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D A T A W A T C H G E N E R I C - O N L Y C O V E R A G E W E B E X C L U S I V E
29 September 2004
Effects Of Generic-Only Drug Coverage In A Medicare HMO
Was there any association
between membership composition, costs,
and quality of care and the advent
of a generic-only benefit in a
Medicare health maintenance organization?
By Jennifer Christian-Herman,
Matthew Emons, and Dorothy George
ABSTRACT:
Rising pharmacy costs and
demand for prescription drug coverage for broader populations of seniors
have resulted in the implementation of generic-only pharmacy benefits in
Medicare health maintenance organizations (HMOs). The impact on cost and
quality of care is unknown. We examined data for members of a California
Medicare HMO whose coverage changed to a generic-only benefit and found that
the change was associated with reduced health plan pharmacy cost, increased
out-of-pocket pharmacy costs for members, increased overall hospital admissions,
changed drug-use patterns, and a negative impact on quality metrics for certain
conditions. These findings have important implications for future research
and health policy decisions.
Health spending in the United States is
projected to increase to $3.4 trillion by 2013.1 Although
there are many cost drivers, prescription drug costs are one of the fastest-growing
components. By 2013 these costs are expected to account for 15.5 percent of
national health spending—nearly triple their percentage in 1993.2
Prescription drug coverage is an optional benefit offering for Medicare health
maintenance organizations (HMOs), but many have traditionally offered this
benefit to improve recruitment and retention of members. Rising drug costs
have pressured Medicare HMOs to implement cost containment strategies, such
as benefit limits and tiered formularies that shift costs to members. Cost
pressures and public demand for coverage of prescription drugs, combined with
the expanded range of medications having generic equivalents, have led a growing
number of Medicare HMOs to cover generic medications only. Brand-name medications
are available but paid for out of pocket by the patient (or through other secondary
means arranged by the patient). In 2002, 26 percent of all Medicare HMOs covered
generic medications only. This rate is nearly three times the rate of generic-only
benefits in 2001, and it translates to 1.2 million Medicare HMO members with
generic-only coverage.3 It has been
estimated that more effective use of generic drugs could save beneficiaries
$250 billion over the next decade.4
Despite the increased use of generic-only benefit designs, little is known
about their impact on health care for the elderly. Because many Medicare beneficiaries
choose their health plan based in part on its pharmacy benefit, the switch
to a generic-only benefit could affect the membership composition of Medicare
HMOs. Implementation of a generic-only formulary may attract healthier patients
(“favorable selection”) or may result in sicker patients’ remaining
in the plan because they have few other options (“adverse selection”).
A generic-only benefit should reduce pharmacy costs to the health plan, but
its association with out-of-pocket costs and other outcomes (such as clinical
effects) are less clear. For many conditions, a generic-only benefit may not
have a strong clinical effect if a sufficiently broad array of generic products
is available to enable treatment standards to be met. Other conditions may
require treatment with medications that do not have generic formulations. For
these conditions, the generic-only benefit may reduce adherence to treatment
guideline recommendations. Increases in out-of-pocket costs have been shown
to reduce use of medications even in the chronically ill.5
We conducted this study to evaluate associations of a generic-only pharmacy
benefit design with membership composition, drug spending by HMOs and their
members, drug-use patterns, and adherence to treatment guideline recommendations
(as a proxy for quality of care) for selected health conditions.
Study Data And Methods
The study assessed the associations between the switch to a generic-only pharmacy
benefit and outcomes among members of a large Medicare HMO.6
Administrative data used for the study included enrollment information, facility
claims, professional service claims, and outpatient prescription drug claims
for more than 550,000 Medicare HMO members in California who were enrolled
in 2001 or 2002, or both. Analyses included both a case group (changed to generic-only
benefit) and a control group (continued brand-name and generic benefit). In
2001 the groups had similar prescription coverage for both brand-name and generic
drugs. In 2002 the case group, which represented a mix of metropolitan and
nonmetropolitan
counties in California, switched to a generic-only prescription benefit with
no coverage of brand-name drugs. The control group, which included two large
metropolitan counties, continued with a benefit that covered a range of brand-name
and generic drugs. We evaluated the effect of the benefit design change by
comparing the change in endpoints for the groups from 2001 to 2002.
We also assessed potential clinical implications of the generic-only benefit
by investigating hospital admission rates, drug-use patterns, and medication
adherence. Adherence was defined in two ways: (1) Providers’ adherence
to treatment guidelines was defined as the mean number of months with at least
a one-day supply of medication recommended by evidence-based clinical guidelines;
and (2) patients’ adherence to prescribed medications was the mean percentage
of days for which the patient had a supply of medication. We addressed the
associations with quality metrics for five clinical areas: congestive heart
failure (CHF), coronary artery disease, diabetes, epilepsy, and depression
(use of antidepressants). These areas were selected because their treatment
may require the use of drugs from specific therapeutic classes for which generic
options may be limited.
Study Results
Membership composition.
The generic-only benefit group showed a sharp reduction in membership compared
with the control group, but the change did not materially affect the overall
demographic or clinical profile of the plan’s membership (Exhibit
1).
The number of members in the case group fell by 32.2 percent between 2001 and
2002, compared with a decrease of 16.8 percent in the control group. Both groups
experienced similar changes in members’ mean age and sex. There was no
difference between groups in average patient severity as measured by the Charlson
Comorbidity Index; this provides no evidence that the benefit resulted in attraction
or retention of healthier or sicker patients.
Prescription drug
spending.
The change to a generic-only benefit lowered the health plan’s spending
for prescription drugs (Exhibit
2). Costs to the health plan per member per
month (PMPM) fell by $11 among cases (from $105 to $94) but increased by $2
among controls (from $108 to $110) (p < .0001).
The generic-only benefit design was associated with increased out-of-pocket
prescription drug spending by members. Average PMPM out-of-pocket spending
increased for case members by $16.60 between 2001 and 2002 (from $30.90 to
$47.50) but only by $14.22 for control members (from $26.27 to $40.49) (p <
.0001). Interestingly, enrollees’ payments for prescription drugs greatly
increased (by approximately 50 percent) for both the case and control groups
between 2001 and 2002, which indicates that factors such as other benefit
structure changes (for example, copayment or maximum benefit amounts) and
multifactorial and complex market trends (for example, more-restrictive
formularies) may have affected the control group as well.
Prescription drug
use.
The generic-only benefit design was associated with a significant reduction
in overall prescription drug use and in use of brand-name medications, and
a significant increase in use of generic medications (Exhibit
3). The decrease
in the number of prescriptions for the case group was significantly different
than for the control group. Both the case and control groups increased their
relative use of generic medications between 2001 and 2002, but the increase
was larger among members with a generic-only benefit in 2002 (Exhibit
4). Thus,
the change to a generic-only benefit was successful in altering drug-use patterns.
Overall hospital admission
rates.
Members who switched to a generic-only benefit design had a significantly increased
likelihood of hospital admission in 2002 relative to controls (Exhibit
3). In 2002 the case group had an increase of 3.02 hospital admissions per
thousand, while the control group had a decrease of 0.22 admissions per thousand.
Drug treatment for
chronic conditions. We
analyzed the associations between the change to a generic-only benefit
and drug treatment patterns for four chronic health conditions (CHF,
coronary artery disease, diabetes, and epilepsy) and one therapeutic
drug class (antidepressants). For some of these clinical areas, generic
medications were available for the major therapeutic classes recommended
for management. For others, the availability was more limited: Either
no generic formulations were available for key therapeutic classes, or
only generic agents with less favorable safety, efficacy, or dosing profiles
were available.
For each condition we describe potential clinical implications of a generic-only
benefit and then present our results. Within the results, we comment on potential
explanations for observed results when applicable.
Congestive heart failure. For CHF, the key
clinical issue investigated was the use of angiotensin-converting enzyme
(ACE) inhibitors or angiotensin receptor blockers (ARBs). An ACE inhibitor is
recommended as a first-line drug in the treatment of CHF, particularly for patients
with a decrease in cardiac output.7 The
use of ACE inhibitors reduces mortality and improves quality of life
in patients with CHF. Both brand-name and generic ACE inhibitors were
available at the beginning of the study period, and an additional one
(lisinopril) became generically available during 2002. Treatment guidelines
do not differentiate between specific ACE inhibitors with respect to
safety and efficacy. ARBs, which appear to have comparable efficacy,
are typically used in patients who are unable to tolerate an ACE inhibitor.
No generic ARBs are available.
The generic-only benefit had a small but negative association with the
use of an ACE inhibitor or ARB among CHF patients. The mean number of months
with an available supply of either type of drug fell between 2001 and 2002
for case patients but rose for control patients (Exhibit 3). ACE inhibitor
use patterns changed markedly during the study period (Exhibit
5). The use
of generic ACE inhibitors increased in both groups in 2002, but the rise
occurred earlier and was more dramatic in the case group than in the control
group. The use of brand-name ACE inhibitors dropped for both groups in mid-2002,
an occurrence that may be related to the release of generic lisinopril.
We found no association between the generic-only benefit design and ARB
use, despite the fact that no generic ARBs are available. A similar rate
of ARB use (15 percent) was seen for both groups across the two years,
which suggests that patients (who presumably are unable to tolerate an
ACE inhibitor) are willing to pay out of pocket for these agents. Among
those patients receiving either type of drug, the percentage of days with
an available supply was high (approximately 90 percent) for both groups,
which indicates that the benefit change did not negatively affect patient
adherence. We found no association between the generic-only benefit and
hospital admission rates in CHF patients.
Coronary artery disease. A critical treatment
goal for patients with coronary artery disease is the control of low-density
lipoprotein cholesterol (LDL-c) levels to reduce the risk of acute
myocardial infarction (heart attack).8 A key aspect
of treatment is the use of statins, a therapeutic class in which clinical
differentiation exists among specific agents. In this therapeutic class, lovastatin,
the sole generic agent, is not among the most potent with respect to reducing
LDL-c levels.9 The
lack of a generic formulation of the more potent statins may limit treatment
options for patients who are unable to achieve adequate control of LDL-c with
lovastatin or other generically available agents, such as fibrates, bile acid
sequestrants, or nicotinic
acid.
The generic-only benefit was associated with a decrease in statin use
in members with coronary artery disease (Exhibit
6). In the case group,
the mean number of months with an available statin supply fell between
2001 and 2002. By comparison, among the control group with the disease,
the average number of months with an available statin supply remained
almost the same between 2001 and 2002. It should be noted that the rate
of statin use was low in both groups. The implementation of the generic-only
benefit did not affect patient adherence.
Compared with the results for ACE inhibitors in CHF patients, there was
a lower rate of conversion to a generic alternative for statins, with almost
no generic statin use in the control group. A gradual increase in generic
statin use was seen in the case group (from 0.8 percent in January 2002 to
7.7 percent in December 2002), although the overall rate remained low.
We found no relationship between the generic-only benefit and hospital admission
rates for patients with coronary artery disease. However, because the use
of statins is a long-term preventive intervention, an increase in acute coronary
events such as heart attacks may not be expected within our time frame.
Diabetes. We examined three clinical metrics
related to diabetes management: the use of glucose-lowering medications
and the use of medications to reduce the risk of cardiovascular and renal complications
of diabetes (statins and ACE inhibitors/ARBs). Along with nutritional
therapy and exercise, insulin and oral glucose-lowering agents are instrumental
in controlling blood glucose levels, which lowers the risk of many diabetes complications.
Multiple agents with different modes of action may be required for
optimal control of blood glucose in patients with Type 2 diabetes. All first-generation
and most second-generation sulfonylureas are available
in generic formulations. A generic formulation of metformin became
available during the study year (2002), but metformin is not ideal
for use in the elderly and has labeled contraindications for those
with CHF or reduced kidney functioning.10 Other
categories of oral hypoglycemic agents that may be needed to treat
patients with Type 2 diabetes are not available in generic formulations.
Depending on the formulary, a generic-only benefit may exclude coverage
for some or even all insulin formulations.
Diabetic patients are at high risk for heart attack, and use of statins
to control LDL-c levels is widely accepted.11
The use of an ACE inhibitor or ARB is also recommended for many with diabetes,
to protect kidney functioning.12
The potential implications of a generic-only benefit related to ACE
inhbitor/ARB and statin use are similar to the issues regarding CHF
and coronary artery disease.
The generic-only benefit was associated with a significant decrease
in the use of antidiabetic agents (Exhibit
3). Specifically, it was
associated with a lower rate of use of insulin (p < .0001),
insulin plus a single oral agent (p < .05),
and the use of multiple oral agents (p < .0001).
Patient adherence did not differ between the case and control groups.
The mean percentage of months with available oral diabetic supply
was lower in the case group in 2002 (p < .0001).
With regard to specific oral antidiabetic therapeutic classes, statistically
significant reductions were observed in the case group for the use
of insulin resistance reducers (such as thiazolidinediones or oligosaccharides,
p < 0001)
and metformin (which was not generically available at the time of
the switch, p < .0001).
No difference was found in the use of sulfonylureas, alpha-glucosidase
inhibitors, or meglitinides.
Enrollees with diabetes in the generic-only benefit group had a significant
increase in the overall (diabetes- and non-diabetes-related) hospital admission
rate per thousand
(p < .0001).
The rate increased in the case group from 31.6 per thousand in 2001
to 33.3 per thousand in 2002, while it decreased for the control group from 31.7
to 29.7 per thousand over the same time period (p < .005).
The generic-only benefit was associated with a lower rate of ACE
inhibitor or ARB use in members with diabetes (Exhibit 3). Similar
to the medication use patterns described for CHF patients, the use
of brand-name ACE inhibitors decreased and the use of generic ACE
inhibitors increased for both case and control groups in 2002. The
changes were earlier and more substantial for the case group. The
rate of ARB use remained the same for the case group across both
years (approximately 10 percent), despite the lack of a generically
available agent.
As in the coronary artery disease population, the use of statins among patients
with diabetes decreased dramatically for the case group in 2002 but remained
constant for the control group. The difference between groups was statistically
significant (Exhibit
3).
Epilepsy. Epilepsy is challenging to treat,
particularly among the elderly, who may be at higher risk of adverse
effects or drug interactions.13 Twenty to thirty
percent of patients with epilepsy cannot achieve acceptable control
of seizures without major adverse effects.14 Anti-epileptic
drugs have varying efficacy with specific seizure subtypes and varying
tolerability profiles. These drugs are typically classified as “conventional” or “newer” agents.
Although there is no evidence indicating that newer agents are more
effective, several studies have found that they may be better tolerated, have
fewer drug interactions, and have a broader range of activity.15 Conventional
agents are available generically, but newer ones are not. A generic-only
benefit thus may limit treatment options for some patients whose seizures cannot
be controlled with or who cannot tolerate conventional agents.
We measured the quality of epilepsy care using two metrics: use of
any anti-epileptic
drug and use of any “newer” anti-epileptic drug. No significant
association was observed between the generic-only benefit design
and the use of either any drug or any newer drug; however, the study
population was relatively small (Exhibit
3).
Use of antidepressants. Although available
antidepressant classes are generally considered equal in efficacy,
selective serotonin reuptake inhibitors (SSRIs) may be preferred for initial
therapy in the elderly because of their better tolerability and safety profiles.
Fluoxetine (Prozac) is the only SSRI that is available in a generic formulation,
but its long half-life can increase the risk of adverse events in seniors if
it is taken daily.16 Other antidepressants
include tricyclic antidepressants (TCAs), trazodone (Desyrel), bupropion
(Wellbutrin), venlafaxine (Effexor), mirtazapine (Remeron), and nefazodone (Serzone).
Although generic versions are available for virtually all TCAs, these agents
tend to have a higher rate of adverse effects. Trazodone and bupropion are also
available generically. The different mechanisms of action of antidepressants
and the relatively common occurrence of adverse effects may necessitate the use
of a specific agent or a combination of agents to achieve optimal control of
depressive symptoms.
Antidepressant medication is a heavily used therapeutic class and
can be prescribed for depression and for a number of other conditions.
For this analysis, patients were identified based on use of antidepressant
medication rather than a diagnosis of depression per se, because behavioral
health diagnoses are often not accurately represented in administrative
claims data. Although antidepressant medications can be prescribed for
other clinical conditions (such as anxiety, chronic pain, and migraine
prevention), drug-use patterns and adherence issues are important across
these diagnostic categories as well. Antidepressant use was analyzed
in the entire population of members rather than in the subset who were
continuously enrolled.
The mean monthly percentage of members with an available antidepressant supply
fell between 2001 and 2002 for the case group, while it increased in the
control group during the same period. (Exhibit
7) The difference between
the groups was statistically significant (Exhibit 3). Adherence to prescribed
drug regimens did not differ between the groups.
We observed several changes in drug-use patterns. For these analyses, the
antidepressants were grouped into four categories: SSRIs, TCAs, trazodone,
and “other” agents
(Effexor, Wellbutrin, Remeron, and Serzone). The generic-only benefit
was associated with an overall decrease in the use of SSRIs as a class, a decrease
in the use of brand-name SSRIs specifically, and an increase in the use of the
generically available SSRI (fluoxetine). A similar pattern was seen for the “other” category.
The case group had an overall decrease in the use of these agents
but an increase in the use of the generic formulation of buproprion. The case
group also had a significantly greater increase in the use of TCAs and trazodone.
Thus, the generic-only benefit was associated with a lower rate of brand-name
SSRIs, but with increased rates of generic fluoxetine (SSRI), generic bupropion,
a TCA, or trazodone. Patients in the case group were less likely to be on any
type of antidepressant medication at all.
Discussion And Conclusions
The generic-only pharmacy benefit design was associated with a
reduction in plan membership but did not materially change membership
composition or provide evidence of either favorable or adverse
selection. The change to a generic-only benefit was associated
with increased hospital admissions; however, the short-term duration
of our study and other factors contributing to hospitalizations
affect the interpretation of this finding. The change decreased
the overall number of medications used and reduced the plan’s drug costs,
but raised members’ out-of-pocket drug costs. These results suggest
that the reduction in drug costs may have occurred at the expense of an increase
in costs associated with other health care use—specifically, increased
hospital admissions. Although the data we examined did not include inpatient
costs, we attempted to evaluate the magnitude of the cost increase, using 2001
California-specific admissions data reported by the Henry J. Kaiser Family
Foundation.17 If
we estimate an average cost per admission of $8,736 (based on the
number of admissions, average length-of-stay, and average per diem cost), the
magnitude of the increased admission cost during the one-year horizon of this
study was $2.36 PMPM, which is much lower than reported pharmacy savings ($13).
However, the PMPM admission cost may underestimate the total impact, because
it does not take into consideration indirect costs, custodial care, or the
impact on health-related quality of life. Longer-term study is needed before
conclusions can be made.
The decrease in plan pharmacy costs was not as large as might be
expected. One reason may be that a change from an already tightly
managed drug benefit to a generic-only formulary is a relatively small, “incremental” step.
Greater cost savings could be realized if the benefit change were
from a loosely managed to a generic-only benefit. A health plan’s
contracting strategies also will affect the ultimate savings realized. However,
in the climate of double-digit increases in pharmacy costs, even a 10 percent
decrease is meaningful.
The study clearly demonstrated changes in drug-use patterns. The
overall decrease in use (0.8 prescriptions PMPM), while seemingly
small, is meaningful in a large health plan population. Of greater
importance is the change in the composition of prescriptions. A higher
rate of generic medications and a lower rate of brand-name medications
were seen in both groups, which could reflect the release of generic
formulations of several key drugs. However, the change was particularly
noteworthy for the case group, which indicates that the switch to
the generic-only benefit effectively altered drug-use patterns.
Across four of the five chronic conditions studied, our findings suggest
a negative association between the generic-only benefit and selected measures
reflecting adherence to treatment guidelines. There was no apparent association
with patient adherence. Findings related to the therapeutic categories studied
suggest that certain subgroups may be adversely affected by a generic-only
benefit. The following findings imply potential quality-of-care issues that
warrant further consideration.
Areas for further
study. First,
we found evidence of compromised use of ACE inhibitors in the treatment of
coronary artery disease and diabetes despite the availability of generics and
a dramatic change in use patterns. These agents have been demonstrated to improve
clinical outcomes in both disease categories. Second, the generic-only benefit
was associated with a dramatic decrease in the use of statins in both the coronary
artery disease and diabetes populations. Statins for these patients have been
proved to reduce the risk of heart attack, stroke, and death. An important
issue may be the limited availability of generic statin options.
Third, we observed differences in use of oral glucose-lowering
medications and insulin in the diabetes case group. Growing evidence
suggests that a subset of patients with diabetes may benefit from
the concomitant use of three or more glucose-lowering agents, which
may require the use of brand-name-only agents.18 Of
key concern is the higher rate of hospital admissions for the case group during
the second year of the study. Fourth, the decrease in the overall use of antidepressants
is of concern, because depression (the most prevalent indication for antidepressant
use) is common and is often underdiagnosed and undertreated among the elderly.
We observed changes in drug use: There was an overall decrease in SSRI use
and an overall increase in TCA use, which may not be desirable from a patient
safety perspective in the elderly.
Study limitations. These results are limited
by several factors. We did not have the data to adjust for confounding factors
that may have affected our results, including members’ socioeconomic
characteristics, additional information about the HMO’s overall benefit
design (for example, premiums, deductibles, copayments, and annual coverage
limits), or information on competing benefit offerings from other Medicare
HMOs in the same market. The clinical information necessary to assess the potential
reasons behind therapeutic change or switching, as well as to assess the clinical
outcomes (for example, LDL-c or blood glucose levels), were also not available
in the claims data we studied. Because we did not have actual drug acquisition
costs for the study, we used the average wholesale price (AWP) to calculate
drug costs to the health plan. Typically, contracting enables a health plan
to purchase both brand-name and generic drugs at costs well below the AWP.
Although the actual savings to a specific health plan of switching to a generic-only
formulary is thus dependent upon actual contract prices and the mix of brand-name
versus generic drug use, the use of AWP in this study provides some measure
of the relative magnitude of savings that could be achieved with such a benefit
change. Finally, cost information for inpatient and outpatient claims was not
available, which limits our ability to determine the association between pharmacy
cost reductions and higher medical costs resulting from increased inpatient
use. This is an important consideration in view of recent evidence that the
use of newer medications is associated with lower nondrug medical spending
and lower total medical costs.19
Our results may be affected by use of drugs outside the plan. Although
there were incentives (such as discounts) for members to fill noncovered
prescriptions through contracted pharmacy providers, some of the case group
may have obtained prescriptions for brand-name drugs from sources outside
the health plan. Our study would not have captured complete usage for members
who obtained medications through physician samples or patient assistance
programs or for prescriptions filled in noncontracted pharmacies and paid
for out of pocket. Although the groups did not differ significantly in
overall demographic or clinical profiles, slight differences could have
contributed to the differences observed in outcome variables. Observed
baseline differences in use suggest some inherent variation in drug-use
patterns between the groups. A final limitation is the lack of data prior
to 2001 or after 2002. First-quarter 2001 rates in some analyses appeared
particularly low, in part because of incomplete data for prescriptions
filled at the end of 2000, especially as some may have been filled for
three months through the mail-order benefit. Additionally, some trends
observed at the end of 2002 might be better understood if data into 2003
were available.
Policy implications. The
study demonstrated that switching to a generic-only benefit changed drug-use
patterns and lowered total pharmacy costs for the Medicare HMO population
studied. However, evidence suggesting a negative effect on quality
of care was noted overall and across four clinical areas (CHF,
coronary artery disease, diabetes, and antidepressant medication
use). These results warrant further study, with other measures
of quality of care and, ideally, using databases and methodologies
to directly evaluate the clinical impact of changes in drug use
patterns. Pharmacy cost savings may be eroded by increased total
medical costs for these members, especially in light of increased
hospital admissions.
The potential implications of these findings must be considered
by health policy decisionmakers as they extend beyond Medicare
HMOs to include commercial carriers, Medicaid, and traditional
Medicare, all of which are facing similar financial constraints.
Given the mixed findings, it appears that a generic-only benefit
may not be an optimal solution at this time. As additional therapeutic
options become available (that is, new medications or availability
of new generics), the impact of a generic-only benefit design must
be continually reassessed. A greater understanding of the specific
clinical and economic outcomes of such a benefit design will help
identify opportunities for refinement of the benefit or other innovative
solutions.
This study was supported by a grant from the California HealthCare Foundation.
The authors acknowledge the involvement of Constella Health Strategies, particularly
Merle Haberman, Mary Patton, Ruby Vendiola, and Pam Kadlubek.
NOTES
1. S. Heffler et al., “Health Spending Projections through 2013,” 11
February 2004, Health Affairs, content.healthaffairs.org/cgi/content/abstract/hlthaff.w4.79 (14
September 2004).
2. Ibid.
3. Centers for Medicare and Medicaid Services, “M+C
Changes in Access, Benefits, and Premiums, 2001 to 2002,” cms.hhs.gov/healthplans/trends/mplusc_changes.pdf (31
August 2004).
4. G. Ritter, C.P. Thomas, and S.S. Wallack, “Greater Use of
Generics: A Prescription for Drug Cost Savings” (Waltham,
Mass.: Institute for Health Policy, Brandeis University, 2001).
5. D.P. Goldman et al., “Pharmacy Benefits
and the Use of Drugs by the Chronically Ill,” Journal of the American
Medical Association 291, no. 19 (2004): 2344–2350.
6. A more detailed description of the study methods
is available online at content.healthaffairs.org/cgi/content/full/hlthaff.w4.455/DC1.
7. American College of Cardiology/American Heart
Association Committee to Revise the 1995 Guidelines for the Evaluation
and Management of Heart Failure, “ACC/AHA
Guidelines for the Evaluation and Management of Chronic Heart Failure in the
Adult: A Report of The American College of Cardiology/American Heart Association
Task Force on Practice Guidelines,” 2001, www.acc.org/clinical/guidelines/failure/hf_index.htm (31
August 2004).
8. National Cholesterol Education Program, “Third Report of
the Expert Panel on the Detection, Evaluation, and Treatment of High Blood
Cholesterol in Adults (Adult Treatment Panel III), Final Report,” Pub.
no. 02-5215 (Bethesda, Md.: National Heart, Lung, and Blood Institute,
2002).
9. E.J. Schaefer et al., “Comparisons of
Effects of Statins (Atorvastatin, Fluvastatin, Lovastatin, Pravastatin,
and Simvastatin) on Fasting and Postprandial Lipoproteins in Patients
with Coronary Heart Disease Versus Control Subjects,” American Journal of Cardiology 93,
no. 1 (2004): 31–39.
10. Bristol-Myers Squibb, glucophage product insert, www.glucophagexr.com (14
September 2004).
11. American Diabetes Association, “Management
of Dyslipidemia in Adults with Diabetes,” Diabetes Care 26,
Supp. 1 (2003): S83–S86.
12. ADA, “Nephropathy in Diabetes,” Diabetes
Care 27, Supp. 1 (2004): S79–S83.
13. S.M. LaRoche and S.L. Helmers, “The
New Antiepileptic Drugs: Scientific Review,” Journal of the American Medical
Association 291,
no. 5 (2004): 605–614.
14. R.H. Mattson, “Efficacy and Adverse
Effects of Established and New Antiepileptic Drugs,” Epilepsia 36,
Supp. 2 (1995): S13–S26.
15. LaRoche and Helmers, “The New Antiepileptic
Drugs.”
16. D.M. Fick et al., “Updating the Beers
Criteria for Potentially Inappropriate Medication Use in Older
Adults,” Archives
of Internal Medicine 163, no. 22 (2003): 2716–2724.
17. Henry J. Kaiser Family Foundation, “State
Health Facts Online: California,” www.statehealthfacts.org/cgi-bin/healthfacts.cgi?action=profile&area=California (29
July 2004).
18. A.J. Scheen, “Clinical Efficacy of Acarbose
in Diabetes Mellitus: A Critical Review of Controlled Trials,” Diabetes
Metabolism 24,
no. 4 (1998): 311–320.
19. F.R. Lichtenberg, “Are the Benefits
of Newer Drugs Worth Their Cost? Evidence from the 1996 MEPS,” Health
Affairs 20,
no. 5 (2001): 241–251.
Jennifer Christian-Herman
(jennifer.christian-herman{at}cerner.com) is associate director, Health
Services Research, at Cerner Health Insights in Beverly Hills,
California. Matthew Emons is a principal investigator there, and
Dorothy George, senior associate director.
DOI: 10.1377/hlthaff.w4.455
©2004 Project HOPEThe People-to-People Health Foundation, Inc.
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