Evidence map›Paper›PMID 31045693›Full record

ArticleMedical care2019

Variations in VA and Medicare Use Among Veterans With Diabetes: Impacts on Ambulatory Care Sensitive Conditions Hospitalizations for 2008, 2009, and 2010.

Danielle E Rose, Mazhgan Rowneki, Usha Sambamoorthi, Dennis Fried, Nilanjana Dwibedi, Chin-Lin Tseng, Nisha Jani, Elizabeth M Yano, Drew A Helmer

Abstract read
In one paragraph

Article in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

9 authors.

Danielle E RoseVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA.
Mazhgan RownekiWar Related Illness and Injury Study Center, Veterans Affairs New Jersey Healthcare System, East Orange, NJ.
Usha SambamoorthiDepartment of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], Morgantown, WV.
Dennis FriedWar Related Illness and Injury Study Center, Veterans Affairs New Jersey Healthcare System, East Orange, NJ.
Nilanjana DwibediDepartment of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], Morgantown, WV.
Chin-Lin TsengWar Related Illness and Injury Study Center, Veterans Affairs New Jersey Healthcare System, East Orange, NJ.
Nisha JaniWar Related Illness and Injury Study Center, Veterans Affairs New Jersey Healthcare System, East Orange, NJ.
Elizabeth M YanoDepartment of Health Policy & Management, UCLA Fielding School of Public Health, Los Angeles, CA.
Drew A HelmerWar Related Illness and Injury Study Center, Veterans Affairs New Jersey Healthcare System, East Orange, NJ.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

introductionVA and Medicare use among older Veterans has been considered fragmented care, however, it may represent access to needed care.

methodsThe population studied were Veterans with diabetes, age 66 years and older, dually enrolled in VA and Medicare. DATA SOURCE/STUDY

settingWe conducted a dynamic retrospective cohort study with 2008, 2009, and 2010 as the outcome years (Ambulatory Care Sensitive Conditions Hospitalization (ACSC-H) or not). We analyzed administrative data to identify comorbidities; ambulatory care utilization to identify variations in use before hospitalization. We linked 2007 primary care (PC) survey data to assess if organizational factors were associated with ACSC-H. MEASURES AND ANALYSIS: We identified ACSC-Hs using a validated definition. We categorized VA/Medicare use as: single system; dual system: supplemental specialty care use; or primary care use. Using hierarchical logistic regression models, we tested for associations between VA/Medicare use, organizational characteristics, and ACSC-H controlling for patient-level, organizational-level, and area-level characteristics.

resultsOur analytic population was comprised of 210,726 Medicare-eligible Veterans; more than one quarter had an ACSC-H. We found that single system users had higher odds of ACSC-H compared with dual system specialty supplemental care use (odds ratio, 1.14; 95% confidence interval, 1.09-1.20), and no significant difference between dual-system users. Veterans obtaining care at sites where PC leaders reported greater autonomy (eg, authority over personnel issues) had lower odds of ACSC-H (odds ratio, 0.74; 95% confidence interval, 0.59-0.92). DISCUSSION: Our findings suggest that earlier assumptions about VA/Medicare use should be weighed against the possibility that neither VA nor Medicare may address complex Veterans' health needs. Greater PC leader autonomy may allow for tailoring of care to match local clinical contexts.

Indexed as

AgedAmbulatory CareComorbidityDiabetes MellitusFemaleHospitalizationHumansMaleMedicareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsUtilization ReviewVeterans

Identifiers

PMID31045693
PMCPMC7418059

What OpenQuestion holds

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Registered trials

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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.