Skip to main content

Advertisement

Log in

Electronic Risk Alerts to Improve Primary Care Management of Chest Pain: A Randomized, Controlled Trial

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

Abstract

BACKGROUND

The primary care evaluation of chest pain represents a significant diagnostic challenge.

OBJECTIVE

To determine if electronic alerts to physicians can improve the quality and safety of chest pain evaluations.

DESIGN AND PARTICIPANTS

Randomized, controlled trial conducted between November 2008 and January 2010 among 292 primary care clinicians caring for 7,083 adult patients with chest pain and no history of cardiovascular disease.

INTERVENTION

Clinicians received alerts within the electronic health record during office visits for chest pain. One alert recommended performance of an electrocardiogram and administration of aspirin for high risk patients (Framingham Risk Score (FRS) ≥ 10%), and a second alert recommended against performance of cardiac stress testing for low risk patients (FRS < 10%).

MAIN MEASURES

The primary outcomes included performance of an electrocardiogram and administration of aspirin therapy for high risk patients; and avoidance of cardiac stress testing for low risk patients.

KEY RESULTS

The majority (81%) of patients with chest pain were classified as low risk. High risk patients were more likely than low risk patients to be evaluated in the emergency department (11% versus 5%, p < 0.01) and to be hospitalized (7% versus 3%, p < 0.01). Acute myocardial infarction occurred among 26 (0.4%) patients, more commonly among high risk compared to low risk patients (1.1% versus 0.2%, p < 0.01). Among high risk patients, there was no difference between the intervention and control groups in rates of performing electrocardiograms (51% versus 48%, p = 0.33) or administering aspirin (20% versus 18%, p = 0.43). Among low risk patients, there was no difference between intervention and control groups in rates of cardiac stress testing (10% versus 9%, p = 0.40).

CONCLUSIONS

Primary care management of chest pain is suboptimal for both high and low risk patients. Electronic alerts do not increase risk-appropriate care for these patients.

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.

Institutional subscriptions

Figure 1
Figure 2

Similar content being viewed by others

References

  1. Goldman L, Kirtane AJ. Triage of patients with acute chest pain and possible cardiac ischemia: the elusive search for diagnostic perfection. Ann Intern Med. 2003;139:987–95.

    PubMed  Google Scholar 

  2. Lee TH, Goldman L. Evaluation of the patient with acute chest pain. N Engl J Med. 2000;342:1187–95.

    Article  PubMed  CAS  Google Scholar 

  3. Schappert SM, Rechtsteiner EA. Ambulatory medical care utilization estimates for. Natl Health Stat Rep. 2006;2008:1–29.

    Google Scholar 

  4. Sequist TD, Bates DW, Cook EF, et al. Prediction of missed myocardial infarction among symptomatic outpatients without coronary heart disease. Am Heart J. 2005;149:74–81.

    Article  PubMed  Google Scholar 

  5. Sequist TD, Marshall R, Lampert S, Buechler EJ, Lee TH. Missed opportunities in the primary care management of early acute ischemic heart disease. Arch Intern Med. 2006;166:2237–43.

    Article  PubMed  Google Scholar 

  6. Lewis WR, Amsterdam EA, Turnipseed S, Kirk JD. Immediate exercise testing of low risk patients with known coronary artery disease presenting to the emergency department with chest pain. J Am Coll Cardiol. 1999;33:1843–7.

    Article  PubMed  CAS  Google Scholar 

  7. Buntinx F, Knockaert D, Bruyninckx R, et al. Chest pain in general practice or in the hospital emergency department: is it the same? Fam Pract. 2001;18:586–9.

    Article  PubMed  CAS  Google Scholar 

  8. Hillman BJ, Goldsmith JC. The uncritical use of high-tech medical imaging. N Engl J Med. 2010;363:4–6.

    Article  PubMed  CAS  Google Scholar 

  9. Yelland M, Cayley WE Jr, Vach W. An algorithm for the diagnosis and management of chest pain in primary care. Med Clin N Am. 2010;94:349–74.

    Article  PubMed  Google Scholar 

  10. Panju AA, Hemmelgarn BR, Guyatt GH, Simel DL. The rational clinical examination. Is this patient having a myocardial infarction? JAMA. 1998;280:1256–63.

    Article  PubMed  CAS  Google Scholar 

  11. Kontos MC, Diercks DB, Kirk JD. Emergency department and office-based evaluation of patients with chest pain. Mayo Clin Proc. 2010;85:284–99.

    Article  PubMed  Google Scholar 

  12. Bates DW, Gawande AA. Improving safety with information technology. N Engl J Med. 2003;348:2526–34.

    Article  PubMed  Google Scholar 

  13. Doust J. Diagnosis in general practice. Using probabilistic reasoning. BMJ. 2009;339:b3823.

    Article  PubMed  Google Scholar 

  14. Snow V, Barry P, Fihn SD, et al. Evaluation of primary care patients with chronic stable angina: guidelines from the American College of Physicians. Ann Intern Med. 2004;141:57–64.

    PubMed  Google Scholar 

  15. National Cholesterol Education Program. Executive summary of the third report of The National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA. 2001;285:2486–97.

    Article  Google Scholar 

  16. Aspirin for the prevention of cardiovascular disease: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2009;150:396–404.

    Google Scholar 

  17. Thygesen K, Alpert JS, White HD, et al. Universal definition of myocardial infarction. Circulation. 2007;116:2634–53.

    Article  PubMed  Google Scholar 

  18. Schiff GD, Bates DW. Can electronic clinical documentation help prevent diagnostic errors? N Engl J Med. 2010;362:1066–9.

    Article  PubMed  CAS  Google Scholar 

  19. Kaushal R, Jha AK, Franz C, et al. Return on investment for a computerized physician order entry system. J Am Med Inform Assoc. 2006;13:261–6.

    Article  PubMed  Google Scholar 

  20. Jha AK, Chan DC, Ridgway AB, Franz C, Bates DW. Improving safety and eliminating redundant tests: cutting costs in U.S. hospitals. Health Aff. 2009;28:1475–84.

    Article  Google Scholar 

  21. Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. N Engl J Med. 2010;363:501–4.

    Article  PubMed  CAS  Google Scholar 

  22. Stone EG, Morton SC, Hulscher ME, et al. Interventions that increase use of adult immunization and cancer screening services: a meta-analysis. Ann Intern Med. 2002;136:641–51.

    PubMed  Google Scholar 

  23. Shea S, DuMouchel W, Bahamonde L. A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for preventive care in the ambulatory setting. J Am Med Inform Assoc. 1996;3:399–409.

    Article  PubMed  CAS  Google Scholar 

  24. Metzger J, Welebob E, Bates DW, Lipsitz S, Classen DC. Mixed results in the safety performance of computerized physician order entry. Health Aff. 2010;29:655–63.

    Article  Google Scholar 

  25. Bodenheimer T, Grumbach K. Electronic technology: a spark to revitalize primary care? JAMA. 2003;290:259–64.

    Article  PubMed  Google Scholar 

  26. DesRoches CM, Campbell EG, Vogeli C, et al. Electronic health records' limited successes suggest more targeted uses. Health Aff. 2010;29:639–46.

    Article  Google Scholar 

  27. Bates DW, Kuperman GJ, Wang S, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc. 2003;10:523–30.

    Article  PubMed  Google Scholar 

  28. Gencer B, Vaucher P, Herzig L, et al. Ruling out coronary heart disease in primary care patients with chest pain: a clinical prediction score. BMC Med. 2010;8:9.

    Article  PubMed  Google Scholar 

  29. Lee TH, Pearson SD, Johnson PA, et al. Failure of information as an intervention to modify clinical management. A time-series trial in patients with acute chest pain. Ann Intern Med. 1995;122:434–7.

    PubMed  CAS  Google Scholar 

  30. Bosner S, Haasenritter J, Becker A, et al. Ruling out coronary artery disease in primary care: development and validation of a simple prediction rule. CMAJ. 2010;182:1295–300.

    Article  PubMed  Google Scholar 

  31. Miller CD, Lindsell CJ, Khandelwal S, et al. Is the initial diagnostic impression of "noncardiac chest pain" adequate to exclude cardiac disease? Ann Emerg Med. 2004;44:565–74.

    Article  PubMed  Google Scholar 

  32. Conti A, Vanni S, Taglia BD, et al. A new simple risk score in patients with acute chest pain without existing known coronary disease. Am J Emerg Med. 2010;28:135–42.

    Article  PubMed  Google Scholar 

  33. Gandhi TK, Kachalia A, Thomas EJ, et al. Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims. Ann Intern Med. 2006;145:488–96.

    PubMed  Google Scholar 

  34. Gandhi TK, Lee TH. Patient safety beyond the hospital. N Engl J Med. 2010;363:1001–3.

    Article  PubMed  CAS  Google Scholar 

  35. Pope JH, Aufderheide TP, Ruthazer R, et al. Missed diagnoses of acute cardiac ischemia in the emergency department. N Engl J Med. 2000;342:1163–70.

    Article  PubMed  CAS  Google Scholar 

  36. Gaal S, Verstappen W, Wensing M. Patient safety in primary care: a survey of general practitioners in The Netherlands. BMC Health Serv Res. 2010;10:21.

    Article  PubMed  Google Scholar 

  37. Gibbons RJ, Balady GJ, Beasley JW, et al. ACC/AHA guidelines for exercise testing: executive summary. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Exercise Testing). Circulation. 1997;96:345–54.

    PubMed  CAS  Google Scholar 

Download references

Acknowledgements

We would like to thank the clinicians and patients of Harvard Vanguard Medical Associates for participating in this study. This project was supported by grant number R18HS017075 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. The funding agency played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. Dr. Sequist had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Conflict of Interest

Dr. Sequist has served as a consultant on the Aetna External Committee on Racial and Ethnic Equality.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas D. Sequist MD, MPH.

Additional information

This study was funded by the Agency for Healthcare Research and Quality (R18HS017075). The study protocol was registered at www.ClinicalTrials.gov. (ID number NCT00674375).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sequist, T.D., Morong, S.M., Marston, A. et al. Electronic Risk Alerts to Improve Primary Care Management of Chest Pain: A Randomized, Controlled Trial. J GEN INTERN MED 27, 438–444 (2012). https://doi.org/10.1007/s11606-011-1911-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-011-1911-6

KEY WORDS

Navigation