Evidence map›Paper›PMID 42727029›Full record

ArticleJCO oncology practice2026

Social Determinants of Health Coding Among Hospital Visits Made by Adults With Cancer.

Malcolm Su, Samar Bhat, Michael D Dang, Deborah Freeland, Benjamin Johnson, Jessica I Billig, Navid Sadeghi, Arthur S Hong

Abstract read
In one paragraph

Article in JCO oncology practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Malcolm SuDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-6496-3349
Samar BhatDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Michael D DangDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0009-0003-9169-4334
Deborah FreelandDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-8663-3583
Benjamin JohnsonDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Jessica I BilligDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-7586-6306
Navid SadeghiDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-7786-8786
Arthur S HongDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-6516-6819

Funding

Actionable categories of avoidable hospital care among adults with cancerR01CA282242 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Arthur Seokjae Hong · 2023 to 2026
$2.3M
NCI NIH HHS R01 CA282242
6 · The paper itself

Abstract

purposeSocial determinants of health (SDOH) affect clinical outcomes among patients diagnosed with cancer. In 2015, International Classification of Diseases-10 diagnosis codes starting with Z prefix, or Z-codes, were introduced to capture SDOH complexity. We examined Z-code uptake for patients treated by an academic medical center and county safety-net health system and their comprehensive hospital visits from a regional health information exchange.

methodsWe identified adults age 18 years or older from two tumor registries, diagnosed from January 1, 2015, to December 31, 2023, and identifiably linked them to their longitudinal, comprehensive hospital visits. We characterized Z-code uptake trends as patients visited over 80 hospitals, for all payers including the uninsured.

resultsWe identified 57,598 patients with 181,684 associated ED and inpatient hospital discharges across more than 80 regional hospitals. Approximately 4.7% of patients had at least one Z-code entered during any hospital visit, and Z-codes were present in just 2.8% of all hospital discharges. Z-code use rose over time from 1.1% of visits in 2016 to 11.3% by 2023. Of the cohort, 23.9% were treated by the county safety-net system; 9.4% had Medicaid and 28.6% were uninsured/charity care at diagnosis; and 24.4% had advanced-stage disease. The most common Z-code was Z59 (housing and economic circumstances), accounting for 48.6% of all Z-codes. Documentation was nearly three-fold higher at the county safety-net system than at the academic center (8.6%

conclusionIn a population-based sample of adults with cancer and their comprehensive hospital visits, Z-code use increased to over 11% of hospital visits by 2023, and housing and economic problems were most prominent. Future work should explore the validity of this coding at an individual patient level.

Identifiers

PMID42727029
PMCPMC13592213

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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.