Trends in prevalence of mental health problems in primary care: an electronic health record study
PHE ePoster Library. Barnett L. Sep 12, 2017; 186580; 95
Ms. Lauren Barnett
Ms. Lauren Barnett
Login now to access Regular content available to all registered users.

You may also access this content "anytime, anywhere" with the Free MULTILEARNING App for iOS and Android
Abstract
Rate & Comment (0)
Abstract IntroductionMental health problems are common in the general population but less is known about how commonly they are presented in primary care and how this has changed over time. The objective was to determine the feasibility of assessing trends in prevalence of mental health problems using routinely recorded electronic health record (EHR) data.MethodsThis study was set within the Consultations in Primary Care Archive (CiPCA), a database of pseudo-anonymised routinely-recorded information from nine general practices in North Staffordshire, UK (2015 registered population: 92,396). Definitions of depression, anxiety, perinatal mental problems, neurosis, addiction (alcohol or drug), stress, fatigue, psychosis/schizophrenia, and dementia which could be applied to primary care data were determined through consensus of clinical and EHR research experts. Annual consultation prevalences from 2004-2015 were determined.ResultsAnnual consultation prevalences in 2015 were highest for depression (645 per 10,000) and anxiety (426 per 10,000). Prevalence of most mental health problems remained stable over time, although there was a steady increase in the prevalence of dementia. Consultations for anxiety, depression, stress, neurosis, and fatigue were more common in women, and peaked at age 20-40 years. The prevalences of recorded alcohol and drug addiction were highest in men aged 20-40.ConclusionsMental health problems are important for population health and a major part of primary health care workload. Younger working age adults are most likely to present with mental health problems. This study highlights the feasibility and value of routine EHR data for surveillance of mental health conditions. External funding details LAB is funded by an NIHR Research Methods Fellowship
    This eLearning portal is powered by:
    This eLearning portal is powered by MULTIEPORTAL
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.


Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.


Save Settings