Literature DB >> 18724571

Management of depression in ambulatory care for patients with medical co-morbidities: a study from a national Electronic Health Record (EHR) network.

James M Gill1, Ying Xia Chen, Michael I Lieberman.   

Abstract

OBJECTIVE: Since co-morbid depression can complicate medical conditions such as cardiovascular disease and cancer, physicians may treat depression more aggressively in patients with these conditions. This study compared antidepressant medication use in persons with and without medical co-morbidities.
METHODS: This cross-sectional study was conducted in a national network of outpatient electronic medical record users. Participants included active adult patients with an active diagnosis of depression as of 11/30/05 (the "prevalent" population, 185,029 patients) or a new episode of depression during the one-year period 12/1/03-11/30/04 (the "incident" population, 29,768 patients). For each population, four co-morbid conditions were defined--diabetes, coronary heart disease (CHD), stroke, and cancer. Prescription of antidepressant medication was compared for persons with and without each medical condition.
RESULTS: The most common medical condition was diabetes, with cancer being the least common (7.6% and 2.4% of the prevalent population). Overall, 69.6% of the prevalent population and 76.1% of the incident population were treated with antidepressant medications. For the prevalent population, treatment was significantly more likely for patients with diabetes (OR 1.07, 95% CI 1.03-1.11) but significantly less likely for patients with CHD (OR 0.94 95% CI 0.90-0.99), after controlling for differences in age and gender. For the incident population, treatment was significantly more likely for persons with diabetes (OR 1.14, 95% CI 1.04-1.26), CHD (OR 1.23 95% CI 1.08-1.39), and stroke (OR 1.21, 95% CI 1.04-1.42).
CONCLUSIONS: Antidepressant medication use was somewhat higher in persons with medical co-morbidities, although these differences were small and inconsistent.

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Year:  2008        PMID: 18724571     DOI: 10.2190/PM.38.2.g

Source DB:  PubMed          Journal:  Int J Psychiatry Med        ISSN: 0091-2174            Impact factor:   1.210


  5 in total

1.  Using electronic medical records to determine the diagnosis of clinical depression.

Authors:  Nhi-Ha T Trinh; Soo Jeong Youn; Jessica Sousa; Susan Regan; C Andres Bedoya; Trina E Chang; Maurizio Fava; Albert Yeung
Journal:  Int J Med Inform       Date:  2011-04-22       Impact factor: 4.046

2.  Impact of EHR-based clinical decision support on adherence to guidelines for patients on NSAIDs: a randomized controlled trial.

Authors:  James M Gill; Arch G Mainous; Richelle J Koopman; Marty S Player; Charles J Everett; Ying Xia Chen; James J Diamond; Michael I Lieberman
Journal:  Ann Fam Med       Date:  2011 Jan-Feb       Impact factor: 5.166

Review 3.  Multi-drug therapy in chronic condition multimorbidity: a systematic review.

Authors:  Lucy Doos; Eyitope O Roberts; Nadia Corp; Umesh T Kadam
Journal:  Fam Pract       Date:  2014-09-05       Impact factor: 2.267

4.  Defining Major Depressive Disorder Cohorts Using the EHR: Multiple Phenotypes Based on ICD-9 Codes and Medication Orders.

Authors:  Wendy Marie Ingram; Anna M Baker; Christopher R Bauer; Jason P Brown; Fernando S Goes; Sharon Larson; Peter P Zandi
Journal:  Neurol Psychiatry Brain Res       Date:  2020-02-21

5.  Depression, Comorbidities, and Prescriptions of Antidepressants in a German Network of GPs and Specialists with Subspecialisation in Anthroposophic Medicine: A Longitudinal Observational Study.

Authors:  Elke Jeschke; Thomas Ostermann; Horst C Vollmar; Manuela Tabali; Harald Matthes
Journal:  Evid Based Complement Alternat Med       Date:  2012-12-06       Impact factor: 2.629

  5 in total

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