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Variation in Electronic Prescribing Implementation Among Twelve Ambulatory Practices

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Abstract

Background

Electronic prescribing has been advocated as an important tool for improving the safety and quality of medication use in ambulatory settings. However, widespread adoption of e-prescribing in ambulatory settings has yet to be realized. The determinants of successful implementation and use in these settings are not well understood.

Objective

To describe the practice characteristics associated with implementation and use of e-prescribing in ambulatory settings.

Design

Multi-method qualitative case study of ambulatory practices before and after e-prescribing implementation.

Participants

Sixteen physicians and 31 staff members working in 12 practices scheduled for implementation of an e-prescribing program and purposively sampled to ensure a mix of practice size and physician specialty.

Measurements

Field researchers used observational and interview techniques to collect data on prescription-related clinical workflow, information technology experience, and expectations.

Results

Five practices fully implemented e-prescribing, 3 installed but with only some prescribers or staff members using the program, 2 installed and then discontinued use, 2 failed to install. Compared to practice members in other groups, members of successful practices exhibited greater familiarity with the capabilities of health information technologies and had more modest expectations about the benefits likely to accrue from e-prescribing. Members of unsuccessful practices reported limited understanding of e-prescribing capabilities, expected that the program would increase the speed of clinical care and reported difficulties with technical aspects of the implementation and insufficient technical support.

Conclusions

Practice leaders should plan implementation carefully, ensuring that practice members prepare for the effective integration of this technology into clinical workflow.

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References

  1. Gandhi TK, Weingart SN, Borus J, et al. Adverse drug events in ambulatory care. N Engl J Med. 2003;348:1556–64.

    Article  PubMed  Google Scholar 

  2. Gurwitz JH, Field TS, Harrold L, et al. Incidence and preventability of adverse drug events among older persons in the ambulatory setting. JAMA. 2003;289:1107–16.

    Article  PubMed  Google Scholar 

  3. Lafata JE, Schultz L, Simpkins J, et al. Potential drug–drug interactions in the outpatient setting. Med Care. 2006;44:534–41.

    Article  PubMed  Google Scholar 

  4. Schiff GD, Rucker TD. Computerized prescribing: building the electronic infrastructure for better medication usage. JAMA. 1998;279:1024–9.

    Article  PubMed  CAS  Google Scholar 

  5. Kohn LT, Corrigan J, Donaldson MS. To Err is Human: Building A Safer Health System. Washington, D.C.: National Academy Press; 2000.

    Google Scholar 

  6. Institute of Medicine (U.S.). Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, D.C.: National Academy Press; 2001.

    Google Scholar 

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

    Article  PubMed  Google Scholar 

  8. White House. Transforming health care: the President’s health information technology plan. Available at: http://www.whitehouse.gov/infocus/technology/economic_policy200404/chap3.html. Accessed April 18, 2007.

  9. Bell DS, Cretin S, Marken RS, Landman AB. A conceptual framework for evaluating outpatient electronic prescribing systems based on their functional capabilities. J Am Med Inform Assoc. 2004;11:60–70.

    Article  PubMed  Google Scholar 

  10. Martin JC, Avant RF, Bowman MA, et al. The future of family medicine: a collaborative project of the family medicine community. Ann Fam Med. 2004;2:S3–32.

    Article  PubMed  Google Scholar 

  11. Rosenfeld S, Bernasek C, Mendelson D. Medicare’s next voyage: encouraging physicians to adopt health information technology. Policymakers seem to agree on the necessity of HIT in Medicare but need to commit the resources needed to effect change. Health Aff (Millwood). 2005;24:1138–46.

    Article  Google Scholar 

  12. Goldman DP, Joyce GF, Zheng Y. Prescription drug cost sharing: associations with medication and medical utilization and spending and health. JAMA. 2007;298:61–9.

    Article  PubMed  CAS  Google Scholar 

  13. Tamblyn R, Laprise R, Hanley JA, et al. Adverse events associated with prescription drug cost-sharing among poor and elderly persons. JAMA. 2001;285:421–9.

    Article  PubMed  CAS  Google Scholar 

  14. DiMatteo MR. Variations in patients’ adherence to medical recommendations: a quantitative review of 50 years of research. Med Care. 2004;42:200–9.

    Article  PubMed  Google Scholar 

  15. Wang SJ, Middleton B, Prosser LA, et al. A cost-benefit analysis of electronic medical records in primary care. Am J Med. 2003;114:397–403.

    Article  PubMed  Google Scholar 

  16. Corley ST. Electronic prescribing: a review of costs and benefits. Top Health Inf Manag. 2003;24:29–38.

    Google Scholar 

  17. Poissant L, Pereira J, Tamblyn R, Kawasumi Y. The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc. 2005;12:505–16.

    Article  PubMed  Google Scholar 

  18. Schade CP, Sullivan FM, de Lusignan S, Madeley J. e-Prescribing, efficiency, quality: lessons from the computerization of UK family practice. J Am Med Inform Assoc. 2006;13:470–5.

    Article  PubMed  Google Scholar 

  19. Bell DS, Friedman MA. E-prescribing and the Medicare modernization act of 2003. Health Aff (Millwood). 2005;24:1159–69.

    Article  Google Scholar 

  20. Schoen C, Osborn R, Huynh PT, Doty M, Peugh J, Zapert K. On the front lines of care: primary care doctors’ office systems, experiences, and views in seven countries. Health Aff (Millwood). 2006;25:w555–71.

    Article  Google Scholar 

  21. Grossman JM, Gerland A, Reed MC, Fahlman C. Physicians’ experiences using commercial e-prescribing systems. Health Aff (Millwood). 2007;26:w393–404.

    Article  Google Scholar 

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

    Article  PubMed  Google Scholar 

  23. Pizzi LT, Suh DC, Barone J, Nash DB. Factors related to physicians’ adoption of electronic prescribing: results from a national survey. Am J Med Qual. 2005;20:22–32.

    Article  PubMed  Google Scholar 

  24. O’Connor PJ, Crain AL, Rush WA, Sperl-Hillen JM, Gutenkauf JJ, Duncan JE. Impact of an electronic medical record on diabetes quality of care. Ann Fam Med. 2005;3:300–6.

    Article  PubMed  Google Scholar 

  25. 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;144:742–52.

    PubMed  Google Scholar 

  26. Crosson JC, Ohman-Strickland PA, Hahn KA, et al. Electronic medical records and diabetes quality of care: results from a sample of family medicine practices. Ann Fam Med. 2007;5:209–15.

    Article  PubMed  Google Scholar 

  27. Crosson JC, Stroebel C, Scott JG, Stello B, Crabtree BF. Implementing an electronic medical record in a family medicine practice: communication, decision-making, and conflict. Annals of Family Medicine. 2005;3:307–11.

    Article  PubMed  Google Scholar 

  28. Tamblyn R, Huang A, Kawasumi Y, et al. The development and evaluation of an integrated electronic prescribing and drug management system for primary care. J Am Med Inform Assoc. 2006;13:148–59.

    Article  PubMed  Google Scholar 

  29. Bell DS, Schueth AJ, Crosson JC, et al. Pilot testing of electronic prescribing standards. Available at: http://healthit.ahrq.gov/portal/server.pt?open=514&objID=5554&mode=2&holderDisplayURL= http://prodportallb.ahrq.gov:7087/publishedcontent/publish/communities/k_o/knowledge_library/features_archive/features/evaluation_of_ahrq__and_cms_funded_e_prescribing_pilot_projects.html. Accessed April 25, 2007.

  30. Crabtree BF, Miller WL, Aita VA, Flocke SA, Stange KC. Primary care practice organization and preventive services delivery: a qualitative analysis. J Fam Pract. 1998;46:403–9.

    PubMed  CAS  Google Scholar 

  31. Crabtree BF, Miller WL, Stange KC. Understanding practice from the ground up. J Fam Pract. 2001;50:881–7.

    PubMed  CAS  Google Scholar 

  32. Jaen C, Stange KC, Nutting PA. Competing demands of primary care: a model for the delivery of clinical preventive services. J Fam Pract. 1994;38:166–71.

    PubMed  CAS  Google Scholar 

  33. Stange KC, Miller WL, Crabtree BF, O’Connor PJ, Zyzanski SJ. Multimethod research: approaches for integrating qualitative and quantitative methods. J Gen Intern Med. 1994;9:278–82.

    Article  PubMed  CAS  Google Scholar 

  34. Dicicco-Bloom B, Crabtree BF. The qualitative research interview. Med Educ. 2006;40:314–21.

    Article  PubMed  Google Scholar 

  35. ATLAS.ti: the knowledge workbench. WIN 5.2.9 ed. Berlin: Scientific Software Development; 2003–2005.

  36. Crabtree BF, Miller WL. Using codes and code manuals: a template organizing style of interpretation. In: Crabtree BF, Miller WL, eds. Doing Qualitative Research, (2nd ed). Thousand Oaks, CA: Sage Publications; 1999:163–77.

    Google Scholar 

  37. Landis J, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This research was supported through funding provided by the U.S. Agency for Healthcare Research and Quality and the Centers for Medicare and Medicaid Services, 1 U18 HS016391-01. We acknowledge the participation of Horizon Blue Cross and Blue Shield of New Jersey, Caremark and Allscripts in this research project.

Conflict of Interest

None disclosed.

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Jesse C. Crosson PhD.

Appendix

Appendix

Table 2 Baseline Interview Questions—Prescribers and Office Staff
Table 3 Office Manager Interview Questions—Baseline and Follow-up
Table 4 Follow up Interview Questions—Prescribers and Office Staff

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Crosson, J.C., Isaacson, N., Lancaster, D. et al. Variation in Electronic Prescribing Implementation Among Twelve Ambulatory Practices. J GEN INTERN MED 23, 364–371 (2008). https://doi.org/10.1007/s11606-007-0494-8

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  • DOI: https://doi.org/10.1007/s11606-007-0494-8

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