IDEAS home Printed from https://ideas.repec.org/p/rug/rugwps/19-985.html
   My bibliography  Save this paper

Labour Market Outcomes for Cancer Survivors: A Review of the Reviews

Author

Listed:
  • Adelina Sharipova
  • Stijn Baert

Abstract

To synthesise the existing reviews conducted on the labour market outcomes of cancer survivors by focusing on (i) the convergences and divergences on the overall work-related outcomes, (ii) the moderating factors studied to date, and (iii) an identification of areas where more research is needed in the future. A systematic review of the existing reviews on labour market outcomes for cancer survivors was performed. Bibliographic search for eligible studies published before January 2019 involved the following three core concepts: (i) cancer survivors, (ii) work, and (iii) review. The quality of the included reviews was assessed based on the Johns Hopkins Hospital Evidence Level and Quality Guide. Following this, a narrative synthesis of the findings was completed. In total, 35 articles met the inclusion criteria. The average return to work (RTW) rate varied between 54% and 66%. The self-reported work ability was consistently lower following cancer. This review also found strong converging evidence of self-reported discrimination after cancer. The effects on work performance showed several inconsistencies, possibly due to the use of different definitions of work performance. Most moderating factors for successful work outcomes showed converging evidence, except for age, marital status, cancer type, and country. We provide several possible explanations and linkages for these divergencies. Further investigation of causal relationships by (i) using matched control groups and by (ii) gathering longitudinal data, and the use of more standardised definitions of the outcome variables are the two main future research recommendations. Furthermore, no studies have succeeded in measuring the work outcomes objectively. We provide specific recommendations from an interdisciplinary context to solve this.

Suggested Citation

  • Adelina Sharipova & Stijn Baert, 2019. "Labour Market Outcomes for Cancer Survivors: A Review of the Reviews," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/985, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:19/985
    as

    Download full text from publisher

    File URL: http://wps-feb.ugent.be/Papers/wp_19_985.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Baert, Stijn & De Visschere, Sarah & Schoors, Koen & Vandenberghe, Désirée & Omey, Eddy, 2016. "First depressed, then discriminated against?," Social Science & Medicine, Elsevier, vol. 170(C), pages 247-254.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Angelini, Viola & Costa-Font, Joan, 2023. "Health and wellbeing spillovers of a partner's cancer diagnosis," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 422-437.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emmanuel Duguet & Rémi Le Gall & Yannick L’Horty & Pascale Petit, 2018. "How does labour market history influence the access to hiring interviews?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 39(4), pages 519-533, July.
    2. Baert, Stijn, 2017. "Hiring Discrimination: An Overview of (Almost) All Correspondence Experiments Since 2005," GLO Discussion Paper Series 61, Global Labor Organization (GLO).
    3. Margaret Maurer-Fazio & Sili Wang, 2018. "Does marital status affect how firms interpret job applicants’ un/employment histories?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 39(4), pages 567-580, July.
    4. Maryam Dilmaghani, 2022. "The link between smoking, drinking and wages: Health, workplace social capital or discrimination?," Industrial Relations Journal, Wiley Blackwell, vol. 53(2), pages 160-183, March.
    5. Sterkens, Philippe & Baert, Stijn & Rooman, Claudia & Derous, Eva, 2021. "As if it weren’t hard enough already: Breaking down hiring discrimination following burnout," Economics & Human Biology, Elsevier, vol. 43(C).
    6. Van Belle, Eva & Caers, Ralf & De Couck, Marijke & Di Stasio, Valentina & Baert, Stijn, 2017. "Why Is Unemployment Duration a Sorting Criterion in Hiring?," IZA Discussion Papers 10876, Institute of Labor Economics (IZA).
    7. L'Horty, Yannick & Mahmoudi, Naomie & Petit, Pascale & Wolff, François-Charles, 2022. "Is disability more discriminatory in hiring than ethnicity, address or gender? Evidence from a multi-criteria correspondence experiment," Social Science & Medicine, Elsevier, vol. 303(C).
    8. Namingit, Sheryll & Blankenau, William & Schwab, Benjamin, 2021. "Sick and tell: A field experiment analyzing the effects of an illness-related employment gap on the callback rate," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 865-882.
    9. Schaerer, Michael & du Plessis, Christilene & Nguyen, My Hoang Bao & van Aert, Robbie C.M. & Tiokhin, Leo & Lakens, Daniël & Giulia Clemente, Elena & Pfeiffer, Thomas & Dreber, Anna & Johannesson, Mag, 2023. "On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 179(C).
    10. Bjørnshagen, Vegar, 2021. "The mark of mental health problems. A field experiment on hiring discrimination before and during COVID-19," Social Science & Medicine, Elsevier, vol. 283(C).
    11. Philippe Sterkens & Stijn Baert & Claudia Rooman & Eva Derous, 2020. "As if it weren’t hard enough already: Breaking down hiring discrimination following burnout A causal machine learning evaluation of training in Belgium," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/1000, Ghent University, Faculty of Economics and Business Administration.

    More about this item

    Keywords

    labour market outcomes; employment; return to work; cancer survivorship; review of reviews; research overview;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rug:rugwps:19/985. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nathalie Verhaeghe (email available below). General contact details of provider: https://edirc.repec.org/data/ferugbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.