Evidence map›Paper›PMID 32359935›Full record

ArticleOphthalmology2020

Ophthalmic Medication Expenditures and Out-of-Pocket Spending: An Analysis of United States Prescriptions from 2007 through 2016.

Evan M Chen, Ninani Kombo, Christopher C Teng, Prithvi Mruthyunjaya, Kristen Nwanyanwu, Ravi Parikh

Abstract readMulticenter Study
In one paragraph

Article in Ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. An Assessment of the Ocular Toxicity of Two Major Sources of Environmental Exposure.International journal of environmental research and public health · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
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

6 authors.

Evan M ChenDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Ninani KomboDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Christopher C TengDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Prithvi MruthyunjayaByers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, California.
Kristen NwanyanwuDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Ravi ParikhDepartment of Ophthalmology, NYU Langone Health, New York University School of Medicine, New York, New York; Manhattan Retina and Eye Consultants, New York, New York. Electronic address: Rap120@mail.harvard.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Undiagnosed Diabetic Retinopathy: Using Participatory Science to Design an Intervention for Patients at High-Risk for BlindnessK23EY030530 · NEI · YALE UNIVERSITY · PI NWANYANWU, KRISTEN · 2019 to 2023
$1.3M
NIA Short Term Research Training: Students in Health Professional SchoolsT35AG049685 · NIA · YALE UNIVERSITY · PI Sarwat I Chaudhry, Terri R. Fried · 2016 to 2026
$804k
NCATS NIH HHS UL1 TR001863NEI NIH HHS K23 EY030530NEI NIH HHS L30 EY029524NIA NIH HHS P30 AG021342NIA NIH HHS T35 AG049685
6 · The paper itself

Abstract

purposeTo estimate temporal trends in total and out-of-pocket (OOP) expenditures for ophthalmic prescription medications among adults in the United States.

designRetrospective, longitudinal cohort study.

participantsParticipants in the 2007 through 2016 Medical Expenditure Panel Survey (MEPS) 18 years of age or older. The MEPS is a nationally representative survey of the noninstitutionalized, civilian United States population.

methodsWe estimated trends in national and per capita annual ophthalmic prescription expenditures by pooling data into 2-year cycles and using weighted linear regressions. We also identified characteristics associated with greater total or OOP expenditures with multivariate weighted linear regression. Costs were adjusted to 2016 United States dollars using the gross domestic product price index.

main outcome measuresTrends in total and OOP annual expenditures for ophthalmic medications from 2007 through 2016 as well as factors associated with greater expenditures.

resultsFrom 2007 through 2016, 9989 MEPS participants (4.2%) reported ophthalmic medication prescription use. Annual ophthalmic medication use increased from 10.0 to 12.2 million individuals from 2007 and 2008 through 2015 and 2016. In this same period, national expenditures for ophthalmic medications increased from $3.39 billion to $6.08 billion and OOP expenditures decreased from $1.34 to $1.18 billion. Per capita expenditure increased from $338.72 to $499.42 (P < 0.001), and per capita OOP expenditure decreased from $133.48 to $96.67 (P < 0.001) from 2007 and 2008 through 2015 and 2016, respectively. From 2015 through 2016, dry eye (29.5%) and glaucoma (42.7%) medications accounted for 72.2% of all ophthalmic medication expenditures. Patients who were older than 65 years (P < 0.001), uninsured (P < 0.001), and visually impaired (P < 0.001) were significantly more likely to have greater OOP spending on ophthalmic medications.

conclusionsTotal ophthalmic medication expenditure in the United States increased significantly over the last decade, whereas OOP expenses decreased. Increases in coverage, copayment assistance, and use of expensive brand drugs may be contributing to these trends. Policy makers and physicians should be aware that rising overall drug expenditures ultimately may increase indirect costs to the patient and offset a decline in OOP prescription drug spending.

Indexed as

AdolescentAdultCross-Sectional StudiesDrug PrescriptionsEye DiseasesFemaleFollow-Up StudiesHealth ExpendituresHumansMaleMiddle AgedPrescription DrugsRetrospective StudiesTime FactorsUnited StatesYoung AdultPrescription Drugs

Identifiers

PMID32359935
PMCPMC7508869

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.