4.2 Article

Behavioural biomarkers and mobile mental health: a new paradigm

期刊

出版社

SPRINGEROPEN
DOI: 10.1186/s40345-018-0119-7

关键词

Biomarkers; Digital markers; mHealth; Smartphones; Psychiatry

资金

  1. Spanish Ministry of Economy and Competitiveness [PI14/00286, PI15/00588, PI12/0091, PI 12/00910]
  2. Instituto de Salud Carlos III, Subdireccion General de Evaluacion y Fomento de la Investigacion
  3. Fondo Europeo de Desarrollo Regional
  4. Instituto de Salud Carlos III [CM15/00127]
  5. Instituto de Salud Carlos III through the Centro para la Investigacion Biomedica en Red de Salud Mental (CIBERSAM)
  6. Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement [2014_SGR_398]
  7. Spanish Ministry of Economy and Competitiveness, Instituto de Salud Carlos III, through a Miguel Servet II postdoctoral contract
  8. National Institute for Health Research (NIHR) Biomedical Research Centre at South London
  9. Maudsley NHS Foundation Trust
  10. King's College London

向作者/读者索取更多资源

Over recent decades, the field of psychiatry has allocated a vast amount of resources and efforts to make available more accurate and objective methods to diagnose, assess and monitor treatment outcomes in psychiatric disorders. Despite the optimism and some significant progress in biological markers, it has become increasingly evident that they are failing to meet initial expectations due to their lack of specificity, inconsistent reliability and limited availability. On the other hand, there is an increasingly emerging evidence of mobile technologies' feasibility to measure mental illness activity. Moreover, taking into account its widespread use, availability and potential to capture behavioural markers, mobile-connected technologies could be strong candidates to fill and complement-at least at some degree-the gaps that biological markers couldn't. This represents an especially interesting opportunity to reform our current diagnostic system using a bottom-up research methodology based on digital and biological markers data instead of the classical traditional top-down approach. Therefore, the field might benefit of further exploring this promising -and increasingly evidence-based-pathway as well as other auspicious alternatives in order to attain a more holistic and integrative approach in research, which could ultimately impact real-world clinical practice.

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