects of putative risk factors on the onset and/or persistence of depression remain unclear. W...
Context: Strategies for prevention of depression are hindered by lack of evidence about the combined...
Background: There are no valid risk assessment tools for the prediction of future episodes of major ...
Context: Strategies for prevention of depression are hindered by lack of evidence about the combined...
CONTEXT: Strategies for prevention of depression are hindered by lack of evidence about the combined...
Background: The ''predictD algorithm'' provides an estimate of the level and profile of risk of the ...
The predictD intervention, a multicomponent intervention delivered by family physicians (FPs), reduc...
BACKGROUND: PredictD is a risk algorithm that was developed to predict risk of onset of major depres...