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Experiences of cancer survivors returning to work decision-making: a meta-synthesis of qualitative studies
Xiao-Qin Su1, Hong-Hua Sang1, Ben-Xin Kuai1
1Medical School of Nantong University, Nantong, 226001, Jiangsu, China.
Purpose:
Return to work for cancer survivors (CSs) may be challenging, and there is a research gap in integrating the relevant experiences of the return-to-work decision-making process for CSs. Our aim was to synthesize existing qualitative research that integrates the dynamic experiences of CSs in the return-to-work decision-making process and highlights the factors influencing the return-to-work decisions of CSs.
Methods:
We retrieved qualitative studies on a relevant theme published in the PubMed, EBSCO, Scopus, Web of Science, Cochrane Library, and CINAHL databases since construction to December 2023. Literature screening, quality evaluation, and data analysis followed the PRISMA, Joanna Briggs Institute Critical Appraisal Tool (2016), and thematic analysis methods to ensure study reliability. The study was registered on PROSPERO (registration number: CRD42023429623).
Results:
Ten articles were included, and six key outcomes were identified based on Social Cognitive Career Theory (SCCT) integration: points of concern for individuals, sense of self-efficacy, outcome expectations, work perception and belonging, medical advice and guidance, and effects of the external reactions.
Conclusion:
The decision-making process for CSs to return to work is affected by various personal and external factors. Effectively addressing personal appearance, financial, and emotional issues can enhance self-efficacy of CSs. Improving external perceptions of cancer patients and enhancing social support in the workplace and medical settings can help CSs make informed decisions regarding their return to work.
Implications For Cancer Survivors:
The decision of CSs to return to work is a result of integrating personal, job, and medical care considerations. These findings contribute to the development of future interventions for CSs' return-to-work decisions that target an array of potential factors.
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