Evidence map›Paper›PMID 30251367›Full record

ArticleHealth services research2018

Differences in Risk Scores of Veterans Receiving Community Care Purchased by the Veterans Health Administration.

Amy K Rosen, Todd H Wagner, Warren B P Pettey, Michael Shwartz, Qi Chen, Jeanie Lo, William J O'Brien, Megan E Vanneman

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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. "This Is What I Acquired in the Military, I Want to Keep It at the VA": Healthcare Perspectives and Preferences Among Rural American Indian/Alaska Native Women Veterans.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Community Nursing Home Program Oversight: Can the VA Meet Increased Demand for Community-Based Care?Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Amy K RosenCenter for Healthcare, Organization and Implementation Research, Boston, MA.ORCID 0000-0002-7539-7749
Todd H WagnerHealth Economics Resource Center, Palo Alto VA, Menlo Park, CA.
Warren B P PetteyVA Salt Lake City Health Care System, Salt Lake City, UT.
Michael ShwartzCenter for Healthcare, Organization and Implementation Research, Boston, MA.
Qi ChenCenter for Healthcare, Organization and Implementation Research, Boston, MA.
Jeanie LoHealth Economics Resource Center, Menlo Park, CA.
William J O'BrienCenter for Healthcare, Organization and Implementation Research, Boston, MA.
Megan E VannemanInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System, Salt Lake City, UT.ORCID 0000-0003-3013-1362

Funding

Make Versus Buy- Examining the Evidence on Access, Utilization and Cost: Are We Buying the Right Care for the Right Amount?I01HX002646 · VA · VA BOSTON HEALTH CARE SYSTEM · PI ROSEN, AMY K, VANNEMAN, MEGAN ENFIELD · 2019 to 2021
–
6 · The paper itself

Abstract

objectiveTo assess differences in risk (measured by expected costs associated with sociodemographic and clinical profiles) between Veterans receiving outpatient services through two community care (CC) programs: the Fee program ("Fee") and the Veterans Choice Program ("Choice"). DATA SOURCES/STUDY

settingAdministrative data from VHA's Corporate Data Warehouse in fiscal years (FY) 2014-2015. STUDY

designWe compared the clinical characteristics of Veterans across three groups (Fee only, Choice only, and Fee & Choice). We classified Veterans into risk groups based on Nosos risk scores and examined the relationship between type of outpatient utilization and risk within each CC group. We also examined changes in utilization of VHA and CC in FY14-FY15. We used chi-square tests, t tests, and ANOVAs to identify significant differences between CC groups. PRINCIPAL

findingsOf the 1,400,977 Veterans using CC in FY15, 91.4 percent were Fee-only users, 4.4 percent Choice-only users, and 4.2 percent Fee & Choice users. Mean concurrent risk scores were higher for Fee only and Fee & Choice (1.9, SD = 2.7; 1.8, SD = 2.2) compared to Choice-only users (1.0, SD = 1.2) (p < .0001). Most CC users were "dual users" of both VHA and CC in FY14-FY15.

conclusionsAs care transitions from VHA to CC, VHA should consider how best to coordinate care with community providers to reduce duplication of efforts, improve handoffs, and achieve the best outcomes for Veterans.

Indexed as

AgedAmbulatory CareCommunity Health ServicesConsumer BehaviorFemaleHealth StatusHumansMaleMiddle AgedSocioeconomic FactorsUnited StatesUnited States Department of Veterans Affairspurchased carerisk scoretraditional fee basisVeteransVeterans Choice Program

Identifiers

PMID30251367
PMCPMC6235821

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.