Evidence map›Paper›PMID 33140281›Full record

ArticleJournal of general internal medicine2021

Healthcare Fragmentation and Incident Acute Coronary Heart Disease Events: a Cohort Study.

Lisa M Kern, Mangala Rajan, Joanna Bryan Ringel, Lisandro D Colantonio, Paul M Muntner, Lawrence P Casalino, Michael Pesko, Evgeniya Reshetnyak, Laura C Pinheiro, Monika M Safford

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Thirty-Day Post-Discharge Outcomes Following COVID-19 Infection.Journal of general internal medicine · 2021
    Article
  12. Fragmented Ambulatory Care and Medication Count among Older Adults.American journal of medical quality : the official journal of the American College of Medical Quality
    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.

Lisa M KernWeill Cornell Medicine , New York, NY, USA. lmk2003@med.cornell.edu.ORCID 0000-0003-1191-8100
Mangala RajanWeill Cornell Medicine , New York, NY, USA.
Joanna Bryan RingelWeill Cornell Medicine , New York, NY, USA.
Lisandro D ColantonioUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Paul M MuntnerUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Lawrence P CasalinoWeill Cornell Medicine , New York, NY, USA.
Michael PeskoGeorgia State University, Atlanta, GA, USA.
Evgeniya ReshetnyakWeill Cornell Medicine , New York, NY, USA.
Laura C PinheiroWeill Cornell Medicine , New York, NY, USA.
Monika M SaffordWeill Cornell Medicine , New York, NY, USA.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
Healthcare Fragmentation and Cardiovascular OutcomesR01HL135199 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KERN, LISA M · 2017 to 2020
$3.3M
NHLBI NIH HHS R01 HL080477NHLBI NIH HHS R01HL080477NHLBI NIH HHS R01 HL135199NHLBI NIH HHS R01HL135199NINDS NIH HHS U01 NS041588NINDS NIH HHS U01NS041588
6 · The paper itself

Abstract

backgroundHighly fragmented ambulatory care (i.e., care spread across many providers without a dominant provider) has been associated with excess tests, procedures, emergency department visits, and hospitalizations. Whether fragmented care is associated with worse health outcomes, or whether any association varies with health status, is unclear.

objectiveTo determine whether fragmented care is associated with the risk of incident coronary heart disease (CHD) events, overall and stratified by self-rated general health. DESIGN AND

participantsWe conducted a secondary analysis of the nationwide prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study (2003-2016). We included participants who were ≥ 65 years old, had linked Medicare fee-for-service claims, and had no history of CHD (N = 10,556). MAIN MEASURES: We measured fragmentation with the reversed Bice-Boxerman Index. We used Cox proportional hazards models to determine the association between fragmentation as a time-varying exposure and adjudicated incident CHD events in the 3 months following each exposure period. KEY

resultsThe mean age was 70 years; 57% were women, and 34% were African-American. Over 11.8 years of follow-up, 569 participants had CHD events. Overall, the adjusted hazard ratio (HR) for the association between high fragmentation and incident CHD events was 1.14 (95% confidence interval (CI) 0.92, 1.39). Among those with very good or good self-rated health, high fragmentation was associated with an increased hazard of CHD events (adjusted HR 1.35; 95% CI 1.06, 1.73; p = 0.01). Among those with fair or poor self-rated health, high fragmentation was associated with a trend toward a decreased hazard of CHD events (adjusted HR 0.54; 95% CI 0.29, 1.01; p = 0.052). There was no association among those with excellent self-rated health.

conclusionHigh fragmentation was associated with an increased independent risk of incident CHD events among those with very good or good self-rated health.

Indexed as

Coronary DiseaseMedicareAgedCohort StudiesDelivery of Health CareFemaleHumansIncidenceMaleProspective StudiesRisk FactorsUnited States

Identifiers

PMID33140281
PMCPMC7878592

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.