BackgroundA considerable proportion of work absence is attributed to back pain, however prospective studies in working populations with back pain are variable in setting and design, and a quantitative summary of current evidence is lacking.ObjectiveTo investigate the extent to which differences in setting, country, sampling procedures and methods for data collection are responsible for variation in estimates of work absence and return to work.MethodsSystematic searches of seven bibliographic databases. Inclusion criteria were: adults in paid employment, with back pain, work absence or return to work during follow-up had been reported. Random effects meta-analysis and meta-regression analysis was carried out to provide summary estimates of work absence and return to work rates.Results45 studies were identified for inclusion in the review; 34 were included in the meta-analysis. The pooled estimate for the occurrence of work absence in workers with back pain was 15.5% (95% CI 9.8% to 23.6%, n=17 studies, I2 98.1%) in studies with follow-up periods of ≤6 months. The pooled estimate for the proportion of people with back pain returning to work was 68.2% (95% CI 54.8% to 79.1%, n=13, I2 99.2%), 85.6% (95% CI 78.2% to 90.7%, n=13, I2 98.7%) and 93.3% (95% CI 84.0% to 94.7%, n=10, I2 99%), at 1 month, 1–6 months and ≥6 months, respectively. Differences in setting, risk of participation bias and method of assessing work absence explained some of the heterogeneity.ConclusionsPooled estimates suggest high return to work rates, with wide variation in estimates of return to work only partly explained by a priori defined study-level variables. The estimated 32% not back at work at 1 month are at a crucial point for intervention to prevent long term work absence.
BackgroundMusculoskeletal complaints have a significant impact on work in terms of reduced productivity, sickness absence and long term incapacity for work. This study sought to explore GPs’ and physiotherapists’ perceptions of sickness certification in patients with musculoskeletal problems.MethodsEleven (11) GPs were sampled from an existing general practice survey, and six (6) physiotherapists were selected randomly using ‘snowball’ sampling techniques, through established contacts in local physiotherapy departments. Semi-structured qualitative interviews were conducted with respondents lasting up to 30 minutes. The interviews were audio recorded and transcribed verbatim, following which they were coded using N-Vivo qualitative software and analysed thematically using the constant comparative methodology, where themes were identified and contrasted between and within both groups of respondents.ResultsThree themes were identified from the analysis: 1) Approaches to evaluating patients’ work problems 2) Perceived ability to manage ‘work and pain’, and 3) Policies and penalties in the work-place. First, physiotherapists routinely asked patients about their job and work difficulties using a structured (protocol-driven) approach, whilst GPs rarely used such structured measures and were less likely to enquire about patients’ work situation. Second, return to work assessments revealed a tension between GPs’ gatekeeper and patient advocacy roles, often resolved in favour of patients’ concerns and needs. Some physiotherapists perceived that GPs’ decisions could be influenced by patients’ demand for a sick certificate and their close relationship with patients made them vulnerable to manipulation. Third, the workplace was considered to be a specific source of strain for patients acting as a barrier to work resumption, and over which GPs and physiotherapists could exercise only limited control.ConclusionWe conclude that healthcare professionals need to take account of patients’ work difficulties, their own perceived ability to offer effective guidance, and consider the ‘receptivity’ of employment contexts to patients’ work problems, in order to ensure a smooth transition back to work.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.