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1.
J Occup Rehabil ; 28(3): 559-567, 2018 09.
Article in English | MEDLINE | ID: mdl-29236203

ABSTRACT

Purpose To assess self-reported work impacts and associations between psychosocial risk factors and work impairment amongst workers seeking care for musculoskeletal pain while continuing to work. Methods Patients were recruited from Musculoskeletal Assessment Clinics at 5 hospitals across Ireland. Participants completed questionnaires including assessments of work impairment (Work Productivity and Activity Impairment Questionnaire), work ability (single item from the Work Ability Index) and work performance (Work Role Functioning Questionnaire; WRFQ). Logistic and hierarchical regressions were conducted to analyse the relation between psychosocial variables and work outcomes. Results 155 participants (53.5% female; mean age = 46.50 years) who were working at the time of assessment completed the questionnaires. Absenteeism was low, yet 62.6% were classified as functioning poorly according to the WRFQ; 52.3% reported having poor work ability. Logistic regression analyses indicated that higher work role functioning was associated with higher pain self-efficacy (OR 1.51); better work ability was associated with older age (OR 1.063) and lower functional restriction (OR 0.93); greater absenteeism was associated with lower pain self-efficacy (OR 0.65) and poorer work expectancy (OR 1.18). Multiple regression analysis indicated that greater presenteeism was associated with higher pain intensity (ß = 0.259) and lower pain self-efficacy (ß = - 0.385). Conclusions While individuals continue to work with musculoskeletal pain, their work performance can be adversely affected. Interventions that target mutable factors, such as pain self-efficacy, may help reduce the likelihood of work impairment.


Subject(s)
Absenteeism , Musculoskeletal Pain/rehabilitation , Presenteeism , Work Capacity Evaluation , Adult , Age Factors , Aged , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Musculoskeletal Pain/psychology , Pain Measurement , Self Efficacy , Surveys and Questionnaires , Work Performance , Young Adult
2.
Clin Rehabil ; 31(11): 1466-1481, 2017 Nov.
Article in English | MEDLINE | ID: mdl-28343440

ABSTRACT

OBJECTIVES: To determine the effectiveness of early multidisciplinary interventions in promoting work participation and reducing work absence in adults with regional musculoskeletal pain. DATA SOURCES: Seven databases (CENTRAL, CINAHL, EMBASE, MEDLINE, Scopus, OT Seeker, PEDro; 1990 to December 2016) were searched for eligible studies. REVIEW METHODS: Trials were included if they reported on work-based outcomes for participants experiencing difficulties at work or ≤ three months' sick leave. Interventions had to include two or more elements of the biopsychosocial model delivered as a coordinated programme. Quality was assessed using the GRADE criteria. Results were analysed by hazard ratios for return to work data; continuous outcomes were analysed as standardised mean difference with 95% confidence intervals. RESULTS: A total of 20 randomized controlled trials, with 16,319 participants were included; the interventions were grouped according to their main components for meta-analyses. At 12-months follow-up, moderate quality evidence suggests that programmes involving a stepped care approach (four studies) were more effective than the comparisons in promoting return to work (hazard ratio (HR) 1.29 (95% confidence interval (CI) 1.03 to 1.61), p = 0.03), whereas case management (two studies) was not (HR 0.92 (95% CI 0.69 to 1.24), p = 0.59). Analyses suggested limited effectiveness in reducing sickness absences, in pain reduction or functional improvement across the intervention categories. CONCLUSION: There is uncertainty as to the effectiveness of early multicomponent interventions owing to the clinical heterogeneity and varying health and social insurance systems across the trials.


Subject(s)
Musculoskeletal Pain/rehabilitation , Return to Work , Humans , Physical Therapy Modalities , Program Evaluation , Sick Leave
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