28 research outputs found
Long-term work retention after treatment for cancer:a systematic review and meta-analysis
Purpose: Almost half of people diagnosed with cancer are working age. Survivors have increased risk of unemployment, but little is known about long-term work retention. This systematic review and meta-analysis assessed work retention and associated factors in long-term cancer survivors. Methods: We searched Medline/Pubmed, Embase, PsychINFO, and CINAHL for studies published 01/01/2000–08/01/2019 reporting work retention in adult cancer survivors ≥ 2 years post-diagnosis. Survivors had to be in paid work at diagnosis. Pooled prevalence of long-term work retention was estimated. Factors associated with work retention from multivariate analysis were synthesized. Results: Twenty-nine articles, reporting 21 studies/datasets including 14,207 cancer survivors, were eligible. Work retention was assessed 2–14 years post-diagnosis. Fourteen studies were cross-sectional, five were prospective, and two contained both cross-sectional and prospective elements. No studies were scored as high quality. The pooled estimate of prevalence of long-term work retention in cancer survivors working at diagnosis was 0.73 (95%CI 0.69–0.77). The proportion working at 2–2.9 years was 0.72; at 3–3.9 years 0.80; at 4–4.9 years 0.75; at 5–5.9 years 0.74; and 6+ years 0.65. Pooled estimates did not differ by cancer site, geographical area, or study design. Seven studies assessed prognostic factors for work retention: older age, receiving chemotherapy, negative health outcomes, and lack of work adjustments were associated with not working. Conclusion: Almost three-quarters of long-term cancer survivors working at diagnosis retain work. Implications for Cancer Survivors: These findings are pertinent for guidelines on cancer survivorship care. Professionals could focus support on survivors most likely to have poor long-term work outcomes
Guidelines for screening and management of late and long-term consequences of myeloma and its treatment
A growing population of long-term survivors of myeloma is now accumulating
the ‘late effects’ not only of myeloma itself, but also of several lines of
treatment given throughout the course of the disease. It is thus important to
recognise the cumulative burden of the disease and treatment-related toxicity
in both the stable and active phases of myeloma, some of which is unlikely to
be detected by routine monitoring. We summarise here the evidence for the
key late effects in long-term survivors of myeloma, including physical and
psychosocial consequences (in Parts 1 and 2 respectively), and recommend
the use of late-effects screening protocols in detection and intervention. The
early recognition of late effects and effective management strategies should
lead to an improvement in the management of myeloma patients, although
evidence in this area is currently limited and further research is warranted
Are fatigue, depression and anxiety associated with labour market participation among patients diagnosed with haematological malignancies? A prospective study
ObjectivesThe objectives of this study are to examine levels of fatigue, depression and anxiety following diagnosis of a haematological malignancy, to determine the incidence of return to work (RTW) and long-term sickness absence (LTSA) during 1-year follow-up and to examine whether fatigue, depression and anxiety are associated with RTW and LTSA in this group of cancer patients. MethodsQuestionnaire-based data on fatigue, depression and anxiety were obtained at baseline. In all, 196 patients returned the questionnaire. Of these, 106 patients were on sick leave and 90 patients were working. They were all followed prospectively for 1 year using register-based data on labour market participation. ResultsAt baseline, high levels of fatigue, depression and anxiety were more prevalent among sickness absent patients than in those working. Half of the sickness absent patients returned to work during follow-up, and only 10 (11%) working patients experienced LTSA. Sickness absent patients with highest scores of physical fatigue were less likely to RTW than those with lowest scores (RRadj 0.43, 95% CI 0.23-0.78). Similar, we found an association between symptoms of anxiety and RTW (p=0.048). This association was though non-significant in multivariable analyses (p=0.068). No significant association was found between depression and RTW. ConclusionHalf of sickness absent patients returned to work, and only a few of working patients experienced LTSA during follow-up. Patients reporting high levels of physical fatigue were less likely to RTW. There was a similar tendency for anxiety, whereas we found no association between depression and RTW. Larger prospective studies are needed. Copyright (c) 2014 John Wiley & Sons, Ltd