Evidence map›Paper›PMID 31933035›Full record

ArticleHealth economics review2020

The long-term effects of cancer survivorship on household assets.

Tae-Young Pak, Hyungsoo Kim, Kyoung Tae Kim

Open access · goldAbstract read
In one paragraph

Article in Health economics review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  7. Medical Financial Hardship and Food Security among Cancer Survivors in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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  8. Article
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  11. Patient-reported benefit from proposed interventions to reduce financial toxicity during cancer treatment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  12. Health care costs for adolescents and young adults with cancer: a Wisconsin community-based hospital study between 2005 and 2020.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  13. Article
  14. Subjective life expectancy and associated factors among cancer survivors over 45 years old: evidence from the CHARLS.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  15. Article
  16. Financial Toxicity Considerations in Breast Reconstruction: Recommendations for Research and Practice.Women's health issues : official publication of the Jacobs Institute of Women's Health
    Article
  17. 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

3 authors at 3 institutions in 2 countries.

Tae-Young PakDepartment of Consumer Sciences, Sungkyunkwan University, Seoul, South Korea. typak@skku.edu.ORCID http://orcid.org/0000-0003-2380-7256
Hyungsoo KimDepartment of Family Sciences, University of Kentucky, Lexington, KY, US.
Kyoung Tae KimDepartment of Consumer Sciences, University of Alabama, Tuscaloosa, AL, US.
Sungkyunkwan University · KRUniversity of Alabama · USUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLess is known about the impact of cancer on household assets and household financial portfolio during which cancer survivors face higher mortality risk. Economic theory predicts that cancer survivors would deplete their wealth in such a way that meets immediate financial needs for treatment and that hedges the risk of anticipated medical expenses associated with recurrence. Building upon this prediction, we examine long-term changes in household assets in response to cancer diagnosis among middle-aged and elderly Americans (age ≥ 50).

resultsUsing the 2000-2014 waves of the Health and Retirement Study, we estimated the household fixed effects regression that regresses household assets on time elapsed since cancer diagnosis (≤ 2 years, > 2 but ≤4 years, > 4 but ≤6 years, and > 6 but ≤8 years). Regression estimates were adjusted for demographic characteristics, general health condition, employment outcomes, and household economic attributes. Household assets were measured by total net worth as well as the amount of savings held in each asset category. The loss of household assets attributable to cancer was estimated to be $125,832 in 2015 dollars per household with a cancer patient. This change came from statistically significant reductions in investment assets, miscellaneous savings, real estate equity, and business equity, and increases in unsecured debt. We also found 17.2-28.0% increases in cash and cash-equivalent assets from + 2 years since diagnosis through the rest of the study periods. The accumulation of cash was observed for both the well-insured group (multiple coverages) and those with limited insurance (single coverage).

conclusionsThe results showed evidence of both asset depletion and precautionary accumulation of liquid assets among cancer survivors, which reduces risk exposure of household financial portfolio. Our findings highlighted that household asset is an important source of liquidity to finance cancer care and to absorb the expected expenditure risk associated with cancer recurrence. We also showed that health insurance provides limited coverage of health risks associated with cancer.

Indexed as

Asset depletionBackground riskCancer treatmentFinancial toxicityHealth shock

Identifiers

PMID31933035
PMCPMC6958665
OpenAlexW3003353289

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.