Evidence map›Paper›PMID 30094837›Full record

ArticleHealth services research2018

Comparative Assessment of Utilization and Hospital Outcomes of Veterans Receiving VA and Non-VA Outpatient Dialysis.

Virginia Wang, Cynthia J Coffman, Karen M Stechuchak, Theodore S Z Berkowitz, Paul L Hebert, David Edelman, Ann M O'Hare, Hollis J Weidenbacher, Matthew L Maciejewski

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Survival among Veterans Obtaining Dialysis in VA and Non-VA Settings.Journal of the American Society of Nephrology : JASN · 2019
    Article
  5. 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 at 3 institutions in 1 country.

Virginia WangCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.ORCID 0000-0002-2344-200X
Cynthia J CoffmanCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.
Karen M StechuchakCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.
Theodore S Z BerkowitzCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.
Paul L HebertCenter for Health Services Research in Older Adults, Puget Sound Health Care System, Seattle, WA.ORCID 0000-0002-5886-7964
David EdelmanCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.
Ann M O'HareCenter for Health Services Research in Older Adults, Puget Sound Health Care System, Seattle, WA.
Hollis J WeidenbacherCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.
Matthew L MaciejewskiCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.
Duke University · USDurham VA Health Care System · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGrowing demand for VA dialysis exceeds its supply and travel distances prohibit many Veterans from receiving dialysis in a VA facility, leading to increased use of dialysis from non-VA providers. This study compared utilization and hospitalization outcomes among Veterans receiving chronic dialysis in VA and non-VA settings in 2008-2013. DATA SOURCES: VA, Medicare, and national disease registry data. STUDY

designNational cohort of 27,301 Veterans initiating dialysis, observed for a period of 2 years after treatment initiation. We used multinomial logistic regression to examine associations between patient characteristics and dialysis use in VA, non-VA community settings via VA Purchased Care (VA-PC), community settings via Medicare, or Dual settings. Zero-inflated negative binomial regression was used to compare risk of hospitalization and days spent in the hospital across dialysis settings. PRINCIPAL

findingsSixty-seven percent of Veterans obtained community-based dialysis exclusively via Medicare, 11 percent in the community via VA-PC, 4 percent in VA, and 18 percent in Dual settings. Financial and geographic access factors were important predictors of dialysis setting, but days spent in the hospital and risk of hospitalization did not differ meaningfully across settings.

conclusionsMost Veterans obtained dialysis in the community. Dialysis setting appeared to have little impact on risk of hospitalization among Veterans.

Indexed as

AgedAged, 80 and overAge FactorsCommunity Health ServicesFemaleHealth ExpendituresHospitalizationHumansLogistic ModelsMaleMedicareMiddle AgedOutpatientsRacial GroupsRenal DialysisRetrospective Studiescomparative effectiveness researchDialysisend-stage renal diseaseMedicareVAveteran

Identifiers

PMID30094837
PMCPMC6235811
OpenAlexW2885239522

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.