Evidence map›Paper›PMID 33377908›Full record

ArticleJournal of the National Cancer Institute2021

Assessing Cancer History Accuracy in Primary Care Electronic Health Records Through Cancer Registry Linkage.

Megan Hoopes, Robert Voss, Heather Angier, Miguel Marino, Teresa Schmidt, Jennifer E DeVoe, Jeffrey Soule, Nathalie Huguet

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02936609 (Assessing Community Cancer Care After Insurance ExpanSionS), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 25% 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.

NCT02936609 completednot on this map

Assessing Community Cancer Care After Insurance ExpanSionS

Typeobservational_patient_registrySponsorOHSU Knight Cancer InstituteRan2016 to 2021Enrolled1,939,783ConditionsCancerArmsMedicaid Expansion
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Identifying Patients with Breast Cancer History Using Epic Electronic Health Record.Journal of the American Board of Family Medicine : JABFM · 2026
    Article
  4. Article
  5. Article
  6. Impacts of pragmatic implementation science in a primary care laboratory.Journal of clinical and translational science · 2025
    Article
  7. Applying Machine Learning Techniques to Implementation Science.Online journal of public health informatics · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. 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

8 authors at 3 institutions in 1 country.

Megan HoopesOCHIN, Inc, Portland, OR, USA.ORCID 0000-0001-7941-254X
Robert VossOCHIN, Inc, Portland, OR, USA.ORCID 0000-0003-3575-5529
Heather AngierDepartment of Family Medicine, Oregon Health and Science University, Portland, OR, USA.
Miguel MarinoDepartment of Family Medicine, Oregon Health and Science University, Portland, OR, USA.ORCID 0000-0002-0066-4478
Teresa SchmidtOCHIN, Inc, Portland, OR, USA.ORCID 0000-0003-2434-8223
Jennifer E DeVoeDepartment of Family Medicine, Oregon Health and Science University, Portland, OR, USA.
Jeffrey SouleOregon State Cancer Registry, Oregon Health Authority, Portland, OR, USA.
Nathalie HuguetDepartment of Family Medicine, Oregon Health and Science University, Portland, OR, USA.
Oregon Health & Science University · USOchin · USOregon Health Authority · US

Funding

Research ProgramP50CA244289 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2019 to 2023
$7.6M
ACCESS: Assessing Community Cancer care after insurance ExpanSionSR01CA204267 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2016 to 2020
$2.0M
National Cancer Institute (NCI) of the National Institutes of Health R01CA204267NCI NIH HHS P50 CA244289NCI NIH HHS R01 CA204267
6 · The paper itself

Abstract

backgroundMany cancer survivors receive primary care in community health centers (CHCs). Cancer history is an important factor to consider in the provision of primary care, yet little is known about the completeness or accuracy of cancer history data contained in CHC electronic health records (EHRs).

methodsWe probabilistically linked EHR data from more than1.5 million adult CHC patients to state cancer registries in California, Oregon, and Washington and estimated measures of agreement (eg, kappa, sensitivity, specificity). We compared demographic and clinical characteristics of cancer patients as estimated by each data source, evaluating distributional differences with absolute standardized mean differences.

resultsA total 74 707 cancer patients were identified between the 2 sources (EHR only, n = 22 730; registry only, n = 23 616; both, n = 28 361). Nearly one-half of cancer patients identified in registries were missing cancer documentation in the EHR. Overall agreement of cancer ascertainment in the EHR vs cancer registries (gold standard) was moderate (kappa = 0.535). Cancer site-specific agreement ranged from substantial (eg, prostate and female breast; kappa > 0.60) to fair (melanoma and cervix; kappa < 0.40). Comparing population characteristics of cancer patients as ascertained from each data source, groups were similar for sex, age, and federal poverty level, but EHR-recorded cases showed greater medical complexity than those ascertained from cancer registries.

conclusionsAgreement between EHR and cancer registry data was moderate and varied by cancer site. These findings suggest the need for strategies to improve capture of cancer history information in CHC EHRs to ensure adequate delivery of care and optimal health outcomes for cancer survivors.

Indexed as

Electronic Health RecordsMelanomaAdultData CollectionFemaleHumansMalePrimary Health CareRegistries

Identifiers

PMID33377908
PMCPMC8246795
OpenAlexW3114684599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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.