Evidence map›Paper›PMID 25793271›Full record

ArticleMedical care2015

Assessing Medicare Part D claim completeness using medication self-reports: the role of veteran status and Generic Drug Discount Programs.

Lei Zhou, Sally C Stearns, Emily M Thudium, Khalid A Alburikan, Jo E Rodgers

Abstract read
In one paragraph

Article in Medical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Lei Zhou*Lineberger Comprehensive Cancer Center †Gillings School of Global Public Health ‡UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Sally C Stearns
Emily M Thudium
Khalid A Alburikan
Jo E Rodgers

Funding

NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CPHS HHS HHSN268201100005CPHS HHS HHSN268201100006CPHS HHS HHSN268201100007CPHS HHS HHSN268201100008CPHS HHS HHSN268201100009CPHS HHS HHSN268201100010CPHS HHS HHSN268201100011CPHS HHS HHSN268201100012C
6 · The paper itself

Abstract

objectiveMedicare Part D claims are commonly used for research, but missing claims could compromise their validity. This study assessed 2 possible causes of missing claims: veteran status and Generic Drug Discount Programs (GDDP). MATERIALS AND

methodsWe merged medication self-reports from telephone interviews in the Atherosclerosis Risk in Communities (ARIC) Study with Part D claims for 6 medications (3 were commonly in GDDP in 2009). Merged records (4468) were available for 2905 ARIC participants enrolled in Part D. Multinomial logit regression provided estimates of the association of concordance (self-report and Part D, self-report only, or Part D only) with veteran and GDDP status, controlling for participant sociodemographics.

resultsSample participants were 74±5 years of age, 68% white and 63% female; 19% were male veterans. Compared with females, male veterans were 11% [95% confidence interval (CI), 7%-16%] less likely to have matched medications in self-report and Part D and 11% (95% CI, 7%-16%) more likely to have self-report only. Records for GDDP versus non-GDDP medications were 4% (95% CI, 1%-7%) more likely to be in self-report and Part D and 3% (95% CI, 1%-5%) less likely to be in Part D only, with no difference in self-report only.

conclusionsPart D claims were more likely to be missing for veterans, but claims for medications commonly available through GDDP were more likely to match with self-reports. Although researchers should be aware of the possibility of missing claims, GDDP status was associated with a higher rather than lower likelihood of claims being complete in 2009.

Indexed as

Self ReportVeteransAgedAge FactorsData CollectionDrugs, GenericDrug UtilizationFemaleHumansInsurance Claim ReviewMaleMedicare Part DRacial GroupsSex FactorsUnited StatesDrugs, Generic

Identifiers

PMID25793271
PMCPMC4646610

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.