Association Between Clinical Value and Financial Cost of Cancer Treatments: A Cross-Sectional Analysis

Prior Authorization and Association With Delayed or Discontinued Prescription Fills

PURPOSE

Prior authorization requirements are increasing but little is known about their effects on access to care. We examined the association of a new prior authorization policy with delayed or discontinued prescription fills for oral anticancer drugs among Medicare Part D beneficiaries.

METHODS

Using Medicare part D claims data from 2010 to 2020, we studied beneficiaries regularly filling one of 11 oral anticancer drugs, defined as three 30-day fills in 120 days preceding the plan's prior authorization policy change on that drug and continuously enrolled in the same plan for 120 days before and after the policy change at the start of a new year. The control group consisted of beneficiaries meeting the same utilization criteria, but who were enrolled in plans at the same time that did not implement a prior authorization policy change. The outcomes of interest were discontinuation of the drug within 120 days (analyzed with regression analyses) and time (in days) to next fill after a prior authorization policy change (analyzed using a quasi-experimental difference-in-differences event study).

RESULTS

The introduction of a new prior authorization on an established drug increased the odds of discontinuation within 120 days (adjusted odds ratio, 7.1 [95% CI, 6.0 to 8.5]; P < .001) and increased time to next fill by 9.7 days (95% CI, 8.2 to 11.2; P < .001), relative to patients whose plans did not have a prior authorization policy change.

CONCLUSION

Introduction of a new prior authorization policy on an established drug regimen is associated with increased probability of discontinued and delayed care. For some conditions, this may represent a clinically consequential barrier to access. Waiving prior authorization for patients already established on a drug may improve adherence.

Clinical benefit, development, innovation, trials, epidemiology, and price for cancer drugs and indications with multiple special FDA designations

BACKGROUND

This study analyzes the development, US Food and Drug Administration (FDA) approval, benefits, innovation, trials, epidemiology, and price of cancer drugs with multiple special designations: orphan, fast track, accelerated approval, priority review, and breakthrough therapy.

METHODS

In total, 355 FDA-approved cancer drug indications with 841 special designations were identified (2012-2022). Trial, epidemiology, and price data were collected from FDA labels, the Global Burden of Disease study, and Medicare and Medicaid. The association between efficacy outcomes and indications' number of special designations were compared in meta-analyses.

RESULTS

Median development times were 7.3, 7.8, and 5.4 months (P = .027) for drugs with 0 to 1, 2 to 3, and 4 to 5 special designations, respectively. Multiple special designations were associated with higher biotechnological and clinical innovation. Median patient enrollment in trials were 615, 471, 398, 168, 104, and 120 (P < .001) for indications with 0 to 5 special designations. Drugs for rare diseases supported by open-label phase 1/2 trials of single-arm design were granted more special designations. Hazard ratios for overall survival (0.80 vs 0.73 vs 0.73 vs 0.69 vs 0.56 vs 0.52; P = .003) and progression-free survival (0.70 vs 0.61 vs 0.59 vs 0.44 vs 0.37 vs 0.67; P < .001) substantially declined while tumor response increased with more special designations. Mean monthly prices increased for drugs with 0 to 4 but not 5 special designations ($21 596 vs $14 753 vs $32 410 vs $41 240 vs $38 703 vs $19 184).

CONCLUSIONS

Multiple special designations are associated with faster clinical development and greater benefits for patients with unmet needs but also with nonrobust trial evidence and a tendency toward higher drug prices.

Launch and Post-Launch Prices of Injectable Cancer Drugs in the US: Clinical Benefit, Innovation, Epidemiology, and Competition

BACKGROUND

Rising cancer drug prices adversely affect patients' adherence and survival.

OBJECTIVE

We aimed to identify and quantify factors associated with launch prices and post-launch price changes of injectable cancer drugs in the US from 2005 to 2023.

DATA AND METHODS

All anticancer drugs with US FDA approval between 2000 and 2022 were identified in the Drugs@FDA database. The sample was then restricted to cancer drugs covered under Medicare Part B (injectable drugs). Data characterizing each drug's clinical benefits, disease epidemiology, approved indications, competition, and price were obtained from FDA labels, the Global Burden of Disease study, and the Centers for Medicare and Medicaid Services. The association between launch/post-launch prices and collected variables was assessed in random-effects regressions.

RESULTS

Of 170 cancer drugs with FDA approval between 2000 and 2022, we identified 66 (39%) injectable cancer drugs with quarterly price data from 2005 to 2023. In 2023, mean prices amounted to $27,688 per month, with an average price increase of 94% from 2005 to 2023. Launch and post-launch price changes were significantly associated with the treated disease epidemiology. A 1% decline in disease incidence was associated with a 0.2511% (p = 0.008) increase in launch prices and a 0.0086% (p = 0.032) annual increase in post-launch prices. Accordingly, launch prices were 120% (p = 0.051) higher for orphan than non-orphan drugs, with 3% (p = 0.008) greater annual post-launch price increases. Post-launch prices declined by up to -2% annually as new supplemental indications were approved for the same drug. We found no consistent association between launch/post-launch prices and the drugs' clinical benefit in terms of overall survival, progression-free survival, and tumor response. The market entry of new competitors was not associated with price reductions. 28 of 33 drug pairs within the same class had positive correlation coefficients. Pearson correlation coefficients were high (>0.80) for PD-1/PD-L1 inhibitors, CD38 antibodies, CD20 antibodies, HER2 antibodies, and mTOR inhibitors.

CONCLUSIONS

Cancer drug prices regularly increase faster than inflation; however, there is no evidence that launch prices and post-launch price changes are aligned with the clinical benefit a drug offers to patients. In particular, patients with rare diseases experience greater price increases for their orphan drugs. There is no evidence that brand-brand competition results in drug price reductions.

Cancer Drug Prices in the United States: Efficacy, Innovation, Clinical Trial Evidence, and Epidemiology

OBJECTIVES

Rising cancer drug prices challenge patients and healthcare systems. Although prices are routinely assigned to original drug indications receiving US Food and Drug Administration (FDA) approval, the pricing of supplemental indication approvals remains uncertain. This study identifies and quantifies factors associated with cancer drug prices, distinctly analyzing original and supplemental indications.

METHODS

Clinical trial evidence and epidemiologic data supporting new indications' FDA approval (2003-2022) were collected from the Drugs@FDA database, ClinicalTrials.gov, and Global Burden of Disease study. Indication-specific monthly treatment costs were calculated for Medicare patients. The association between log-prices and collected variables were assessed in regression analyses.

RESULTS

We identified 145 drugs approved across 373 cancer indications. Drugs were priced at $24 444 per month on average (median = $16 013). For original indications, prices weakly correlated to improvements in overall survival (β = 0.28, P = .037) and progression-free survival (β = 0.16, P = .001). Original indications' prices were as follows: (1) negatively associated with disease incidence (β = -0.21, P < .001) and prevalence; (2) positively correlated with first-in-class drugs (26%, P = .057), gene and cell therapies (176%, P < .001), hematologic cancers (62%, P < .001), and severe diseases with substantial unmet needs (6% per disability-adjusted life-year, P < .001); and (3) negatively correlated to indications with randomized-controlled phase 3 trials. Prices were poorly associated with supplemental indications' efficacy, clinical evidence, and epidemiology.

CONCLUSIONS

Cancer drug prices are set based on the original indication's characteristics, thereby omitting the value of supplemental indications. Indication-specific pricing, coverage, and reimbursement policies considering each indication's safety, efficacy, innovativeness, and unmet needs are necessary to align a drug's value and price.

FDA approval, clinical trial evidence, efficacy, epidemiology, and price for non-orphan and ultra-rare, rare, and common orphan cancer drug indications: cross sectional analysis

OBJECTIVE

To analyze the US Food and Drug Administration (FDA) approval, trials, unmet needs, benefit, and pricing of ultra-rare (<6600 affected US citizens), rare (6600-200 000 citizens), and common (>200 000 citizens) orphan cancer drug indications and non-orphan cancer drug indications.

DESIGN

Cross sectional analysis.

SETTING

Data from Drugs@FDA, FDA labels, Global Burden of Disease study, and Medicare and Medicaid.

POPULATION

170 FDA approved drugs across 455 cancer indications between 2000 and 2022.

MAIN OUTCOME MEASURES

Comparison of non-orphan and ultra-rare, rare, and common orphan indications regarding regulatory approval, trials, epidemiology, and price. Hazard ratios for overall survival and progression-free survival were meta-analyzed.

RESULTS

161 non-orphan and 294 orphan cancer drug indications were identified, of which 25 were approved for ultra-rare diseases, 205 for rare diseases, and 64 for common diseases. Drugs for ultra-rare orphan indications were more frequently first in class (76% v 48% v 38% v 42%; P<0.001), monotherapies (88% v 69% v 72% v 55%; P=0.001), for hematologic cancers (76% v 66% v 0% v 0%; P<0.001), and supported by smaller trials (median 85 v 199 v 286 v 521 patients; P<0.001), of single arm (84% v 44% v 28% v 21%; P<0.001) phase 1/2 design (88% v 45% v 45% v 27%; P<0.001) compared with rare and common orphan indications and non-orphan indications. Drugs for common orphan indications were more often biomarker directed (69% v 26% v 12%; P<0.001), first line (77% v 39% v 20%; P<0.001), small molecules (80% v 62% v 48%; P<0.001) benefiting from quicker time to first FDA approval (median 5.7 v 7.1 v 8.9 years; P=0.02) than those for rare and ultra-rare orphan indications. Drugs for ultra-rare, rare, and common orphan indications offered a significantly greater progression-free survival benefit (hazard ratio 0.53 v 0.51 v 0.49 v 0.64; P<0.001), but not overall survival benefit (0.50 v 0.73 v 0.71 v 0.74; P=0.06), than non-orphans. In single arm trials, tumor response rates were greater for drugs for ultra-rare orphan indications than for rare or common orphan indications and non-orphan indications (objective response rate 57% v 48% v 55% v 33%; P<0.001). Disease incidence/prevalence, five year survival, and the number of available treatments were lower, whereas disability adjusted life years per patient were higher, for ultra-rare orphan indications compared with rare or common indications and non-orphan indications. For 147 on-patent drugs with available data in 2023, monthly prices were higher for ultra-rare orphan indications than for rare or common orphan indications and non-orphan indications ($70 128 (£55 971; €63 370) v $33 313 v $16 484 v $14 508; P<0.001). For 48 on-patent drugs with available longitudinal data from 2005 to 2023, prices increased by 94% for drugs for orphan indications and 50% for drugs for non-orphan indications on average.

CONCLUSIONS

The Orphan Drug Act of 1983 incentivizes development of drugs not only for rare diseases but also for ultra-rare diseases and subsets of common diseases. These orphan indications fill significant unmet needs, yet their approval is based on small, non-robust trials that could overestimate efficacy outcomes. A distinct ultra-orphan designation with greater financial incentives could encourage and expedite drug development for ultra-rare diseases.