Evidence map›Paper›PMID 24508767›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults.

John Heintzman, Steffani R Bailey, Megan J Hoopes, Thuy Le, Rachel Gold, Jean P O'Malley, Stuart Cowburn, Miguel Marino, Alex Krist, Jennifer E DeVoe

Abstract readComparative Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. The validity of hospital diagnostic and procedure codes reflecting morbidity in preterm neonates born <32 weeks gestation.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The bird's-eye view: A data-driven approach to understanding patient journeys from claims data.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Biases introduced by filtering electronic health records for patients with "complete data".Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  20. 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

10 authors.

John HeintzmanDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Steffani R BaileyDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Megan J HoopesOCHIN, Inc, Portland, Oregon, USA.
Thuy LeOCHIN, Inc, Portland, Oregon, USA.
Rachel GoldOCHIN, Inc, Portland, Oregon, USA Kaiser Permanente Northwest Center for Health Research, Portland, Oregon, USA.
Jean P O'MalleyDepartment of Public Health and Preventive Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Stuart CowburnOCHIN, Inc, Portland, Oregon, USA.
Miguel MarinoDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA Department of Public Health and Preventive Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Alex KristDepartment of Family Medicine and Community Health, Virginia Commonwealth University, Richmond, Virginia, USA.
Jennifer E DeVoeDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA OCHIN, Inc, Portland, Oregon, USA.

Funding

Assessing a Medicaid Randomized Insurance Experiment within Community ClinicsR01HL107647 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2011 to 2014
$2.8M
The Primary Care Medical Home and Preventive Service Use in Latino ImmigrantsK08HS021522 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI HEINTZMAN, JOHN · 2013 to 2016
$590k
AHRQ HHS 1K08HS021522AHRQ HHS K08 HS021522NHLBI NIH HHS R01 HL107647NHLBI NIH HHS R01HL107647
6 · The paper itself

Abstract

To compare the agreement of electronic health record (EHR) data versus Medicaid claims data in documenting adult preventive care. Insurance claims are commonly used to measure care quality. EHR data could serve this purpose, but little information exists about how this source compares in service documentation. For 13 101 Medicaid-insured adult patients attending 43 Oregon community health centers, we compared documentation of 11 preventive services, based on EHR versus Medicaid claims data. Documentation was comparable for most services. Agreement was highest for influenza vaccination (κ =  0.77; 95% CI 0.75 to 0.79), cholesterol screening (κ = 0.80; 95% CI 0.79 to 0.81), and cervical cancer screening (κ = 0.71; 95% CI 0.70 to 0.73), and lowest on services commonly referred out of primary care clinics and those that usually do not generate claims. EHRs show promise for use in quality reporting. Strategies to maximize data capture in EHRs are needed to optimize the use of EHR data for service documentation.

Indexed as

Electronic Health RecordsInsurance Claim ReviewMedicaidAdultHumansUnited StatesClaims DataElectronic Health RecordsMedical Care DeliveryPreventive ServicesQuality of Care

Identifiers

PMID24508767
PMCPMC4078280

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.