Skip to main content
Top
Published in: Journal of General Internal Medicine 8/2012

01-08-2012 | Original Research

Electronic Medical Record Availability and Primary Care Depression Treatment

Authors: Jeffrey S. Harman, PhD, Kathryn M. Rost, PhD, Christopher A. Harle, PhD, Robert L. Cook, MD, MPH

Published in: Journal of General Internal Medicine | Issue 8/2012

Login to get access

ABSTRACT

Background

Electronic medical records (EMR) are commonly believed to improve quality of care. Primary care patients with multiple chronic conditions have potentially greater opportunity to benefit from receiving care at practices with EMRs if these systems help coordinate complex care.

Objective

To examine how chronic conditions impact the odds that depressed patients receive depression treatment in primary care practices with EMRs compared to practices without EMRs.

Design

The study uses logistic regression to analyze cross-sectional data of primary care physician office visits in freestanding, office-based practices from the 2006–2008 National Ambulatory Medical Care Surveys.

Patients

All visits to primary care providers made by patients ages 18 and older with physician-identified depression (N = 3,467).

Main Measures

Outcomes include depression treatment which is defined as receipt or ordering of antidepressant medication and/or mental health counseling.

Key Results

EMRs were associated with significantly lowered odds that depressed patients received depression treatment (OR = 0.75, p = 0.009, 95% CI: 0.61-0.93); however when stratified by the number of chronic conditions, this association was observed only in patients with three or more chronic conditions (OR = 0.50, p > 0.001, 95% CI: 0.36-0.70). EMRs did not have a significant association with depression treatment for patients with two or fewer chronic conditions.

Conclusions

EMRs appear to have an unintended negative association with depression care provided during visits made by primary care patients with multiple chronic conditions.
Literature
1.
go back to reference Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289(23):3095–3105.PubMedCrossRef Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289(23):3095–3105.PubMedCrossRef
2.
go back to reference U.S. Department of Health and Human Services. Mental Health : A Report of the Surgeon General. Rockville, MD: U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, National Institutes of Health, National Institutes of Mental Health.;1999. U.S. Department of Health and Human Services. Mental Health : A Report of the Surgeon General. Rockville, MD: U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, National Institutes of Health, National Institutes of Mental Health.;1999.
3.
go back to reference Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289(23):3095–3105.PubMedCrossRef Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289(23):3095–3105.PubMedCrossRef
4.
go back to reference Wang PS, Lane M, Olfson M, Pincus HA, Wells KB, Kessler RC. Twelve-month use of mental health services in the United States: Results from the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:629–640.PubMedCrossRef Wang PS, Lane M, Olfson M, Pincus HA, Wells KB, Kessler RC. Twelve-month use of mental health services in the United States: Results from the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:629–640.PubMedCrossRef
5.
go back to reference Marcus SC, Olfson M. National Trends in the Treatment for Depression From 1998 to 2007. Arch Gen Psychiatry. 2010;67(12):1265–1273.PubMedCrossRef Marcus SC, Olfson M. National Trends in the Treatment for Depression From 1998 to 2007. Arch Gen Psychiatry. 2010;67(12):1265–1273.PubMedCrossRef
6.
go back to reference Wang PS, Demler O, Olfson M, Pincus HA, Wells KB, Kessler RC. Changing profiles of service sectors used for mental health care in the United States. Am J Psychiatry. 2006;163(7):1187–1198.PubMedCrossRef Wang PS, Demler O, Olfson M, Pincus HA, Wells KB, Kessler RC. Changing profiles of service sectors used for mental health care in the United States. Am J Psychiatry. 2006;163(7):1187–1198.PubMedCrossRef
7.
go back to reference Pincus HA, Tanielian TL, Marcus SC, et al. Prescribing trends in psychotropic medications: primary care, psychiatry, and other medical specialities. JAMA. 1998;279(7):526–531.PubMedCrossRef Pincus HA, Tanielian TL, Marcus SC, et al. Prescribing trends in psychotropic medications: primary care, psychiatry, and other medical specialities. JAMA. 1998;279(7):526–531.PubMedCrossRef
8.
go back to reference Pincus HA, Zarin DA, Tanielian TL, et al. Psychiatric patients and treatments in 1997. Findings from the American psychiatric practice research network. Arch Gen Psychiatry. 1999;56:441–449.PubMedCrossRef Pincus HA, Zarin DA, Tanielian TL, et al. Psychiatric patients and treatments in 1997. Findings from the American psychiatric practice research network. Arch Gen Psychiatry. 1999;56:441–449.PubMedCrossRef
9.
go back to reference Olfson M, Marcus SC, Druss B, Elinson L, Tanielian T, Pincus HA. National trends in the outpatient treatment of depression. JAMA. 2002;287(2):203–209.PubMedCrossRef Olfson M, Marcus SC, Druss B, Elinson L, Tanielian T, Pincus HA. National trends in the outpatient treatment of depression. JAMA. 2002;287(2):203–209.PubMedCrossRef
10.
go back to reference Blumenthal D, Tavenner M. The Meaningful Use Regulation for Electronic Health Records. N Engl J Med. 2010;363(6):501–504.PubMedCrossRef Blumenthal D, Tavenner M. The Meaningful Use Regulation for Electronic Health Records. N Engl J Med. 2010;363(6):501–504.PubMedCrossRef
11.
go back to reference DesRoches CM, Campbell EG, Rao SR, et al. Electronic health records in ambulatory care: a national survey of physicians. N Engl J Med. 2008;359(1):50–60.PubMedCrossRef DesRoches CM, Campbell EG, Rao SR, et al. Electronic health records in ambulatory care: a national survey of physicians. N Engl J Med. 2008;359(1):50–60.PubMedCrossRef
12.
go back to reference Institute of Medicine. Crossing the quality chasm: a new health system for the 21st century. Washington D.C.: National Academy Press; 2001a. Institute of Medicine. Crossing the quality chasm: a new health system for the 21st century. Washington D.C.: National Academy Press; 2001a.
13.
go back to reference Garg AX, Adhikari NKJ, McDonald H, et al. Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes. JAMA. 2005;293(10):1223–1238.PubMedCrossRef Garg AX, Adhikari NKJ, McDonald H, et al. Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes. JAMA. 2005;293(10):1223–1238.PubMedCrossRef
14.
go back to reference Chaudhry B, Wang J, Wu S, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med. 2006;144(10):742–752.PubMed Chaudhry B, Wang J, Wu S, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med. 2006;144(10):742–752.PubMed
15.
go back to reference Linder JA, Ma J, Bates DW, Middleton B, Stafford RS. Electronic health record use and the quality of ambulatory care in the United States. Arch Intern Med. 2007;167(13):1400–1405.PubMedCrossRef Linder JA, Ma J, Bates DW, Middleton B, Stafford RS. Electronic health record use and the quality of ambulatory care in the United States. Arch Intern Med. 2007;167(13):1400–1405.PubMedCrossRef
16.
go back to reference Romano MJ, Stafford RS. Electronic Health Records and Clinical Decision Support Systems: Impact on National Ambulatory Care Quality. Arch Intern Med. Forthcoming:archinternmed.2010.2527. Romano MJ, Stafford RS. Electronic Health Records and Clinical Decision Support Systems: Impact on National Ambulatory Care Quality. Arch Intern Med. Forthcoming:archinternmed.2010.2527.
17.
go back to reference Ash JS, Berg M, Coiera E. Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. J Am Med Inform Assoc. 2004;11(2):104–112.PubMedCrossRef Ash JS, Berg M, Coiera E. Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. J Am Med Inform Assoc. 2004;11(2):104–112.PubMedCrossRef
18.
go back to reference Campbell EM, Sittig DF, Ash JS, Guappone KP, Dykstra RH. Types of unintended consequences related to computerized provider order entry. J Am Med Inform Assoc. 2006;13(5):547–556.PubMedCrossRef Campbell EM, Sittig DF, Ash JS, Guappone KP, Dykstra RH. Types of unintended consequences related to computerized provider order entry. J Am Med Inform Assoc. 2006;13(5):547–556.PubMedCrossRef
19.
go back to reference Harrison MI, Koppel R, Bar-Lev S. Unintended consequences of information technologies in health care–an interactive sociotechnical analysis. J Am Med Inform Assoc. 2007;14(5):542–549.PubMedCrossRef Harrison MI, Koppel R, Bar-Lev S. Unintended consequences of information technologies in health care–an interactive sociotechnical analysis. J Am Med Inform Assoc. 2007;14(5):542–549.PubMedCrossRef
20.
go back to reference Cherry DK, Woodwell DA, Rechsteiner EA. National ambulatory Medicaid care survey: 2005 summary. Adv Data. 2007;387:1–39.PubMed Cherry DK, Woodwell DA, Rechsteiner EA. National ambulatory Medicaid care survey: 2005 summary. Adv Data. 2007;387:1–39.PubMed
21.
go back to reference Bryant E, Shimizu I. Sample design, sampling variance, and estimation procedures for the National Ambulatory Medical Care Survey. Vital and health statistics Series 2, Data evaluation and methods research 1988 Sep(108): 1-39. Bryant E, Shimizu I. Sample design, sampling variance, and estimation procedures for the National Ambulatory Medical Care Survey. Vital and health statistics Series 2, Data evaluation and methods research 1988 Sep(108): 1-39.
22.
go back to reference StataCorp. Stata Statistical Software: Release 10.0 Special Edition. College Station, TX: Stata Corporation; 2007. StataCorp. Stata Statistical Software: Release 10.0 Special Edition. College Station, TX: Stata Corporation; 2007.
23.
go back to reference Hsu J, Huang J, Fung V, Robertson N, Jimison H, Frankel R. Health information technology and physician-patient interactions: impact of computers on communication during outpatient primary care visits. Journal of the American Medical Informatics Association:. 2005;12(4):474–80.PubMedCrossRef Hsu J, Huang J, Fung V, Robertson N, Jimison H, Frankel R. Health information technology and physician-patient interactions: impact of computers on communication during outpatient primary care visits. Journal of the American Medical Informatics Association:. 2005;12(4):474–80.PubMedCrossRef
24.
go back to reference Makoul G, Curry RH, Tang PC. The use of electronic medical records: communication patterns in outpatient encounters. Journal of the American Medical Informatics Association. 2001;8(6):610–5.PubMedCrossRef Makoul G, Curry RH, Tang PC. The use of electronic medical records: communication patterns in outpatient encounters. Journal of the American Medical Informatics Association. 2001;8(6):610–5.PubMedCrossRef
25.
go back to reference Margalit RS, Roter D, Dunevant MA, Larson S, Reis S. Electronic medical record use and physician-patient communication: an observational study of Israeli primary care encounters. Patient Educ Couns. 2006;61(1):134–41.PubMedCrossRef Margalit RS, Roter D, Dunevant MA, Larson S, Reis S. Electronic medical record use and physician-patient communication: an observational study of Israeli primary care encounters. Patient Educ Couns. 2006;61(1):134–41.PubMedCrossRef
26.
go back to reference Arar NH, Wen L, McGrath J, Steinbach R, Pugh JA. Communicating about medications during primary care outpatient visits: the role of electronic medical records. Inform Prim Care. 2005;13(1):13–22.PubMed Arar NH, Wen L, McGrath J, Steinbach R, Pugh JA. Communicating about medications during primary care outpatient visits: the role of electronic medical records. Inform Prim Care. 2005;13(1):13–22.PubMed
27.
go back to reference Kuo GM, Mullen PD, McQueen A, Swank PR, Rogers JC. Cross-sectional comparison of electronic and paper medical records on medication counseling in primary care clinics: a Southern Primary-Care Urban Research Network (SPUR-Net) study. J Am Board Fam Med. 2007;20(2):164–73.PubMedCrossRef Kuo GM, Mullen PD, McQueen A, Swank PR, Rogers JC. Cross-sectional comparison of electronic and paper medical records on medication counseling in primary care clinics: a Southern Primary-Care Urban Research Network (SPUR-Net) study. J Am Board Fam Med. 2007;20(2):164–73.PubMedCrossRef
28.
go back to reference Booth N, Robinson P, Kohannejad J. Identification of high-quality consultation practice in primary care: the effects of computer use on doctor-patient rapport. Inform Prim Care. 2004;12(2):75–83.PubMed Booth N, Robinson P, Kohannejad J. Identification of high-quality consultation practice in primary care: the effects of computer use on doctor-patient rapport. Inform Prim Care. 2004;12(2):75–83.PubMed
29.
go back to reference Ventres W, Kooienga S, Vuckovic N, Marlin R, Nygren P, Stewart V. Physicians, patients, and the electronic health record: an ethnographic analysis. Ann Fam Med. 2006;4(2):124–31.PubMedCrossRef Ventres W, Kooienga S, Vuckovic N, Marlin R, Nygren P, Stewart V. Physicians, patients, and the electronic health record: an ethnographic analysis. Ann Fam Med. 2006;4(2):124–31.PubMedCrossRef
30.
go back to reference Ash JS, Sittig DF, Dykstra RH, Guappone K, Carpenter JD, Seshadri V. Categorizing the unintended sociotechnical consequences of computerized provider order entry. Int. J. Med. Inf. 2007;76:S21–S27.CrossRef Ash JS, Sittig DF, Dykstra RH, Guappone K, Carpenter JD, Seshadri V. Categorizing the unintended sociotechnical consequences of computerized provider order entry. Int. J. Med. Inf. 2007;76:S21–S27.CrossRef
31.
go back to reference Koppel R, Metlay JP, Cohen A, et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA. 2005;293(10):1197–203.PubMedCrossRef Koppel R, Metlay JP, Cohen A, et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA. 2005;293(10):1197–203.PubMedCrossRef
32.
go back to reference Holden R. Cognitive performance-altering effects of electronic medical records: an application of the human factors paradigm for patient safety. Cognition, Technology & Work. 2011;13(1):11–29.CrossRef Holden R. Cognitive performance-altering effects of electronic medical records: an application of the human factors paradigm for patient safety. Cognition, Technology & Work. 2011;13(1):11–29.CrossRef
Metadata
Title
Electronic Medical Record Availability and Primary Care Depression Treatment
Authors
Jeffrey S. Harman, PhD
Kathryn M. Rost, PhD
Christopher A. Harle, PhD
Robert L. Cook, MD, MPH
Publication date
01-08-2012
Publisher
Springer-Verlag
Published in
Journal of General Internal Medicine / Issue 8/2012
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-012-2001-0

Other articles of this Issue 8/2012

Journal of General Internal Medicine 8/2012 Go to the issue

Healing Arts: Materia Medica

In Harm’s Way

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.