Dataset Information

A Return-to-Work Prognostic Model for Orthopaedic Trauma Patients (WORRK) Updated for Use at 3, 12 and 24 Months.

ABSTRACT: Purpose Updating the Wallis Occupational Rehabilitation Risk (WORRK) model formula, predicting non-return to work (nRTW) at different time points (3 and 12 months) than in the validation study (2 years). Methods Secondary analysis of two samples was carried out (following orthopaedic trauma), including work status, the first at 3 months (428 patients) and the second at 12 months (431 patients) after discharge from rehabilitation. We used calibration (agreement between predicted probabilities and observed frequencies) and discrimination (area under the receiver operating characteristics curve) to assess performance of the model after fitting it in the new sample, then calculated the probabilities of nRTW based on the coefficients from the 2-year prediction. Finally, the intercepts were updated for both 3- and 12-month prediction models (re-calibration was necessary for the adjustment of these probabilities) and performance re-evaluated. Results Patient characteristics were similar in all samples (mean age 43 in both groups; 86% male at 3 months, 84% male at 12 months). The proportion of nRTW at 3 months was 63.8% and 53.4% at 12 months (50.36% at 2 years). Performance of the original WORRK for both 3- and 12-month prediction showed an AUC of 0.73, while statistically significant miscalibration was found for both time points (p?

SUBMITTER: Plomb-Holmes C

PROVIDER: S-EPMC5709449 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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A Return-to-Work Prognostic Model for Orthopaedic Trauma Patients (WORRK) Updated for Use at 3, 12 and 24 Months.

Plomb-Holmes Chantal C Lüthi François F Vuistiner Philippe P Leger Bertrand B Hilfiker Roger R

Journal of occupational rehabilitation 20171201 4

Purpose Updating the Wallis Occupational Rehabilitation Risk (WORRK) model formula, predicting non-return to work (nRTW) at different time points (3 and 12 months) than in the validation study (2 years). Methods Secondary analysis of two samples was carried out (following orthopaedic trauma), including work status, the first at 3 months (428 patients) and the second at 12 months (431 patients) after discharge from rehabilitation. We used calibration (agreement between predicted probabilities and ...[more]

PMID: 28012065

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Project description:BACKGROUND: Workers with persistent disabilities after orthopaedic trauma may need occupational rehabilitation. Despite various risk profiles for non-return-to-work (non-RTW), there is no available predictive model. Moreover, injured workers may have various origins (immigrant workers), which may either affect their return to work or their eligibility for research purposes. The aim of this study was to develop and validate a predictive model that estimates the likelihood of non-RTW after occupational rehabilitation using predictors which do not rely on the worker's background. METHODS: Prospective cohort study (3177 participants, native (51%) and immigrant workers (49%)) with two samples: a) Development sample with patients from 2004 to 2007 with Full and Reduced Models, b) External validation of the Reduced Model with patients from 2008 to March 2010. We collected patients' data and biopsychosocial complexity with an observer rated interview (INTERMED). Non-RTW was assessed two years after discharge from the rehabilitation. Discrimination was assessed by the area under the receiver operating curve (AUC) and calibration was evaluated with a calibration plot. The model was reduced with random forests. RESULTS: At 2 years, the non-RTW status was known for 2462 patients (77.5% of the total sample). The prevalence of non-RTW was 50%. The full model (36 items) and the reduced model (19 items) had acceptable discrimination performance (AUC 0.75, 95% CI 0.72 to 0.78 and 0.74, 95% CI 0.71 to 0.76, respectively) and good calibration. For the validation model, the discrimination performance was acceptable (AUC 0.73; 95% CI 0.70 to 0.77) and calibration was also adequate. CONCLUSIONS: Non-RTW may be predicted with a simple model constructed with variables independent of the patient's education and language fluency. This model is useful for all kinds of trauma in order to adjust for case mix and it is applicable to vulnerable populations like immigrant workers.

Project description:AimThe aim of this study was to determine prognostic factors for medical and productivity costs, and return to work (RTW) during the first two years after trauma in a clinical trauma population.MethodsThis prospective multicentre observational study followed all adult trauma patients (≥18 years) admitted to a hospital in Noord-Brabant, the Netherlands from August 2015 through November 2016. Health care consumption, productivity loss and return to work were measured in questionnaires at 1 week, 1, 3, 6, 12 and 24 months after injury. Data was linked with hospital registries. Prognostic factors for medical costs and productivity costs were analysed with log-linked gamma generalized linear models. Prognostic factors for RTW were assessed with Cox proportional hazards model. The predictive ability of the models was assessed with McFadden R2 (explained variance) and c-statistics (discrimination).ResultsA total of 3785 trauma patients (39% of total study population) responded to at least one follow-up questionnaire. Mean medical costs per patient (€9,710) and mean productivity costs per patient (€9,000) varied widely. Prognostic factors for high medical costs were higher age, female gender, spine injury, lower extremity injury, severe head injury, high injury severity, comorbidities, and pre-injury health status. Productivity costs were highest in males, and in patients with spinal cord injury, high injury severity, longer length of stay at the hospital and patients admitted to the ICU. Prognostic factors for RTW were high educational level, male gender, low injury severity, shorter length of stay at the hospital and absence of comorbidity.ConclusionsProductivity costs and RTW should be considered when assessing the economic impact of injury in addition to medical costs. Prognostic factors may assist in identifying high cost groups with potentially modifiable factors for targeted preventive interventions, hence reducing costs and increasing RTW rates.

Project description:IntroductionExisting evidence of returning-to-work (RTW) after cancer comes predominately from Western settings, with none prospectively examined since the initial diagnostic phase. This study prospectively documents RTW-rate, time-to-RTW, work productivity loss, and activity impairment, within the first-year post-surgery among Chinese women with breast cancer (BCW) and identify potential causal co-variants.MethodsThis observational longitudinal study followed 371 Chinese BCW who were employed/self-employed at the time of diagnosis at 4-week post-surgery (baseline). RTW-status and time-to-RTW were assessed at baseline (T1), 4-month (T2), 6-month (T3), and 12-month (T4) post-baseline. WPAI work productivity loss and activity impairment were assessed at T4. Baseline covariates included demographics, medical-related factors, work satisfaction, perceived work demand, work condition, RTW self-efficacy, B-IPQ illness perception, COST financial well-being, EORTC QLQ-C30 and QLQ-BR23 physical and psychosocial functioning, and HADS psychological distress.ResultsA 68.2% RTW-rate (at 12-month post-surgery), prolonged delay in RTW (median = 183 days), and significant proportions of T4 work productivity loss (20%), and activity impairment (26%), were seen. BCW who were blue-collar workers with lower household income, poorer financial well-being, lower RTW self-efficacy, poorer job satisfaction, poorer illness perception, greater physical symptom distress, impaired physical functioning, and unfavorable work conditions were more likely to experience undesired work-related outcomes.DiscussionUsing a multifactorial approach, effective RTW interventions should focus on not only symptom management, but also to address psychosocial and work-environmental concerns. An organizational or policy level intervention involving a multidisciplinary team comprising nurses, psychologists, occupational health professionals, and relevant stakeholders in the workplace might be helpful in developing a tailored organizational policy promoting work-related outcomes in BCW.

Project description:Background and study aims An increasing number of cancer survivors are of working age. Cancer is also a known cause of people withdrawing early from the labour market and also a prolonged absence from work due to sickness. Cancer survivors in lower socioeconomic groups (for example, people who do lower skilled jobs) and/or suffer from another disease (co-morbidity) are at particular risk of recurrent sickness absence, unemployment or permanent withdrawal from the labour market. Not being able to work to the same ability and unfavourable work conditions can also mean that cancer survivors of lower socioeconomic status and/or co-morbidity find returning to work more difficult. Support from supervisors and adjustments that make it possible for the cancer survivor to do their job more easily (work accommodations) may be important in preventing sickness relapses due to the job environment affecting their state of health. It is not known how important occupational rehabilitation during cancer treatment might be in helping cancer survivors return to work and, in particular, how it may help those patients of lower socioeconomic status and/or co-morbidity. This study aims to increase the likelihood of cancer survivors returning to work through a programme (intervention) of individual support offered by a job consultant connected to the oncology ward at Aarhus University Hospital. Who can participate? Cancer patients between 18 and 60 years of age who are living in Randers or Silkeborg municipalities in Denmark diagnosed with breast, gastro-intestinal, head and neck, testis, ovarian or cervix cancer and being treated with chemotherapy or radiotherapy. They must be permanently or temporary employed (with at least 6 months left of their contract) and possibly on sick leave. What does the study involve? Patients that meet the criteria for participating in the trial and living in either Randers or Silkeborg municipalities in Denmark are placed in the intervention group. Patients that meet the criteria but live outside of these municipalities are placed in the control group. Those in the intervention group take part in an early, tailored return to work management programme that supports cancer patients as they are undergoing treatment. Those in the control group are offered the standard sick leave management programme. The return to work rates among cancer survivors in the intervention group is then compared to those in the control group. The effect of the intervention on cancer survivors of lower socioeconomic status and/or co-morbidity is also assessed.

Project description:BackgroundPrior studies have assessed provider knowledge and factors associated with opioid misuse; similar studies evaluating patient knowledge are lacking. The purpose of this study was to assess the degree of understanding regarding opioid use in orthopaedic trauma patients. We also sought to determine the demographic factors and clinical and personal experiences associated with level of understanding.MethodsOne hundred and sixty-six adult orthopaedic trauma surgery patients across two clinical sites of an academic institution participated in an internet-based survey (2352 invited, 7.1% response rate). Demographic, clinical, and personal experience variables, as well as perceptions surrounding opioid use were collected. Relationships between patient characteristics and opioid perceptions were identified using univariate and multivariable logistic regressions. Alpha = 0.05.ResultsExcellent recognition (> 85% correct) of common opioids, side effects, withdrawal symptoms, and disposal methods was demonstrated by 29%, 10%, 30%, and 2.4% of patients; poor recognition (< 55%) by 11%, 56%, 33%, and 52% of patients, respectively. Compared with white patients, non-white patients had 7.8 times greater odds (95% confidence interval [CI] 1.9-31) of perceiving addiction discrepancy (p = 0.004). Employed patients with higher education levels were less likely to have excellent understanding of side effects (adjusted odds ratio [aOR] 0.06, 95% CI 0.006-0.56; p = 0.01) and to understand that dependence can occur within 2 weeks (aOR 0.28, 95% CI 0.09-0.86; p = 0.03) than unemployed patients. Patients in the second least disadvantaged ADI quartile were more knowledgeable about side effects (aOR 8.8, 95% CI 1.7-46) and withdrawal symptoms (aOR 2.7, 95% CI 1.0-7.2; p = 0.046) than those in the least disadvantaged quartile. Patients who knew someone who was dependent or overdosed on opioids were less likely to perceive addiction discrepancy (aOR 0.24, 95% CI 0.07-0.76; p = 0.02) as well as more likely to have excellent knowledge of withdrawal symptoms (aOR 2.6, 95% CI 1.1-6.5, p = 0.03) and to understand that dependence can develop within 2 weeks (aOR 3.8, 95% CI 1.5-9.8, p = 0.005).ConclusionsLevel of understanding regarding opioid use is low among orthopaedic trauma surgery patients. Clinical and personal experiences with opioids, in addition to demographics, should be emphasized in the clinical history.

Project description:BackgroundPatient-Reported Outcome Measures (PROMs) are widely used for measurement of functional outcomes after orthopaedic trauma. However, PROMs rely on patient collaboration and suffer from various types of bias. Wearable Activity Monitors (WAMs) are increasingly used to objectify functional assessment. The objectives of this systematic review were to identify and characterise the WAMs technology and metrics currently used for orthopaedic trauma research.MethodsPubMed and Embase biomedical literature search engines were queried. Eligibility criteria included: Human clinical studies published in the English language between 2010 and 2019 involving fracture management and WAMs. Variables collected from each article included: Technology used, vendor/product, WAM body location, metrics measured, measurement time period, year of publication, study geographic location, phase of treatment studied, fractures studied, number of patients studied, sex and age of the study subjects, and study level of evidence. Six investigators reviewed the resulting papers. Descriptive statistics of variables of interest were used to analyse the data.ResultsOne hundred and thirty-six papers were available for analysis, showing an increasing trend of publications per year. Accelerometry followed by plantar pressure insoles were the most commonly employed technologies. The most common location for WAM placement was insoles, followed by the waist. The most commonly studied fracture type was hip fractures followed by fragility fractures in general, ankle, "lower extremity", and tibial fractures. The rehabilitation phase following surgery was the most commonly studied period. Sleep duration, activity time or step counts were the most commonly reported WAM metrics. A preferred, clinically validated WAM metric was not identified.ConclusionsWAMs have an increasing presence in the orthopaedic trauma literature. The optimal implementation of this technology and its use to understand patients' pre-injury and post-injury functions is currently insufficiently explored and represents an area that will benefit from future study.Systematic review registration numberPROSPERO ID:210344.Supplementary informationThe online version contains supplementary material available at 10.1007/s43465-022-00629-0.

Dataset Information

A Return-to-Work Prognostic Model for Orthopaedic Trauma Patients (WORRK) Updated for Use at 3, 12 and 24 Months.

Publications

A Return-to-Work Prognostic Model for Orthopaedic Trauma Patients (WORRK) Updated for Use at 3, 12 and 24 Months.

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