| Literature DB >> 31768861 |
Kete M Klaver1,2, Saskia F A Duijts3,4, Ellen G Engelhardt5,6, Chantal A V Geusgens7, Maureen J B Aarts8, Rudolf W H M Ponds9, Allard J van der Beek3, Sanne B Schagen5,10.
Abstract
PURPOSE: Cancer-related cognitive problems (cancer-related cognitive problems) in working cancer survivors are found to affect work outcomes. We aimed to generate in-depth information regarding cancer-related cognitive problems in working cancer survivors, strategies used to cope with cancer-related cognitive problems at work, and needs of cancer survivors and professionals regarding cancer-related cognitive problems at work.Entities:
Keywords: Cancer; Cognitive problems; Employability; Focus group; Work
Mesh:
Year: 2019 PMID: 31768861 PMCID: PMC7182611 DOI: 10.1007/s11764-019-00830-5
Source DB: PubMed Journal: J Cancer Surviv ISSN: 1932-2259 Impact factor: 4.442
Phases of transcript analysis
| Phase | Performed by |
|---|---|
| 1. Familiarize with the data | KK, EE |
| 2. Generate initial codes | KK, EE |
| 3. Search for themes based on initial codes | KK, EE |
| 4. Reviewing themes | KK, EE, SD |
| 5. Discuss results of analysis | KK, EE, SD |
| 6. Report results | KK, EE, SD, CG, MA, RP, SS, AB |
Characteristics of focus groups participants
| Frequency (%) | |
|---|---|
| Cancer survivors | |
| Sex | |
| Women | 17 (74) |
| Men | 6 (26) |
| Age at focus group, category (years) | |
| 30–40 | 4 (17) |
| 41–50 | 11 (48) |
| 51–60 | 2 (9) |
| 61–70 | 6 (26) |
| Education | |
| Low | 1 (4) |
| Medium | 3 (13) |
| High | 19 (83) |
| Race/ethnicity | |
| White | 23 (100) |
| Job sectora | |
| Business and financial | 5 (22) |
| Education | 4 (17) |
| Culture, recreation | 3 (13) |
| Transport | 4 (17) |
| Otherb | 15 (65) |
| Working hours a week | |
| 11–20 | 4 (17) |
| 21–30 | 6 (26) |
| 31–40 | 13 (57) |
| Cancer diagnosisa | |
| Breast | 6 (26) |
| Melanoma | 2 (9) |
| Kidney | 2 (9) |
| Cervix | 4 (17) |
| Colorectal | 2 (9) |
| Rectal | 2 (9) |
| Otherc | 8 (35) |
| Disease stagea | |
| Localized | 10 (44) |
| Loco-regionally advanced | 13 (57) |
| Distant metastases | 1 (4) |
| Treatment receiveda | |
| Chemotherapy | 15 (65) |
| Immunotherapy | 4 (17) |
| Endocrine therapy | 6 (26) |
| Radiation | 13 (57) |
| Surgery | 19 (83) |
| Time since diagnosis (months) | |
| 10–50 | 15 (65) |
| 51–100 | 5 (22) |
| > 100 | 3 (13) |
| Professionals | |
| Sex | |
| Woman | 13 (87) |
| Man | 2 (13) |
| Age, category (years) | |
| 25–30 | 1 (7) |
| 31–40 | 4 (27) |
| 41–50 | 4 (27) |
| 51–60 | 5(33) |
| 61–70 | 1(7) |
| Profession | |
| Human resource consultant | 3 (20) |
| Psychologist | 3 (20) |
| Occupational coach | 2 (13) |
| Occupational therapist | 3 (20) |
| Occupational physician | 1 (7) |
| Social worker | 1 (7) |
| Case manager in training | 1 (7) |
| Labor expert | 1 (7) |
| Months of experience in current profession | |
| 0–100 | 7 (47) |
| 101–200 | 4 (27) |
| 201–300 | 3 (20) |
| > 300 | 1 (7) |
aMultiple outcomes per person possible
bIndustry, energy and water, construction, government, trade, health, metals and mining
cOvarian, head/neck, prostate, esophagus, thyroid, leukemia, Hodgkin lymphoma, non-Hodgkin lymphoma