Evidence map›Paper›PMID 38366027›Full record

ArticleJNCI cancer spectrum2024

Medical financial hardship between young adult cancer survivors and matched individuals without cancer in the United States.

Lihua Li, Donglan Zhang, Yan Li, Mayuri Jain, Xingyu Lin, Rebecca Hu, Junxiu Liu, Janani Thapa, Lan Mu, Zhuo Chen and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JNCI cancer spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
10.2field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

12 authors at 7 institutions in 3 countries.

Lihua LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-3154-9576
Donglan ZhangDivision of Health Services Research, Department of Foundations of Medicine, NYU Long Island School of Medicine, Mineola, NY, USA.
Yan LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mayuri JainDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Xingyu LinDepartment of Statistical and Actuarial Sciences, University of Western Ontario, London, ON, Canada.
Rebecca HuDepartment of Molecular and Cellular Biology, University of California, Berkeley, Berkeley, CA, USA.
Junxiu LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Janani ThapaDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA.
Lan MuDepartment of Geography, University of Georgia, Athens, GA, USA.
Zhuo ChenDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA.
Bian LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-9166-693X
José A PagánDepartment of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USUniversity of Georgia · USLong Island University · USNew York University · USShanghai Jiao Tong University · CNUniversity of California, Berkeley · USWestern University · CA

Funding

Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)R01HL141427 · NHLBI · NEW YORK ACADEMY OF MEDICINE · PI LIU, BIAN, YI, STELLA S · 2018 to 2021
$3.5M
Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NHLBI NIH HHS R01 HL141427NIH HHS 1R01MD013886NIH HHS R01HL141427NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

backgroundYoung adult cancer survivors face medical financial hardships that may lead to delaying or forgoing medical care. This study describes the medical financial difficulties young adult cancer survivors in the United States experience in the post-Patient Protection and Affordable Care Act period.

methodWe identified 1009 cancer survivors aged 18 to 39 years from the National Health Interview Survey (2015-2022) and matched 963 (95%) cancer survivors to 2733 control individuals using nearest-neighbor matching. We used conditional logistic regression to examine the association between cancer history and medical financial hardship and to assess whether this association varied by age, sex, race and ethnicity, and region of residence.

resultsCompared with those who did not have a history of cancer, young adult cancer survivors were more likely to report material financial hardship (22.8% vs 15.2%; odds ratio = 1.65, 95% confidence interval = 1.50 to 1.81) and behavior-related financial hardship (34.3% vs 24.4%; odds ratio = 1.62, 95% confidence interval = 1.49 to 1.76) but not psychological financial hardship (52.6% vs 50.9%; odds ratio = 1.07, 95% confidence interval = 0.99 to 1.16). Young adult cancer survivors who were Hispanic or lived in the Midwest and South were more likely to report psychological financial hardship than their counterparts.

conclusionsWe found that young adult cancer survivors were more likely to experience material and behavior-related financial hardship than young adults without a history of cancer. We also identified specific subgroups of young adult cancer survivors that may benefit from targeted policies and interventions to alleviate medical financial hardship.

Indexed as

Cancer SurvivorsFinancial StressNeoplasmsAdolescentAdultEthnicityHumansPatient Protection and Affordable Care ActUnited StatesYoung Adult

Identifiers

PMID38366027
PMCPMC10903972
OpenAlexW4391902804

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.