Skip to main content

Advertisement

Log in

Electronic Result Viewing and Quality of Care in Small Group Practices

  • Original Article
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

Abstract

Background

There is a paucity of data on the effectiveness of commercially available electronic systems for improving health care in office practices, where the majority of health care is delivered. In particular, the effect of electronic laboratory result viewing on quality of care, including preventive care, chronic disease management, and patient satisfaction, is unclear.

Objective

To determine whether electronic laboratory result viewing is associated with higher ambulatory care quality.

Methods

We conducted a cross-sectional study of primary care physicians (PCPs) in the Taconic IPA in New York, all of whom have the opportunity to use a free-standing electronic portal for laboratory result viewing. We analyzed 15 quality measures, reflecting preventive care, chronic disease management, and patient satisfaction, which were collected in 2005. Using generalized estimating equations, we determined associations between portal usage and quality, adjusting for adoption of electronic health records and 10 other physician characteristics, including case mix.

Main Results

One-third of physicians (54/168, 32%) used the portal at least once over a 6-month period. Use of the portal was associated with higher quality overall (adjusted odds ratio [OR] 1.25; 95% confidence interval [CI] 1.003, 1.57). In stratified analyses, portal usage was associated with higher quality on those performance measures expected to be impacted by result viewing (adjusted OR 1.34; 95% CI 1.00, 1.81; p = 0.05), but not associated with quality for measures not expected to be impacted by result viewing (adjusted OR 1.03; 95% CI 0.72, 1.48; p = 0.85).

Conclusion

Electronic laboratory result viewing was independently associated with higher ambulatory care quality. Longitudinal studies are needed to confirm this association.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. American Medical Association. Physicians in the United States and Possessions by selected characteristics. Available at: http://www.ama-assn.org/ama1/pub/upload/images/373/internettable.gif. Accessibility verified October 12, 2007.

  2. Jha AK, Ferris TG, Donelan K, et al. How common are electronic health records in the United States? A summary of the evidence. Health Aff (Millwood). 2006;25(6):w496–507.

    Article  Google Scholar 

  3. Poon EG, Gandhi TK, Sequist TD, Murff HJ, Karson AS, Bates DW. “I wish I had seen this test result earlier!”: dissatisfaction with test result management systems in primary care. Arch Intern Med. 2004;164(20):2223–8.

    Article  PubMed  Google Scholar 

  4. Blumenthal D, Glaser JP. Information technology comes to medicine. N Engl J Med. 2007;356(24):2527–34.

    Article  PubMed  CAS  Google Scholar 

  5. Halamka JD. Health information technology: shall we wait for the evidence? Ann Intern Med. 2006;144(10):775–6.

    PubMed  Google Scholar 

  6. Institute of Medicine. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, D.C.: National Academy Press; 2001.

    Google Scholar 

  7. Agency for Healthcare Research and Quality. AHRQ National Resource Center for Health Information Technology. Available at: http://www.healthit.ahrq.gov. Accessibility verified October 11, 2007.

  8. Foundation of Research and Education of American Health Information Management Association. State level health information exchange initiative development workbook: a guide to key issues, options and strategies. Chicago; 2006. Available at: http://www.staterhio.org. Accessibility verified October 12, 2007.

  9. Avalere Health LLC. Evolution of state health information exchange: a study of vision, strategy and progress (AHRQ publication No. 06-0057). Rockville, MD: Agency for Healthcare Research and Quality; 2006.

    Google Scholar 

  10. New York State Department of Health. Health Information Technology Grants - HEAL NY Phase 1. Available at: http://www.health.state.ny.us/technology/awards. Accessibility verified October 12, 2007.

  11. Simon SR, Kaushal R, Cleary PD, et al. Correlates of electronic health record adoption in office practices: a statewide survey. J Am Med Inform Assoc. 2007;14(1):110–7.

    Article  PubMed  Google Scholar 

  12. 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):742–52.

    PubMed  Google Scholar 

  13. Bates DW, Kuperman GJ, Rittenberg E, et al. A randomized trial of a computer-based intervention to reduce utilization of redundant laboratory tests. Am J Med. 1999;106(2):144–50.

    Article  PubMed  CAS  Google Scholar 

  14. Kuperman GJ, Teich JM, Tanasijevic MJ, et al. Improving response to critical laboratory results with automation: results of a randomized controlled trial. J Am Med Inform Assoc. 1999;6(6):512–22.

    PubMed  CAS  Google Scholar 

  15. Stair TO. Reduction of redundant laboratory orders by access to computerized patient records. J Emerg Med. 1998;16(6):895–7.

    Article  PubMed  CAS  Google Scholar 

  16. Tierney WM, McDonald CJ, Martin DK, Rogers MP. Computerized display of past test results: effect on outpatient testing. Ann Intern Med. 1987;107(4):569–74.

    PubMed  CAS  Google Scholar 

  17. Garr DR, Ornstein SM, Jenkins RG, Zemp LD. The effect of routine use of computer-generated preventive reminders in a clinical practice. Am J Prev Med. 1993;9(1):55–61.

    PubMed  CAS  Google Scholar 

  18. Litzelman DK, Dittus RS, Miller ME, Tierney WM. Requiring physicians to respond to computerized reminders improves their compliance with preventive care protocols. J Gen Intern Med. 1993;8(6):311–7.

    Article  PubMed  CAS  Google Scholar 

  19. McDonald CJ, Hui SL, Smith DM, et al. Reminders to physicians from an introspective computer medical record: a two-year randomized trial. Ann Intern Med. 1984;100(1):130–8.

    PubMed  CAS  Google Scholar 

  20. McDonald CJ, Hui SL, Tierney WM. Effects of computer reminders for influenza vaccination on morbidity during influenza epidemics. MD Comput. 1992;9(5):304–12.

    PubMed  CAS  Google Scholar 

  21. Ornstein SM, Garr DR, Jenkins RG, Musham C, Hamadeh G, Lancaster C. Implementation and evaluation of a computer-based preventive services system. Fam Med. 1995;27:260–6.

    PubMed  CAS  Google Scholar 

  22. Tierney WM, Hui SL, McDonald CJ. Delayed feedback of physician performance versus immediate reminders to perform preventive care: effects on physician compliance. Med Care. 1986;24(8):659–66.

    Article  PubMed  CAS  Google Scholar 

  23. Demakis JG, Beauchamp C, Cull WL, Denwood R, Eisen SA, Lofgren R, et al. Improving residents' compliance with standards of ambulatory care: results from the VA Cooperative Study on Computerized Reminders. JAMA. 2000;284(11):1411–6.

    Article  PubMed  CAS  Google Scholar 

  24. Rollman BL, Hanusa BH, Gilbert T, Lowe HJ, Kapoor WN, Schulberg HC. The electronic medical record: a randomized trial of its impact on primary care physicians' initial management of major depression. Arch Intern Med. 2001;161(2):189–97.

    Article  PubMed  CAS  Google Scholar 

  25. Rollman BL, Hanusa BH, Lowe HJ, Gilbert T, Kapoor WN, Schulberg HC. A randomized trial using computerized decision support to improve treatment of major depression in primary care. J Gen Intern Med. 2002;17(7):493–503.

    Article  PubMed  Google Scholar 

  26. Rossi RA, Every NR. A computerized intervention to decrease the use of calcium channel blockers in hypertension. J Gen Intern Med. 1997;12(11):672–8.

    Article  PubMed  CAS  Google Scholar 

  27. Safran C, Rind DM, Davis RB, et al. Guidelines for management of HIV infection with computer-based patient’s record. Lancet. 1995;346(8971):341–6.

    Article  PubMed  CAS  Google Scholar 

  28. Simon GE, VonKorff M, Rutter C, Wagner E. Randomised trial of monitoring, feedback, and management of care by telephone to improve treatment of depression in primary care. BMJ. 2000;320(7234):550–4.

    Article  PubMed  CAS  Google Scholar 

  29. U.S. News & World Report. Best health plans 2006. Available at: http://www.usnews.com/usnews/health/best-health-insurance/Commercial/dir_242.htm. Accessibility verified October 12, 2007.

  30. DxCG. Available at: http://www.dxcg.com. Accessibility verified October 12, 2007.

  31. Ash AS, Ellis RP, Pope GC, et al. Using diagnoses to describe populations and predict costs. Health Care Financ Rev. 2000;21(3):7–28.

    PubMed  CAS  Google Scholar 

  32. Berwick DM. Disseminating innovations in health care. JAMA. 2003;289(15):1969–75.

    Article  PubMed  Google Scholar 

  33. Rogers EM. Innovativeness and adopter categories. In: Diffusion of Innovations, 5th ed. New York: Free Press; 2003:267–99.

    Google Scholar 

  34. Wiest FC, Ferris TG, Gokhale M. Preparedness of internal medicine and family practice residents for treating common conditions. JAMA. 2002;288(20):2609–14.

    Article  PubMed  Google Scholar 

  35. Sharp LK, Bashook PG, Lipsky MS, Horowitz SD, Miller SH. Specialty board certification and clinical outcomes: the missing link. Acad Med. 2002;77(6):534–42.

    Article  PubMed  Google Scholar 

  36. McGlynn EA, Asch SM, Adams J, et al. The quality of health care delivered to adults in the United States. N Engl J Med. 2003;348(26):2635–45.

    Article  PubMed  Google Scholar 

  37. Saaddine JB, Cadwell B, Gregg EW, et al. Improvements in diabetes processes of care and intermediate outcomes: United States, 1988–2002. Ann Intern Med. 2006;144(7):465–74.

    PubMed  Google Scholar 

  38. Institute of Medicine. Key capabilities of an electronic health record system. Washington, DC: The National Academies Press; 2003. Available at: http://www.nap.edu/catalog.php?record_id=10781. Accessibility verified October 12, 2007

Download references

Acknowledgments

This work was funded by the Agency for Healthcare Research and Quality (grant).

Conflicts of Interest

Dr. Blair is the President of the 1 UC1 HS016316 Taconic IPA and the CEO of MedAllies. Dr. Salkowe and Ms. Chambers are employed by MVP Health Care; Dr. Salkowe is Vice President of Clinical Quality Improvement and Ms. Chambers is Director of Quality Improvement.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lisa M. Kern MD, MPH.

Additional information

An earlier version of this work was presented at the national meeting of the Society of General Internal Medicine in Toronto, Ontario, Canada on April 27, 2007.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kern, L.M., Barrón, Y., Blair, A.J. et al. Electronic Result Viewing and Quality of Care in Small Group Practices. J GEN INTERN MED 23, 405–410 (2008). https://doi.org/10.1007/s11606-007-0448-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-007-0448-1

KEY WORDS

Navigation