Effectiveness and costs of a vocational advice service to improve work outcomes in patients with musculoskeletal pain in primary care: a cluster randomised trial (SWAP trial ISRCTN 52269669)

Abstract Musculoskeletal pain is a common cause of work absence, and early intervention is advocated to prevent the adverse health and economic consequences of longer-term absence. This cluster randomised controlled trial investigated the effect of introducing a vocational advice service into primary care to provide occupational support. Six general practices were randomised; patients were eligible if they were consulting their general practitioner with musculoskeletal pain and were employed and struggling at work or absent from work <6 months. Practices in the intervention arm could refer patients to a vocational advisor embedded within the practice providing a case-managed stepwise intervention addressing obstacles to working. The primary outcome was number of days off work, over 4 months. Participants in the intervention arm (n = 158) had fewer days work absence compared with the control arm (n = 180) (mean 9.3 [SD 21·7] vs 14·4 [SD 27·7]) days, incidence rate ratio 0·51 (95% confidence interval 0·26, 0·99), P = 0·048). The net societal benefit of the intervention compared with best care was £733: £748 gain (work absence) vs £15 loss (health care costs). The addition of a vocational advice service to best current primary care for patients consulting with musculoskeletal pain led to reduced absence and cost savings for society. If a similar early intervention to the one tested in this trial was implemented widely, it could potentially reduce days absent over 12 months by 16%, equating to an overall societal cost saving of approximately £500 million (US $6 billion) and requiring an investment of only £10 million.

[1]  N. Foster,et al.  Acceptability of a vocational advice service for patients consulting in primary care with musculoskeletal pain: A qualitative exploration of the experiences of general practitioners, vocational advisers and patients , 2019, Scandinavian journal of public health.

[2]  C. Kelaher,et al.  General practitioners’ attitudes towards patients’ health and work , 2017 .

[3]  D. A. van der Windt,et al.  Rationale, design and methods of the Study of Work and Pain (SWAP): a cluster randomised controlled trial testing the addition of a vocational advice service to best current primary care for patients with musculoskeletal pain (ISRCTN 52269669) , 2014, BMC Musculoskeletal Disorders.

[4]  P. Watson,et al.  Communicating with Employers: Experiences of Occupational Therapists Treating People with Musculoskeletal Conditions , 2014, Journal of Occupational Rehabilitation.

[5]  Dil Sen,et al.  Feasibility trial of GP and case-managed support for workplace sickness absence , 2013, Primary Health Care Research &amp; Development.

[6]  John Sibert,et al.  AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models , 2012, Optim. Methods Softw..

[7]  Richard Grieve,et al.  Developing Appropriate Methods for Cost-Effectiveness Analysis of Cluster Randomized Trials , 2012, Medical decision making : an international journal of the Society for Medical Decision Making.

[8]  B. Aust,et al.  The Danish national return-to-work program--aims, content, and design of the process and effect evaluation. , 2012, Scandinavian journal of work, environment & health.

[9]  C. Cooper,et al.  Effectiveness of community- and workplace-based interventions to manage musculoskeletal-related sickness absence and job loss: a systematic review , 2011, Occupational and Environmental Medicine.

[10]  G. Pransky,et al.  3rd place, PREMUS best paper competition: development of the return-to-work self-efficacy (RTWSE-19) questionnaire--psychometric properties and predictive validity. , 2011, Scandinavian journal of work, environment & health.

[11]  S. Morley,et al.  Measuring practitioner/therapist effects in randomised trials of low back pain and neck pain interventions in primary care settings , 2010, European journal of pain.

[12]  B. Koes,et al.  The effects of timing on the cost-effectiveness of interventions for workers on sick leave due to low back pain , 2010, Occupational and Environmental Medicine.

[13]  P. Watson,et al.  Tackling musculoskeletal problems: a guide for clinic and workplace - identifying obstacles using the psychosocial flags framework , 2009 .

[14]  Anna,et al.  Fit for Work? Musculoskeletal Disorders in the European Workforce , 2009 .

[15]  D. A. van der Windt,et al.  Early Patient Screening and Intervention to Address Individual-Level Occupational Factors (“Blue Flags”) in Back Disability , 2009, Journal of Occupational Rehabilitation.

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

[17]  G. Waddell,et al.  Vocational rehabilitation – what works, for whom, and when?(Report for the Vocational Rehabilitation Task Group) , 2008 .

[18]  P. Watson,et al.  General practitioner sickness absence certification for low back pain is not directly associated with beliefs about back pain , 2008, European journal of pain.

[19]  N. Foster,et al.  How does the self-reported clinical management of patients with low back pain relate to the attitudes and beliefs of health care practitioners? A survey of UK general practitioners and physiotherapists , 2008, PAIN®.

[20]  J. Hobson Is Work Good for Your Health and Well-Being? , 2007 .

[21]  K. Linde,et al.  Acupuncture for Chronic Low Back Pain in Routine Care: A Multicenter Observational Study , 2007, The Clinical journal of pain.

[22]  D. Ashby,et al.  Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method. , 2006, International journal of epidemiology.

[23]  P. Croft,et al.  Classification of Low Back Pain in Primary Care: Using “Bothersomeness” to Identify the Most Severe Cases , 2005, Spine.

[24]  Ron Z. Goetzel,et al.  Health, Absence, Disability, and Presenteeism Cost Estimates of Certain Physical and Mental Health Conditions Affecting U.S. Employers , 2004, Journal of occupational and environmental medicine.

[25]  P. Thornton,et al.  Job Retention and Rehabilitation Pilot: Employers' management of long-term sickness absence , 2004 .

[26]  Marc L. Berger,et al.  Stanford Presenteeism Scale: Health Status and Employee Productivity , 2002, Journal of occupational and environmental medicine.

[27]  S. Linton,et al.  Guide to assessing psychosocial yellow flags in acute low back pain: Risk factors for long-term disability and work loss. , 2002 .

[28]  J. Hilbe Zero-truncated Poisson and negative binomial regression , 1999 .