Evidence map›Paper›PMID 38048751›Full record

ArticleThe Journal of surgical research2024

Linking Trauma Registry Patients With Insurance Claims: Creating a Longitudinal Patient Record.

Bryant W Oliphant, Anne H Cain-Nielsen, Molly P Jarman, Naveen F Sangji, John W Scott, Scott Regenbogen, Mark R Hemmila

Abstract read
In one paragraph

Article in The Journal of surgical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Bryant W OliphantDepartment of Orthopaedic Surgery, University of Michigan, Ann Arbor, Michigan. Electronic address: bryantol@med.umich.edu.
Anne H Cain-NielsenDepartment of Surgery, University of Michigan, Ann Arbor, Michigan.
Molly P JarmanCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts.
Naveen F SangjiDepartment of Surgery, University of Michigan, Ann Arbor, Michigan.
John W ScottDepartment of Surgery, University of Michigan, Ann Arbor, Michigan.
Scott RegenbogenDepartment of Surgery, University of Michigan, Ann Arbor, Michigan.
Mark R HemmilaDepartment of Surgery, University of Michigan, Ann Arbor, Michigan.

Funding

Precision coordination of therapeutic and prophylactic antibiotics to reduce infection, toxicity, and emergence of resistance following acute abdominal surgeryR01HS027788 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PAI, MANJUNATH P, WANG, STEWART C · 2021 to 2025
$2.3M
Long-term Trauma Outcomes and Insurance PolicyK08HS028672 · AHRQ · UNIVERSITY OF WASHINGTON · PI SCOTT, JONATHAN WILLIAM · 2021 to 2025
$738k
Health Impacts of Prehospital Pain Management for Injured Older AdultsK01AG065414 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI JARMAN, MOLLY PRICE · 2020 to 2024
$582k
Trauma Center Characteristics that Drive Quality, Cost and Efficiency in Lower Extremity InjuriesK23AR079565 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OLIPHANT, BRYANT · 2021 to 2025
$469k
AHRQ HHS K08 HS028672AHRQ HHS R01 HS027788NIAMS NIH HHS K23 AR079565NIA NIH HHS K01 AG065414
6 · The paper itself

Abstract

introductionTrauma registries and their quality improvement programs only collect data from the acute hospital admission, and no additional information is captured once the patient is discharged. This lack of long-term data limits these programs' ability to affect change. The goal of this study was to create a longitudinal patient record by linking trauma registry data with third party payer claims data to allow the tracking of these patients after discharge.

methodsTrauma quality collaborative data (2018-2019) was utilized. Inclusion criteria were patients age ≥18, ISS ≥5 and a length of stay ≥1 d. In-hospital deaths were excluded. A deterministic match was performed with insurance claims records based on the hospital name, date of birth, sex, and dates of service (±1 d). The effect of payer type, ZIP code, International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis specificity and exact dates of service on the match rate was analyzed.

resultsThe overall match rate between these two patient record sources was 27.5%. There was a significantly higher match rate (42.8% versus 6.1%, P < 0.001) for patients with a payer that was contained in the insurance collaborative. In a subanalysis, exact dates of service did not substantially affect this match rate; however, specific International Classification of Diseases, Tenth Revision, Clinical Modification codes (i.e., all 7 characters) reduced this rate by almost half.

conclusionsWe demonstrated the successful linkage of patient records in a trauma registry with their insurance claims. This will allow us to the collect longitudinal information so that we can follow these patients' long-term outcomes and subsequently improve their care.

Indexed as

InsuranceMedical Record LinkageHospitalizationHumansMedical RecordsRegistriesLinkingLong termOutcomesQualityRegistryTrauma

Identifiers

PMID38048751
PMCPMC11091961

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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.