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Figure. Substitution Algorithm
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*For patients with no relevant comorbidity, guidelines recommend initial treatment with a thiazide-type diuretic.14
†For patients with a relevant comorbidity,14 guidelines recommend initial treatment with a specific drug based on the comorbidity.
No substitution was required of calcium channel blockers in patients with angina, of α-blockers in patients with benign prostatic hypertrophy, or of β-blockers in patients with asthma, chronic obstructive pulmonary disease, or congestive heart failure (CHF). For patients taking angiotensin receptor blockers, no substitution was required if diabetes was present or if CHF was present and angiotensin-converting enzyme (ACE) inhibitors had been prescribed previously. For patients with a history of ischemic heart disease and either diabetes or CHF, ACE inhibitors were used as the primary substitution. If the specific drug group recommended for a relevant comorbidity (see "Methods" section of text) had been used previously, a determination was made of whether a thiazide-type diuretic had also been used in the past. If there was no evidence of thiaizide use, that drug was substituted. If there was no substitution made for a given drug and a second drug was present in the regimen, the algorithm was applied to the second agent as above. Only 1 substitution was made for any individual regimen.
Table 1. Characteristics of Study Population (N = 133 624)
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Table 2. Total Prescriptions and Spending by Drug Class, PACE, 2001
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Table 3. Prevalence of Previous or Current First-Line Medication Use by Clinical Category
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Table 4. Potential Savings by Drug Class
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1.
Davis M, Poisal J, Chulis G.  et al.  Prescription drug coverage, utilization, and spending among Medicare beneficiaries.  Health Aff (Millwood).1999;18:231-243.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9926660&dopt=AbstractGoogle Scholar
2.
 Medicare and Prescription Drugs . Washington, DC: Henry J. Kaiser Family Foundation; 2001.
3.
Crippen DL. Testimony on Projections of Medicare and Prescription Drug Spending: Testimony Before the Committee on Finance, United States SenateWashington, DC: United States Congressional Budget Office; 2002:25.
4.
Laschober MA, Kitchman M, Neuman P, Strabic AA. Trends in Medicare supplemental insurance and prescription drug coverage, 1996-1999.  Health Aff (Millwood).2002:W127-W138. Available at: http://content.healthaffairs.org/cgi/reprint/hlthaff.w2.127v1.pdf. Accessed May 9, 2002.Google Scholar
5.
Steinman MA, Sands LP, Covinsky KE. Self-restriction of medications due to cost in seniors without prescription coverage: a national survey.  J Gen Intern Med.2001;16:793-799.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11903757&dopt=AbstractGoogle Scholar
6.
Blustein J. Drug coverages and drug purchases by Medicare beneficiaries with hypertension.  Health Aff (Millwood).2000;19:219-230.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10718036&dopt=AbstractGoogle Scholar
7.
 Medicare Prescription Drug, Improvement, and Modernization Act of 2003. Pub L No. 108-173, 117 Stat 2066.
8.
Pear R. Bush's aides put higher price tag on Medicare law.  New York Times.January 30, 2004:A1.Google Scholar
9.
 Health, United States, 2000 With Adolescent Health Chartbook . Hyattsville, Md: National Center for Health Statistics; 2000.
10.
Giles TD. Pharmacoeconomic issues in antihypertensive therapy.  Am J Cardiol.1999;84(2A):25K-28K.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10437741&dopt=AbstractGoogle Scholar
11.
Manolio TA, Cutler JA, Furberg CD, Psaty BM, Whelton PK, Applegate WB. Trends in pharmacologic management of hypertension in the United States.  Arch Intern Med.1995;155:829-837.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=7717791&dopt=AbstractGoogle Scholar
12.
Ramsey SD, Neil N, Sullivan SD, Perfetto E. An economic evaluation of the JNC hypertension guidelines using data from a randomized controlled trial.  J Am Board Fam Pract.1999;12:105-114.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10220232&dopt=AbstractGoogle Scholar
13.
American Heart Association.  2002 Heart and Stroke Statistical UpdateDallas, Tex: American Heart Association; 2001.
14.
Chobanian AV, Bakris GL, Black HR.  et al.  The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.  JAMA.2003;289:2560-2572.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12748199&dopt=AbstractGoogle Scholar
15.
ALLHAT Officers and Coordinators for the ALLHAT Collaborative Research Group.  Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic.  JAMA.2002;288:2981-2997.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12479763&dopt=AbstractGoogle Scholar
16.
Wing LM, Reid CM, Ryan P.  et al.  A comparison of outcomes with angiotensin-converting-enzyme inhibitors and diuretics for hypertension in the elderly.  N Engl J Med.2003;348:583-592.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12584366&dopt=AbstractGoogle Scholar
17.
Psaty BM, Lumley T, Furberg CD.  et al.  Health outcomes associated with various antihypertensive therapies used as first-line agents: a network meta-analysis.  JAMA.2003;289:2534-2544.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12759325&dopt=AbstractGoogle Scholar
18.
 Pharmaceutical Benefits Under State Medical Assistance Programs . Reston, Va: National Pharmaceutical Council; 2001.
19.
Solomon DH, Finkelstein JS, Katz JN, Mogun H, Avorn J. Underuse of osteoporosis medications in elderly patients with fractures.  Am J Med.2003;115:398-400.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=14553876&dopt=AbstractGoogle Scholar
20.
Solomon DH, Schneeweiss S, Glynn RJ, Levin R, Avorn J. Determinants of selective cyclooxygenase-2 inhibitor prescribing: are patient or physician characteristics more important?  Am J Med.2003;115:715-720.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=14693324&dopt=AbstractGoogle Scholar
21.
 SAS Version 8.2 [computer program]. Cary, NC: SAS Institute Inc; 2003.
22.
Christensen DB, Williams B, Goldberg HI, Martin DP, Engelberg R, LoGerfo JP. Comparison of prescription and medical records in reflecting patient antihypertensive drug therapy.  Ann Pharmacother.1994;28:99-104.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8123972&dopt=AbstractGoogle Scholar
23.
Tamblyn R, Lavoie G, Petrella L, Monette J. The use of prescription claims databases in pharmacoepidemiological research: the accuracy and comprehensiveness of the prescription claims database in Quebec.  J Clin Epidemiol.1995;48:999-1009.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=7775999&dopt=AbstractGoogle Scholar
24.
Maselli JH, Gonzales R.for the Colorado Medical Society Joint Data Project Investigators.  Measuring antibiotic prescribing practices among ambulatory physicians: accuracy of administrative claims data.  J Clin Epidemiol.2001;54:196-201.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11166536&dopt=AbstractGoogle Scholar
25.
Ferrara A, Carter AJ, Ackerson LM, Liu JY, Selby JV. Hormone replacement therapy is associated with better glycemic control in women with type 2 diabetes: the Northern California Kaiser Permanente diabetes registry.  Diabetes Care.2001;24:1144-1150.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11423493&dopt=AbstractGoogle Scholar
26.
Lau HS, de Boer A, Beuning KS, Porsius A. Validation of pharmacy records in drug exposure assessment.  J Clin Epidemiol.1997;50:619-625.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9180655&dopt=AbstractGoogle Scholar
27.
Lewis EJ, Hunsicker LG, Bain RP, Rhode RD. The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy.  N Engl J Med.1993;329:1456-1462.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8413456&dopt=AbstractGoogle Scholar
28.
Marre M, Chatellier G, Leblanc H, Guyene TT, Menard J, Passa P. Prevention of diabetic neuropathy with enalapril in normotensive diabetics with microalbuminuria.  BMJ.1988;297:1092-1095.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=2848604&dopt=AbstractGoogle Scholar
29.
The CONSENSUS Trial Study Group.  Effects of enalapril on mortality in severe congestive heart failure.  N Engl J Med.1987;316:1429-1435.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=2883575&dopt=AbstractGoogle Scholar
30.
The SOLVD Investigators.  Effect of enalapril on survival in patients with reduced left ventricular ejection fractions and congestive heart failure.  N Engl J Med.1991;325:293-302.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=2057034&dopt=AbstractGoogle Scholar
31.
Hennekens CH, Albert CM, Godfried SL, Gaziano JM, Buring JE. Adjunctive drug therapy of acute myocardial infarction—evidence from clinical trials.  N Engl J Med.1996;335:1660-1667.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8929364&dopt=AbstractGoogle Scholar
32.
Brenner BM, Cooper ME, De Zeeuw D.  et al.  Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy.  N Engl J Med.2001;345:861-869.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11565518&dopt=AbstractGoogle Scholar
33.
Lewis EJ, Hunsicker LG, Clarke WR.  et al.  Renoprotective effect of the angiotensin receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes.  N Engl J Med.2001;345:851-860.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11565517&dopt=AbstractGoogle Scholar
34.
ALLHAT Collaborative Research Group.  Major cardiovascular events in hypertensive patients randomized to doxazosin vs chlorthalidone: the Antihypertensive and Lipid-Lowering Treatment to prevent Heart Attack Trial (ALLHAT).  JAMA.2000;283:1967-1975.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10789664&dopt=AbstractGoogle Scholar
35.
Davis BR, Cutler JA, Furberg CD.  et al.  Relationship of antihypertensive treatment regimens and change in blood pressure to risk for heart failure in hypertensive patients randomly assigned to doxazosin or chlorthalidone: further analyses from the Antihypertensive and Lipid-Lowering treatment to prevent Heart Attack Trial.  Ann Intern Med.2002;137:313-320.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12204014&dopt=AbstractGoogle Scholar
36.
Gibbons R, Chatterjee K, Daley J.  et al.  ACC/AHA/ACP-ASIM guidelines for the management of patients with chronic stable angina: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on the Management of Patients With Chronic Stable Angina).  J Am Coll Cardiol.1999;33:2092-2197.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10362225&dopt=AbstractGoogle Scholar
37.
Knight EL, Avorn J. Quality indicators for appropriate medication use in vulnerable elders.  Ann Intern Med.2001;135:703-710.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11601953&dopt=AbstractGoogle Scholar
38.
Savage PJ, Pressel SL, Curb JD.  et al.  Influence of long-term, low-dose, diuretic-based, antihypertensive therapy on glucose, lipid, uric acid, and potassium levels in older men and women with systolic hypertension: the Systolic Hypertension in the Elderly Program.  Arch Intern Med.1998;158:741-751.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9554680&dopt=AbstractGoogle Scholar
39.
Franse LV, Pahor M, DiBari M.  et al.  Hypokalemia associated with diuretic use and cardiovascular events in the Systolic Hypertension in the Elderly Program.  Hypertension.2000;35:1025-1030.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10818057&dopt=AbstractGoogle Scholar
40.
Schneeweiss S, Walker AM, Glynn RJ, Maclure M, Dormuth C, Soumerai SB. Outcome of reference pricing for angiotensin-converting-enzyme inhibitors.  N Engl J Med.2002;346:822-829.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11893794&dopt=AbstractGoogle Scholar
41.
Hodgson TA, Cai L. Medical care expenditures for hypertension, its complications, and its comorbidities.  Med Care.2001;39:599-615.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11404643&dopt=AbstractGoogle Scholar
42.
Freid VM, Prager K, MacKay AP, Xia H. Chartbook on Trends in the Health of Americans: Health, United States, 2003Hyattsville, Md: National Center for Health Statistics; 2003.
43.
Hajjar I, Kotchen TA. Trends in prevalence, awareness, treatment, and control of hypertension in the United States, 1998-2000.  JAMA.2003;290:199-206.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12851274&dopt=AbstractGoogle Scholar
44.
Cutler J. The ANBP2 and ALLHAT: conflicting or consistent?  J Clin Hypertens (Greenwich).2003;5:192-195.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12826781&dopt=AbstractGoogle Scholar
45.
Monane M, Bohn RL, Gurwitz JH, Glynn RJ, Levin R, Avorn J. Compliance with antihypertensive therapy among elderly Medicaid enrollees: the roles of age, gender, and race.  Am J Public Health.1996;86:1805-1808.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9003143&dopt=AbstractGoogle Scholar
46.
Monane M, Bohn RL, Gurwitz JH, Glynn RJ, Levin R, Avorn J. The effects of initial drug choice and comorbidity on antihypertensive therapy compliance: results from a population-based study in the elderly.  Am J Hypertens.1997;10:697-704.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9234822&dopt=AbstractGoogle Scholar
47.
Joint National Committee on the Detection, Evaluation, and Treatment of High Blood Pressure.  The sixth report of the Joint National Committee on the Detection, Evaluation, and Treatment of High Blood Pressure.  Arch Intern Med.1997;157:2413-2446.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9385294&dopt=AbstractGoogle Scholar
48.
Black HR, Elliott WJ, Grandits G.  et al.  Principal results of the controlled onset verapamil investigation of cardiovascular end points (CONVINCE trial).  JAMA.2003;289:2073-2082.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12709465&dopt=AbstractGoogle Scholar
49.
Dahlof BJ, Devereux R, Kjeldsen S.  et al.  Cardiovascular morbidity and mortality in the Losartan Intervention For Endpoint Reduction in Hypertension Study (LIFE): a randomized trial against atenolol.  Lancet.2002;359:995-1003.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11937178&dopt=AbstractGoogle Scholar
50.
Avorn J. Powerful Medicines: The Benefits, Risks, and Costs of Prescription DrugsNew York, NY: Knopf; 2004.
Original Contribution
April 21, 2004

Economic Implications of Evidence-Based Prescribing for Hypertension: Can Better Care Cost Less?

Author Affiliations

Author Affiliations: Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass.

JAMA. 2004;291(15):1850-1856. doi:10.1001/jama.291.15.1850
Abstract

Context Deviation from evidence-based guidelines in hypertension treatment is common, but its economic impact has not been rigorously studied. Suboptimal prescribing patterns contribute to the high cost of medications for elderly patients as well as the difficulty in providing affordable prescription drug benefits for older Americans.

Objective To calculate the potential savings from the perspective of health care payers that would result from increased adherence to evidence-based recommendations for managing hypertension in patients older than 65 years.

Design Comparative analysis of medications prescribed vs potential regimens suggested by evidence-based guidelines tailored to each patient's medical history, with calculation of the costs of both the actual and the evidence-based regimens.

Setting and Patients A total of 133 624 patients being treated for hypertension during 2001 who were enrolled in a large state pharmaceutical assistance program that provides prescription drug insurance for elderly persons.

Main Outcome Measure Cost difference between medications actually prescribed and regimens suggested by evidence-based guidelines.

Results The patients studied filled more than 2.05 million prescriptions for antihypertensive medications in 2001, at an annual program cost of $48.5 million ($363 per patient). We identified 815 316 prescriptions (40%) for which an alternative regimen appeared more appropriate according to evidence-based recommendations. Such changes would have reduced the costs to payers in 2001 by $11.6 million (nearly a quarter of program spending on antihypertensive medications), as well as being more clinically appropriate overall. Replacement of calcium channel blockers resulted in the largest potential savings. Use of pricing limits similar to those in the Medicaid program would have resulted in even larger potential savings of $20.5 million (42% of program costs).

Conclusions Adherence to evidence-based prescribing guidelines for hypertension could result in substantial savings in prescription costs for elderly patients with hypertension that would amount to savings of about $1.2 billion nationally. Identification of similar areas in which prescribing can be improved will be critical for the affordability of prescription drug benefit programs.

Costs of medications for chronic conditions continue to escalate, particularly for the elderly.1,2 The Congressional Budget Office projected that in 2003, Medicare beneficiaries would spend an average of $2440 per person on prescription drugs.3 Although some older patients have supplemental insurance to cover the cost of prescription drugs,1 the proportion without coverage has increased in recent years.4 Vulnerable older patients may not fill prescriptions because of their lack of insurance coverage.5,6 Legislation to create a prescription drug benefit for Medicare recipients was recently passed,7 but substantial co-payments will remain for many patients, and the cost of the benefit will likely be much higher than originally anticipated.8 Identification of areas in which clinical practice can be improved while lowering costs to patients and prescription drug plans will be critical to ensure the affordability of medications for older patients.

More than 60% of Americans aged 65 years and older have hypertension.9 Estimates of the cost of its treatment have ranged from $7 billion to $15.5 billion per year.10-13 Therapeutic options have expanded tremendously in the past 2 decades, and guidelines have changed as well.14 In the recently published Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT),15 more than 33 000 patients with hypertension were randomly assigned to receive amlodipine, lisinopril, or chlorthalidone; the thiazide-type diuretic was shown to be most effective in controlling systolic blood pressure as well as in preventing heart failure and stroke; it was also the least costly. The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC VII) recommended thiazide-type diuretics as first-line agents for uncomplicated hypertension in most patients.14 Although some trials offer evidence for angiotensin-converting enzyme (ACE) inhibitors,16 a comprehensive meta-analysis emphasized strong evidence for thiazides as the preferred agents for the majority of patients with this condition.17 Specific comorbidities (eg, diabetic nephropathy or coronary artery disease) constitute indications for other agents (ACE inhibitors and β-blockers, respectively), although even in these conditions, guidelines state that thiazide-type diuretics could still be considered first-line therapy.14

We investigated the economic impact that would result from better adherence to evidence-based therapeutic guidelines. To do this, we analyzed medication use patterns in more than 130 000 hypertensive patients in a state drug assistance program for elderly patients. We evaluated every antihypertensive regimen in light of the clinical history of each patient and then estimated the potential cost savings to the health care delivery system that could have been realized through adherence to evidence-based recommendations.

Methods
Sources of Data

Pennsylvania's Pharmaceutical Assistance Contract for the Elderly (PACE) program provides prescription drug coverage for a large population of that state's elderly patients who are not indigent enough to qualify for Medicaid but have annual incomes of less than $14 000 for single persons or $17 200 for married persons.18 The program covered all drug costs, minus a $6 co-payment for each prescription, for 201 000 beneficiaries in 2001. Prior publications have studied medication use in the PACE program.19,20 Medication claims were available from 1994 through 2001. Data on filled prescriptions were linked to Medicare part A and B files containing additional data on all diagnoses and comorbidities, both outpatient and inpatient, recorded for these patients through the end of 2000. All personal identifiers were transformed to anonymous untraceable coded study numbers to protect patient confidentiality. Institutional review board approval was obtained for review of the claims records. Data analyses were performed using SAS software.21 Prior research has validated the accuracy of computerized claims data for determining medication exposure.22-26 The PACE program receives rebates averaging about 16% from drug manufacturers; this was considered in all cost analyses.

Identification of Patients

We identified every patient who filled a prescription for antihypertensive medications during 2001 and who had been an active user of the PACE program for at least 1 year prior to his/her first antihypertensive prescription. To avoid considering antihypertensive drugs prescribed for other indications, we required that study patients have a recorded diagnosis of hypertension.

We recorded data on all other PACE prescriptions filled by these patients since 1994, as well as all diagnoses recorded in all outpatient and inpatient encounters or reflected in medications used (eg, insulin for diabetes) during the period 1994-2001. In this way, we identified the presence of diabetes mellitus, congestive heart failure (CHF), history of myocardial infarction (MI), asthma, chronic obstructive pulmonary disease (COPD), angina, nephropathy, or benign prostatic hypertrophy.

Substitution Analysis

In keeping with current guidelines, we considered thiazides to be appropriate first-line hypertension therapy for patients without specific contraindications or indications for another drug. The JNC VII report includes specific indications for certain classes of antihypertensives,14 which we incorporated. For patients with CHF or diabetes and nephropathy, we considered ACE inhibitors to be indicated as first-line therapy.14,27-30 For patients with a history of ischemic heart disease, we considered β-blockers as first-line therapy,14,31 except in patients with diagnoses of asthma, COPD, or CHF. Angiotensin receptor blockers were considered acceptable first-line agents in patients with diabetes and nephropathy.32,33 We followed JNC VII in allowing α-blockers as potentially favorable treatment for hypertensive patients with prostatic disease,14 although some evidence suggests that this may be a problematic strategy.34,35 For patients with hypertension and angina, we classified calcium channel blockers as an acceptable therapeutic choice based on JNC-VII guidelines,14 although other recommendations suggest use of β-blockers for most such patients.36

For each patient, we considered all comorbid conditions in assigning alternative antihypertensive medications when appropriate. If there were any current or prior prescriptions for a given medication, we assumed that the drug class was currently being used or had been tried previously and was abandoned due to ineffectiveness or adverse effects, and we did not assign it as a substitute. Medications were replaced on a prescription-for-prescription basis, assuming that compliance with the substitute regimen would be the same as compliance with the prescriptions actually filled, in keeping with recent data.15Figure 1 summarizes the basic logic used in assigning this replacement therapy. For patients without a significant comorbidity and with no history of thiazide use, we assigned thiazide as replacement therapy; we did the same for additional prescriptions for patients with comorbid conditions. For any patient with a relevant comorbidity who had no history of using the indicated first-line agent, we assigned that agent as a replacement. For patients receiving combination agents, we used the same logic but continued use of combination drugs. For example, if a patient with CHF was using a calcium channel blocker–ACE inhibitor combination, we assumed replacement with a thiazide–ACE inhibitor combination.

Cost Calculations

We calculated the average per-day cost of each medication class to be substituted, as measured by the average amount PACE paid to pharmacies. The daily cost of thiazides or β-blockers reflected use of generic hydrochlorothiazide or atenolol, respectively. The average cost of ACE inhibitors was that for lisinopril, the least expensive and most often used ACE inhibitor during the study year. For combination agents, we calculated the average per-day cost of the most commonly used combination product in a given category. The cost per day was averaged over all doses of a given medication. We then recalculated the cost of each patient's alternative regimen, using evidence-based substitutions as outlined herein and in Figure 1. For both the actual and replacement costs, we subtracted 16% to account for manufacturers' rebates.

To incorporate other health care costs of hypertension treatment, we also included the laboratory costs (calculated from laboratory claims data in the study population) associated with these replacements. For thiazides, we assumed that potassium would be checked twice yearly37; for ACE inhibitors, we assumed that both potassium and creatinine would be checked twice yearly.37 Patients taking thiazide diuretics often need potassium replacement. We calculated the average cost of generic long-acting potassium tablets or capsules based on more than 75 000 prescriptions covered by PACE in 2001. Using findings from the Systolic Hypertension in the Elderly Program (SHEP) trial, we assumed that 30% of patients taking thiazides would require potassium supplements38,39 and added this cost to the cost of thiazide therapy.

We then calculated the amount paid by the PACE program in the study year for each patient's actual regimen and compared it with the total amount that the evidence-based regimen would have cost the health care system for each patient.

Alternate Cost Calculations

In Medicaid, the prices of generically available drugs are fixed at a lower level by "maximum allowable cost" (MAC) pricing.18 In secondary analyses, we evaluated the additional impact of using MAC-level pricing for ACE inhibitors. In other analyses, we also varied the percentage of patients taking thiazide diuretics who would require potassium supplements.

Results
Existing Antihypertensive Regimens

Of approximately 201 000 PACE participants, 133 624 (66%) had a diagnosis of hypertension and filled 2 051 281 antihypertensive drug prescriptions during the study year, an average of 15.4 prescriptions per patient. Table 1 shows the basic demographic characteristics of this population and the frequency of major comorbid conditions. Table 1 also shows the earliest year for which PACE data were available for these patients. Nearly two thirds of patients (n = 85 551) had a history in PACE extending to 1994; an additional 32 322 (24.2%) had 3 to 6 years of prior history in PACE. The 2001 program expenditure for antihypertensives (after adjustment for rebates) was $48.5 million, or $363 per patient. For prescriptions costing less than the $6-per-prescription co-payment, the program paid nothing, but data on medication type and quantity were recorded. Including co-payments, total spending for antihypertensive medications by the program and patients was about $60 million.

Table 2 summarizes by class the number of prescriptions, amount paid, and average cost across all prescriptions. Calcium channel blockers had the highest average cost ($33.39 per prescription) and the highest total spending ($17 million); ACE inhibitors were the second costliest class ($10.5 million). β-Blockers were the most commonly prescribed antihypertensive drug, but average cost ($15.62) and total spending ($8.0 million) were lower than for ACE inhibitors or calcium channel blockers. Thiazides were among the least expensive medications ($5.33 per prescription) but accounted for only 4.3% of prescriptions.

Table 3 presents the numbers of patients in several major clinical categories who were and were not prescribed first-line antihypertensive medications. Among patients with CHF, ischemic heart disease, and diabetes with nephropathy, we found no history of use of a first-line medication for 33% to 38%. Of patients with no major comorbidities, 82% had no history of use of a thiazide-type diuretic.

Substitution Analysis

For 815 316 prescriptions (40% of total), an evidence-based replacement medication appeared clinically appropriate after review of all of a patient's recorded diagnoses and drug use history. The algorithm identified a lower-cost agent for 631 951 of these prescriptions (31% of total). In 183 365 prescriptions (9% of the total), the replacement (primarily ACE inhibitors) would have cost more than the existing prescription. If all of the substitutions were made, spending on antihypertensive medications and associated laboratory tests would have decreased by $11.6 million in the study year (24% of the program's antihypertensive drug spending), an annual cost reduction of $8.7 million per 100 000 patients treated for hypertension.

Table 4 summarizes the projected changes in drug use by drug class. Substitution appeared appropriate for about half of calcium channel blocker prescriptions (244 645 [48%]); the greatest savings came from 140 600 prescriptions that could have been replaced with thiazides, saving $4.32 million. Of existing ACE inhibitor prescriptions, 94 060 (23%) appeared replaceable by thiazides, with associated spending reduction of $2.05 million (20% of spending on ACE inhibitors). In 71 885 β-blocker prescriptions (14%), there was an indication for substitution by an ACE inhibitor, which would have increased spending by $570 000. Most of the $701 622 spending reduction for combination agents was accounted for by calcium channel blocker–ACE inhibitor combinations that could have been replaced with combinations containing thiazides.

Alternative Analyses

Over time, the price of generic ACE inhibitors should continue to fall, so we also considered the potential impact of MAC-level pricing, as used by Medicaid in most states,18 by recalculating the potential costs if all replacement ACE inhibitors had been priced at the average cost paid by the Pennsylvania Medicaid program for a generic ACE inhibitor. This resulted in a larger reduction in spending of $15.8 million, or 33% of program spending on hypertension. If the MAC price had been used not just for substitution but in place of all brand-name ACE inhibitor prescriptions (analogous to a reference-pricing approach40), spending would have declined by another $4.7 million, increasing the total savings to $20.5 million, or a potential reduction of 42% of spending for antihypertensive medications.

If all thiazide users required potassium replacement, the potential savings would have decreased slightly to $10.20 million; if only 20% required potassium replacement, the potential savings would have increased to $11.85 million.

Comment

We reviewed the medication choices and costs of antihypertensive regimens in typical elderly patients in a large state drug assistance program over a 1-year period and measured the cost implications of evidence-based drug substitution when clinically appropriate in light of their medical histories. A large proportion of existing prescribing for hypertension was outside of published guidelines. Adherence to established guidelines for treating hypertension would have resulted in considerable savings to the health care delivery system ($11.6 million per year, or nearly a quarter of program antihypertensive medication costs). While some controversy persists regarding the precise details of which agents are best for first-line therapy, the broad outline of the approach presented herein would be applicable to most currently proposed evidence-based guidelines with only minor modifications.

There are many possible reasons for this large divergence between routine practice on the one hand and clinical trial data and evidence-based recommendations on the other. Foremost among these is the vigorous marketing of newer, more costly agents compared with virtually no marketing for older, off-patent drugs. Such marketing affects both physician prescribing choices and patient preferences. It is not clear from these analyses to what extent patient vs physician factors cause these findings; this is an important area for future research.

These findings could have considerable national impact. We found potential savings of $87.14 per patient treated for hypertension; the level of per-patient spending on antihypertensive medication in our population is similar to that found in other research.41 According to the National Center for Health Statistics, in 2000 almost 22 million elderly Americans had hypertension.42 Survey data indicate that 63% of older hypertensive patients are being treated,43 translating to more than 13.5 million elderly patients taking antihypertensive medication. Applying our findings to that population corresponds to a decrease in spending for antihypertensive medications of about $1.2 billion per year.

The ALLHAT results15 indicate that these changes would have been preferred on clinical as well as financial grounds, although some controversy persists about the role of ACE inhibitors vs thiazides in some subgroups.16,44 As lower-priced ACE inhibitors become more widely available, such evidence-based prescribing would reduce the cost of antihypertensives by at least $2 billion to $3 billion annually.

These data must be viewed in light of several considerations. While we made many conservative assumptions in our estimates of potential therapeutic substitutions, we did not interview or examine the patients, review their primary medical records, or communicate with their physicians. As a result, we were not able to completely eliminate the possibility of contraindications for a substitute regimen or hidden indications for the regimens actually prescribed. Diagnoses based on visits, hospitalizations, and filled prescriptions are not as accurate as those measured by review of the primary medical record, but they are a useful way to track whether a given patient ever had a diagnosis of the conditions we studied. We included data on prior prescriptions back to 1994 but could not exclude the possibility that some patients may have taken a first-line agent prior to 1994. We did not define a patient-specific replacement dose when switching a given patient to an evidence-based regimen, and we used the average dose of all prescriptions for each major drug class. Finally, we did not directly address issues of patient adherence45,46 but assumed that a given patient would comply approximately the same with one regimen as with another. This assumption has been borne out by the results of the ALLHAT study,15 which even showed a slight adherence advantage for thiazides.

The JNC VII guidelines on which we based this analysis were published in 2003.14 However, these were quite similar to the recommendations published in JNC VI, which appeared in 1997.47 The main difference was that JNC VII no longer recommended β-blockers as equivalent to thiazides as first-line treatment for uncomplicated hypertension.14 While our findings focus on the potential savings from application of the JNC VII recommendations, the results apply equally well if the JNC VI guidelines, which were current at the time of the prescriptions studied, are used as the basis for the analysis.

While we cannot conclude that a given substitution would have been appropriate in any given patient, it is overwhelmingly likely based on extensive clinical trial data that the proposed substitutions would have been clinically reasonable in a large proportion of hypertensive patients. Not all patients will tolerate first-line therapy. In ALLHAT, the 1-year cessation rates were 12.9% for thiazide-type diuretics and 17.6% for ACE inhibitors,15 and in recent trials of β-blockers, the cessation rate was about 27%.48,49 Applying these rates to our projections and assuming that the same proportions of patients who switched to these regimens would revert to their previous medications would reduce the potential savings by $1.7 million, to $9.9 million. This amount still represents a 20.5% decrease in program spending for antihypertensive medications.

These estimates of potential savings are conservative in several ways. Since many thiaizides cost less than 8¢ per tablet, patients filling these prescriptions would pay less than the $6 co-payment required for costlier prescriptions. Thus, for many of the 430 514 prescriptions for which thiazide replacement was suggested, patients would also have paid less out of pocket, in addition to the program savings described.

We were also conservative in making exceptions for recommended therapy. We excluded patients from substitution if they had filled even 1 previous thiazide prescription. Many of these patients likely did not have intolerable adverse effects and may well have been able to use thiazides instead of more expensive antihypertensives, resulting in greater savings, but we did not consider this possibility. Similarly, we followed the JNC VII guidelines and considered any diagnosis of angina as an acceptable indication for maintaining calcium channel blocker treatment,45 even though other guidelines prefer β-blockers as in such patients.36,45 Likewise, patients with a diagnosis of benign prostatic hypertrophy may have prostatic enlargement without urinary symptoms or may have already had surgical correction of the condition. Nevertheless, we used the JNC VII guidelines, which considered α-blockers an acceptable therapeutic choice in such patients, although evidence from ALLHAT would suggest replacing many of these α-blocker prescriptions with thiazides.34,35

Bringing medication use closer to established practice guidelines would require some initial costs for physician education as well as some additional office visits at first as patients' prescriptions are converted to new antihypertensive medications. Recent research addressed this problem directly in examining the effect of a reference-pricing system and found that the costs of additional physician visits associated with switching patients' antihypertensive therapy were very small in relation to the savings achieved.40 Although additional costs might be incurred when patients switch drug classes, the savings from these changes would continue over years of subsequent drug use, offsetting these modest initial implementation and transition costs.

Overall drug spending for Medicare beneficiaries in 2002 was projected at $87 billion,3 and addition of a Medicare prescription drug benefit will add substantially to this cost; estimates of the eventual cost of this program have already increased dramatically from $400 billion over 10 years to more than $530 billion.8 Initiatives to improve prescribing could result not only in better clinical outcomes but also in lower spending on medications for hypertension and, potentially, for other conditions as well. Such rationalization of prescribing could make the difference between programs that are fiscally viable and those that are not.50

References
1.
Davis M, Poisal J, Chulis G.  et al.  Prescription drug coverage, utilization, and spending among Medicare beneficiaries.  Health Aff (Millwood).1999;18:231-243.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9926660&dopt=AbstractGoogle Scholar
2.
 Medicare and Prescription Drugs . Washington, DC: Henry J. Kaiser Family Foundation; 2001.
3.
Crippen DL. Testimony on Projections of Medicare and Prescription Drug Spending: Testimony Before the Committee on Finance, United States SenateWashington, DC: United States Congressional Budget Office; 2002:25.
4.
Laschober MA, Kitchman M, Neuman P, Strabic AA. Trends in Medicare supplemental insurance and prescription drug coverage, 1996-1999.  Health Aff (Millwood).2002:W127-W138. Available at: http://content.healthaffairs.org/cgi/reprint/hlthaff.w2.127v1.pdf. Accessed May 9, 2002.Google Scholar
5.
Steinman MA, Sands LP, Covinsky KE. Self-restriction of medications due to cost in seniors without prescription coverage: a national survey.  J Gen Intern Med.2001;16:793-799.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11903757&dopt=AbstractGoogle Scholar
6.
Blustein J. Drug coverages and drug purchases by Medicare beneficiaries with hypertension.  Health Aff (Millwood).2000;19:219-230.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10718036&dopt=AbstractGoogle Scholar
7.
 Medicare Prescription Drug, Improvement, and Modernization Act of 2003. Pub L No. 108-173, 117 Stat 2066.
8.
Pear R. Bush's aides put higher price tag on Medicare law.  New York Times.January 30, 2004:A1.Google Scholar
9.
 Health, United States, 2000 With Adolescent Health Chartbook . Hyattsville, Md: National Center for Health Statistics; 2000.
10.
Giles TD. Pharmacoeconomic issues in antihypertensive therapy.  Am J Cardiol.1999;84(2A):25K-28K.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10437741&dopt=AbstractGoogle Scholar
11.
Manolio TA, Cutler JA, Furberg CD, Psaty BM, Whelton PK, Applegate WB. Trends in pharmacologic management of hypertension in the United States.  Arch Intern Med.1995;155:829-837.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=7717791&dopt=AbstractGoogle Scholar
12.
Ramsey SD, Neil N, Sullivan SD, Perfetto E. An economic evaluation of the JNC hypertension guidelines using data from a randomized controlled trial.  J Am Board Fam Pract.1999;12:105-114.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10220232&dopt=AbstractGoogle Scholar
13.
American Heart Association.  2002 Heart and Stroke Statistical UpdateDallas, Tex: American Heart Association; 2001.
14.
Chobanian AV, Bakris GL, Black HR.  et al.  The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.  JAMA.2003;289:2560-2572.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12748199&dopt=AbstractGoogle Scholar
15.
ALLHAT Officers and Coordinators for the ALLHAT Collaborative Research Group.  Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic.  JAMA.2002;288:2981-2997.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12479763&dopt=AbstractGoogle Scholar
16.
Wing LM, Reid CM, Ryan P.  et al.  A comparison of outcomes with angiotensin-converting-enzyme inhibitors and diuretics for hypertension in the elderly.  N Engl J Med.2003;348:583-592.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12584366&dopt=AbstractGoogle Scholar
17.
Psaty BM, Lumley T, Furberg CD.  et al.  Health outcomes associated with various antihypertensive therapies used as first-line agents: a network meta-analysis.  JAMA.2003;289:2534-2544.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12759325&dopt=AbstractGoogle Scholar
18.
 Pharmaceutical Benefits Under State Medical Assistance Programs . Reston, Va: National Pharmaceutical Council; 2001.
19.
Solomon DH, Finkelstein JS, Katz JN, Mogun H, Avorn J. Underuse of osteoporosis medications in elderly patients with fractures.  Am J Med.2003;115:398-400.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=14553876&dopt=AbstractGoogle Scholar
20.
Solomon DH, Schneeweiss S, Glynn RJ, Levin R, Avorn J. Determinants of selective cyclooxygenase-2 inhibitor prescribing: are patient or physician characteristics more important?  Am J Med.2003;115:715-720.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=14693324&dopt=AbstractGoogle Scholar
21.
 SAS Version 8.2 [computer program]. Cary, NC: SAS Institute Inc; 2003.
22.
Christensen DB, Williams B, Goldberg HI, Martin DP, Engelberg R, LoGerfo JP. Comparison of prescription and medical records in reflecting patient antihypertensive drug therapy.  Ann Pharmacother.1994;28:99-104.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8123972&dopt=AbstractGoogle Scholar
23.
Tamblyn R, Lavoie G, Petrella L, Monette J. The use of prescription claims databases in pharmacoepidemiological research: the accuracy and comprehensiveness of the prescription claims database in Quebec.  J Clin Epidemiol.1995;48:999-1009.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=7775999&dopt=AbstractGoogle Scholar
24.
Maselli JH, Gonzales R.for the Colorado Medical Society Joint Data Project Investigators.  Measuring antibiotic prescribing practices among ambulatory physicians: accuracy of administrative claims data.  J Clin Epidemiol.2001;54:196-201.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11166536&dopt=AbstractGoogle Scholar
25.
Ferrara A, Carter AJ, Ackerson LM, Liu JY, Selby JV. Hormone replacement therapy is associated with better glycemic control in women with type 2 diabetes: the Northern California Kaiser Permanente diabetes registry.  Diabetes Care.2001;24:1144-1150.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11423493&dopt=AbstractGoogle Scholar
26.
Lau HS, de Boer A, Beuning KS, Porsius A. Validation of pharmacy records in drug exposure assessment.  J Clin Epidemiol.1997;50:619-625.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9180655&dopt=AbstractGoogle Scholar
27.
Lewis EJ, Hunsicker LG, Bain RP, Rhode RD. The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy.  N Engl J Med.1993;329:1456-1462.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8413456&dopt=AbstractGoogle Scholar
28.
Marre M, Chatellier G, Leblanc H, Guyene TT, Menard J, Passa P. Prevention of diabetic neuropathy with enalapril in normotensive diabetics with microalbuminuria.  BMJ.1988;297:1092-1095.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=2848604&dopt=AbstractGoogle Scholar
29.
The CONSENSUS Trial Study Group.  Effects of enalapril on mortality in severe congestive heart failure.  N Engl J Med.1987;316:1429-1435.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=2883575&dopt=AbstractGoogle Scholar
30.
The SOLVD Investigators.  Effect of enalapril on survival in patients with reduced left ventricular ejection fractions and congestive heart failure.  N Engl J Med.1991;325:293-302.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=2057034&dopt=AbstractGoogle Scholar
31.
Hennekens CH, Albert CM, Godfried SL, Gaziano JM, Buring JE. Adjunctive drug therapy of acute myocardial infarction—evidence from clinical trials.  N Engl J Med.1996;335:1660-1667.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8929364&dopt=AbstractGoogle Scholar
32.
Brenner BM, Cooper ME, De Zeeuw D.  et al.  Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy.  N Engl J Med.2001;345:861-869.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11565518&dopt=AbstractGoogle Scholar
33.
Lewis EJ, Hunsicker LG, Clarke WR.  et al.  Renoprotective effect of the angiotensin receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes.  N Engl J Med.2001;345:851-860.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11565517&dopt=AbstractGoogle Scholar
34.
ALLHAT Collaborative Research Group.  Major cardiovascular events in hypertensive patients randomized to doxazosin vs chlorthalidone: the Antihypertensive and Lipid-Lowering Treatment to prevent Heart Attack Trial (ALLHAT).  JAMA.2000;283:1967-1975.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10789664&dopt=AbstractGoogle Scholar
35.
Davis BR, Cutler JA, Furberg CD.  et al.  Relationship of antihypertensive treatment regimens and change in blood pressure to risk for heart failure in hypertensive patients randomly assigned to doxazosin or chlorthalidone: further analyses from the Antihypertensive and Lipid-Lowering treatment to prevent Heart Attack Trial.  Ann Intern Med.2002;137:313-320.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12204014&dopt=AbstractGoogle Scholar
36.
Gibbons R, Chatterjee K, Daley J.  et al.  ACC/AHA/ACP-ASIM guidelines for the management of patients with chronic stable angina: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on the Management of Patients With Chronic Stable Angina).  J Am Coll Cardiol.1999;33:2092-2197.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10362225&dopt=AbstractGoogle Scholar
37.
Knight EL, Avorn J. Quality indicators for appropriate medication use in vulnerable elders.  Ann Intern Med.2001;135:703-710.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11601953&dopt=AbstractGoogle Scholar
38.
Savage PJ, Pressel SL, Curb JD.  et al.  Influence of long-term, low-dose, diuretic-based, antihypertensive therapy on glucose, lipid, uric acid, and potassium levels in older men and women with systolic hypertension: the Systolic Hypertension in the Elderly Program.  Arch Intern Med.1998;158:741-751.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9554680&dopt=AbstractGoogle Scholar
39.
Franse LV, Pahor M, DiBari M.  et al.  Hypokalemia associated with diuretic use and cardiovascular events in the Systolic Hypertension in the Elderly Program.  Hypertension.2000;35:1025-1030.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10818057&dopt=AbstractGoogle Scholar
40.
Schneeweiss S, Walker AM, Glynn RJ, Maclure M, Dormuth C, Soumerai SB. Outcome of reference pricing for angiotensin-converting-enzyme inhibitors.  N Engl J Med.2002;346:822-829.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11893794&dopt=AbstractGoogle Scholar
41.
Hodgson TA, Cai L. Medical care expenditures for hypertension, its complications, and its comorbidities.  Med Care.2001;39:599-615.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11404643&dopt=AbstractGoogle Scholar
42.
Freid VM, Prager K, MacKay AP, Xia H. Chartbook on Trends in the Health of Americans: Health, United States, 2003Hyattsville, Md: National Center for Health Statistics; 2003.
43.
Hajjar I, Kotchen TA. Trends in prevalence, awareness, treatment, and control of hypertension in the United States, 1998-2000.  JAMA.2003;290:199-206.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12851274&dopt=AbstractGoogle Scholar
44.
Cutler J. The ANBP2 and ALLHAT: conflicting or consistent?  J Clin Hypertens (Greenwich).2003;5:192-195.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12826781&dopt=AbstractGoogle Scholar
45.
Monane M, Bohn RL, Gurwitz JH, Glynn RJ, Levin R, Avorn J. Compliance with antihypertensive therapy among elderly Medicaid enrollees: the roles of age, gender, and race.  Am J Public Health.1996;86:1805-1808.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9003143&dopt=AbstractGoogle Scholar
46.
Monane M, Bohn RL, Gurwitz JH, Glynn RJ, Levin R, Avorn J. The effects of initial drug choice and comorbidity on antihypertensive therapy compliance: results from a population-based study in the elderly.  Am J Hypertens.1997;10:697-704.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9234822&dopt=AbstractGoogle Scholar
47.
Joint National Committee on the Detection, Evaluation, and Treatment of High Blood Pressure.  The sixth report of the Joint National Committee on the Detection, Evaluation, and Treatment of High Blood Pressure.  Arch Intern Med.1997;157:2413-2446.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9385294&dopt=AbstractGoogle Scholar
48.
Black HR, Elliott WJ, Grandits G.  et al.  Principal results of the controlled onset verapamil investigation of cardiovascular end points (CONVINCE trial).  JAMA.2003;289:2073-2082.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12709465&dopt=AbstractGoogle Scholar
49.
Dahlof BJ, Devereux R, Kjeldsen S.  et al.  Cardiovascular morbidity and mortality in the Losartan Intervention For Endpoint Reduction in Hypertension Study (LIFE): a randomized trial against atenolol.  Lancet.2002;359:995-1003.http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m&form=6&Dopt=r&uid=entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11937178&dopt=AbstractGoogle Scholar
50.
Avorn J. Powerful Medicines: The Benefits, Risks, and Costs of Prescription DrugsNew York, NY: Knopf; 2004.
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