ArticleJournal of cancer survivorship : research and practice2020
Supporting employers to enhance the return to work of cancer survivors: development of a web-based intervention (MiLES intervention).
Article in Journal of cancer survivorship : research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
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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.
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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.
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Who cites it
23 citing papers in PubMed, 53 citations in OpenAlex.
- A randomised feasibility trial of an employer-based intervention for enhancing successful return to work of cancer survivors (MiLES intervention).BMC public health · 2021Trial
- Assisting Employers of Small and Medium-Sized Enterprises (SMEs) to Support Employees on Long-Term Sick-Leave: Development of a Web-Based SME Tool Using Intervention Mapping.Journal of occupational rehabilitation · 2026Article
- A scoping review on information and support needs regarding cancer and work: part II-needs of employers and professionals in supporting cancer survivors.Journal of cancer survivorship : research and practice · 2026Review
- A scoping review on information and support needs regarding cancer and work: part I - cancer survivors.Journal of cancer survivorship : research and practice · 2026Review
- Article
- Development of a digital, self-guided return-to-work toolkit for stroke survivors and employers using intervention mapping.PLOS digital health · 2025Article
- Article
- Acceptability of the eHealth Intervention Sustainable Worker Digital Support for Persons With Chronic Pain and Their Employers (SWEPPE): Questionnaire and Interview Study.JMIR human factors · 2023Article
- Cancer survivors and adverse work outcomes: associated factors and supportive interventions.British medical bulletin · 2023Review
- 'Beyond Cancer' Rehabilitation Program to Support Breast Cancer Survivors to Return to Health, Wellness and Work: Feasibility Study Outcomes.Current oncology (Toronto, Ont.) · 2023Article
- Designing an evidence-based working method for medical work disability prognosis evaluation-an intervention mapping approach.Frontiers in public health · 2023Article
- Article
- Strengthening supervisor support for employees with common mental health problems: developing a workplace intervention using intervention mapping.BMC public health · 2022Article
- Supporting the Return to Work of Breast Cancer Survivors: From a Theoretical to a Clinical Perspective.International journal of environmental research and public health · 2022Article
- Acceptability and Feasibility of a Return-to-Work Intervention for Posttreatment Breast Cancer Survivors: Protocol for a Co-design and Development Study.JMIR research protocols · 2022Article
- Involuntariness of job changes is related to less satisfaction with occupational development in long-term breast cancer survivors.Journal of cancer survivorship : research and practice · 2022Article
- Evaluation of a blended care programme for caregivers and working pregnant women to prevent adverse pregnancy outcomes: an intervention study.Occupational and environmental medicine · 2021Article
- Late effects of cancer (treatment) and work ability: guidance by managers and professionals.BMC public health · 2021Article
- Using intervention mapping to develop 'Healthy HR' aimed at improving sustainable employability of low-educated employees.BMC public health · 2021Article
- The Use and Perceived Usefulness of an Online Toolbox Targeted at Employers (MiLES Intervention) for Enhancing Successful Return to Work of Cancer Survivors.Journal of occupational rehabilitation · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study was to develop an intervention targeting employers, with the aim of enhancing cancer survivors' return to work (RTW).
methodsIntervention Mapping was used to combine information gathered from several procedures involving numerous stakeholders, for example, employers, cancer survivors, oncological occupational physicians, and e-health experts.
resultsEmployers indicated that they require tailored support during four RTW phases: (1) disclosure, (2) treatment, (3) RTW planning, and (4) actual RTW. The most important employer actions were identified for each RTW phase, for instance, "communicate," "support practically," and "assess work ability," and thereafter formulated as the performance objectives of the intervention. The trans-theoretical model of change was used as a theoretical framework, and several methodologies were employed to induce the desired behavior change, for example modeling, tailoring, and active learning. Subsequently, a web-based intervention with interactive videos, conversation checklists, links to reliable external sources, and succinct, tailored tips and information was developed and adjusted on the basis of pre-tests with different stakeholders.
conclusionsThe intervention was developed with input from employers and all relevant stakeholders in the RTW of cancer survivors. The systematic, step-wise development resulted in a succinct and easily accessible intervention targeting the most important employer actions during all RTW phases. As such, the intervention corresponds with employers' needs and preferences in practice. IMPLICATIONS FOR CANCER SURVIVORS: By providing employers with support, the intervention could well be the missing link in efforts to optimize the work participation of cancer survivors.
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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.