In Spain, “Predict” risk calculators or algorithms predict the occurrence in a certain person of a major depressive episode, an anxiety disorder (generalized anxiety, panic attacks or nonspecific anxiety disorder) and/or at-risk alcohol consumption in next year1,2,3.
Validation studies of the "Predict" risk algorithms have been carried out in other European countries (UK, Holland, Portugal, Estonia and Slovenia) and Chile 4,5,6,7. There is also a risk algorithm for depression validated in the United States8,9 and another Australia10, in the latter case for the quality of mental life in general and only for the working population.
The validation studies of the risk calculators included in "predictplusprevent" have been carried out specifically in a healthy Spanish population, who during the follow-up throughout one year did or did not develop these health problems1,2,3
The Spanish risk algorithms for depression (predictD), anxiety (predictA) and at-risk alcohol consumption (predictAL) have shown good discriminant validity and calibration1,2,3, , similar or even slightly better than risk algorithms for predicting cardiovascular diseases (for example, Framingham or Score algorithms).
Below we will briefly describe the Predict validation studies in Spain:
1. Bellón et al. Predicting the onset of major depression in primary care: international validation of a risk prediction algorithm from Spain. Psychological Medicine; 2011, 41(10):2075-2088.
2. Moreno-Peral et al. Predicting the onset of anxiety syndromes at 12 months in primary care attendees. The predictA-Spain study. PloS one. 2014; 9(9):e106370.
3. Bellón JA et al. Predicting the onset of hazardous alcohol drinking in primary care: development and validation of a simple risk algorithm. The British Journal of General Practice. 2017. 67(657): e280-e292.
4. King M et al. Development and validation of an international risk prediction algorithm for episodes of major depression in general practice attendees: the PredictD study. Arch Gen Psychiatry. 2008 Dec;65(12):1368-76
5. King M et al. An international risk prediction algorithm for the onset of generalized anxiety and panic syndromes in general practice attendees: predictA. Psychol Med. 2011 Aug;41(8):1625-39
6. King M et al. Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees: the predictAL study. PLoS One. 2011;6(8):e22175.
7. Saldivia S Development of an algorithm to predict the incidence of major depression among primary care consultants. Rev Med Chil. 2014 Mar;142(3):323-9.
8. Wang J et al. A prediction algorithm for first onset of major depression in the general population: development and validation. J Epidemiol Community Health. 2014;68:418-24.
9. Nigatu YT et al. External validation of the international risk prediction algorithm for major depressive episode in the US general population: the PredictD-US study. BMC Psychiatry. 2016 Jul 22;16:256..
10. Fernández A et al. Development and validation of a prediction algorithm for the onset of common mental disorders in a working population. Aust N Z J Psychiatry. 2017
11. Bellón JA et al. Preventing the onset of major depression based on the level and profile of risk of primary care attendees: protocol of a cluster randomised trial (the predictD-CCRT study). BMC Psychiatry. 2013 Jun 19;13:171.
12. Bellón JA et al. Intervention to Prevent Major Depression in Primary Care: A Cluster Randomized Trial. Ann Intern Med. 2016 May 17;164(10):656-65
The website also tries to explain the probability of risk with the analogy of a lottery and the number of tickets that each person has. It is also reported that at present the individual does not suffer from depression, anxiety and/or at risk alcohol consumption and that, therefore, at this time, he/she is not a sick person with regard to these health problems, and that he/she is possibly not sick because he/she is already doing things that prevent depression, anxiety and/or at-risk alcohol consumption that are working for him/her.
Finally, users of the "predictplusprevent" website are referred to the tab named “PREVENTION”, which briefly explains those activities and programs that have shown scientific evidence of their effectiveness in preventing these problems. Users are also provided with a series of self-help booklets related to these preventive programs.
If any user, in addition to consulting the “PREVENCIÓN”, tab, decides to consult with their primary care professional, perhaps he/she will do so only to clarify information about prediction or prevention. In this case, our recommendation would be to actively listen to the patient, detect his/her doubts and clarify them if necessary.
If you consider that your patient also expects support or advice from you, we summarize the following recommendations that have been already tested in a depression and anxiety prevention trial with 3,326 Spanish primary care consultants11,12 (an example can be seen in a 5-minute video)