Evidence map›Paper›PMID 26902242›Full record

ArticleJournal of general internal medicine2016

VA and Medicare Utilization Among Dually Enrolled Veterans with Type 2 Diabetes: A Latent Class Analysis.

Thomas R Radomski, Xinhua Zhao, Carolyn T Thorpe, Joshua M Thorpe, Chester B Good, Maria K Mor, Michael J Fine, Walid F Gellad

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  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.

Thomas R RadomskiDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Xinhua ZhaoCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Carolyn T ThorpeCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Joshua M ThorpeCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Chester B GoodDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Maria K MorCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Michael J FineDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Walid F GelladDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. walid.gellad@va.gov.

Funding

Intramural VA VA999999PHS HHS T32HP22240
6 · The paper itself

Abstract

backgroundMany Veterans treated within the VA Healthcare System (VA) are also enrolled in fee-for-service (FFS) Medicare and receive treatment outside the VA. Prior research has not accounted for the multiple ways that Veterans receive services across healthcare systems.

objectiveWe aimed to establish a typology of VA and Medicare utilization among dually enrolled Veterans with type 2 diabetes.

designThis was a retrospective cohort.

participants316,775 community-dwelling Veterans age ≥ 65 years with type 2 diabetes who were dually enrolled in the VA and FFS Medicare in 2008-2009.

methodsUsing latent class analysis, we identified classes of Veterans based upon their probability of using VA and Medicare diabetes care services, including patient visits, laboratory tests, glucose test strips, and medications. We compared the amount of healthcare use between classes and identified factors associated with class membership using multinomial regression. KEY

resultsWe identified four distinct latent classes: class 1 (53.9%) had high probabilities of VA use and low probabilities of Medicare use; classes 2 (17.2%), 3 (21.8%), and 4 (7.0%) had high probabilities of VA and Medicare use, but differed in their Medicare services used. For example, Veterans in class 3 received test strips exclusively through Medicare, while Veterans in class 4 were reliant on Medicare for medications. Living ≥ 40 miles from a VA predicted membership in classes 3 (OR 1.1, CI 1.06-1.15) and 4 (OR 1.11, CI 1.04-1.18), while Medicaid eligibility predicted membership in class 4 (OR 4.30, CI 4.10-4.51).

conclusionsVeterans with diabetes can be grouped into four distinct classes of dual health system use, representing a novel way to characterize how patients use multiple services across healthcare systems. This classification has applications for identifying patients facing differential risk from care fragmentation.

Indexed as

AgedAged, 80 and overData Interpretation, StatisticalDelivery of Health CareDiabetes Mellitus, Type 2FemaleHealth Services ResearchHospitals, VeteransHumansHypoglycemic AgentsMaleMedicareReagent StripsRetrospective StudiesUnited StatesVeteransHypoglycemic AgentsReagent Stripsdiabeteshealth services researchMedicareutilizationVeterans

Identifiers

PMID26902242
PMCPMC4835371

What OpenQuestion holds

Textmetadata
LicenceTDM
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.