Evidence map›Paper›PMID 39532216›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2025

Healthcare Costs in the United States by Demographic Characteristics and Comorbidity Status.

Naomi N Adjei, Allen Haas, Charlotte C Sun, Hui Zhao, Paul G Yeh, Sharon H Giordano, Iakovos Toumazis, Larissa A Meyer

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  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.

Naomi N AdjeiDivision of Surgery, Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Allen HaasDivision of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Charlotte C SunDivision of Surgery, Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hui ZhaoDivision of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Paul G YehDepartment of Management, Policy, and Community Health, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
Sharon H GiordanoDivision of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Iakovos ToumazisDivision of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Larissa A MeyerDivision of Surgery, Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: lmeyer@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Training of Academic Gynecologic OncologistsT32CA101642 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIL K SOOD, Kathleen Schmeler · 2005 to 2026
$9.2M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA101642
6 · The paper itself

Abstract

objectivesCurrent, real-world healthcare cost information is needed to project future expenditures and inform policy. We estimated the healthcare costs for adults in 2019 in the United States by age, sex, race/ethnicity, geographic region, and comorbidity.

methodsWe aggregated and summarized the healthcare costs in 2021 US dollars using claims data derived from Optum's deidentified Clinformatics® Data Mart Database, which includes inpatient, outpatient, and prescription claims for commercial and Medicare Advantage beneficiaries nationwide.

resultsA total of 9 227 901 adults were included in the analysis. The largest group represented was 71 to 75 years old (13%), female (53%), White (68%), received care in the South (41%), and had commercial health insurance (56%). There was a positive relationship between healthcare cost and age. Females had a 1.3-fold multiplicative increase in costs than males (95% CI 1.33-1.34). There were 92.5% of individuals who had health claims in the Northeast, 89.6% in the Midwest, 88.9% in the South, 77.1% in the West, and 12.7% with unknown geographic region. Patients with severe renal failure, heart failure, or metastatic cancer incurred the highest mean yearly costs ($139 844, $113 031, and $85 299, respectively). Metastatic cancer and severe renal failure were associated with a 5.3-fold multiplicative increase in costs than not having these conditions, after adjusting for potential confounders (95% CI 5.26-5.41 and 4.98-5.16, respectively).

conclusionsWe identified patient characteristics and medical conditions that are associated with high healthcare cost burden and could benefit from tailored interventions. We provided detailed cost estimates to aid healthcare modeling, cost projection, and cost-minimizing interventions.

Indexed as

ComorbidityHealth Care CostsHealth ExpendituresAdultAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedSex FactorsUnited StatesYoung Adultcost-minimizationhealthcare costhealthcare expenditurehealthcare utilizationmedical comorbidities

Identifiers

PMID39532216
PMCPMC13249425

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Registered trials

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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.