Using electronic medical records to determine prevalence and treatment of mental disorders in primary care: a database study

Author:

Gleeson M.,Hannigan A.,Jamali R.,Su Lin K.,Klimas J.,Mannix M.,Nathan Y.,O’Connor R.,O’Gorman C.,Dunne C.,Meagher D.,Cullen W.

Abstract

ObjectivesWith prevention and treatment of mental disorders a challenge for primary care and increasing capability of electronic medical records (EMRs) to facilitate research in practice, we aim to determine the prevalence and treatment of mental disorders by using routinely collected clinical data contained in EMRs.MethodsWe reviewed EMRs of patients randomly sampled from seven general practices, by piloting a study instrument and extracting data on mental disorders and their treatment.ResultsData were collected on 690 patients (age range 18–95, 52% male, 52% GMS-eligible). A mental disorder (most commonly anxiety/stress, depression and problem alcohol use) was recorded in the clinical records of 139 (20%) during the 2-year study period. While most patients with the common disorders had been prescribed medication (i.e. antidepressants or benzodiazepines), a minority had been referred to other agencies or received psychological interventions. ‘Free text’ consultation notes and ‘prescriptions’ were how most patients with disorders were identified. Diagnostic coding alone would have failed to identify 92% of patients with a disorder.ConclusionsAlthough mental disorders are common in general practice, this study suggests their formal diagnosis, disease coding and access to psychological treatments are priorities for future research efforts.

Publisher

Cambridge University Press (CUP)

Subject

History and Philosophy of Science,Psychiatry and Mental health,Applied Psychology

Reference54 articles.

1. What factors affect the use of electronic patient records by Irish GPs?

2. Prevalence of distress in general practitioner adult attendees;Hughes;Clinical Psychology Forum,2010

3. Health Information & Quality Authority (2012). National Standards for Safer Better Healthcare. Health Information & Quality Authority: Dublin.

4. Routinely collected general practice data: goldmines for research? A report of the European Federation for Medical Informatics Primary Care Informatics Working Group (EFMI PCIWG) from MIE2006, Maastricht, The Netherlands;De Lusignan;Informatics in Primary Care,2006

5. Diagnostic overlap of depressive, anxiety, stress and somatoform disorders in primary care

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