Evidence map›Paper›PMID 34739059›Full record

ArticleJAMA network open2021

Accuracy of Physician Estimates of Out-of-Pocket Costs for Medication Filling.

Caroline E Sloan, Lorena Millo, Sophia Gutterman, Peter A Ubel

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
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  7. Article
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  11. Article
  12. Article
  13. Medication affordability discussions with older adults in primary care.Exploratory research in clinical and social pharmacy · 2023
    Article
  14. Review
  15. Informed Decision Making for Anticoagulation Therapy for Atrial Fibrillation.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  16. Deprescribing medications: Do out-of-pocket costs have a role?Journal of the American Geriatrics Society · 2022
    Article
  17. Article
  18. Review
  19. Environmental Impact and Provider Satisfaction Associated with ePrescriptions in Otolaryngology: A Quality Improvement Study.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    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

4 authors.

Caroline E SloanDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina.
Lorena MilloSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill.
Sophia GuttermanSchool of Medicine, University of Michigan, Ann Arbor.
Peter A UbelDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: One-third of US residents have trouble paying their medical bills. They often turn to their physicians for help navigating health costs and insurance coverage. Objective: To determine whether physicians can accurately estimate out-of-pocket expenses when they are given all of the necessary information about a drug's price and a patient's insurance plan. Design, Setting, and Participants: This national mail-in survey used a random sample of US physicians. The survey was sent to 900 outpatient physicians (300 each of primary care, gastroenterology, and rheumatology). Physicians were excluded if they were in training, worked primarily for the Veterans Administration or Indian Health Service, were retired, or reported 0% outpatient clinical effort. Analyses were performed from July to December 2020. Main Outcomes and Measures: In a hypothetical vignette, a patient was prescribed a new drug costing $1000/month without insurance. A summary of her private insurance information was provided, including the plan's deductible, coinsurance rates, copays, and out-of-pocket maximum. Physicians were asked to estimate the drug's out-of-pocket cost at 4 time points between January and December, using the plan's 4 types of cost-sharing: (1) deductibles, (2) coinsurance, (3) copays, and (4) out-of-pocket maximums. Multivariate linear regression was used to assess differences in performance by specialty, adjusting for attitudes toward cost conversations, demographics, and clinical characteristics. Results: The response rate was 45% (405 of 900) and 371 respondents met inclusion criteria. Among the respondents included in this study, 59% (n = 220) identified as male, 23% (n = 84) as Asian, 3% (n = 12) as Black, 6% (n = 24) as Hispanic, and 58% (n = 216) as White; 30% (n = 112) were primary care physicians, 35% (n = 128) were gastroenterologists, and 35% (n = 131) were rheumatologists; and the mean (SD) age was 49 (10) years. Overall, 52% of physicians (n = 192) accurately estimated costs before the deductible was met, 62% (n = 228) accurately used coinsurance information, 61% (n = 224) accurately used copay information, and 57% (n = 210) accurately estimated costs once the out-of-pocket maximum was met. Only 21% (n = 78) of physicians answered all 4 questions correctly. Ability to estimate out-of-pocket costs was not associated with specialty, attitudes toward cost conversations, or clinic characteristics. Conclusions and Relevance: This survey study found that many US physicians have difficulty estimating out-of-pocket costs, even when they have access to their patients' insurance plans. The mechanics involved in calculating real-time out-of-pocket costs are complex. These findings suggest that increased price transparency and simpler insurance cost-sharing mechanisms are needed to enable informed cost conversations at the point of prescribing.

Indexed as

Attitude of Health PersonnelCost SharingDeductibles and CoinsuranceFees and ChargesFemaleHealth ExpendituresHumansInsurance CoverageMalePatient Care Team

Identifiers

PMID34739059
PMCPMC8571653

What OpenQuestion holds

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Registered trials

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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.