Evidence map›Paper›PMID 35022053›Full record

ArticleBMC health services research2022

Optimizing care coordination to address social determinants of health needs for dual-use veterans.

Heidi Sjoberg, Wenhui Liu, Carly Rohs, Roman A Ayele, Marina McCreight, Ashlea Mayberry, Catherine Battaglia

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Care coordination for persons with mental health challenges: a scoping review.International journal of mental health systems · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. 'It Makes You Sit Back and Think Where You Wanna Go': Veteran experiences in virtual whole health peer-led groups.Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  10. 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

7 authors at 2 institutions in 1 country.

Heidi SjobergDepartment of Veterans Affairs, Eastern Colorado Health Care System, 1700 N. Wheeling St, Aurora, CO, 80045, USA. Heidi.Sjoberg@va.gov.ORCID http://orcid.org/0000-0001-9599-5626
Wenhui LiuDepartment of Veterans Affairs, Eastern Colorado Health Care System, 1700 N. Wheeling St, Aurora, CO, 80045, USA.
Carly RohsDepartment of Veterans Affairs, Eastern Colorado Health Care System, 1700 N. Wheeling St, Aurora, CO, 80045, USA.
Roman A AyeleDepartment of Veterans Affairs, Eastern Colorado Health Care System, 1700 N. Wheeling St, Aurora, CO, 80045, USA.
Marina McCreightDepartment of Veterans Affairs, Eastern Colorado Health Care System, 1700 N. Wheeling St, Aurora, CO, 80045, USA.
Ashlea MayberryDepartment of Veterans Affairs, Eastern Colorado Health Care System, 1700 N. Wheeling St, Aurora, CO, 80045, USA.
Catherine BattagliaDepartment of Veterans Affairs, Eastern Colorado Health Care System, 1700 N. Wheeling St, Aurora, CO, 80045, USA.
VA Eastern Colorado Health Care System · USColorado School of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVeterans increasingly utilize both the Veteran's Health Administration (VA) and non-VA hospitals (dual-users). Dual-users are at increased risk of fragmented care and adverse outcomes and often do not receive necessary follow-up care addressing social determinants of health (SDOH). We developed a Veteran-informed social worker-led Advanced Care Coordination (ACC) program to decrease fragmented care and provide longitudinal care coordination addressing SDOH for dual-users accessing non-VA emergency departments (EDs) in two communities.

methodsACC had four core components: 1. Notification from non-VA ED providers of Veterans' ED visit; 2. ACC social worker completed a comprehensive assessment with the Veteran to identify SDOH needs; 3. Clinical intervention addressing SDOH up to 90 days post-ED discharge; and 4. Warm hand-off to Veteran's VA primary care team. Data was documented in our program database. We performed propensity matching between a control group and ACC participants between 4/10/2018 - 4/1/2020 (N- = 161). A joint survival model using Markov Chain Monte Carlo technique was employed for 30-day outcomes. We performed Difference-In-Difference analyses on number of ED visits, admissions, and primary care physician (PCP) visits 120-day pre/post discharge.

resultsWhen compared to a matched control group ACC had significantly lower risk of 30-day ED visits (Hazard Ratio (HR) = 0.61, 95% Confidence Interval (CI) = (0.42, 0.92)) and a higher probability of PCP visits at 13-30 days post-ED visit (HR = 1.5, 95% CI = (1.01, 2.22)). Veterans enrolled in ACC were connected to VA PCP visits (50%), VA benefits (19%), home health care (10%), mental health and substance use treatment (7%), transportation (7%), financial assistance (5%), and homeless resources (2%).

conclusionWe developed and implemented a program addressing dual-users' SDOH needs post non-VA ED discharge. Social workers connected dual-users to needed follow-up care and resources which reduced fragmentation and adverse outcomes.

Indexed as

VeteransAftercareHospitals, VeteransHumansPatient DischargeSocial Determinants of HealthUnited StatesUnited States Department of Veterans Affairsemergency departmentssocial determinants of healthsocial workveteransveterans health administration

Identifiers

PMID35022053
PMCPMC8754195
OpenAlexW4226098698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.