Evidence map›Paper›PMID 28462490›Full record

ArticleJournal of general internal medicine2017

The Impact of Medication-Based Risk Adjustment on the Association Between Veteran Health Outcomes and Dual Health System Use.

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

Abstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2017. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Medicaid Expansion and Veterans' Reliance on the VA for Depression Care.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Measuring Multimorbidity: A Risky Business.Journal of general internal medicine · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Thomas R RadomskiCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA. radomskitr@upmc.edu.
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.
Jennifer G NaplesCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Maria K MorCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Chester B GoodCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Michael J FineCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.
Walid F GelladCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, University Drive, 151C, Pittsburgh, PA, 15240, USA.

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
Improving Analysis of Endogenous Multimodal Treatments for Use in Geriatrics Health Outcomes StudiesI01HX002237 · VA · VA BOSTON HEALTH CARE SYSTEM · PI GARRIDO, MELISSA M · 2018 to 2021
–
HSRD VA CDA 09-207HSRD VA I01 HX001765HSRD VA SDR 02-237NCATS NIH HHS KL2 TR001856NIA NIH HHS P30 AG024827NIA NIH HHS T32 AG021885
6 · The paper itself

Abstract

backgroundVeterans commonly receive care from both Veterans Health Administration (VA) and non-VA sources (i.e., dual use). A major challenge in comparing health outcomes between dual users and VA-predominant users is applying an accurate method of risk adjustment.

objectiveTo determine how different comorbidity indices affect the association between patterns of dual use and health outcomes.

designRetrospective cohort.

participantsA total of 316,775 community-dwelling Veterans (≥65 years) with type 2 diabetes who were enrolled in VA and fee-for-service Medicare from 2008 to 2010.

methodsWe determined the associations between dual use and death or diabetes-related hospitalization in FY 2010 using multivariable models incorporating claims-based (Elixhauser) or medication-based (RxRisk-V) risk adjustment. Dual use was classified using four previously identified groups of health services users: 1) VA-predominant, 2) VA + Medicare visits and labs, 3) VA + Medicare test strips, and 4) VA + Medicare medications. KEY

resultsControlling for Elixhauser comorbidities, dual-use groups 2-4 had significantly decreased odds of death or hospitalization compared to VA-predominant users. Controlling for RxRisk-V comorbidities, groups 2-4 had increased odds of death compared to VA-predominant users, but variable odds of hospitalization, with group 2 having increased odds (OR 1.06, CI 1.04-1.09), while groups 3 (OR 0.96, CI 0.94-0.99) and 4 (OR 0.93, CI 0.89-0.97) had decreased odds.

conclusionsThe method of risk adjustment drastically influences the direction of effect in health outcomes among dual users of VA and Medicare. These findings underscore the need for standardized and reliable risk adjustment methods that are not susceptible to measurement differences across different health systems.

Indexed as

Outcome Assessment, Health CareAgedAged, 80 and overBlood Glucose Self-MonitoringComorbidityDiabetes Mellitus, Type 2Fee-for-Service PlansFemaleHospitalizationHospitals, VeteransHumansHypoglycemic AgentsMaleMedicareRetrospective StudiesRisk AdjustmentHypoglycemic Agentsdiabeteshealth services researchMedicareoutcomesVeterans

Identifiers

PMID28462490
PMCPMC5570738

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.