Evidence map›Paper›PMID 30430570›Full record

ArticleHealth services research2018

HSR Commentary: Linking VA and Non-VA Data to Address Important US Veteran Health Services Research Issues.

Denise M Hynes, Matthew L Maciejewski, David Atkins

Abstract 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 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. Observational
  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

3 authors.

Denise M HynesCenter to Improve Veteran Involvement in Care, Veterans Affairs Portland VA Health Care System, Portland, OR.ORCID 0000-0002-6436-7157
Matthew L MaciejewskiCenter for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC.ORCID 0000-0003-1765-5938
David AtkinsDepartment of Veterans Affairs, Office of Research and Development, Washington, DC.ORCID 0000-0003-0640-3356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis commentary summarizes the methods and topics addressed in the special issue of HSR focused on linkage of United States Department of Veterans Affairs (VA) and non-VA datasets. The issue illustrates that researchers are increasingly linking diverse datasets as a valuable method for obtaining outcomes, treatments, and covariates to evaluate and examine health care delivery that includes non-VA services. The issue serves as a reference to VA and non-VA investigators alike who employ data linkage methods to address high-impact clinical and health policy evaluations that span different care systems and different datasets.

Indexed as

Health Information ExchangeHealth Services ResearchHumansInsurance Claim ReviewMedicareUnited StatesUnited States Department of Veterans AffairsData sciencelinkage methodsVeterans

Identifiers

PMID30430570
PMCPMC6235822

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.