Predictors of re-employment and quality of life in NHS staff one year after early retirement because of ill health; a national prospective study
- 1Occupational Health and Safety Unit, Royal Free Hampstead NHS Trust, London NW3 2QG, UK
- 2Department of Primary Care and Population Sciences, Royal Free and University College Medical School of the University of London, London NW3 2PF, UK
- Correspondence to: Dr S Williams Occupational Health and Safety Unit, Royal Free Hampstead NHS Trust, London NW3 2QG, UK;
- Accepted 11 February 2004
Aims: To measure changes in health related quality of life and employment status of NHS staff one year after early retirement because of ill health, and to identify predictors of re-employment.
Methods: A national cohort of 1317 NHS staff taking early retirement because of ill health in 1998 was recruited. Postal questionnaires were used to assess their quality of life (SF-36) and employment status 12 months after retirement.
Results: A total of 1143 (87%) ill health retirees responded; 152 (13%) retirees were working at one year, mostly part-time, and 22% of them were re-employed by the NHS. Independent predictors of re-employment were: living in England rather than Wales and occupation of doctor. There was an increased likelihood of re-employment with reducing age and increasing quality of life at baseline. Retirees’ quality of life improved from baseline to one year after ill health retirement, but at one year still remained lower than the general population. Improvements in physical and mental component scores were greater in those working at one year compared with those not working.
Conclusion: Reducing ill health retirement is likely to be of benefit to the individual, the NHS, and the economy. Results suggest that such a reduction may be possible and the identified predictors of re-employment may help in this process.
Funding: Part funded by the NHS Pensions Agency
Disclaimer for the use of Health Survey for England 1996 data: The copyright holder, the original data producer, the relevant funding agencies, and The Data Archive bear no responsibility for the further data analysis or interpretation in this paper.