Evidence map›Paper›PMID 31855123›Full record

ArticlePopulation health management2020

The Patient-Centered Outcomes Research Network Antibiotics and Childhood Growth Study: Implementing Patient Data Linkage.

Melanie Canterberry, Alan F Kaul, Satyender Goel, Pi-I Debby Lin, Jason P Block, Vinit P Nair, Qianli Ma, Thomas W Carton

Open access · greenAbstract read
In one paragraph

Article in Population health management, 2020. 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
2.0field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Assessing and improving research readiness in PCORnet®.Journal of clinical and translational science · 2025
    Article
  4. Privacy preserving record linkage for public health action: opportunities and challenges.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  5. Article
  6. Article
  7. Supporting research, protecting data: one institution's approach to clinical data warehouse governance.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  8. Review
  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

8 authors at 5 institutions in 1 country.

Melanie CanterberryLouisiana Public Health Institute, New Orleans, Louisiana, USA.
Alan F KaulMedical Outcomes Management, Inc., Sharon, Massachusetts, USA.
Satyender GoelNorthwestern University, Chicago, Illinois, USA.
Pi-I Debby LinDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Jason P BlockDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Vinit P NairHumana, Inc., Miramar, Florida, USA.
Qianli MaHumana, Inc., Miramar, Florida, USA.
Thomas W CartonLouisiana Public Health Institute, New Orleans, Louisiana, USA.
Harvard University · USLouisiana Public Health Institute · USSan Diego Miramar College · USHealth Outcomes Solutions (United States) · USNorthwestern University · US

Funding

Patient-Centered Outcomes Research Institute OBS-1505-30699
6 · The paper itself

Abstract

PCORnet, the Patient-Centered Outcomes Research Network, is comprised of health systems and health plans that transform electronic health records (EHRs) and claims data to a common data model (CDM) to facilitate real-world clinical research. Because patients receive health care in multiple care delivery settings, linking health records across systems and health plan claims would provide a more comprehensive and accurate picture of health care for patients. The current study expanded on a PCORnet Antibiotics and Childhood Growth (ABX) study to (1) identify and implement a privacy-preserving patient linkage solution among a clinical data research network and a health plan network within the ABX Study, and (2) assess overlap in prescribed and dispensed antibiotics and additional data gained from claims among the linked patients. This manuscript describes the linkage process and resulting overlap analysis. The authors identified 549 patients from the EHR record study cohort who had claims records with the health plan. Sixty percent (n = 329) of patients had consistent antibiotic exposure data across the 2 sources, indicating antibiotic exposure (44.3%) or nonexposure (15.7%). Among total antibiotic prescribing records, 43.1% had a matched claims record for dispensing within 60 days. Among antibiotic dispense records 26.5% were not associated with a prescribing record in the linked health systems. These findings showcase the feasibility of linking health plan claims data to PCORnet CDM in a privacy-preserving manner while also demonstrating continued gaps in data that may occur. The study highlights the importance of combining multiple health data sources for comprehensive clinical research.

Indexed as

Anti-Bacterial AgentsInformation Storage and RetrievalChildCohort StudiesElectronic Health RecordsFemaleHumansMalePatient Outcome AssessmentAnti-Bacterial Agentschildhood antibioticselectronic health recordspatient data linkage

Identifiers

PMID31855123
PMCPMC7397429
OpenAlexW2996320922

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.