Evidence map›Paper›PMID 35671056›Full record

ArticleJAMA network open2022

Association of High-Deductible Health Plan Enrollment With Spending on and Use of Lenalidomide Therapy Among Commercially Insured Patients With Multiple Myeloma.

Shelley A Jazowski, Lauren Wilson, Stacie B Dusetzina, S Yousuf Zafar, Leah L Zullig

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shelley A JazowskiDepartment of Health Policy and Management, UNC (University of North Carolina at Chapel Hill) Gillings School of Global Public Health.
Lauren WilsonDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Stacie B DusetzinaDepartment of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee.
S Yousuf ZafarDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Leah L ZulligDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.

Funding

Learning Health System training program: PROgRESS--Patient/ pRactice Outcomes and Research in Effectiveness and Systems ScienceT32HS026122 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRIJALVA, CARLOS G, ROUMIE, CHRISTIANNE L. · 2018 to 2024
$3.5M
AHRQ HHS T32 HS026122
6 · The paper itself

Abstract

Importance: High-deductible health plans (HDHPs) require high upfront cost-sharing, which has been associated with suboptimal anticancer medication uptake and adherence. Whether HDHP enrollment has limited the affordability and use of lenalidomide therapy among commercially insured patients with multiple myeloma is unknown. Objective: To assess the association of HDHP enrollment with out-of-pocket spending on and adherence to lenalidomide therapy. Design, Setting, and Participants: In this cohort study, data were obtained from the IBM MarketScan Commercial Claims and Encounters Database for adults aged 18 to 64 years with multiple myeloma who newly initiated lenalidomide therapy between April 1, 2013, and June 30, 2017. Quantile regression and modified Poisson regression evaluated out-of-pocket spending, and group-based trajectory models and multinomial logistic regression examined patterns of and factors associated with adherence. Analyses were conducted from April to August 2020. Exposures: High-deductible health plan enrollment in the 3 months before and 6 months after initiation of lenalidomide therapy. Main Outcomes and Measures: Distribution of out-of-pocket spending, the probability of paying more than $100 for the first and any lenalidomide prescription fill, and monthly lenalidomide therapy adherence using the proportion of days covered (≥80%). Results: Of the 3163 commercially insured patients who initiated lenalidomide therapy (median age, 57 years [IQR, 53-60 years for HDHP enrollees and 52-61 years for non-HDHP enrollees]), 328 (10.4%) were enrolled in HDHPs and 1769 (55.9%) were women. Among the highest spenders (95th percentile), HDHP enrollees paid $376 (95% CI, -$28 to $780) and $217 (95% CI, $106-$323) more for their first and any lenalidomide prescription fill, respectively, compared with non-HDHP enrollees in the 6 months after initiation. High-deductible health plan enrollment was also associated with an increased risk of paying more than $100 for the initial (adjusted risk ratio [aRR], 1.30 [95% CI, 1.13-1.50]) and any (aRR, 1.26 [95% CI, 1.12-1.42]) lenalidomide prescription fill. Three adherence trajectory groups were identified: those with high adherence (n = 1273), late nonadherence (n = 1084), and early nonadherence (n = 805). High-deductible health plan enrollment was not associated with adherence group assignment. Conclusions and Relevance: In this cohort study, HDHP enrollment was associated with higher out-of-pocket spending per lenalidomide prescription fill; however, no statistically significant differences in adherence patterns between HDHP and non-HDHP enrollees were observed. Patient (eg, perceptions of treatment benefits), payer (eg, out-of-pocket maximums), and clinician (eg, counseling patients on disease severity) factors may have limited the potential for nonadherence among commercially insured patients who initiated lenalidomide therapy.

Indexed as

Deductibles and CoinsuranceMultiple MyelomaAdultCohort StudiesFemaleHealth ExpendituresHumansLenalidomideMaleMiddle AgedLenalidomide

Identifiers

PMID35671056
PMCPMC9175078

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.