Evidence map›Paper›PMID 24464639›Full record

ArticleJournal of cancer survivorship : research and practice2014

Function and friction at work: a multidimensional analysis of work outcomes in cancer survivors.

Michal C Moskowitz, Briana L Todd, Rusan Chen, Michael Feuerstein

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Non-medical interventions to enhance return to work for people with cancer.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Interventions to enhance return-to-work for cancer patients.The Cochrane database of systematic reviews · 2015
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Future research in cancer survivorship.Journal of cancer survivorship : research and practice · 2021
    Article
  13. Article
  14. Survivorship, Version 1.2021.Journal of the National Comprehensive Cancer Network : JNCCN · 2021
    Article
  15. Article
  16. Factors influencing return to work of cancer survivors: a population-based study in Italy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Patient and provider communication about employment following a cancer diagnosis.Journal of cancer survivorship : research and practice · 2018
    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

4 authors at 2 institutions in 1 country.

Michal C MoskowitzDepartment of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
Briana L Todd
Rusan Chen
Michael Feuerstein
Uniformed Services University of the Health Sciences · USGeorgetown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCancer survivors can experience difficulties returning to and/or remaining at work. Sociodemographic, health and well-being, symptom burden, functional limitations in relation to work demands, work environment, and various work policies and procedures can be related to work function.

methodsThis study analyzed cross-sectional data of a sample of cancer survivors (n = 1,525) who were diagnosed and treated for various types of cancer. The data were obtained from a survey of cancer survivors collected by the LiveStrong Foundation. Using a cancer survivorship and work model proposed in 2010, this study used structural equation modeling to predict work ability (whether survivors reported lower work ability following cancer) and work sustainability (whether survivors had ever lost or left a job because of cancer, i.e., work retention). Potential predictors included health and well-being, symptom burden (e.g., fatigue, pain, and distress), cancer-related worry, worry about family's cancer risk, functional impairment (i.e., physical, cognitive, and interpersonal), workplace support, and workplace problems.

resultsThe overall model predicting work ability (CFI = 0.961, TLI = 0.952, and RMSEA = 0.027) indicated that a greater level of functional limitations (B = 5.88, p < 0.01) and workplace problems (B = 0.22, p = 0.05) were significantly related to lower levels of work ability. Structural equation modeling (CFI = 0.961, TLI = 0.952, and RMSEA = 0.027) also indicated that workplace problems was a significant predictor (B = 0.498, p < 0.001) of the likelihood of losing or leaving a job because of cancer.

conclusionsFunctional limitations and problems at work including poor treatment, discrimination, being passed over for promotion, and lack of accommodations were directly related to the ability to work. Problems at work were associated with lower work sustainability (work retention). IMPLICATIONS FOR CANCER SURVIVORS: Employed cancer survivors, health care providers, and employers need to be aware of the potential implications of limitations in function (e.g., physical, cognitive, and interpersonal/social) as it relates to ability to work. In many cases, these functional limitations are responsive to rehabilitation. Workplaces also need to be educated on how to better respond to the needs of cancer survivors at work.

Indexed as

EmploymentSurvivorsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeoplasmsWorkplace

Identifiers

PMID24464639
OpenAlexW2047625448

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.