Evidence map›Paper›PMID 21497515›Full record

ArticleAnnals of epidemiology2011

Who doesn't authorize the linking of survey and administrative health data? A general population-based investigation.

Timothy J Beebe, Jeanette Y Ziegenfuss, Sarah M Jenkins, Lindsey R Haas, Michael E Davern

Abstract read
In one paragraph

Article in Annals of epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Embedding research study recruitment within the patient portal preCheck-in.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  3. Article
  4. Ethical and practical challenges to studying patients who opt out of large-scale biorepository research.Journal of the American Medical Informatics Association : JAMIA · 2013
    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.

Timothy J BeebeDivision of Health Care Policy and Research, Mayo Clinic, Rochester, MN 55905, USA. beebe.timothy@mayo.edu
Jeanette Y Ziegenfuss
Sarah M Jenkins
Lindsey R Haas
Michael E Davern

Funding

Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Survey Nonresponse Bias, HIPAA, and Mixed Data Collection ModesR03CA132974 · NCI · MAYO CLINIC ROCHESTER · PI BEEBE, TIMOTHY · 2008 to 2009
$161k
AHRQ HHS K12 HS026379NCI NIH HHS R03 CA132974NIA NIH HHS R01 AG034676
6 · The paper itself

Abstract

purposeTo determine the extent of authorization bias in a study linking survey and medical record data in a general population-based investigation.

methodsAuthorization status (authorized data linkage vs. not) was ascertained through a sequential mixed mode mail and telephone survey conducted in Olmsted County, MN. Respondents (regardless of authorization status) were linked to the Rochester Epidemiology Project (REP), the medical record system for health care providers in Olmsted County. The REP provided data on gender, age, race, health status (co-morbid conditions), and health care utilization (ER admission, hospital admission, clinical office visits and procedures). Authorizers (n=1357) are compared to non-authorizers (n=217) with respect to these demographic and clinical characteristics.

results86.2% of respondents authorized data linkage. Non-authorizers were younger, healthier (lower Charlson score), and less likely to have 3 or more recent clinical office visits. In multivariate analysis, Charlson score was no longer a significant predictor of authorization while an ER visit did predict authorization.

conclusionsYounger subjects are less likely to authorize data linkages. As such, researchers should be aware of this source of potential bias when analyzing population-based linked survey and administrative data. The presence of bias with respect to health care use is more complicated. It is dependent on how the concept is operationalized with heavy clinical users more likely to authorize and those with ER visits less so.

Indexed as

BiasMedical Record LinkageAdolescentAdultAgedFemaleHealth Services ResearchHealth SurveysHumansMaleMiddle AgedMinnesotaPatient ComplianceYoung Adult

Identifiers

PMID21497515
PMCPMC3173781

What OpenQuestion holds

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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.