UNASSIGNED: Anti-vascular endothelial growth factor (VEGF) intravitreal injections, a mainstay of treatment for many retinal diseases to optimize visual outcomes, have been included in prior authorization (PA) initiatives. However, if clinicians are extremely accurate in their use of anti-VEGF medications, such administrative burdens may need reconsideration.
UNASSIGNED: To quantify PA for anti-VEGF medications (aflibercept, ranibizumab, and bevacizumab) that were approved and determine associated administrative burdens experienced by retina practices.
UNASSIGNED: Prospective multicenter quality improvement study conducted from January 2022 through June 2022, and participants were 9 private retina practices across the US.
UNASSIGNED: Overall rate of approval of PA requests, reasons for requesting PA, and overall rate of delay of care resulting from PA procedures.
UNASSIGNED: In total, 2365 PA requests were recorded, 2225 of which met inclusion criteria. Overall, 2140 (96.2%) requests were approved. The most common reason for requesting PA, at 64% (1423 of 2225 requests), was reauthorization for a previously utilized medication. Of the 2140 approvals, 59.6% (1277) resulted in a delay in care greater than 24 hours, and 40% (863) were given on the date of service. In a granular analysis of a subset of delayed approvals, 23.9% (173 of 725) were approved within 1 day, 15.9% (115 of 725) were approved within 2 to 3 days, 21.5% (156 of 725) were approved within 4 to 7 days, 26.3% (191 of 725) were approved within 8 to 31 days, and 12.4% (90 of 725) were approved within more than 31 days. Overall, PA denial for step therapy was 2.9% (65 of 2225) of requests and uncovered diagnoses was 0.9% (20 of 2225) of requests. The median staff time spent to obtain a single PA was 100 (range, 0-200) minutes.
UNASSIGNED: In this study, PA requests were almost always approved but led to a delay in patient care in most patients. The current study suggests that the PA process may not be effective for retina specialists if these results can be generalized to other practices in the US and if less burdensome and less costly approaches could result in similar approval rates. Potential short-term solutions may include eliminating the PA process for bevacizumab and reauthorizations for established patients.

BACKGROUND: Despite advances in atopic dermatitis (AD) treatments, many patients face challenges obtaining medications. This study aimed to determine the frequency and causes of insurance coverage delays and denials for AD prescriptions and characterize the associated wait times and extent to which patients understand what to do when faced with a coverage issue.
METHODS: This was a cross-sectional, observational study in which adult U.S. residents (aged 18+ years) with AD or caregivers of pediatric U.S. patients with AD (aged 0-17 years) completed an online survey (3 June-16 July 2021).
RESULTS: Respondents (N = 978) were primarily adults with AD (81.8%), female (67.7%), and white (70.2%). There were 645 insurance delays or denials for AD prescriptions, with 48.1% (470/978) of respondents experiencing at least one delay/denial in the past year. Most delays/denials were for topical steroids (39.2%, 253/645), the most highly used prescription treatment class (83.9%, 821/978). However, the highest rate of delay/denials was for biologics, of which 43.6% (109/250) of all prescriptions faced a delay or denial. Denials were caused primarily by step therapy (27.6%) and delays by prior authorization (55.1%). Only 56.0% of respondents said they would know what to do if they faced an issue with AD prescription coverage.
CONCLUSIONS: Patients with AD frequently experience insurance-related barriers to obtaining recommended therapies, and many do not know how to respond when these barriers arise. Strategies to improve timely therapeutic access are needed.

US health care administrative spending is approximately $1 trillion annually. A major operational area is the financial transactions ecosystem, which has approximately $200 billion in spending annually. Efficient financial transactions ecosystems from other industries and countries exhibit 2 features: immediate payment assurance and high use of automation throughout the process. The current system has an average transaction cost of $12 to $19 per claim across private payers and providers for more than 9 billion claims per year; each claim on average takes 4 to 6 weeks to process and pay. For simple claims, the transaction cost is $7 to $10 across private payers and providers; for complex claims, $35 to $40. Prior authorization on approximately 5000 codes has an average cost of $40 to $50 per submission for private payers and $20 to $30 for providers. Interventions aligned with a more efficient financial transactions ecosystem could reduce spending by $40 billion to $60 billion; approximately half is at the organizational level (scaling interventions being implemented by leading private payers and providers) and half at the industry level (adopting a centralized automated claims clearinghouse, standardizing medical policies for a subset of prior authorizations, and standardizing physician licensure for a national provider directory).

To measure and compare the scope of US insurers\' policies for prior authorization (PA), a process by which insurers assess the necessity of planned medical care, and to quantify differences in PA across insurers, physician specialties, and clinical service categories.
Cross sectional analysis.
PA policies for five insurers serving most of the beneficiaries covered by privately administered Medicare Advantage in the US, 2021, as applied to utilization patterns observed in Medicare Part B.
30 540 086 beneficiaries in traditional Medicare Part B.
Proportions of government administered traditional Medicare Part B spending and utilization that would have required PA according to Medicare Advantage insurer rules.
The insurers required PA for 944 to 2971 of the 14 130 clinical services (median 1899; weighted mean 1429) constituting 17% to 33% of Part B spending (median 28%; weighted mean 23%) and 9% to 41% of Part B utilization (median 22%; weighted mean 18%). 40% of spending ($57bn; £45bn; €53bn) and 48% of service utilization would have required PA by at least one insurer; 12% of spending and 6% of utilization would have required PA by all insurers. 93% of Part B medication spending, or 74% of medication use, would have required PA by at least one Medicare Advantage insurer. For all Medicare Advantage insurers, hematology and oncology drugs represented the largest proportion of PA spending (range 27-34%; median 33%; weighted mean 30%). PA rates varied widely across specialties.
PA policies varied substantially across private insurers in the US. Despite limited consensus, all insurers required PA extensively, particularly for physician administered medications. These findings indicate substantial differences in coverage policies between government administered and privately administered Medicare. The results may inform ongoing efforts to focus PA more effectively on low value services and reduce administrative burdens for clinicians and patients.

UNASSIGNED: PARP inhibitors (PARP-I) improve survival in ovarian cancer, especially in patients with germline or somatic BRCA mutations or other homologous recombination deficiency (HRD). With high efficacy and costs, insurers may enact barriers or facilitators to PARP-I. Our objective was to examine the prevalence of prior authorization for PARP-I in ovarian cancer.
UNASSIGNED: We performed a retrospective cross-sectional study of patients with ovarian cancer prescribed a PARP-I within the University of Pennsylvania practices from December 2018 through May 2021. We assessed prevalence of prior authorization for PARP-I overall, by frontline or recurrent maintenance, and by genetic status. We then assessed approval and appeal rates and time to PARP-I start.
UNASSIGNED: Of 180 patients with a PARP-I prescription and information regarding prior authorization, 116 (64 %, 95 % CI 57-71) experienced prior authorization. Of patients in the frontline setting, 60 of 90 (67 %, 95 % CI 56-76) experienced prior authorization. Of patients prescribed PARP-I in recurrence, 55 of 85 (65 %, 95 % CI 54-74) experienced prior authorization. Having a germline or somatic genetic mutation was associated with higher risk of prior authorization (adjusted risk ratio 1.35, 95 %CI 1.09-1.67). 102 patients (89 %, 95 % CI 83-94) required one appeal, 8 required two appeals and 5 cases required 3 appeals. Five patients were denied. Mean time from PARP-I prescription to PARP-I start was 10 days longer for patients who experienced prior authorization.
UNASSIGNED: 64% of patients experienced prior authorization for PARP-I. Risk of prior authorization was increased for patients with BRCA, despite greater clinical benefit. Prior authorization contributes to delays in care, and reform is needed.

BACKGROUND: The medical system in the United States has been riddled with insurance restrictions used by insurance companies to limit health care costs. The effects of insurance restrictions on patients receiving disease-modifying therapies for multiple sclerosis (MS) have not been specifically studied.
METHODS: A retrospective cross-sectional study of 52 individuals recently diagnosed with MS at a tertiary neurology clinic was conducted to measure the association between prior authorization (PA) duration and other variables of interest. The Cox proportional hazards model was used to determine likelihood of approval. Further analysis included multivariable logistic regression to assess the influence of variables of interest on the initial decision from the insurance company and the effect of the PA on disease activity.
RESULTS: Of 52 PAs, 50% were initially denied. An initial denial decreased the likelihood of approval by 98% (HR, 0.02; 95% CI, <0.01-0.09; P < .001). The odds of denial for oral medications (odds ratio [OR], 4.91; 95% CI, 1.33-21.52; P = .02) and infusions (OR, 8.35; 95% CI, 1.10-88.77; P = .05) were significantly higher than for injections. Medicaid had higher odds of denial compared with commercial insurance (OR, 4.51; 95% CI, 1.13-22.01; P = .04). An initial denial by insurance significantly increased the likelihood of disease activity (OR, 6.18; 95% CI, 1.33-44.86; P = .03).
CONCLUSIONS: Insurance restrictions delay necessary treatments, increase the likelihood of disease activity, and rarely change the approved disease-modifying therapy. Reducing PAs may lead to improved outcomes for patients with MS.

Buprenorphine is among the most effective drugs for treating opioid use disorder, yet only a quarter of Americans who need it receive it. Requiring prior authorization has been identified as an important barrier to buprenorphine access. However, the practice remains widespread in Medicaid-the largest insurer of Americans with opioid use disorder. In this study, we examined how prior authorization for buprenorphine is related to plan structure and state political environment, using data on all 266 comprehensive Medicaid managed care plans active in 2018. We found substantial variation in prior authorization use across states, with all plans requiring prior authorization in eleven states and no plans requiring it in thirteen other states. We found that for-profit plans and those located in Republican states were more likely to impose prior authorization policies. Our findings suggest that managed care plans\' decisions regarding use of prior authorization may be shaped by internal pressures to control costs, as well as by differing partisan stances regarding the need to prevent criminal diversion of buprenorphine.

OBJECTIVE: 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.
CONCLUSIONS: 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.

UNASSIGNED: Obtaining prior authorization (PA) before treatment is becoming increasingly burdensome in oncology, especially in radiation oncology. Here, we describe the impact of a strategic novel operational PA redesign to shorten authorization time and to improve patient access to cancer care at a large United States academic proton therapy center. We ask whether such a redesign may be replicable and adoptable across oncology centers.
UNASSIGNED: Our PA redesign strategy was based on a 3-tiered approach. Specifically, we (1) held payors accountable to legally backed timelines, (2) leveraged expertise on insurance policies and practices, and (3) updated the submission, appeal writing, and planning procedures for PA. Metrics were compared at the following 3 time points: 6 months before, at phase-in, and at 6 months after intervention.
UNASSIGNED: In analyzing the impact of improving PA access to care, the percentage of approvals for commercial proton beam therapy improved by an absolute 30.6% postintervention (P < .001). The proportion of commercially insured patients treated with proton beam therapy also increased by 6.2%, and the number of new starts rose by 11.7 patients/mo. Overall patient census increased by 13 patients/d. Median authorization time was 1 week, and 90% of surveyed providers reported reduced PA burden and improved patient care.
UNASSIGNED: This is the first validated, comprehensive operational strategy to improve access to cancer therapy while reducing the burden of PA. This novel approach may be helpful for addressing barriers to PA in medical and surgical oncology because the redesign is predicated on laws that regulate PA across disciplines.

Oral anticancer drugs (OACDs) have become increasingly prevalent over the past decade. OACD prescriptions require coordination between payers and providers, which can delay drug receipt. We examined the association between insurance type, pursuit of copayment assistance, pursuit of prior authorization (PA), and time to receipt (TTR) for new OACD prescriptions.
We prospectively collected data on new OACD prescriptions for adult oncology patients from January 1, 2018, to December 31, 2019, including demographic and clinical characteristics, insurance type, and pursuit of PA and copayment assistance. TTR was defined as the number of days from prescription to OACD receipt. We summarized TTR using cumulative incidence and compared TTR by insurance type, pursuit of copayment assistance, and PA activity using the log-rank test.
Our cohort of 1,024 patients was 53% male, and 40% were younger than 65. Twenty-six percent had commercial insurance only, 16% had Medicaid only, and 59% had Medicare with or without additional insurance. Eighty-six percent of prescriptions were successfully received. Across all prescriptions, 69% involved PA activity, and 21% involved the copayment assistance process. In unadjusted analyses, prescriptions involving the copayment assistance process had longer TTR compared with those not involving assistance (log-rank P value = .005) and OACDs covered by Medicare/commercial insurance had a longer TTR compared with Medicaid (log-rank P value = .006). The PA process was not associated with TTR (log-rank P value = .124).
The process for obtaining OACDs is complex. The copayment assistance process and Medicare/commercial insurance are associated with delayed TTR. New policies are needed to reduce time to OACD receipt.