Longitudinal Monitoring of Clinician-Patient Video Visits During the Peak of the COVID-19 Pandemic: Adoption and Sustained Challenges in an Integrated Health Care Delivery System.

BACKGROUND: Numerous prior opinion papers, administrative electronic health record data studies, and cross-sectional surveys of telehealth during the pandemic have been published, but none have combined assessments of video visit success monitoring with longitudinal assessments of perceived challenges to the rapid adoption of video visits during the pandemic. OBJECTIVE: This study aims to quantify (1) the use of video visits (compared with in-person and telephone visits) over time during the pandemic, (2) video visit successful connection rates, and (3) changes in perceived video visit challenges. METHODS: A web-based survey was developed for the dual purpose of monitoring and improving video visit implementation in our health care system during the COVID-19 pandemic. The survey included questions regarding rates of in-person, telephone, and video visits for clinician-patient encounters; the rate of successful connection for video visits; and perceived challenges to video visits (eg, software, hardware, bandwidth, and technology literacy). The survey was distributed via email to physicians, advanced practice professionals, and clinicians in May 2020. The survey was repeated in March 2021. Differences between the 2020 and 2021 responses were adjusted for within-respondent correlation across surveys and tested using generalized estimating equations. RESULTS: A total of 1126 surveys were completed (511 surveys in 2020 and 615 surveys in 2021). In 2020, only 21.7% (73/336) of clinicians reported no difficulty connecting with patients during video visits and 28.6% (93/325) of clinicians reported no difficulty in 2021. The distribution of the percentage of successfully connected video visits ("Over the past two weeks of scheduled visits, what percentage did you successfully connect with patients by video?") was not significantly different between 2020 and 2021 (P=.74). Challenges in conducting video visits persisted over time. Poor connectivity was the most common challenge reported by clinicians. This response increased over time, with 30.5% (156/511) selecting it as a challenge in 2020 and 37.1% (228/615) in 2021 (P=.01). Patients not having access to their electronic health record portals was also a commonly reported challenge (109/511, 21.3% in 2020 and 137/615, 22.3% in 2021, P=.73). CONCLUSIONS: During the pandemic, our health care delivery system rapidly adopted synchronous patient-clinician communication using video visits. As experience with video visits increased, the reported failure rate did not significantly decline, and clinicians continued to report challenges related to general network connectivity and patient access to technology.

Adaptability of High Dimensional Propensity Score Procedure in the Transition from ICD-9 to ICD-10 in the US Healthcare System.

Background: High-Dimensional Propensity Score procedure (HDPS) is a data-driven approach to assist control for confounding in pharmacoepidemiologic research. The transition to the International Classification of Disease (ICD-9/10) in the US health system may pose uncertainty in applying the HDPS procedure. Methods: We assembled a base cohort of patients in MarketScan® Commercial Claims Database who had newly initiated celecoxib or traditional NSAIDs to compare gastrointestinal bleeding risk. We then created bootstrapped hypothetical cohorts from the base cohort with predefined patient selection patterns from the ICD eras. Three strategies for HDPS deployment were tested: 1) split the cohort by ICD era, deploy HDPS twice, and pool the relative risks (pooled RR), 2) consider codes from each ICD era as a separate data dimension and deploy HDPS in the entire cohort (data dimensions) and 3) map ICD codes from both eras to Clinical Classifications Software (CCS) concepts before deploying HDPS in the entire cohort (CCS mapping). We calculated percent bias and root-mean-squared error to compare the strategies. Results: A similar bias reduction was observed in cohorts where patient selection pattern from each ICD era was comparable between the exposure groups. In the presence of considerable disparity in patient selection, we observed a bimodal distribution of propensity scores in the data dimensions strategy, indicating instrument-like covariates. Moreover, the CCS mapping strategy resulted in at least 30% less bias than pooled RR and data dimensions strategies (RMSE: 0.14, 0.19, 0.21, respectively) in this scenario. Conclusion: Mapping ICD codes to a stable terminology like CCS serves as a helpful strategy to reduce residual bias when deploying HDPS in pharmacoepidemiologic studies spanning both ICD eras.

Assessment of the Risk Evaluation and Mitigation Strategy (REMS) for Phentermine-Topiramate to Prevent Exposure During Pregnancy.

BACKGROUND: The U.S. Food and Drug Administration approved phentermine-topiramate for obesity in 2012 and required a Risk Evaluation and Mitigation Strategy (REMS) to prevent prenatal exposure. No such requirement was introduced for topiramate. OBJECTIVE: To evaluate the rate of prenatal exposure, contraceptive use, and pregnancy testing among patients with phentermine-topiramate compared with topiramate or other antiobesity medications (AOMs). DESIGN: Retrospective cohort study. SETTING: Nationwide health insurance claims database. PARTICIPANTS: Females aged 12 to 55 years with no infertility diagnosis or sterilization procedure. Patients with other indications for topiramate were excluded to identify a cohort that was likely treated for obesity. MEASUREMENTS: Patients initiated use of phentermine-topiramate, topiramate, or an AOM (liraglutide, lorcaserin, or bupropion-naltrexone). Pregnancy at treatment initiation, conception during treatment, contraceptive use, and pregnancy testing outcomes were ascertained. Measurable confounders were adjusted for, and extensive sensitivity analyses were done. RESULTS: A total of 156 280 treatment episodes were observed. Adjusted prevalence of pregnancy at treatment initiation was 0.9 versus 1.6 per 1000 episodes (prevalence ratio, 0.54 [95% CI, 0.31 to 0.95]) for phentermine-topiramate versus topiramate. The incidence rate of conception during treatment was 9.1 versus 15.0 per 1000 person-years (rate ratio, 0.61 [CI, 0.40 to 0.91]) for phentermine-topiramate versus topiramate. Both outcomes were similarly lower for phentermine-topiramate compared with AOM. Prenatal exposure was marginally lower in topiramate users compared with AOM users. Approximately 20% of patients in all cohorts had at least 50% of treatment days covered by contraceptives. Few patients had pregnancy tests before treatment (≤5%), but this was more common among phentermine-topiramate users. LIMITATIONS: Outcome misclassification; unmeasured confounding due to lack of prescriber data to account for possible clustering and spillover effects. CONCLUSION: Prenatal exposure seemed to be significantly lower among phentermine-topiramate users under the REMS. Pregnancy testing and contraceptive use appeared to be inadequate for all groups, which deserves attention to prevent the remaining potential exposures. PRIMARY FUNDING SOURCE: None.

Comparative Safety and Effectiveness of Aldosterone Antagonists Versus Beta-Blockers as Fourth Agents in Patients With Apparent Resistant Hypertension.

BACKGROUND: Limited evidence exists regarding long-term effectiveness and safety of aldosterone antagonists (AAs) versus beta blockers (BBs) as fourth-line antihypertensive agents in patients with resistant hypertension (RH). We evaluated the comparative effectiveness and safety of aldosterone AA versus BB. METHODS: We conducted a real-world retrospective cohort study using IBM MarketScan commercial claims and Medicare Supplemental claims (2007-2019). Patients with RH entered the cohort (ie, index date) when they newly initiated either AA or BB. The effectiveness outcome was major adverse cardiovascular events. Safety outcomes were hyperkalemia, gynecomastia, and kidney function deterioration. Potential confounding was addressed by adjustment for baseline characteristics via stabilized inverse probability of treatment weighting (SIPTW) based on propensity scores. Cox proportional hazards regression with SIPTWs were used to estimate adjusted hazard ratio (aHR) and 95% CI comparing risk for outcomes between AA and BB groups. RESULTS: We identified 80 598 patients with RH (mean age: 61 years, 51% males), of which 6626 initiated AA and 73 972 initiated BB as the fourth antihypertensive agent. Among patients with RH, initiation of AA as a fourth-line antihypertensive agent did not significantly reduce major adverse cardiovascular event risk relative to BB initiation (aHR, 0.77 [95% CI, 0.50-1.19]) but did substantially increase the risk of hyperkalemia (aHR, 3.86 [95% CI, 2.78-5.34]), gynecomastia (aHR, 9.51 [95% CI, 5.69-15.89]), and kidney function deterioration (aHR, 1.63 [95% CI, 1.34-1.99]). CONCLUSIONS: Long-term clinical trials powered to assess major adverse cardiovascular events are necessary to understand the risk-benefit trade-off of AA as fourth-line therapy for RH.

Projected Impact of the Medicare Part D Senior Savings Model on Diabetes-Related Health and Economic Outcomes Among Insulin Users Covered by Medicare.

OBJECTIVE: The Medicare Part D Senior Savings Model (SSM) took effect on 1 January 2021. In this study we estimated the number of beneficiaries who would benefit from SSM and the long-term health and economic consequences of implementing this new policy. RESEARCH DESIGN AND METHODS: Data for Medicare beneficiaries with diabetes treated with insulin were extracted from the 2018 Medical Expenditure Panel Survey. A validated diabetes microsimulation model estimated health and economic impacts of the new policy for the 5-year initial implementation period and a 20-year extended policy horizon. Costs were estimated from a health system perspective. RESULTS: Of 4.2 million eligible Medicare beneficiaries, 1.6 million (38.3%) would benefit from the policy, and out-of-pocket (OOP) costs per year per beneficiary would decrease by 61% or $500 on average. Compared with non-White subgroups, the White population subgroups would have a higher proportion of SSM enrollees (29.6% vs. 43.7%) and a higher annual OOP cost reduction (reduction of $424 vs. $531). Among the SSM enrollees, one-third (605,125) were predicted to have improved insulin adherence due to lower cost sharing and improved health outcomes. In 5 years, the SSM would 1) avert 2,014 strokes, 935 heart attacks, 315 heart failure cases, and 344 end-stage renal disease cases; 2) gain 3,220 life-years and 3,381 quality-adjusted life-years (QALY); and 3) increase insulin cost and total medical cost by $3.5 billion and $2.8 billion. In 20 years, the number of avoided clinical outcomes, number of life-years and QALY gained, and the total and insulin cost would be larger. CONCLUSIONS: The Medicare SSM may reduce the OOP costs for approximately one-third of the Medicare beneficiaries treated with insulin, improving health outcomes via increased insulin adherence. However, the SSM will also increase overall Medicare spending for insulin and overall medical costs, which may impact future premiums and benefits. Our findings can inform policy makers about the potential impact of the new Medicare SSM.

Patient out-of-pocket and payer costs for pegfilgrastim originator vs biosimilars as primary prophylaxis of febrile neutropenia in the first cycle among a commercially insured population.

BACKGROUND: It is unknown whether using pegfilgrastim biosimilars is cost saving in a real-world setting. OBJECTIVE: To compare medical costs including pegfilgrastim drug costs and febrile neutropenia (FN) treatment and management costs between pegfilgrastim biosimilars (pegfilgrastim-jmdb, pegfilgrastim-cbqv) and originator users for primary prophylaxis of febrile neutropenia. METHODS: A retrospective cohort study using 2019 IBM MarketScan Commercial and Medicare Supplemental databases was conducted in adult patients with cancer initiating myelosuppressive chemotherapy courses. At least 2 diagnoses of the same cancer (at least 7 days apart) were required within 30 days of the chemotherapy initiation date. Pegfilgrastim (excluding on-body injector) costs included drug costs only (excluding administration fees). FN-related costs included all FN-related health care utilizations that were defined as having neutropenia, fever, or infection diagnosis. Per-patient per-cycle (PPPC) out-of-pocket (OOP) costs, health plan costs, and total costs were compared between originator (excluding on-body injector) and biosimilars users in the first cycle. A generalized linear model and a 2-part model were used. RESULTS: A total of 1,930 patients were included, of whom 884 (45.8%) used pegfilgrastim originator, 427 (22.1%) used pegfilgrastim-jmdb, and 619 (32.1%) used pegfilgrastim-cbqv. Adjusted PPPC OOP pegfilgrastim costs in the first cycle were significantly lower for the biosimilars vs the originator ($182 for pegfilgrastim-jmdb and $159 for pegfilgrastim-cbqv vs $299 for originator, P < 0.0001 for both comparisons). However, there was no difference in health plan costs ($5,783 for pegfilgrastim-jmdb and $5,845 for pegfilgrastim-cbqv vs $5,618 for originator) and total costs. In addition, no difference was observed for adjusted PPPC FN treatment and management OOP costs, health plan costs, and total costs in the first cycle. FN treatment OOP costs were $192 for originator, $197 for pegfilgrastim-jmdb (P = 0.958), and $240 for pegfilgrastim-cbqv (P = 0.680). FN treatment health plan costs were $2,804 for originator, $2,970 for pegfilgrastim-jmdb (P = 0.692), and $2,745 for pegfilgrastim-cbqv (P = 0.879). CONCLUSIONS: In a commercially insured population, using pegfilgrastim biosimilars in the first cycle for primary prophylaxis of FN led to cost savings for patients but not payers. No difference in FN-related costs was observed.

Norepinephrine reuptake inhibitors and risk of antihypertensive treatment intensification and major adverse cardiovascular events in patients with stable hypertension and depression.

STUDY OBJECTIVE: To compare the risk of antihypertensive treatment intensification (TI) and major adverse cardiovascular events (MACE) with the initiation of serotonin norepinephrine reuptake inhibitors compared to selective serotonin reuptake inhibitors (SSRIs) in patients with stable hypertension and depression. DESIGN: Retrospective cohort study. DATA SOURCE: IBM MarketScan® commercial claims database and Medicare Supplemental claims database from 2007 to 2019. PATIENTS: Patients aged 18 years or older with stable treated hypertension and depression who newly initiate either serotonin norepinephrine reuptake inhibitors or SSRIs. INTERVENTION: Serotonin norepinephrine reuptake inhibitors versus SSRIs. MEASUREMENTS AND MAIN RESULTS: The primary outcomes were: (1) TI (first occurrence of antihypertensive regimen augmentation or dose escalation); (2) MACE (first occurrence of stroke or acute myocardial infarction). Baseline risk between the two groups was balanced via 1:1 propensity score (PS) matching. A Cox proportional hazard regression model was used to estimate adjusted hazard ratio (aHR) and 95% confidence intervals (95% CI). After 1:1 PS matching, we included 19,160 patients in the study cohort (mean age: 52 years, 62% females) of which 9580 initiated serotonin norepinephrine reuptake inhibitors and 9580 initiated SSRIs. Patients who initiated serotonin norepinephrine reuptake inhibitors had 15 MACE events (incidence rate per 1000 person-years [IR], 3.9) and 1675 TI events (IR, 540.2), compared with 17 MACE events (IR, 4.0) and 1774 TI events (IR, 518.5) in the SSRI group. The risk of TI (aHR: 1.01, [95% CI: 0.94, 1.08]) and MACE (aHR: 0.98, [95% CI: 0.49, 1.96]) did not differ among patients initiated serotonin norepinephrine reuptake inhibitors versus SSRIs. CONCLUSIONS: Among patients with stable hypertension and depression, initiation of serotonin norepinephrine reuptake inhibitors had a similar risk of antihypertensive TI and MACE compared to initiation of SSRIs. Future study with a larger sample size is needed to confirm our findings.

Health Care Utilization and Costs Associated With Systemic First-Line Metastatic Melanoma Therapies in the United States.

PURPOSE: US Food and Drug Administration approvals of immune checkpoint inhibitors and targeted therapies revolutionized the treatment of metastatic melanoma. Our aim was to assess health care resource utilization and costs for patients with metastatic melanoma treated with systemic therapies in first line between January 2012 and December 2017. METHODS: We conducted a retrospective cohort study of patients with metastatic melanoma using MarketScan data. We included patients diagnosed with melanoma and secondary malignant neoplasm who used pembrolizumab, nivolumab, ipilimumab, ipilimumab plus nivolumab, BRAF-inhibitor (BRAF-i) plus MEK inhibitor (MEK-i), BRAF-i or MEK-i monotherapy, or chemotherapy in first line. We compared health care utilization and costs per patient per month (PPPM) using two-part and generalized linear models. RESULTS: We identified 1,870 patients, including 185 pembrolizumab, 103 nivolumab, 689 ipilimumab, 185 nivolumab plus ipilimumab, 214 BRAF-i plus MEK-i, 240 BRAF-i or MEK-i monotherapy, and 254 chemotherapy users. Highest PPPM rates of hospitalizations, emergency room visits, and outpatient visits were observed in patients with ipilimumab plus nivolumab therapy (adjusted difference v pembrolizumab [aDiff], 0.18, 0.12, and 0.88, respectively; all P < .001). Ipilimumab monotherapy users (aDiff, 0.07 and 0.93; all P < .001) and chemotherapy users (aDiff, 0.10 and 2.63; all P < .001) showed higher PPPM rates of hospitalizations and outpatient visits compared with pembrolizumab users, respectively. Utilization rates in nivolumab, BRAF-i plus MEK-i, and BRAF-i or MEK-i groups were similar to the pembrolizumab group. Highest PPPM total costs and drug-related costs were observed in the ipilimumab group ($80,139 US dollars [USD] and $70,051 USD; all P < .001), followed by the ipilimumab plus nivolumab ($71,689 USD and $56,217 USD; all P < .001) and the BRAF-i plus MEK-i group ($31,184 USD and $19,648 USD; all P < .001). PPPM costs in the nivolumab group were similar to the pembrolizumab group. CONCLUSION: Significant differences in health care resource utilization and costs were found across first-line metastatic melanoma regimens. Utilization rates were highest in patients using ipilimumab-containing therapies. High drug costs constituted a major fraction of total PPPM health care costs.

A survey assessment of clinician perceptions of opioid supply and monitoring requirement policy changes.

OBJECTIVE: Florida-mandated Prescription Drug Monitoring Program (PDMP) use and restricted Schedule II opioid dispensing for acute pain to 3-day supply in 2018. This study assessed physician perception of these policies. DESIGN: A cross-sectional study design. SETTING: Large academic medical center. PATIENTS/PARTICIPANTS: Physicians in inpatient and outpatient practice, as stratified by physician specialty for psychiatry or addiction medicine (Psych/AM), primary care, and others. INTERVENTIONS: A survey was administered electronically from July to September 2019, with survey items adapted from published opioid policy evaluations. MAIN OUTCOME MEASURE: Assessment of physician reason for the use of PDMP and perception of PDMP clinical utility. Responses by specialty were compared via chi square testing. RESULTS: There were N = 214 responses (response rate ~10.9 percent), representing n = 15 from Psych/AM, n = 58 primary care, and n = 143 from other specialties. The most frequently reported reason for PDMP use across specialties was to examine prescribing history for patients currently using opioid analgesics (6.7 percent Psych/AM; 50.1 percent primary care; 38.6 percent others; p = 0.027). Fewer Psych/AM physicians agreed that the policy hinders the clinical work day as compared with primary care physicians (46.7 percent vs. 58.6 percent). More primary care agreed the policy was a good idea relative to Psych/AM (62.1 percent vs. 53.3 percent). More primary care than Psych/AMs agreed that the policy made it more challenging for chronic pain patients to access opioid therapies (77.6 percent vs. 53.3 percent). CONCLUSIONS: The perceived workflow burden and unintended consequence of decreased chronic pain patient access to opioid pharmacotherapies suggest further opportunities for pharmacist-physician collaboration in managing affected patients.

Comparative pharmacovigilance assessment of mortality with pimavanserin in Parkinson disease-related psychosis.

BACKGROUND: Pimavanserin is approved for treatment of Parkinson disease (PD)-related psychosis, but its use has been associated with an increased risk of death during clinical trials, as well as during postmarketing surveillance. Previous reports on the association between pimavanserin and mortality have not taken into account limitations of data sources nor included comparable populations or comparisons to relevant treatment alternatives. OBJECTIVE: To conduct a comparative pharmacovigilance assessment of pimavanserin vs treatment alternatives and by restricting surveillance data to more representative populations. METHODS: This was a retrospective analysis of adverse event case reports submitted to the FDA's Adverse Event Reporting System (FAERS) from 2016 through 2019 quarter 3 (Q3). FAERS data are collected from the full population, were further restricted to only those with PD, and were based on PD medication use. Reports were assessed for exposure to pimavanserin, clozapine, quetiapine, haloperidol, and other atypical antipsychotics. The outcome of interest was all-cause death. A proportional reporting ratio (PRR) and 95% confidence limits were calculated for each 2 by 2 contingency of outcome (death) and exposure (pimavanserin and others). For each outcome/exposure pair, the baseline population was altered to include the full FAERS sample, only reports with PD, reports with PD treated with levodopa, and reports with PD treated with multiple PD medications. The sample was also stratified by time period before April 2018 and after September 2018 to capture periods of public knowledge and federal response. A lower 95% CI (Lower95CI) ≥ 2 for the PRR was considered as the accepted threshold for a drug safety signal. RESULTS: As of 2019 Q3, there were 2,287 reports of death associated with pimavanserin. Compared within the full FAERS base population, pimavanserin yielded a PRR Lower95CI = 2.08 but was smaller when restricted to comparison among only a base population with PD (Lower95CI = 1.09), PD treated with levodopa (Lower95CI = 1.15), or PD treated with multiple PD medications (Lower95CI = 1.63). Metrics for quetiapine, clozapine, and other atypical antipsychotics were similar in magnitude. Stratification by time showed a possible reporting bias associated with pimavanserin, since no safety signal was detected before April 2018; however, a signal was present thereafter. CONCLUSIONS: Compared in context with treatment alternatives for patients with PD, pimavanserin was not associated with excess reports of death in the FAERS data. This information should be used in shared decision making between physicians and PD patients to balance the risks and benefits of pimavanserin and other treatments for PD psychosis. DISCLOSURES: No outside funding supported this study. The authors report no disclosures or conflicts of interest relevant to this study. Armstrong receives research support from the NIA (P30AG047266, R01AG068128) and the Florida Department of Health (grant 20A08). She is the local principal investigator of a Lewy Body Dementia Association Research Center of Excellence. She also receives compensation from the American Academy of Neurology for work as an evidence-based medicine methodology consultant. She is on the level of evidence editorial board for Neurology and related publications (uncompensated), receives publishing royalties for Parkinson's Disease: Improving Patient Care (Oxford University Press, 2014), and has received an honorarium for presenting for Medscape CME in 2018. Okun serves as a consultant for the Parkinson's Foundation and has received research grants from NIH, Parkinson's Foundation, the Michael J. Fox Foundation, the Parkinson Alliance, Smallwood Foundation, the Bachmann-Strauss Foundation, the Tourette Syndrome Association, and the UF Foundation. Okun has participated as a site principal investigator and/or co-investigator for several NIH-, foundation-, and industry-sponsored trials over the years but has not received honoraria. Malaty has participated in research funded by the Parkinson Foundation, Tourette Association, Dystonia Coalition, Abbvie, Boston Scientific, Eli Lilly, Neuroderm, Pfizer, Revance, and Teva. She has received travel compensation and/or honoraria from the Tourette Association of America, NeuroChallenge Foundation and NIH/Neurobiology of Disease in Children, Parkinson Foundation, Medscape, International Association of Parkinsonism and Related Disorders, and Cleveland Clinic, and royalties from Robert Rose publishers. The other authors have no disclosures.

Patients with geographic barriers to health care access are prescribed a higher proportion of drugs with pharmacogenetic testing guidelines.

Pharmacogenetic (PGx) testing may be particularly beneficial in medically underserved populations by reducing the number of appointments required to optimize drug therapy and increasing the effectiveness of less expensive off-patent drugs. The objective of this study was to identify patient populations with poor health care access and assess prescribing trends for drugs with published PGx testing guidelines. We used electronic health record data from 67,753 University of Florida Health patients, geographic access scores calculated via the 2-step floating catchment area method, and a composite measure of socioeconomic status. Comparing the poorest (Q4) and greatest (Q1) access score quartiles, poor geographic access was significantly associated with fewer prescriber encounters (incidence rate ratio [IRR] 0.88, 95% confidence interval [CI] 0.86-0.91), fewer total unique drugs (IRR 0.92, 95% CI 0.9-0.95), and fewer PGx guideline drugs (IRR 0.94, 95% CI 0.9-0.99). After correcting for number of unique drugs, patients in low-access areas were prescribed a greater proportion of PGx guideline drugs (IRR 1.08, 95% CI 1.04-1.13). We detected significant interactions between Black race and access score. Compared to Q1, Black patients with Q4 access scores were disproportionately affected and had fewer encounters (IRR 0.76, 95% CI 0.7-0.82) and a higher proportion of PGx drugs (IRR 1.26, 95% CI 1.13-1.41), creating further disparity. Overall, these results suggest that improved geographic access to PGx testing may allow prescribers to make more efficient use of limited opportunities to optimize therapy for drugs with PGx testing guidelines.

The effects of oral anticancer parity laws on out-of-pocket spending and adherence among commercially insured patients with chronic myeloid leukemia.

BACKGROUND: Over the past 12 years, 43 states and Washington DC have implemented oral anticancer medication parity laws in response to the burden of pharmacy cost sharing. Parity laws are designed to provide equal coverage and cost sharing between orally and parenterally administered anticancer medications for patients in commercial, fully insured health plans (FIHPs). However, there is considerable state-level variation in the requirements to achieve compliance with parity laws, and the clinical and economic effectiveness of parity is not fully known. OBJECTIVES: To (a) understand the impact of parity laws on out-of-pocket (OOP) spending and adherence to tyrosine kinase inhibitors (TKI) among commercially insured patients with chronic myeloid leukemia (CML) and (b) compare these effects across states with and without per prescription or per 30-day OOP spending limits as part of their parity laws. METHODS: Patients aged 18-64 years with CML, at least 1 pharmacy claim for a TKI, and residence in a state that implemented oral anticancer parity legislation between January 1, 2007, and January 1, 2017, were identified from the IBM MarketScan Commercial Claims and Encounters database. A propensity score-weighted difference-in-difference approach was used to measure the impact of parity on OOP spending and adherence in the 6 months after the first pharmacy claim for a TKI (index date) for patients enrolled in FIHPs (subject to parity) and self-funded health plans (SFHPs; exempt from parity). OOP spending was standardized to a 30-day equivalent amount and adjusted to 2017 US dollars. Adherence was assessed using the proportion of days covered (PDC), and patients were categorized as adherent with PDC ≥ 0.80. RESULTS: Of 1,887 patients initiating a TKI before or after their state's parity law, 678 (35.9%) were enrolled in FIHPs (480 before vs 198 after parity), and 1,209 (64.1%) were enrolled in SFHPs (688 before vs 521 after parity). Implementation of parity laws was not associated with any changes in mean OOP spending; however, it was associated with a reduced likelihood of paying $0 per 30 days across all states (adjusted difference-in-difference [aDD] OR = 0.662; 95% CI = 0.535-0.820) and states without OOP spending limits (aDD OR = 0.654; 95% CI = 0.508-0.848), but not in states with limits. Nonsignificant but directionally opposite changes at each end of the OOP spending distribution were observed for states with and without OOP spending limits, with increased spending observed at the 75th, 90th, and 95th percentiles in states without limits. Mean PDC and adherence showed a nonsignificant increase among FIHP and SFHP patients across all states, states with limits, and states without limits. CONCLUSIONS: Oral anticancer parity laws are not associated with reduced OOP spending or improved adherence in a commercially insured sample of patients with CML. These findings were consistent for states that included OOP spending limits as a component of their parity laws. DISCLOSURES: This study did not receive any external funding. Spargo, Yost, Raju, and Schroader are or were employees of Xcenda, which receives contracts from various industry partners unrelated to this work. There are no other conflicts of interest to disclose.

Quantitative Benefit-Risk Assessment of P-gp-Mediated Drug-Drug Interactions of Dabigatran Coadministered With Pharmacokinetic Enhancers in Patients With Renal Impairment.

Drug-drug interactions (DDIs) between dabigatran and ritonavir/cobicistat are of major concern in people living with HIV, particularly in those with impaired renal function, because they can result in increased dabigatran exposure and thus an increased risk of major bleeding events. However, the extent of this interaction and subsequent need for dose adjustment in subjects with varying degrees of renal function is currently not yet fully understood. To close this knowledge gap, we conducted an integrated population physiologically-based pharmacokinetic/pharmacodynamic analysis linking changes in dabigatran exposure due to DDIs and varying degrees of renal function to the probability of experiencing an ischemic stroke or major bleeding event within 1 year. The results of our analysis suggest that coadministration of dabigatran etexilate (dabigatran prodrug) and ritonavir/cobicistat should be avoided in subjects with severe renal impairment. A 2-hour dose separation or dabigatran etexilate dose reduction to 110 mg b.i.d. (twice daily) should be considered in subjects with moderate renal impairment when coadministered with ritonavir, while the dabigatran etexilate dose should be further reduced to 75 mg b.i.d. when coadministered with cobicistat. No dabigatran etexilate dose adjustment is needed in subjects with normal renal function receiving ritonavir, but dabigatran etexilate dose reduction to 110 mg b.i.d. should be considered when coadministered with cobicistat.

Three-Year, Postintervention, Follow-up Comparison of Health Care Resource Utilization and Costs in the Lifestyle Interventions and Independence for Elders (LIFE) Study.

BACKGROUND: The Lifestyle Interventions and Independence for Elders (LIFE) Study physical activity (PA) intervention was found to be cost-effective compared to health education (HE). However, long-term effects postintervention are unknown. METHOD: This was a secondary analysis of LIFE Study data linked to Medicare claims data (2014-2016). Participants were linked via Social Security Numbers to Medicare claims data. Utilization and cost variables were analyzed using generalized linear models with negative binomial and Tweedie distributions. Unadjusted means and 95% confidence intervals were compared by year and overall stratified. Each model compared PA versus HE and adjusted for other baseline characteristics and stratified by study site. Additional models were stratified by baseline physical functioning assessment scores. RESULTS: Of the 1,635 LIFE Study participants, 804 (53.5%) were linked to Medicare claims with an average of 33 months of follow-up time during the 3-year data linkage period. Mean outpatient (6.6 vs 6.8), inpatient (0.40 vs 0.40), and other utilization metrics were similar between PA and HE groups. Costs were also similar for each group and each type of service, for example, outpatient: $2,070 versus $2,093 and inpatient: $4,704 versus $4,792. Regression results indicated no statistically significant differences between PA and HE groups. CONCLUSIONS: While the LIFE Study demonstrated that PA reduced mobility disability in older adults and was cost-effective, it did not appear to affect long-term health care utilization costs posttrial. These findings suggest that it remains challenging to affect long-term health care costs using PA interventions effects.

Updating the Cost Effectiveness of Oral Anticoagulants for Patients with Atrial Fibrillation Based on Varying Stroke and Bleed Risk Profiles.

BACKGROUND: Previous investigations into the cost effectiveness of direct oral anticoagulants only considered individual stroke risk but not bleed risk even though bleeding is an important and potentially fatal side effect for anticoagulated patients. OBJECTIVE: This study aimed to evaluate the cost effectiveness of dabigatran, rivaroxaban, apixaban, and edoxaban vs warfarin in patients with atrial fibrillation with varying stroke/bleed risk profiles over a lifetime horizon. METHODS: A Markov micro-simulation was adapted to examine the lifetime costs and quality-adjusted survival of five anticoagulants from a US private payer's perspective. The study hypothetical cohort consisted of 10,000 patients with atrial fibrillation with age, CHA2DS2-VASc, and HAS-BLED scores similar to a commercially insured patient with atrial fibrillation cohort. Model input parameters including the efficacy and safety of each strategy, utilities, and cost were estimated from public sources, published literature, and analysis conducted in the IBM MarketScan database. Lifetime cost, quality-adjusted life-years, and incremental cost-effectiveness ratios were assessed for each treatment strategy. Subgroup analyses stratified by age, stroke risk score alone, bleed risk score alone and both were performed. Uncertainty was assessed by a deterministic sensitivity analysis and a probabilistic sensitivity analysis. RESULTS: The base-case analysis suggested dabigatran was the optimal treatment with an incremental cost-effectiveness ratio of $35,055 per quality-adjusted life-year relative to warfarin. Subgroup analyses stratified by age, stroke risk score, and bleed risk score alone were largely consistent with the base-case analysis. Subgroup analyses stratified by both stroke and bleed risk score showed edoxaban was the preferred treatment in patients with a low stroke and a low or medium bleed risk, and patients with a high stroke and low bleed risk. Apixaban was the preferred treatment in patients with a medium stroke and high bleed risk. Results of the deterministic sensitivity analysis indicate the model results were most sensitive to the drug cost and hazard ratio for stroke and bleeding event. Results of the probability sensitivity analysis showed dabigatran is cost effective vs. other treatments in 32.8% and 42.4% of iterations at a willingness to pay of $50,000/quality-adjusted life-year and a willingness to pay of $100,000/quality-adjusted life year, respectively. CONCLUSIONS: From a US private payer's perspective, dabigatran appears cost effective compared with other anticoagulants. This study indicated risk stratification especially considering both stroke and bleed risk simultaneously is important not only in clinical practice but also in health technology assessment exercises among patients with atrial fibrillation.

A Call to Action to Track Generic Drug Quality Using Real-World Data and the FDA's Sentinel Initiative.

DISCLOSURES: The author reports funding from the U.S. Food and Drug Administration to study real-world data approaches to detect generic drug quality issues. There are no further conflicts or disclosures.

Application of a Graphical Depiction of Longitudinal Study Designs to Managed Care Pharmacy Research.

Managed care pharmacists apply real-world evidence (RWE) to support activities such as pipeline forecasting, clinical policy development, and contracting for pharmaceutical products. Managed care pharmacy researchers strive to produce studies that can be applied in practice. While asking the right research question is necessary, it is not sufficient. As with all studies, consumers of RWE look for internal and external validity, as well as sources of bias, to determine how the study findings can be applied in their work. To date, however, some of the safeguards that exist for clinical trials-such as public registration of study protocols-are lacking for RWE. Several leading professional organizations have initiatives dedicated to improving the credibility and reliability of such research. One component common to these initiatives is enhanced transparency and completeness of methodologic reporting. Graphical representations of study designs can improve the reporting and design of research conducted in health care databases, specifically by enhancing the transparency and clarity of often complex studies. As such, Schneeweiss et al. (2019) proposed a graphical framework for longitudinal study designs in health care databases. Herein, we apply this framework to 2 studies published in the Journal of Managed Care & Specialty Pharmacy that represent common research designs and report how application of the framework revealed deficiencies in reporting. We advocate for adoption of this framework in the effort to increase the usability of RWE studies using health care databases by managed care pharmacy. DISCLOSURES: No funding was provided for this work. Gatwood has received research funding from Merck & Co., AstraZeneca, and GlaxoSmithKline, unrelated to this work. Schneeweiss is a consultant to Aetion, of which he also owns equity. He is the principal investigator of investigator-initiated grants to the Brigham and Women's Hospital from Bayer, Genentech, Boehringer Ingelheim, and Vertex. Wang reports support from investigator-initiated grants from Novartis, Boehringer Ingelheim, and Johnson & Johnson to Brigham and Women's Hospital, unrelated to this work. Happe and Brown have nothing to disclose.

Healthcare Utilization and Physical Functioning in Older Adults in the United States.

OBJECTIVES: Decline in physical function is associated with older age. Healthcare utilization and expenditures related to physical functioning declines will likely increase as the proportion of the population of older adults rises. This study evaluated resource utilization associated with differences in physical functioning in a nationally representative sample of older adults. DESIGN: A retrospective panel study nationally representative for 26 809 552 older adults in the United States. SETTING: Medical Expenditure Panel Survey (MEPS) data from 2013 to 2014. PARTICIPANTS: Adults aged 70 years or older who completed both rounds of the Self-Administered Questionnaire in MEPS. MEASUREMENTS: Physical Component Score (PCS) from the Short-Form Health Survey as a measure of physical functioning was stratified into quartiles. Healthcare utilization (count of medical visits by setting) and total expenditures were assessed during and after the PCS measurements. Generalized linear mixed models, adjusted for demographic and clinical covariates, estimated the relationship between healthcare utilization and physical functioning. RESULTS: The lowest functional status (Q1) was associated with significantly increased healthcare utilization of emergency department, inpatient, home health, outpatient, and total medical visits compared with the three higher quartiles groups (P < .001, all). When compared with the lowest functioning group (Q1), the percentage savings for direct healthcare expenditures were 26.7% (95% confidence interval [CI] = 7.8-41.7) in Q2, 50.1% (95% CI = 35.6-61.4) in Q3, and 65.2% (95% CI = 54.7-73.2) in Q4. Similarly, there were 10.4% (95% CI = 9.2-11.7), 11.9% (95% CI = 10.5-13.6), and 14.0% (95% CI = 2.2%-15.9%) reductions in total medical visits, respectively. CONCLUSION: Lower physical functioning was associated with higher healthcare utilization and expenditures. These estimates are conservative because they do not capture long-term care utilization due to the nature of MEPS. These results can be used to benchmark other healthcare resource benefits of interventions to maintain or improve physical functioning in older adults in noninstitutionalized settings. J Am Geriatr Soc 68:266-271, 2020.

Higher insulin expenditures associated with utilization of free medication samples.

BACKGROUND: Insulin prescription prices have been a barometer of the complexities and concerns in the United States drug supply chain. The influence of free samples of medications have not been explored in this context. OBJECTIVE: To examine the trends in insulin prescription prices among sample users and non-users. METHODS: Medical Expenditure Panel Survey (MEPS) data from the years 2009-2015 were used. Insulin users were identified and grouped according to self-reported sample use and as new users based on year of treatment initiation variables. Prevalence of sample use was discerned using Cochran-Armitage Trend tests. Per prescription costs were summed as both the total costs and the patient out-of-pocket costs (OOP) and compared between users and non-users of samples. MEPS weights were used to create a nationally representative analytic sample. RESULTS: The weighted analytic sample included 5.3 million insulin users in 2009, which increased to 7.7 million insulin users in 2015. Among these, 5.6% reported sample use in 2009, which peaked in 2014 (8.1%), and was 6.2% in 2015 (p < 0.001). In 2015, the average OOP and overall costs were higher for sample users vs. non-users ($232 vs. $108, P < 0.001). This pattern was consistent each year. Per prescription costs per insulin prescription increased by 62% between 2009 and 2015 for sample users ($232 vs. $143, p < 0.001) and increased 35% for non-users ($108 vs. $80, p < 0.001). CONCLUSIONS: Sample use has increased among insulin users and is associated with higher per prescription costs. Patients and prescribers should consider the implications of sample use in the long-term.

Disparities in the Use of Cardiac Rehabilitation after a Myocardial Infarction in the United States.

The study's aim was to identify disparities in the use of cardiac rehabilitation (CR) services. Data were obtained from the 2013 Behavioral Risk Factor Surveillance System (BRFSS) conducted through landline and cellular phones by the Centers for Disease Control and Prevention. Demographic, behavioral, and clinical variables were defined to explore disparities between CR users and non-users. Bivariate chi-square analyses and weighted multivariable logistic regression were used to identify disparities. Analyses were conducted using SAS version 9.4. There were 8506 individuals who had a myocardial infarction (MI) that completed the survey, and 2891 of these individuals reported using CR. The mean weighted CR utilization rate was 31.9% and varied from 17.9% (Hawaii) to 58.9% (Minnesota). Females (adjusted odds ratio (aOR) = 0.73; 0.6-0.88), African Americans (aOR = 0.63; 0.46-0.87), and those in-between the ages of 18 and 49 years-old were less likely to use CR (aOR = 0.54; 0.34-0.86) compared to their counterparts. Individuals who were high school graduates (aOR = 1.57; 1.19-2.07), attended college (aOR = 1.34; 1.01-1.79), or graduated college (aOR = 1.91; 1.41-2.61) were more likely to use CR compared to their counterparts. Non-high school graduates, females, African Americans, and those aged between 18 to 49 should be targeted to increase CR participation.