Reporting and prediction of work-related sickness absence by general practitioners.

BACKGROUND Information on sickness absence (SA) duration in general practice is difficult to record. The duration of absence certified by general practitioners (GPs) can be viewed as a prognosis for return to work. The Health and Occupation Research network in General Practice (THOR-GP) collects SA information from GPs associated with cases of work-related ill-health. A sample of these cases is followed up 1 year retrospectively to gather information on the duration of absence. AIMS To examine the extent of the underestimation of SA in routinely reported data and to investigate how well GPs predict patients' return to work. METHODS THOR-GPs submit case and SA information using a web-based form. GPs who submitted selected cases were asked about the total number of days of SA and whether the patient had returned to work. RESULTS THOR-GPs' routine SA data collection underestimated absence duration by 61%. According to the retrospective data, a much larger proportion of periods of absence due to work-related mental ill-health developed into long-term SA (60%) than episodes attributed to musculoskeletal disorders (32%). In over half the reported cases, the return to work was longer than the GP initially predicted. CONCLUSIONS THOR-GP prospectively reported SA data underestimated the total length of absence; however, these data can examine the episodic rates of absence within different groups. More accurate longitudinal data can be collected retrospectively. GPs' ability to predict the length of time a patient will be away from work is important to enable treatment and rehabilitation planning in order to decrease the likelihood of a patient falling into long-term SA.

[1]  M. Gittins,et al.  Has the fit note reduced general practice sickness certification rates? , 2015, Occupational medicine.

[2]  J. Hillage,et al.  Factors associated with the length of fit note-certified sickness episodes in the UK , 2015, Occupational and Environmental Medicine.

[3]  C. Björkelund,et al.  GP and patient predictions of sick-listing duration: How well do they correspond? A prospective observational study , 2014, Scandinavian journal of primary health care.

[4]  J. Ayres,et al.  Audit of the recording of occupational asthma in primary care. , 2012, Occupational medicine.

[5]  S. Turner,et al.  Work-related sickness absence as reported by UK general practitioners. , 2012, Occupational medicine.

[6]  J. Groothoff,et al.  Prognostic Factors of Long Term Disability Due to Mental Disorders: A Systematic Review , 2010, Journal of Occupational Rehabilitation.

[7]  S. Turner,et al.  Work-related sickness absence negotiations: GPs' qualitative perspectives. , 2010, The British journal of general practice : the journal of the Royal College of General Practitioners.

[8]  K. Dunn,et al.  Sickness certification and the GP: what really happens in practice? , 2010, Family practice.

[9]  K. Dunn,et al.  Identification of UK sickness certification rates, standardised for age and sex. , 2009, The British journal of general practice : the journal of the Royal College of General Practitioners.

[10]  Carel T J Hulshof,et al.  Working for a healthier tomorrow , 2008, Occupational and Environmental Medicine.

[11]  S. Turner,et al.  Work-related ill health in general practice, as reported to a UK-wide surveillance scheme. , 2008, The British journal of general practice : the journal of the Royal College of General Practitioners.

[12]  K. Svärdsudd,et al.  How primary health care physicians make sick listing decisions: The impact of medical factors and functioning , 2008, BMC family practice.

[13]  G. Waddell,et al.  Is Work Good for Your Health and Well-being? , 2006 .

[14]  S. Brage,et al.  Increase in sickness absence with psychiatric diagnosis in Norway: a general population-based epidemiologic study of age, gender and regional distribution , 2006, BMC medicine.

[15]  I. Houtman,et al.  Medical Care of Employees Long-Term Sick Listed Due to Mental Health Problems: A Cohort Study to Describe and Compare the Care of the Occupational Physician and the General Practitioner , 2006, Journal of Occupational Rehabilitation.

[16]  M. Marmot,et al.  Influence of change in psychosocial work characteristics on sickness absence: the Whitehall II study , 2005, Journal of Epidemiology and Community Health.

[17]  Max Henderson,et al.  Long term sickness absence , 2005, BMJ : British Medical Journal.

[18]  S. Brage,et al.  Doctors' prediction of certified sickness absence. , 2004, Family practice.

[19]  T. Aw,et al.  Teaching of occupational medicine to undergraduates in UK schools of medicine , 2002, Occupational medicine.

[20]  P. Allebeck,et al.  How to measure sickness absence? Literature review and suggestion of five basic measures , 1998, Scandinavian journal of social medicine.

[21]  M Marmot,et al.  Sickness absence as a measure of health status and functioning: from the UK Whitehall II study. , 1995, Journal of epidemiology and community health.

[22]  L. Sandvik,et al.  Inter-doctor variation in sickness certification. , 1990, Scandinavian journal of primary health care.

[23]  D Bruusgaard,et al.  Incidence of sickness certification. Proposal for use as a health status indicator. , 1989, Scandinavian journal of primary health care.

[24]  R. Haigh,et al.  Recording occupation in general practice--a second cycle audit. , 2015, Occupational medicine.

[25]  M. Kochen,et al.  Sickness certification in general practice , 1995 .