Factors Associated with Return to Work Following Work-Related Injuries to the Lower Extremities
1Foot and Ankle Reconstruction/Arthroscopy &
Athletic Injuries, Department of Surgery, St. Paul's Hospital, UBC
2Altum Health, Toronto
Western Hospital, University Health Network 399 Bathurst Street Toronto,
Ontario
3Department of
diagnostic imaging, Cumming School of Medicine, University of Calgary, 2500
University Dr NW, Calgary, Alberta
4Rosalind Franklin
University of Medicine and Sciences, Chicago Medical School, North Chicago
*Corresponding author: Andrea
Veljkovic, Department of Orthopedics, University of British Columbia, St.
Paul’s Hospital, Research Director UBC Orthopaedic Residency Program,Research
Director Canadian Foot and Ankle Society,Partner - Footbridge Clinic for
Integrated Orthopaedic Care, Canada.
Tel: +16047783797771; Email: docveljkovic@yahoo.com
Received Date: 9 November, 2018; Accepted Date: 17 November, 2018; Published Date: 27 November, 2018
Citation:Veljkovic A, Gandhi R, Salat P, Abbas KZ, Syed K, Lau J (2018) Factors Associated with Return to Work Following Work-Related Injuries to the Lower Extremities. Adv Res Foot Ankle: ARFA-108. DOI: 10.29011/ ARFA-108.100008.
1.1.
Purpose:
To identify factors associated with
return-to-work (RTW) following work-related foot and ankle injuries.
1.2.
Methods: 86 patients with work-related foot and ankle injuries were asked to
complete questionnaires during a comprehensive assessment at entry to a
treatment program, at discharge, and at three months’ post-treatment (P-T)
follow-up. The primary study outcome was RTW status at 3 months P-T follow-up.
The relationship between RTW status at 3 months PT follow-up was modelled
against the independent variables of age, time since injury, as well as Lower
Extremity Functional Scale score (LEFS) at initial presentation, using logistic
regression. The secondary study outcome was RTW status and predictors of RTW at
discharge.
1.3. Results:
The overall RTW rate at 3 months P-T follow-up in
the patients with work-related foot and ankle injuries was 33.7%. There were no
significant demographic differences between the patients who were able to RTW
at 3 months P-T follow-up and those that did not. In a logistic regression
model, a greater time since injury was a significant predictor of being less
likely to RTW at 3 months P-T follow-up (OR= 0.527, 95%CI [0.295, 0.940]).
Similar results were obtained for patients able to RTW at discharge.
1.4. Conclusion: Time since injury is the strongest predictor of RTW at 3 months P-T in patients suffering from work-related foot and ankle injuries. Placing emphasis on early referrals to treatment may improve the RTW rates for these injured workers.
2. Keywords: Early Intervention; Lower Extremities;
Return-To-Work; Work-Related Injury
List of Abbreviations:
RTW : Return-To-Work
P-T : Post-Treatment
LEFS : Lower
Extremity Functional Scale Score
WSIB : Workplace
Safety and Insurance Board
CA : Comprehensive
Assessment
PCS : Pain
Catastrophizing Scale
PHQ-9 : Patient Health Questionnaire
1. Introduction
It is estimated that in 2012 there were 245,365 accepted Time-Loss injuries in Canada [1]. Whilst work-related injuries have been decreasing, these occurrences have significant and wide-ranging impacts for the worker, the employer, the worker’s family, and compensation systems [2, 3]. Prolonged absence from work is detrimental to individuals in terms of house-hold finances and emotional well-being, as well as to society as a whole; it has been stated that the health of the working-age population is critical to economic growth and social justice [4]. Given the far-reaching consequences, and the prevalence of injuries disrupting work, significant effort has been put into identifying factors affecting the Return-To-Work (RTW) rate for different conditions, and in developing systems with a view to improving outcomes. There is extensive literature reviewing factors associated with RTW outcomes from general injuries; however, factors associated with RTW following foot and ankle injuries have not been well-studied. It has been reported that age is a significant factor in predicting RTW following foot and ankle injuries. In a prospective cohort study of patients with lower extremity fractures, patients 18-24 years of age were three times more likely to have a successful outcome than those older than 45 [5]. In another report, motivation appeared to have the greatest influence on RTW than other known predictors in a group of patients who had been disabled as a result of upper or lower limb injuries [6].
The few studies investigating RTW following lower limb injuries are limited by power and few variables. It is likely that social, economic and employment-related factors are important predictors of RTW in patients with lower limb injuries as the correlation between physical impairment and RTW is weak [5, 6]. The primary objective of this study was to identify the factors associated with a successful RTW in patients with work-related foot and ankle injuries attending an injured worker’s clinic. The primary study outcome was RTW status at 3 months PT follow-up. The secondary study outcome was RTW status at discharge.
2. Methods
2.1. Study sample
The current study was a retrospective review of data collected from 86 patients with work-related foot and ankle injuries seeking treatment at a single, injured worker’s clinic in Toronto, Ontario, between October 2010 and July 2013. Inclusion criteria were 1) 18-75 years of age; 2) work-related foot and ankle injuries; 3) not currently working; 4) discharged from the Foot and Ankle program at University Health Network Altum Health; and 5) intake assessment, discharge and follow-up questionnaires completed between January 1, 2010 and August 20, 2013. Patients were excluded if they suffered from any other debilitating condition. All patients included in the study had been receiving compensation benefits from the Workplace Safety and Insurance Board (WSIB) for their injury. A research coordinator and an independent assessor not involved in the medial care of the patients approached the patients to participate in the study and collected the data. The study protocol was approved by the local hospital Research Ethics Board. All patients provided written informed consent to participate in the study.
2.2. Data Collection
Each patient was enrolled in the study on initial presentation at the injured worker’s clinic. Patients were asked to complete a questionnaire that constituted a Comprehensive Assessment (CA). Information gathered at the CA included the patients date of birth, age, gender, marital status, level of education, country of birth, date of immigration to Canada, languages spoken, their ability to speak English, the date of their accident, their working status at the time of injury, whether or not they were working at the time of the assessment and the status of that work, and their occupation at time of CA. Occupations were classified using the Canadian National Occupational Classification database 2011 [7]. In addition, 52 health factors regarding their physical and mental wellbeing were recorded, including the Lower Extremity Functional Scale (LEFS score), Pain Catastrophizing Scale (PCS), Patient Health Questionnaire (PHQ-9), smoking history, and pre-existing medical conditions.
The foot and ankle treatment program consisted of an acute/subacute program delivered by an interdisciplinary team of kinesiologists, and physical and occupational therapists, focusing on strengthening, function improvement, and worker education. Surgery was offered where deemed necessary.The treatment programs lasted typically about 6 weeks in duration. At the time of discharge from the treatment program, a discharge packet was provided to each patient to mail back to the treatment center. The package provided the patient with complete physical and psychosocial questionnaires to complete at discharge, including LEFS, PHQ-9, PCS, and RTW status at the time of discharge. A final, follow-up package was mailed to each patient three months after their discharge. This package contained a questionnaire for the following information: follow-up date, satisfaction at follow-up, general health, PCS score, and RTW status at follow-up. To increase the response rate, each patient received a telephone reminder when the follow-up package was mailed three months after discharge.
2.3. Measures
2.4. Statistical Analysis
Statistical analyses were performed using SAS (9.3) and Microsoft Excel with the XLSTAT package. Bivariate analysis compared demographic data and functional scores between patients that returned to work at 3 months P-T follow-up and discharge and those that did not. After completing tests of normality, continuous data were compared with the Student’s t-test and categorical data with the Chi Squared test. Logistic regression was used to assess the relationships between age, intake LEFS, time since injury, and RTW status at 3 months PT follow-up and discharge. Age, disability, and time since injury were chosen as variables that are most likely to affect ability to return to work based on a priori knowledge. The time since injury was log transformed prior to analysis due to the skewness of the data. Grouped analyses were performed using unpaired t-tests to compare mean values and the Mann-Whitney test to compare medians. Proportional comparisons were conducted using either the Fisher’s exact test or the Chi-square analysis as indicated in the results.
3. Results
In our cohort of 86 patients, 70.9% of the enrolled patients were male (mean age: 46.3 ± 12.4 years, range: 21-68) and 29.1% were female (mean age: 47.9 ± 10.3 years; range: 26-65). The age difference between males and females was not significant (p = 0.5939). Overall, 29 of the 86 patients were working at 3 months P-T follow-up (RTW rate at 3 months P-T follow-up, 33.7%). There were no significant differences in demographics between the patients that were able to RTW at 3 months P-T follow-up and those that did not (Table 1).
To address the possibility of selection bias in the follow-up process, the relationship between clinical parameters and RTW status was assessed at discharge. RTW status at discharge was available for 78.2% (68/86) of enrolled patients. Of these, 17 patients had successfully returned to work at discharge and 51 patients had not (RTW rate at discharge, 25%). Patients unable to RTW at discharge had a significantly longer time since injury than patients able to RTW (p= 0.004; Table 4).
6. Discussion
In this study, we examined the factors that predict RTW status following work-related foot and ankle injury. Only the time since injury was a significant predictor of RTW status at 3 months PT follow-up and at discharge. These data are in accordance with observations from previous studies. Time since injury was shown to predict RTW status in patients with chronic low back pain [11], and earlier treatment referrals improved the rate of RTW in injured workers suffering from chronic pain after total joint (knee/hip) arthroplasty [12]. Taken together, these observations suggest that early treatment programs and specific interventions may be key for enabling a rapid RTW following work-related foot and ankle injuries. A recent systematic review of the literature showed that, regardless of the specific injury/target population, the most effective strategies to improve RTW rates are early intervention and multidisciplinary interventions in the process of RTW [13]. Multidisciplinary approaches that integrate work accommodation offers, contact between healthcare providers and employers, and the presence of a RTW coordinator have been shown to significantly accelerate RTW outcomes in patients with low back pain that had a long interval between injury and RTW [11]. Variables such as adequate support in terms of work place accommodations, advice from a healthcare provider about avoiding re-injury, and receiving an ergonomic workplace audit were significant contributors to an early RTW in workers who took part-time sick leave due to musculoskeletal disorders [14,15].
It is difficult to predict RTW following injury given the number of personal and injury related variables that influence the decision of an individual to RTW. A review of published studies identified over 100 determinants of RTW outcomes spanning factors at the individual level, such as age, gender and education, and at the injury level, such as severity (pain and loss of function) and rehabilitation interventions [16]. The physical demands of a job are known to affect the RTW rate after total joint (knee/hip) arthroplasty, few workers are able to return to physically demanding jobs but do RTW in less strenuous roles [12]. After traumatic limb injury, a rapid RTW is associated with a high degree of confidence that RTW is possible [17]. Similarly, in low back pain patients, low expectations of RTW are significantly associated with an unsuccessful RTW outcome one year after injury [18].
The current study is among the first to identify predictors of RTW in patients with work-related foot and ankle injury. However, this study had several limitations. First, defining RTW as a yes/no answer may not adequately account for the gradations in RTW that patients experience (part-time, reduced duties, horizontal job movement, etc.) and may overestimate the return to full employment comparable to pre-injury [19]. Second, previous studies have suggested that sustainable RTW can take up to 1.8 times longer than the first attempt to RTW [20]. The relatively short three-month follow-up in this study may not have allowed adequate time to gauge a sustained RTW profile after foot/ankle injuries. In conclusion, we identified a significant relationship between successful RTW at 3 months P-T follow-up and time since foot/ankle injury using logistic regression modeling. These findings suggest that the RTW rate of patients with work-related foot/ankle injuries may be improved by reducing the time between a work-related injury and entry into a treatment program. Earlier referrals to treatment programs after foot/ankle injuries should be encouraged.
7. Declarations
7.1. Ethics approval and consent to participate and consent for publication: Granted by the Research Ethics Board (REB) at the University Health Network (UHN) and all participants were consented into the study as per study protocol.
7.2. Availability of data and material: data and materials for this study are not available for the general public as they are still being used in the analysis for other studies.
7.3. Competing interests: None.
7.4. Funding: None.
8. Author Contributions
1.
A. Veljkovic -
Co-lead the study and helped recruit patients, write and edited the manuscript
2.
R. Gandhi -
helped recruit patients, allocate departmental resources for the study and
edited the manuscript
3.
P. Salat - helped
write and edit the manuscript
4.
KZ. Abbas -
helped write and edit the manuscript
5.
K. Syed - helped
recruit patients and edited the manuscript
6. J. Lau - Co-lead the study, helped recruit patients and edited the manuscript
9. Acknowledgements
We would like to thank Jane Kondejewski for her assistance with this study.
Characteristic (n) |
RTW |
Did not RTW |
P value |
|
(n= 29)a |
(n = 57) |
|||
Age |
<30 |
4 |
5 |
0.728(CS) |
30- 50 |
13 |
26 |
||
>50 |
10 |
23 |
||
Gender |
Male |
20 |
41 |
0.8052(FE) |
Female |
9 |
16 |
||
Nationality |
Canada |
14 |
17 |
0.1533(FE)c |
Portugal |
1 |
5 |
||
Ghana |
0 |
3 |
||
Guyana |
2 |
3 |
||
India |
3 |
3 |
||
Hungary |
0 |
2 |
||
Trinidad |
0 |
2 |
||
Jamaica |
0 |
2 |
||
Sri Lanka |
0 |
2 |
||
Columbia |
0 |
2 |
||
China |
3 |
0 |
||
Otherb |
6 |
15 |
||
English Speaking |
Yes |
22 |
45 |
0.7801(FE) |
No |
7 |
11 |
||
Marital Status |
Married |
19 |
35 |
0.834(CS) |
Widowed/ separated/divorced |
9 |
20 |
||
Never married |
6 |
9 |
||
Education |
Less than high school |
2 |
11 |
0.144(CS) |
High school |
11 |
26 |
||
Higher education |
6 |
9 |
||
Occupation |
Management |
0 |
1 |
0.4099(CS)d |
Business, Finance, and administration |
2 |
1 |
||
Natural and Applied Sciences and related |
0 |
1 |
||
Health |
0 |
2 |
||
Education, Law, and social, community, and
government services |
2 |
1 |
||
Sales and Service |
9 |
9 |
||
Trades, transport, equipment operators, and
related |
14 |
26 |
||
Natural resources, agriculture, and related |
1 |
0 |
||
Manufacturing and Utilities |
0 |
6 |
||
Work Status at Time of Injury |
Full-time |
24 |
48 |
0.9418(CS) |
Part-time |
3 |
6 |
||
Other |
1 |
3 |
||
Smoking Status |
Current Smoker |
8 |
18 |
0.9129(CS) |
Former Smoker |
7 |
12 |
||
Never Smoked |
10 |
20 |
||
Alcohol/ Recreational Drug Use |
Yes |
13 |
13 |
0.0812(FE) |
No |
16 |
41 |
||
a- not all data was available for every
patient, b-
Nationality "Other" includes countries of origin that are
represented by only a single patient, c- Fisher's Exact test comparing patients of Canadian
nationality to all other nationalities combined because there were so few
patients from each of the other countries, d- Chi-Square test comparing the percentage of
patients in sales and service; trades, transport, equipment; and all other
trades. A Chi-square test for trend was also
conducted using all the occupation categories as well to account for the zero
values (p = 0.3253). |
Variablea |
RTW |
Did not RTW |
P value |
(n=29) |
(n= 57) |
||
Age (mean (SD)) |
44.26 (12.02) |
48.06
(11.56) |
0.173 |
Gender |
68.97 |
71.93 |
0.805 |
Log Time
since injury in days (median (IQR)) |
5.35 |
5.72 |
0.006 |
Intake
LEFS |
19.55
(15.21) |
24.49
(15.43) |
0.165 |
Intake
PCS |
33.90
(13.68) |
27.12 (16.59) |
0.062 |
Intake
PHQ-9 (mean (SD)) |
15.62
(7.39) |
11.18
(8.58) |
0.021 |
a Unpaired t-tests were used
to compare between means. The
Mann-Whitney test was used to compare between medians. The exact p value is
reported. |
Table 2: Clinical Characteristics at Initial Presentation
of Patients Responding at Follow-up.
Variable |
Odds Ratio |
95% Confidence Interval |
P value |
|
Lower |
Upper |
|||
Age |
0.96 |
0.919 |
1.003 |
0.064 |
Log Time since injury (days) |
0.527 |
0.295 |
0.94 |
0.018 |
Intake LEFS |
0.957 |
0.919 |
0.996 |
0.021 |
Table 3: Effect of Clinical Variables at Initial
Presentation on Return to Work Status Three Months after Injury.
Variablea |
RTW |
Did not RTW |
P value |
(n=29) |
(n= 57) |
||
Age (mean (SD)) |
48 (11.7) |
40 (10.5) |
0.5351 |
Gender |
71 |
65 |
0.7635 |
Log Time since injury in days (median (IQR)) |
5.7 (1.0) |
4.9 (1.1) |
0.0043 |
Intake LEFS |
25 (16.4) |
22 (14.1) |
0.5273 |
Intake PCS |
28 (16.2) |
30 (14.2) |
0.7334 |
Intake PHQ-9 (mean (SD)) |
12 (8.3) |
12 (7.0) |
0.8358 |
a- Unpaired t-tests were used to compare
between means. The Mann-Whitney test
was used to compare between medians. The exact p value is reported. |
Table 4: Clinical Characteristics
at Initial Presentation of Patients Responding at Discharge.
Variable |
Odds Ratio |
95% Confidence Interval |
P value |
|
Lower
|
Upper |
|||
Age |
0.97 |
0.92 |
1.03 |
0.285 |
Log Time since injury (days) |
0.5 |
0.24 |
1.06 |
0.045 |
Intake LEFS |
0.96 |
0.91 |
1.01 |
0.107 |
Table 5: Effect of
Clinical Variables at Initial Presentation on Return to Work Status at
Discharge.
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Association of Workers' Compensation Boards of
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Black C (2008) Working for a healthier tomorrow
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Sheik K (1985) Return to work following limb
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National Occupational Classification Resources
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