Evidence map›Paper›PMID 29355925›Full record

ArticleHealth services research2018

Impact of the 340B Drug Pricing Program on Cancer Care Site and Spending in Medicare.

Jeah Jung, Wendy Y Xu, Yamini Kalidindi

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Consequences of the 340B Drug Pricing Program.The New England journal of medicine · 2018
    Article
  16. Article
  17. Mapping 340B Funds Flow Through Contract Pharmacies.Inquiry : a journal of medical care organization, provision and financing
    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

3 authors.

Jeah JungDepartment of Health Policy and Administration, College of Health and Human Development, The Pennsylvania State University, University Park, PA.ORCID 0000-0001-7574-0677
Wendy Y XuDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH.ORCID 0000-0002-7142-6784
Yamini KalidindiDepartment of Health Policy and Administration, College of Health and Human Development, The Pennsylvania State University, University Park, PA.

Funding

Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI JOHNSON, DAVID R · 2001 to 2016
$9.7M
The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
Benefit Generosity, Specialty Drug Use, and Other Health Service Use in MedicareR01AG047934 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI JUNG, JEAH · 2014 to 2016
$783k
NIA NIH HHS R01 AG047934NICHD NIH HHS P2C HD041025NICHD NIH HHS R24 HD041025NIH HHS R24 HD041025
6 · The paper itself

Abstract

objectiveTo examine the impact of the 340B drug discount program on the site of cancer drug administration and cancer care spending in Medicare. DATA SOURCES/STUDY

setting2010-2013 Medicare claims data for a random sample of Medicare Fee-for-Service beneficiaries with cancer. STUDY

designWe identified the 340B effect using variation in the availability of 340B hospitals across markets. We considered beneficiaries from markets that newly gained a 340B hospital during the study period (new 340B markets) as the treatment group. Beneficiaries in markets with no 340B hospital were the control group. We used a difference-in-differences approach with market fixed effects. DATA COLLECTION: Secondary data analysis. PRINCIPAL

findingsThe probability of a patient receiving cancer drug administration in hospital outpatient departments (HOPDs) versus physician offices increased 7.8 percentage points more in new 340B markets than in markets with no 340B hospital. Per-patient spending on other cancer care increased $1,162 more in new 340B markets than in markets with no 340B hospital.

conclusionsThe 340B program shifted the site of cancer drug administration to HOPDs and increased spending on other cancer care. As the program expands, continuing assessment of its impact on service utilization and spending would be needed.

Indexed as

Cost SavingsEconomics, HospitalAmbulatory CareAntineoplastic AgentsCosts and Cost AnalysisFee-for-Service PlansHumansMedicare Part BUnited StatesAntineoplastic Agents340B programcancer care spendingMedicare Part B drugssite of cancer drug administration

Identifiers

PMID29355925
PMCPMC6153182

What OpenQuestion holds

Textmetadata
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.