Use of automated databases for pharmacoepidemiology research, Epidemiol Rev, vol.12, pp.87-107, 1990. ,
Impact of treatment success on health service use and cost in depression: longitudinal database analysis, Pharmacoeconomics, vol.29, issue.2, pp.157-170, 2011. ,
Clinical validity of a population database definition of remission in patients with major depression, BMC Public Health, vol.10, p.64, 2010. ,
Achieving remission in major depressive disorder: the first step to long-term recovery, J Am Osteopath Assoc, vol.104, issue.3, pp.6-10, 2004. ,
Creating an index to measure health state of depressed patients in automated healthcare databases: the methodology, J Mark Access Health Policy, vol.5, issue.1, p.1372025, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01696793
Use of the UK general practice research database for pharmacoepidemiology, Br J Clin Pharmacol, vol.45, issue.5, pp.419-425, 1998. ,
Validation and validity of diagnoses in the general practice research database: a systematic review, Br J Clin Pharmacol, vol.69, issue.1, pp.4-14, 2010. ,
Validation of information recorded on general practitioner based computerised data resource in the UK, BMJ, vol.302, issue.6779, pp.766-768, 1991. ,
Conceptualization and rationale for consensus definitions of terms in major depressive disorder. Remission, recovery, relapse, and recurrence, Arch Gen Psychiatry, vol.48, issue.9, pp.851-855, 1991. ,
The PHQ-9: validity of a brief depression severity measure, J Gen Intern Med, vol.16, issue.9, pp.606-613, 2001. ,
Statistical power analysis for the behavioral sciences, 1977. ,
Course and outcomes of depression in the elderly, Curr Psychiatry Rep, vol.8, issue.1, pp.34-40, 2006. ,
Depression in late life: review and commentary, J Gerontol A Biol Sci Med Sci, vol.58, issue.3, pp.249-265, 2003. ,
, NICE (National Institute for Health and Clinical Excellence), 2018.