Using default options within the electronic health record to increase the prescribing of generic-equivalent medications

Annals of Internal Medicine

Volumn 161, Issue , 2014, Pages S44-S52

  Patel, Mitesh S ^a   Day, Susan ^a   Small, Dylan S ^b   Howell, John T ^c   Lautenbach, Gillian L ^a   Nierman, Eliot H ^a   Volpp, Kevin G ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BETA ADRENERGIC RECEPTOR BLOCKING AGENT; GENERIC DRUG; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR; PROTON PUMP INHIBITOR;

ARTICLE; ELECTRONIC MEDICAL RECORD; ELECTRONIC PRESCRIBING; FAMILY MEDICINE; HUMAN; INTERNAL MEDICINE; PHYSICIAN; PRESCRIPTION; QUASI EXPERIMENTAL STUDY; RESIDENT; CLINICAL PRACTICE; ECONOMICS; GENERAL PRACTICE; STATISTICS AND NUMERICAL DATA; UNITED STATES;

ADRENERGIC BETA-ANTAGONISTS; DRUG PRESCRIPTIONS; DRUGS, GENERIC; ELECTRONIC HEALTH RECORDS; FAMILY PRACTICE; HUMANS; HYDROXYMETHYLGLUTARYL-COA REDUCTASE INHIBITORS; INTERNAL MEDICINE; PHILADELPHIA; PHYSICIAN'S PRACTICE PATTERNS; PROTON PUMP INHIBITORS;

EID: 84919461367     PISSN: 00034819     EISSN: 15393704     Source Type: Journal    
DOI: 10.7326/M13-3001     Document Type: Article

References (35)

1. Centers for Medicare & Medicaid. National Health Expenditure Projections 2010-2020. Accessed at https://www.cms.gov/NationalHealthExpendData/downloads/proj2010.pdf on 1 May 2013.
2. Berwick DM, Hackbarth AD. Eliminating waste in US health care. JAMA. 2012;307:1513-6. [PMID: 22419800
3. Cassel CK, Guest JA. Choosing wisely: helping physicians and patients make smart decisions about their care. JAMA. 2012;307:1801-2. [PMID: 22492759
4. American College of Physicians. High valu e care initiative. Accessed at https://hvc.acponline.org on 15 March 2014
5. Kesselheim AS, Misono AS, Lee JL, Stedman MR, Brookhart MA, Choudhry NK, et al. Clinical equivalence of generic and b rand-name drugs used in cardiovascular disease: a systematic review and meta-analysis. JAMA. 2008; 300:2514-26. [PMID: 19050195
6. Brill A. Overspending on multi-source drugs in Medicaid. American Ente rprise Institute for Public Policy Research. 28 March 2011. Accessed at www.aei .org/papers/health/entitlements/overspending-on-multi-source-drugs-in-medicaid/on 31 January 2013.
7. Halpern SD, Ubel PA, Asch DA. Harnessing the power of default options to improve health care. N Engl J Med. 2007;357:1340-4. [PMID: 17898105
8. Loewenstein G, Brennan T, Volpp KG. Asymmetric paternalism to improve health behaviors. JAMA. 2007;298:2415-7. [PMID: 18042920
9. Patel MS, Volpp KG. Leveraging insights from behavioral economics to increase the value of health-care service provision. J Gen Intern Med. 2012;27: 1544-7. [PMID: 22549296
10. Halpern SD, Loewenstein G, Volpp KG, Cooney E, Vranas K, Quill CM, et al. Default options in advance directives influence how patients set goal s for end-of-life care. Health Aff (Millwood). 2013;32:408-17. [PMID: 23381535
11. Penn Medicine Family Medicine. Current residents. Accessed at www.uphs .upenn.edu/family-medicine/education/residency/current-residents.html on 31 January 2013.
12. Penn Medicine Family Medicine. Resident placements. Accessed at www.uphs.upenn.edu/family-medicine/education/residency/resident-placements-alumni.html on 31 January 2013.
13. Penn Medicine Family Medicine. Physicians & team. Accessed at www .pennmedicine.org/family-medicine/patient/team.html on 31 January 2013.
14. Penn Medicine Division of General Internal Medicine. Faculty and staff. Accessed at www.uphs.upenn.edu/dgim/faculty at 31 January 2013.
15. Karlinsky JB, Barrera CM, Goodman DM, Abramson MH, Kaufman JS, Creech DF. Differences in outpatient corticosteroid prescribing patterns between attending and house staff physicians as an indicator of the quality of supervision. Am J Med Qual. 2000;15:26-33. [PMID: 106 80222
16. Boltri JM, Gordon ER, Vogel RL. Effect of antihypertensive samples on physician prescribing patterns. Fam Med. 2002;34:729-31. [PMID: 12448641
17. Charlson ME, Karnik J, Wong M, McCulloch CE, Hollenberg JP. Does experience matter? A comparison of the practice of attendings and residents. J Gen Intern Med. 2005;20:497-503. [PMID: 15987323]
18. Rogers WH, Regression standard errors in clustered samples, Stata Technical Bulletin Reports., 1993, 3, 88-94.
19. Williams RL. A note on robust variance estimation for cluster-correlated data. Biometrics. 2000;56:645-6. [PMID: 10877330
20. Newman SC. Biostatistical Methods in Epidemiology. New York: Wiley; 2001:136.
21. Agresti A. An Introduction to Categor ical Data Analysis. New York: Wiley; 2007:108-9.
22. Meyer BD. Natural and quasi-experiments in economics. Journal of Business and Economic Statistics. 1995;13:151-61.
23. Gimbel RW, Strosberg MA, Lehrman SE, Gefenas E, Taft F. Presumed consent and other predictors of cadaveric organ donation in Europe. Prog Transplant. 2003;13:17-23. [PMID: 12688644
24. Johnson EJ, Goldstein D. Medicine. Do defaults save lives? Science. 2003; 302:1338-9. [PMID: 14631022
25. Johnson EJ, Goldstein DG. Defaults and donation decisions. Transplantation. 2004;78:1713-6. [PMID: 15614141
26. Schweitzer M, Hershey JC, Asch DA. Individual choice in spending accounts. Can we rely on employees to choose well? Med Care. 1996;34:583-93. [PMID: 8656724
27. Madrian BC, Shea DF. The power of suggestion: inertia in 401(k) participation and savings behavior. Q J Econ. 2001;116:1149-87.
28. Choi JJ, Laibson D, Mardian BC, Metrick A. Defined contribution pensions: plan rules, participant decisions, and the path of least resistance. In: Poterba JM, ed. Tax Policy and the Economy. Vol 16. Cambridge, MA: MIT Pr; 2002: 67-113.
29. Black AD, Car J, Pagliari C, Anandan C, Cresswell K, Bokun T, et al. The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Med. 2011;8:e1000387. [PMID: 21267058] doi:10.1371/journal.pmed.1000387
30. van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13:138-47. [PMID: 16357358
31. Avery AJ, Savelyich BS, Sheikh A, Cantrill J, Morris CJ, Fernando B, et al. Ide ntifying and establishing consensus on the most important safety features of GP computer systems: e-Delphi study. Inform Prim Care. 2005;13:3-12. [PMID: 15949170
32. Mazer JS. Generic substitution: the science and saving. D.C. governor's staff briefing. Pharmaceutical Care Management Association. 9 March 2011. Accessed at www.amcp.org/WorkArea/DownloadAsset.aspx?id-10530 on 15 March 2014.
33. Shrank WH, Choudhry NK, Agnew-Blais J, Federman AD, Liberman JN, Liu J, et al. State generic substitution laws can lower drug outlays under Medicaid. Health Aff (Millwood). 2010;29:1383-90. [PMID: 20606192
34. . Gellad WF, Donohue JM, Zhao X, Mor MK, Thorpe CT, Smith J, et al. Brand-name prescription drug use among Veterans Affairs and Medicare Part D patients with diabetes: a national cohort comparison. Ann Intern Med. 2013;159: 105-14. [PMID: 23752663
35. Volpp KG, Loewenstein G, Asch DA. Choosing wisely: low-value services, utilization, and patient cost sharing. JAMA. 2012;308:1635-6. [PMID: 23093160