520 likes | 668 Views
Effect of Increased Copayments on Pharmacy Use in the Department of Veterans Affairs. Kevin T. Stroupe, PhD 1,2,3,4 1 Midwest Center for Health Services & Policy Research, Hines VA Hospital, Hines, IL 2 Cooperative Studies Program Coordinating Center, Hines VA Hospital, Hines, IL
E N D
Effect of Increased Copayments on Pharmacy Use in the Department of Veterans Affairs Kevin T. Stroupe, PhD1,2,3,4 1 Midwest Center for Health Services & Policy Research, Hines VA Hospital, Hines, IL 2 Cooperative Studies Program Coordinating Center, Hines VA Hospital, Hines, IL 3 VA Information Resource Center, Hines VA Hospital, Hines, IL 4 Northwestern University Feinberg School of Medicine, Chicago, IL
Collaborators Bridget M. Smith, PhD1 Todd A. Lee, PharmD, PhD1,3 Ramon Durazo-Arvizu, PhD1 Elizabeth Tarlov, PhD1,4 Lishan Cao, MS3 Zhiping Huo, MS3 Tammy Barnett, MA1,2 Denise Hynes, PhD, RN1,4 Kevin Weiss, MD1,3 1 Midwest Center for Health Services & Policy Research, Hines, IL 2 Cooperative Studies Program Coordinating Center, Hines, IL 3 Northwestern University Feinberg School of Medicine, Chicago, IL 4 VA Information Resource Center, Hines, IL
Background • In 2001, VA spent over $3 billion on outpatient medications • As in the private sector, the VA has increased cost sharing by patients
Background • February 4, 2002 VA raised the medication copayment from $2 to $7 per 30-day supply • This increase was the first change in the copayment amount for medications since the copayment was instituted in 1990
Study Objectives • To examine the association of the copayment increase with medication acquisition from VA pharmacies • For all chronic medications • For specific categories of medications • To examine the association of the copayment increase with medication acquisition for higher and lower pharmacy users
Study Objectives • To examine rates of discontinuation of VA pharmacy use • For all chronic medications, over-the-counter (OTC) medications, and prescription only medications • For medications to treat common chronic conditions
Setting:Medication Copayments in VA • Veterans may obtain both Rx-only medications and OTC medications from VA pharmacies • All medications require a prescription from VA • The same copayment applies to Rx-only and OTC medications • Veterans are not subject to copayments for supplies (e.g., gauze) from the VA pharmacy
Setting:Medication Copayments in VA • Veterans are subject to the copayment depending on their VA Priority category (1 though 8), • which were established to manage access to VA care in relation to VA’s resources
Setting:Medication Copayments in VA • Veterans in Priority 1 • have a service-connected condition that is 50% or more disabling • are exempt from drug copayments
Setting:Medication Copayments in VA • Veterans in Priorities 2 through 6 • have service-connected conditions <50% disabling, low incomes, or other recognized statuses (e.g., former POW) • are exempt from copayments for drugs for their service-connected disabilities • have a cap on their out-of-pocket medication spending set at $840annually (increased to $960 in 2006)
Setting:Medication Copayments in VA • Veterans in Priorities 7 and 8 • are subject to copayments for all drugs • have no cap on their annual out-of-pocket prescription copayments
Setting:Medication Copayments in VA Veterans may have copayments for • No Drugs • Priority Category 1 • Some Drugs • Priority Categories 2 - 6 • All Drugs • Priority Categories 7 - 8
Study Design • Retrospective observational study using data from national VA databases • We examined medication acquisition of patients from VA in the 1-year periods • before (February 4, 2001 to February 3, 2002) and • after (February 4, 2002 to February 4, 2003) the copayment increase
Study Sample • 5% random sample of male VA users in fiscal year (FY) 2001 • To ensure that differences in medication acquisition before and after the copayment increase were not due to length of time in the study, we restricted sample to • veterans who used VA inpatient or outpatient services in the 1-year period before the study • veterans who were alive at the end of the study period
Study Period Copayment Change Before Study Pre Period Post Period February 4, 2002 February 4, 2001 February 4, 2000 February 4, 2003 Study Timeline
~4 million VA users in fiscal year 2001 5% random sample of male VA users 207,298 • Eliminated: • 2,075 who died before study period • 7,318 non-veterans • 36,062 with no VA use before study period • 10,384 who died during study period • 2,449 with missing data Male veterans in study cohort 149,010 Copays for Some Drugs (Priority 2 – 6) 101,331 (68%) Copays for All Drugs (Priority 7 – 8) 28,185 (19%) Copays for No Drugs (Priority 1) 19,494 (13%) Study Sample
Data Sources for Study • VA Pharmacy Benefit Management (PBM) Database • Used to obtain: Medication acquisition 1 year before and after copayment increase (Feb 4, 2001 – Feb 4, 2003) • VA National Patient Care Database (NPCD) Medical SAS Datasets • Used to obtain: Patient characteristics e.g., age, race, etc. • VA Enrollment file • Used to obtain: Veteran priority category
Pharmacy Utilization • VA copayment applies to each 30-day supply or less • We calculated the number of 30-day equivalent supplies by dividing the day’s supply as dispensed by 30 • e.g., one prescription with an 90-day supply dispensed became three 30-day equivalent supplies • We considered a prescription with <30-day supply as one 30-day supply because the full copayment applies to these prescriptions
Pharmacy Utilization • Patients may obtain drugs from VA to treat chronic conditions (e.g., hypertension) or for short-term conditions (e.g., infections) • Because changes in acquisition of drugs for chronic conditions could affect the long-term management and consequences of these conditions, • we focused on drugs for chronic rather than acute conditions
Pharmacy Utilization • To exclude medications that were likely to be used on a short-term basis • we removed any type of drug that the patient did not receive at least one 30-day supply before or after the copayment increase
Pharmacy Use Categories • We divided patients into higher and lower pharmacy use groups based on the number of different medications patients received before the copayment increase
Pharmacy Use Categories • Based on quartiles of the number different medications, we grouped patients as • low medication users (≤ 3 medications) • moderately low users (4 – 6 medications), • moderately high users (7 – 11 medications) • and high users (> 11 medications)
Medication Categories • All chronic medications: • Medications with al least one 30-day supply
Medication Categories • Higher and lower-cost medications • medications with a retail cost more or less than the copayment • Based on adjusted Average Wholesale Price • OTC and Rx-only medications • Based on indicator variables in the database
Medication Categories • More and less essential medications • Medications that prevented deterioration in health, prolonged life, and were not likely to be prescribed without a definitive diagnosis • Medications were that could relieve symptoms without affecting the underlying disease process • Based on modified lists from WHO that have been used in previous studies
Medication Categories • Medications for chronic conditions • These medications included: anti-hypertensives, lipid lowering agents, anti-coagulants, diabetes medications, antiarrhythmics, antianginals, antidepressants, and antipsychotics • To ensure that antidepressant users were not receiving them on only a short-term basis, we restricted antidepressant users to • Patients with Dx of depression during the 2 years prior to the copayment increase • Who were using an antidepressant at the beginning of the study period
Analysis • To examine the effect of the copayment on the number of 30-day supplies in the 1-year periods before and after the copayment increase • We used zero-inflated negative binomial count models • controlling for age, race, comorbidities, insurance status, distance, and socio-economic status
Analysis • To determine the impact of the copayment increase on medication acquisition from the VA, • we used the natural experiment that occurred when the copayment was increased for certain veterans • Veterans with no copays were ‘control’ group • Veterans with copays for some or all medications were ‘experimental’ groups
Analysis • We used a difference-in-differences approach to • estimate the change in number of 30-day supplies after the increase for veterans subject to the copayment relative to • the change in number of 30-day supplies after the increase for veterans with no copayments
Analysis • Advantage of difference-in-differences method: • any change in control group’s medication acquisition reflects changes unrelated to the copayment • while any change in the experimental groups’ medication acquisitions reflects both the (same) naturally occurring change plus the impact of the copayment change
Analysis • To implement the difference-in-differences estimator, we specified the conditional mean number of 30-day prescriptions from VA as E(yit|xit) = (1-qit) exp(β0+ β1Some_copayit + β2All_copayit + β3Postt + β4[Some_copayitPostt] + β5 [All_copayitPostt] + ′zit) Where: Some_copayit is an indicator that patient i was subject to the copayment for some medications in period t, All_copayit is an indicator that the patient was subject to the copayment for all medications, Postt is an indicator whether the copayment increase was applicable in period t, Some_copayitPostt and All_copayitPostt indicate patients subject to the copayment after the copayment increase zit are other patient characteristics
Analysis • To examine the impact of copay increase on discontinuation of VA pharmacy services (for all chronic medications, Rx-only medications, OTC medications, and medications for specific conditions), • we used multivariable logistic regression models to examine the probability of discontinuing VA pharmacy use for medications after the copayment increase • For all models, the veterans with no medication copayments were the reference group
Analysis • For each logistic regression model, we included only patients who had a prescription for the type of medication being examined
Monthly 30-Day SuppliesAll Chronic Drugs Copay Increase
Adjusted Change in Number of 30-Day Supplies Annually After Copay IncreaseAll Chronic Drugs
Adjusted Change in Number of 30-Day Supplies Annually After Copay Increase
Percentage Reduction in Annual Number of 30-Day Supplies Following Copay Increase
Change in Number of 30-Day Supplies After Copay By Medication User Groups NS NS = Not Significant; for all other values P < 0.01 NS Copays for No Drugs Copays for All Drugs Copays for Some Drugs
Percent of Patients Discontinuing VA Pharmacy After Copay Increase * * * P < 0.001 * * * *
Percent of Patients Discontinuing VA Pharmacy After Copay Increase * * * * * * * * P < 0.001 * * * *
Discontinuation of VA Pharmacy UseOdds Ratios from Logistic Regression Analyses * P < 0.001
Discontinuation of VA Pharmacy UseOdds Ratios from Logistic Regression Analyses * P < 0.001
Discontinuation of VA Pharmacy UseOdds Ratios from Logistic Regression Analyses * P < 0.001
Conclusions • For veterans subject to the copayment, the number of 30-day supplies from VA fell following the copayment increase • The copayment increase had a larger effect as the number of different drugs that patients received increased • E.g., for high medication users with copays for all drugs • Copays increased > 300% annually ($218 to $670) • Drug acquisition decreased 12%
Conclusions • Longer-term follow-up is needed to determine if the decrease in drug acquisition of moderately high or high medication users had adverse health effects