The psychometric properties of DCSQ are satisfactory. Being shorter and easier to use than the more comprehensive JCQ, DCSQ represents an important alternative, particularly if respondent burden and data-collection costs need to be minimized.

The objective of this pilot Norwegian intervention study was to explore whether use of information and communication technology (ICT) by informal carers of frail elderly people living at home would enable them to gain more knowledge about chronic illness, caring and coping, establish an informal support network and reduce stress and related mental health problems. Potential participants were close relatives of an elderly person with a diagnosis of a chronic illness dwelling in the same household who wished to continue caring for their relative at home, were 60 years of age or older, had been caring for less than 2 years, were a computer novice and had Norwegian as their first language. Nineteen elderly spousal carers participated in the study from two municipalities in eastern Norway. The project commenced in January 2004 and consisted of a multimethod evaluation model. Outcomes measured included carers' social contacts (measured by the Family and Friendship Contacts scale); burden of care (measured by the Relative Stress scale); and knowledge about chronic disease and caring, stress and mental health and use of ICT (examined via a composite carer questionnaire). These quantitative data were collected immediately prior to the study and at 12 months. Qualitative data were also collected via focus group interviews with participant carers at 7 months. At follow-up, quantitative measures did not reveal any reduction in carer stress or mental health problems. However, carers reported extensive use of the ICT service, more social contacts and increased support and less need for information about chronic illness and caring. Contact with and support from other carers with similar experiences was particularly valued by participants. The intervention also enhanced contacts with family and friends outside the carer network. Thus, it can be seen that ICT has the potential to contribute to health promotion among elderly spousal carers.

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 crosssectional 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.

Self-employment-the so-called flexible layer of the economy-has gained importance following the 2007-2008 global economic and financial crisis. In Europe, the self-employed now comprise on average 15% of workers [Eurostat, Labour market and Labour force survey (LFS) statistics, 2016]. Around one-third of self-employed people also provide jobs for others [European Commission, Fact Sheet. 2015 Employment and Social Developments in Europe Review: frequently asked questions, 2016]. Moreover, this group of workers adapts quickly to changing circumstances. In the UK, for instance, recent growth in self-employment is considered to have made an important contribution to labour market recovery [Hatfield, Self-employment in Europe. London, Institute of Public Policy Research, 2015]. Across the European Union self-employment is viewed as a key enabler of sustainable economic growth and, reflecting this, the Europe 2020 strategy encourages member states both to promote self-employment and to remove measures that discourage it [Library of the European Parliament, Self-employment and social security. Effects on innovation and economic growth, 2013].