Karaca‐Mandic, Pinar

Abstract Context Osteoanabolic therapy for osteoporosis should be followed by antiresorptive treatment (“consolidation”) to preserve bone mass. Although osteoanabolic therapy is increasingly endorsed for primary fracture prevention, real-world implementation of consolidation remains unknown. Objective To assess patterns and predictors of timely consolidation after osteoanabolic therapy for primary fracture prevention. Methods We conducted a retrospective cohort study using US commercial, Medicare Advantage, and traditional Medicare claims data. Adults aged ≥50 years who initiated romosozumab, teriparatide, or abaloparatide between 2011 and 2022 were included. The primary outcome was timely consolidation, defined as initiation of an antiresorptive medication within 3 months after osteoanabolic therapy. Secondary outcomes included delayed consolidation (initiation >3 months after completion), osteoanabolic restart following a treatment gap, and no consolidation therapy. We further distinguished participants who completed the full osteoanabolic course, defined as ≥12 months for romosozumab and ≥18 months for teriparatide or abaloparatide. Multivariable logistic regression models were used to identify predictors of consolidation patterns. Results Among 15 389 patients (mean age 70.6 years; 89% women; 85% White), 30% completed osteoanabolic therapy (median, 12.9 months for romosozumab; 23.4 months for teriparatide/abaloparatide). Overall, 25% had timely consolidation, 24% delayed consolidation, 12% restarted osteoanabolics, and 40% had no consolidation; only 12% completed therapy with timely consolidation. Timely consolidation was more likely with endocrinology (OR 1.31; 95% CI, 1.17-1.48) or rheumatology (OR 1.45; 1.30-1.62) vs primary care, and less likely among patients aged 50-64 years (OR 0.67; 0.58-0.77) vs 65-74, those enrolled in Medicare Advantage (OR 0.85; 0.74-0.98) vs traditional Medicare, or those recently hospitalized (OR 0.88; 0.80-0.97). Odds increased over time (OR 4.27; 3.63-5.05 for 2021 vs 2011 starts). Conclusion Only 1 in 4 patients received timely consolidation therapy after osteoanabolic treatment, and 1 in 8 completed the full sequence. Strategies to improve consolidation in primary fracture prevention are needed.

This cohort study examines the clinical implementation of timely consolidation with antiresorptive therapy to preserve bone mineral density gains and reduce fracture risk.

Abstract Context A national assessment of osteoporosis drug therapy (ODT) use can inform the extent of underdiagnosis and undertreatment of osteoporosis. Objective The aim was to describe trends in ODT use by age, sex, fragility fracture, and documented osteoporosis. Methods This was a retrospective analysis of patient-quarter observations for adults aged ≥50 years with commercial or Medicare Advantage health insurance in the OptumLabs Data Warehouse between 2011 and 2022. The primary outcome was the proportion of patient-quarter observations with ODT use stratified by age, sex, fragility fracture, and documented osteoporosis. Cuzick tests were performed to assess trends ODT use. Results Analysis of 166 673 420 patient-quarter observations revealed that over 70% of patients with fragility fractures did not have documented osteoporosis. Among women aged ≥65 years with documented osteoporosis, ODT fill rates increased between 2011 and 2022 from 36.3% to 50.1% for women without fragility fractures (P < .001) and from 30.8% to 43.7% for women with fragility fractures (P < .001). However, ODT fill rates declined (9.2% to 7.4% between 2011 and 2022) for women with fragility fractures and no documented osteoporosis (P = .015). Similar trends were observed among women aged 50-64 years and men. Conclusion ODT use for patients with documented osteoporosis has increased but remains low. Low rates of ODT use for patients with fragility fractures in the absence of documented osteoporosis suggests that underdiagnosis of osteoporosis contributes to underuse of ODTs.

Background: Recent literature has found rapid uptake of short-acting filgrastim biosimilars but slower uptake of other biosimilars, such as infliximab, in both Medicare and privately insured enrollees. Objectives: To describe patient, provider, and health plan characteristics associated with a switch to biosimilar among existing infliximab patients. Research Design: We constructed a retrospective panel dataset of patients undergoing active infliximab treatments and the choice of infliximab drug for each infusion. We used mixed logit regression controlling for patient, provider, and health plan characteristics as well as time-fixed effects. Subjects: Medicare Advantage and privately insured enrollees with evidence of active infliximab treatments between 2016 and 2020 (n=357,430). Measures: Our primary outcome of interest was to switch from infliximab originator to one of the infliximab biosimilars. Exposure variables of interest variables such as out-of-pocket, site of care, and in-network deductible. Results: Our study found nominally low switching among existing infliximab originator users (3.4%). We found that patients who previously received 1 infliximab originator infusion were 63.7% more likely to switch to biosimilar compared with patients who previously received administration of 20 infliximab originators. We found that biosimilar’s placement as health’s plan preferred drug was attributed to higher likelihood of biosimilar use (odds ratio: 1.666; P -value=0.001). We did not observe any statistically significant effect among out-of-pocket amount or deductible with respect to switch to infliximab biosimilar. Conclusions: To encourage uptake and switch to biosimilar, policymakers should consider targeted policies that include leveraging health plan tools such as placement of biosimilar as preferred drug and aim to educate patients on the clinical equivalence between infliximab biosimilar and originator.

ImportancePrevious studies have found that hospitals participating in the 340B Drug Pricing Program have higher Medicare Part B spending and expansion into affluent neighborhoods. Less is known about the association of 340B participation with spending by commercial insurance, where reimbursements are higher than Medicare.ObjectiveTo use the Affordable Care Act expansion of eligibility for the 340B Drug Pricing Program to study the association between participation and spending on outpatient-administered oncological drugs for commercially insured patients.Design, Setting, and ParticipantsThis cohort study included a balanced panel hospital cohort containing new and never 340B program participants between 2007 and 2019; more recent data were not included to avoid the effect of disruptions in care due to the COVID-19 pandemic. Descriptive analyses documented spending trends for patients receiving common outpatient-administered biologics used in cancer treatments (bevacizumab, filgrastim, pegfilgrastim, rituximab, and trastuzumab) at 340B (treated) and non-340B (control) hospitals. A difference-in-differences model assessed changes in episode drug spending. Analyses were conducted between December 2021 and June 2022.ExposureNew 340B program participation between 2010 and 2016.Main Outcome and MeasuresTotal drug episode spending, with control variables including total billed units, drug, calendar-year fixed effects, and hospital fixed effects.ResultsOf 95 127 included episodes (56 917 [59.8%] episodes in female patients) across 478 hospitals, patients seen in 340B and non-340B hospitals were similar in sex and drug used, and 340B hospital patients were older than non-340B patients (median [IQR] age for all patients, 61 [51-71] years). New 340B participating hospitals were more likely to be small (<50 beds) and more likely to be in rural settings. In the difference-in-differences analysis, total episode drug spending increased by $4074.69 (95% CI, $1592.84-$6556.70; P = .001) in the year following start of 340B program participation relative to nonparticipants. Heterogeneous group time effects were seen, with earlier participants less likely to have increased episode spending.Conclusions and RelevanceIn this cohort study, new 340B participation was associated with statistically significant higher oncological drug episode spending compared with nonparticipants after changes in 340B inclusion rules in 2010. These findings raise questions about unintended consequences of the 340B program on drug spending from the commercially insured population.

Background: Physicians’ professional networks are an important source of new medical information and have been shown to influence the adoption of new treatments, but it is unknown how physician networks impact the de-adoption of harmful practices. Methods: We analyzed changes in physicians’ use of dronedarone after the PALLAS trial (Palbociclib Collaborative Adjuvant Study; November 2011) showed that dronedarone increased the risk of death from cardiovascular events among patients with permanent atrial fibrillation. Deidentified administrative claims from the OptumLabs Data Warehouse were combined with physicians’ demographic information from the Doximity database and publicly available data on physicians’ patient-sharing relationships compiled by the Centers for Medicare and Medicaid Services. We used a linear probability model with an interrupted linear time trend specification to model the impact of the PALLAS trial on physicians’ dronedarone usage between 2009 and 2014. Results: Before the PALLAS trial, the use of dronedarone was increasing by 0.22 percentage points per quarter (95% CI, 0.19–0.25) in our Medicare Advantage sample (N=343 429 patient-quarter observations) and 0.63 percentage points per quarter (95% CI, 0.52–0.75) in our commercially insured sample (N=44 402 patient-quarter observations). After the PALLAS trial and subsequent United States Food and Drug Administration black box warning, physicians in the Medicare Advantage sample with an above-median number of network connections to other physicians decreased their quarterly usage of dronedarone by 0.12 percentage points more per quarter (95% CI, −0.20 to −0.04; P =0.031) than physicians with equal to or below the median number of network connections. Similar patterns existed in the commercially insured sample ( P =0.0318). Conclusions: After controlling for a wide range of patient, physician, and geographic characteristics, physicians with a greater number of network connections were faster de-adopters of dronedarone for patients with permanent atrial fibrillation after the PALLAS trial and subsequent United States Food and Drug Administration black box warning detailed the harmfulness of dronedarone for these patients. Policies for improving physicians’ responsiveness to new medical information should consider utilizing the influence of these important professional network relationships.

OBJECTIVE To examine whether glucagon-like peptide 1 receptor agonists (GLP-1RA) and sodium–glucose cotransporter 2 inhibitors (SGLT2i) are preferentially initiated among patients with cardiovascular disease, heart failure (HF), or nephropathy, where these drug classes have established benefit, compared with dipeptidyl peptidase 4 inhibitors (DPP-4i), for which corresponding benefits have not been demonstrated. RESEARCH DESIGN AND METHODS We retrospectively analyzed claims of adults with type 2 diabetes included in OptumLabs Data Warehouse, a deidentified database of commercially insured and Medicare Advantage beneficiaries, who first started GLP-1RA, SGLT2i, or DPP-4i therapy between 2016 and 2019. Using multinomial logistic regression, we examined the relative risk ratios (RRR) of starting GLP-1RA and SGLT2i compared with DPP-4i for those with a history of myocardial infarction (MI), cerebrovascular disease, HF, and nephropathy after adjusting for demographic and other clinical factors. RESULTS We identified 75,395 patients who started GLP-1RA, 58,234 who started SGLT2i, and 91,884 who started DPP-4i. Patients with prior MI, cerebrovascular disease, or nephropathy were less likely to start GLP-1RA rather than DPP-4i compared with patients without these conditions (RRR 0.83 [95% CI 0.78–0.88] for MI, RRR 0.77 [0.74–0.81] for cerebrovascular disease, and RRR 0.87 [0.84–0.91] for nephropathy). Patients with HF or nephropathy were less likely to start SGLT2i (RRR 0.83 [0.80–0.87] for HF and RRR 0.57 [0.55–0.60] for nephropathy). Both medication classes were less likely to be started by non-White and older patients. CONCLUSIONS Patients with cardiovascular disease, HF, and nephropathy, for whom evidence suggests a greater likelihood of benefiting from GLP-1RA and/or SGLT2i therapy, were less likely to start these drugs. Addressing this treatment/benefit paradox, which was most pronounced in non-White and older patients, may help reduce the morbidity associated with these conditions.