Literature DB >> 11176732

The electronic medical record. A randomized trial of its impact on primary care physicians' initial management of major depression [corrected].

B L Rollman1, B H Hanusa, T Gilbert, H J Lowe, W N Kapoor, H C Schulberg.   

Abstract

BACKGROUND: Inadequate treatments are reported for depressed patients cared for by primary care physicians (PCPs). Providing feedback and evidence-based treatment recommendations for depression to PCPs via electronic medical record improves the quality of interventions.
METHODS: Patients presenting to an urban academically affiliated primary care practice were screened for major depression with the Primary Care Evaluation of Mental Disorders (PRIME-MD). During 20-month period, 212 patients met protocol-eligibility criteria and completed a baseline interview. They were cared for by 16 board-certified internists, who were electronically informed of their patients' diagnoses, and randomized to 1 of 3 methods of exposure to guideline-based advice for treating depression (active, passive, and usual care). Ensuing treatment patterns were assessed by medical chart review and by patient self-report at baseline and 3 months.
RESULTS: Median time for PCP response to the electronic message regarding the patient's depression diagnosis was 1 day (range, 1-95 days). Three days after notification, 120 (65%) of 186 PCP responses indicated agreement with the diagnosis, 24 (13%) indicated disagreement, and 42 (23%) indicated uncertainty. Primary care physicians who agreed with the diagnoses sooner were more likely to make a medical chart notation of depression, begin antidepressant medication therapy, or refer to a mental health specialist (P<.001). There were no differences in the agreement rate or treatments provided across guideline exposure conditions.
CONCLUSIONS: Electronic feedback of the diagnosis of major depression can affect PCP initial management of the disorder. Further study is necessary to determine whether this strategy, combined with delivery of treatment recommendations, can improve clinical outcomes in routine practice.

Entities:  

Mesh:

Year:  2001        PMID: 11176732     DOI: 10.1001/archinte.161.2.189

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  23 in total

Review 1.  Improving the detection and management of depression in primary care.

Authors:  S M Gilbody; P M Whitty; J M Grimshaw; R E Thomas
Journal:  Qual Saf Health Care       Date:  2003-04

2.  Moving medical advances from prototype into practice.

Authors:  Bruce L Rollman
Journal:  J Gen Intern Med       Date:  2010-07       Impact factor: 5.128

3.  Translating evidence-based depression management services to community-based primary care practices.

Authors:  Amy M Kilbourne; Herbert C Schulberg; Edward P Post; Bruce L Rollman; Bea Herbeck Belnap; Harold Alan Pincus
Journal:  Milbank Q       Date:  2004       Impact factor: 4.911

4.  Evaluating the state-of-the-art in automatic de-identification.

Authors:  Ozlem Uzuner; Yuan Luo; Peter Szolovits
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

5.  Electronic result viewing and quality of care in small group practices.

Authors:  Lisa M Kern; Yolanda Barrón; A John Blair; Jerry Salkowe; Deborah Chambers; Mark A Callahan; Rainu Kaushal
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

6.  Predictors of primary care management of depression in the Veterans Affairs healthcare system.

Authors:  Evelyn T Chang; Jennifer L Magnabosco; Edmund Chaney; Andrew Lanto; Barbara Simon; Elizabeth M Yano; Lisa V Rubenstein
Journal:  J Gen Intern Med       Date:  2014-02-25       Impact factor: 5.128

7.  A retrospective analysis of interruptive versus non-interruptive clinical decision support for identification of patients needing contact isolation.

Authors:  J M Pevnick; X Li; J Grein; D S Bell; P Silka
Journal:  Appl Clin Inform       Date:  2013-12-04       Impact factor: 2.342

8.  Treating late-life generalized anxiety disorder in primary care: an effectiveness pilot study.

Authors:  Jessica S Calleo; Amber L Bush; Jeffrey A Cully; Nancy L Wilson; Cynthia Kraus-Schuman; Howard M Rhoades; Diane M Novy; Nicholas Masozera; Susan Williams; Matthew Horsfield; Mark E Kunik; Melinda A Stanley
Journal:  J Nerv Ment Dis       Date:  2013-05       Impact factor: 2.254

9.  The Bypassing the Blues treatment protocol: stepped collaborative care for treating post-CABG depression.

Authors:  Bruce L Rollman; Bea Herbeck Belnap; Michelle S LeMenager; Sati Mazumdar; Herbert C Schulberg; Charles F Reynolds
Journal:  Psychosom Med       Date:  2009-02-02       Impact factor: 4.312

10.  A randomized trial using computerized decision support to improve treatment of major depression in primary care.

Authors:  Bruce L Rollman; Barbara H Hanusa; Henry J Lowe; Trae Gilbert; Wishwa N Kapoor; Herbert C Schulberg
Journal:  J Gen Intern Med       Date:  2002-07       Impact factor: 5.128

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