Evidence map›Paper›PMID 28446159›Full record

ArticleBMC health services research2017

The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology.

Charles E Leonard, Colleen M Brensinger, Young Hee Nam, Warren B Bilker, Geralyn M Barosso, Margaret J Mangaali, Sean Hennessy

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
19.8field-weighted citation impact, top 1% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  12. Medical Complexity Mediates Healthcare Resource Use in the Socially Vulnerable.Journal of healthcare management / American College of Healthcare Executives · 2022
    Observational
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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

7 authors at 2 institutions in 1 country.

Charles E LeonardCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA. celeonar@mail.med.upenn.edu.
Colleen M BrensingerCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA.
Young Hee NamCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA.
Warren B BilkerCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA.
Geralyn M BarossoDivision of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware Street SE, Mayo D355, Minneapolis, MN, 55455-0381, USA.
Margaret J MangaaliCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA.
Sean HennessyCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA.
University of Pennsylvania · USUniversity of Minnesota · US

Funding

Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
Drug-Drug Interactions Involving Antidiabetic AgentsR01DK102694 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2014 to 2017
$2.4M
NIA NIH HHS R01 AG025152NIDDK NIH HHS R01 DK102694
6 · The paper itself

Abstract

backgroundAdministrative claims of United States Centers for Medicare and Medicaid Services (CMS) beneficiaries have long been used in non-experimental research. While CMS performs in-house checks of these claims, little is known of their quality for conducting pharmacoepidemiologic research. We performed exploratory analyses of the quality of Medicaid and Medicare data obtained from CMS and its contractors.

methodsOur study population consisted of Medicaid beneficiaries (with and without dual coverage by Medicare) from California, Florida, New York, Ohio, and Pennsylvania. We obtained and compiled 1999-2011 data from these state Medicaid programs (constituting about 38% of nationwide Medicaid enrollment), together with corresponding national Medicare data for dually-enrolled beneficiaries. This descriptive study examined longitudinal patterns in: dispensed prescriptions by state, by quarter; and inpatient hospitalizations by federal benefit, state, and age group. We further examined discrepancies between demographic characteristics and disease states, in particular frequencies of pregnancy complications among men and women beyond childbearing age, and prostate cancers among women.

resultsDispensed prescriptions generally increased steadily and consistently over time, suggesting that these claims may be complete. A commercially-available National Drug Code lookup database was able to identify the dispensed drug for 95.2-99.4% of these claims. Because of co-coverage by Medicare, Medicaid data appeared to miss a substantial number of hospitalizations among beneficiaries ≥ 45 years of age. Pregnancy complication diagnoses were rare in males and in females ≥ 60 years of age, and prostate cancer diagnoses were rare in females.

conclusionsCMS claims from five large states obtained directly from CMS and its contractors appeared to be of high quality. Researchers using Medicaid data to study hospital outcomes should obtain supplemental Medicare data on dual enrollees, even for non-elders.

trial registrationNot applicable.

Indexed as

PharmacoepidemiologyAgedCenters for Medicare and Medicaid Services, U.S.FemaleHospitalizationHumansInsurance Claim ReportingMaleMedicaidMedicareMiddle AgedUnited StatesCenters for Medicare and Medicaid Services (U.S.)Data accuracyDatabases as a topicInternational Classification of DiseasesMedicaidMedicarePharmacoepidemiology

Identifiers

PMID28446159
PMCPMC5406992
OpenAlexW2608903005

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.