Evidence map›Paper›PMID 37767603›Full record

ArticleHealth services research2024

Association between patient-reported social and behavioral risks and health care costs in high-risk Veterans health administration patients.

Matthew L Maciejewski, Liberty Greene, Janet M Grubber, Dan V Blalock, Josephine Jacobs, Mayuree Rao, Donna M Zulman, Valerie A Smith

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. 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 at 4 institutions in 1 country.

Matthew L MaciejewskiCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, North Carolina, USA.ORCID 0000-0003-1765-5938
Liberty GreeneCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, California, USA.
Janet M GrubberCooperative Studies Program Coordinating Center, Boston Veterans Affairs Health Care System, Boston, Massachusetts, USA.
Dan V BlalockCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, North Carolina, USA.
Josephine JacobsCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, California, USA.ORCID 0000-0003-0366-2985
Mayuree RaoSeattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington, USA.
Donna M ZulmanCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, California, USA.ORCID 0000-0001-8904-2810
Valerie A SmithCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, North Carolina, USA.ORCID 0000-0001-5170-9819
Duke University · USVA Palo Alto Health Care System · USVA Boston Healthcare System · USVA Puget Sound Health Care System · US

Funding

Telehealth Treatment of Veterans with Alcohol Misuse at Risk for Cardiovascular DiseaseIK2HX003085 · VA · DURHAM VA MEDICAL CENTER · PI BLALOCK, DANIEL V · 2021 to 2025
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HSRD VA I01 HX003269HSRD VA IK2 HX003085HSRD VA IK6 HX003157
6 · The paper itself

Abstract

objectiveSocial risks complicate patients' ability to manage their conditions and access healthcare, but their association with health expenditures is not well established. To identify patient-reported social risk, behavioral, and health factors associated with health expenditures in Veterans Affairs (VA) patients at high risk for hospitalization or death. DATA SOURCES, STUDY SETTING, AND STUDY

designProspective cohort study among high-risk Veterans obtaining VA care. Patient-reported social risk, function, and other measures derived from a 2018 survey sent to 10,000 VA patients were linked to clinical and demographic characteristics extracted from VA data. Response-weighted generalized linear and marginalized two-part models were used to examine VA expenditures (total, outpatient, medication, inpatient) 1 year after survey completion in adjusted models. PRINCIPAL

findingsAmong 4680 survey respondents, the average age was 70.9 years, 6.3% were female, 16.7% were African American, 20% had body mass index ≥35, 42.4% had difficulty with two or more basic or instrumental activities of daily living, 19.3% reported transportation barriers, 12.5% reported medication insecurity and 21.8% reported food insecurity. Medication insecurity was associated with lower outpatient expenditures (-$1859.51 per patient per year, 95% confidence interval [CI]: -3200.77 to -518.25) and lower total expenditures (-$4304.99 per patient per year, 95% CI: -7564.87 to -1045.10). Transportation barriers were negatively associated with medication expenditures (-$558.42, 95% CI: -1087.93 to -31.91). Patients with one functional impairment had higher outpatient expenditures ($2997.59 per patient year, 95% CI: 1185.81-4809.36) than patients without functional impairments. No social risks were associated with inpatient expenditures.

conclusionsIn this study of VA patients at high risk for hospitalization and mortality, few social and functional measures were independently associated with the costs of VA care. Individuals with functional limitations and those with barriers to accessing medications and transportation may benefit from targeted interventions to ensure that they are receiving the services that they need.

Indexed as

VeteransVeterans HealthActivities of Daily LivingAgedFemaleHealth Care CostsHumansMalePatient Reported Outcome MeasuresProspective StudiesUnited StatesUnited States Department of Veterans Affairselectronic health recordhealthcare costspatient complexitysocial and behavioral risk factorsVeterans

Identifiers

PMID37767603
PMCPMC10771909
OpenAlexW4387116148

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.