Literature DB >> 29318082

A Review of a Workers' Compensation Database 2003 to 2013: Patient Factors Influencing Return to Work and Cumulative Financial Claims After Rotator Cuff Repair in Geriatric Workers' Compensation Cases.

Edward Shields1, Caroline Thirukumaran1, Katia Noyes1, Ilya Voloshin1.   

Abstract

BACKGROUND: Workers' compensation status is associated with poor outcomes after rotator cuff repair surgery. The purpose of this study was to analyze a database of geriatric workers' compensation patients after surgical repair of the rotator cuff and identify both medical and nonmedical patient factors that influence the time it takes for them to return to work at full duty, including a comparison of arthroscopic and open techniques.
METHODS: An all workers' compensation database was queried for rotator cuff claims that were surgically managed using arthroscopic, open, or both approaches from 2003 to 2013 in patients aged ≥60. Primary outcomes were the number of days for return to full work (RTW) following surgery and the total reimbursement for health care. Multivariate analysis was performed, and data are presented as average ± standard deviation.
RESULTS: The database yielded 1903 claims for surgically treated rotator cuff conditions (arthroscopic n = 935; open n = 926; both n = 42). In multivariate RTW analyses, we did not find a significant difference between groups (RTW in days was 153 ± 134 for arthroscopy [P = .81], 160 ± 160 for open [Ref], and 140 ± 82 days for both [P = .75]). However, multivariate analysis of reimbursement claims found arthroscopic surgery claims to be 13% higher compared to claims for open surgery only (US $29 986 ± 16 259 for arthroscopy vs US $26 495 ± 13 186 for open, P < .001). Patients aged ≥65 had more medical expenses than patients aged 60 to 64 (P = .03). Potentially modifiable variables that significantly prolonged RTW timing and higher health-care claims included need for vocational rehabilitation services and filing of a legal suit.
CONCLUSIONS: Return to full-duty work in geriatric workers' compensation patients after rotator cuff repair takes about 5 months regardless of surgical approach and costs significantly more in patients aged ≥65. Arthroscopic repairs generated 13% more cumulative health-care costs than open surgery alone. More efficient vocational rehabilitation services and minimizing legal suits may help get patients back to work sooner and reduce overall costs.

Entities:  

Keywords:  arthroscopic repair; financial claims; health-care reimbursement; return to work; rotator cuff; workers’ compensation

Year:  2017        PMID: 29318082      PMCID: PMC5755839          DOI: 10.1177/2151458517732209

Source DB:  PubMed          Journal:  Geriatr Orthop Surg Rehabil        ISSN: 2151-4585


Introduction

Multiple patient factors have been identified that may negatively impact functional outcomes following rotator cuff surgery; however, workers’ compensation seems to be one of the most widely and consistently cited predictors.[1-5] Patients being cared for under workers’ compensation have been reported to have worse outcomes after partial-thickness tear repairs,[2] full-thickness tears,[5] after retear,[4] and they may be less compliant with postoperative protocols.[1] Some have reported that nearly 90% of these patients eventually return to their preoperative level of work, but typically well over 7 months after surgery.[6] There are European studies that return to work after rotator cuff surgery may be tied to compensation quantities and the nature of work for the individual.[7] No study in the United States has evaluated specific patient factors in an entire cohort of workers’ compensation patients to determine what factors influence return to work and overall costs. With the introduction of bundled payments for Medicare joint replacement and other cost-limiting reforms that are being put forward, it is important to identify additional factors that generate costs related to the patients’ care that are not related to the surgical treatment itself. The purpose of this study was to analyze a database of geriatric workers’ compensation patients after surgical repair of the rotator cuff and identify both medical and nonmedical patient factors that influence the time it takes for them to return to work at full duty, including a comparison of arthroscopic and open techniques. Our hypothesis was that arthroscopic surgery would help return patients to work faster but generate higher reimbursement claims.

Methods

After institutional review board approval, access to the Sedgwick Claims Management Services’ Workers’ Compensation database for Illinois was obtained for the years 2003 to 2013. The International Classification of Diseases, Ninth Revision, Clinical Modification diagnoses codes (726.10, 726.1, 726.13, 726.19, 727.61, 840.3, 840.4, 840.6) and Current Procedural Terminology (CPT) codes (29827, 23410, 23412, 23420) were used to identify patients with rotator cuff tears who were managed by arthroscopy, open surgery, or both. The outcomes of interest were the number of days for return to full work (RTW) following surgery and the total reimbursement for health-care-related claims (adjusted to 2013 dollars to account for inflation and log transformed to satisfy model assumptions) in patients aged ≥60. The primary independent variable was the type of surgical approach (arthroscopic, open, and both). The unadjusted association between the type of surgical approach and the outcomes of interest was analyzed using t tests and the Kruskal-Wallis test. Adjusted analyses utilized Cox proportional hazard models with temporal and regional fixed effects (for RTW outcome) and linear regression models with temporal fixed effects and state random effects (for health-care-related claims outcome), while controlling for relevant employee, employer, and treatment covariates that were likely to confound the association. The RTW data are presented as hazard ratios, and claims data are presented as log-transformed estimates. We used 2-tailed hypothesis tests and P value <.05 to indicate statistical significance. Injury mechanism was classified into the following groups: (1) pushing, pulling, lifting; (2) slip, trip, falls; (3) repetitive motion; (4) motorized vehicle accidents; and (5) other. Job classifications were divided into the following categories: (1) farm related; (2) driving, flying, boating related; (3) manufacturing; (4) low demand; (5) repair, installation, maintenance work; (6) warehouse or product dealer; (7) restaurant related; (8) nonprofessional medical; (9) athletics; (10) law enforcement, firefighters; (11) professionals; (12) laborers; and (13) other.

Results

There were 1903 completed claims for rotator cuff conditions surgically managed in the database for patients ≥60. Of these, 49% of the claims (n = 935) were arthroscopic repair, 49% (n = 926) open repair only, and 2% (n = 42) reported both open and arthroscopic repair. For claims with complete follow-up, the average time for RTW was 153 ± 134 days for arthroscopy claims, 160 ± 160 days for open surgery claims, and 140 ± 82 days for claims with both surgical approaches. The average health-care claims reimbursed were US $29 986 ± 16 259 for arthroscopy claims, US $26 495 ± 13 186 for open surgery claims, and US $29 090 ± 12 761 for claims with both surgical approaches. Detailed characteristics for all 3 groups are presented in Table 1.
Table 1.

Cohort Characteristics by Surgical Treatment.

VariableOpen (n = 926)Arthroscopic (n = 935)Both (n = 42)Total (n = 1903)
Age in years, n (%)
 <65a 654 (70.63)667 (71.34)27 (64.29)1348 (70.84)
 ≥65272 (29.37)268 (28.66)15 (35.71)555 (29.16)
Age in years, mean (SD)63.73 (4.09)63.67 (3.94)63.97 (3.42)63.71 (4.00)
Female, n (%)326 (35.21)346 (37.01)17 (40.48)689 (36.21)
Marital status: n (%)
 Single, divorced, widowed220 (23.76)218 (23.32)11 (26.19)449 (23.59)
 Married474 (51.19)510 (54.55)16 (38.10)1000 (52.55)
Dependents: n (%)
 None782 (84.45)834 (89.20)41 (97.62)1657 (87.07)
 One or more144 (15.55)101 (10.80)1 (2.38)246 (12.93)
Cause of injury: n (%)
 Pushing/pulling/lifting244 (26.35)250 (26.74)11 (26.19)505 (26.54)
 Slip/trip/fall322 (34.77)299 (31.98)11 (26.19)632 (33.21)
 Repetitive motion85 (9.18)66 (7.06)5 (11.90)156 (8.20)
 Motor vehicle injuries11 (1.19)10 (1.07)0 (0.00)21 (1.10)
 Other264 (28.51)310 (33.16)15 (35.71)589 (30.95)
Treated in ED, n (%)48 (5.18)54 (5.78)4 (9.52)106 (5.57)
Vocational rehabilitation, n (%)97 (10.48)37 (3.96)4 (9.52)138 (7.25)
Legal suit, n (%)244 (26.35)215 (22.99)11 (26.19)470 (24.70)
Program type, n (%)
 Insured436 (47.08)460 (49.20)20 (47.62)916 (48.13)
 Self-insured490 (52.92)475 (50.80)22 (52.38)987 (51.87)
Regular employment, n(%)773 (83.48)778 (83.21)34 (80.95)1,585 (83.29)
Service length in years, n (%)
 0: <3 years150 (16.20)187 (20.00)3 (7.14)340 (17.87)
 1: ≥3 and <10275 (29.70)257 (27.49)12 (28.57)544 (28.59)
 2: ≥10 and <20192 (20.73)221 (23.64)7 (16.67)420 (22.07)
 3: ≥20309 (33.37)270 (28.88)20 (47.62)599 (31.48)
Region: n (%)
 Midwest307 (33.15)291 (31.12)7 (16.67)605 (31.79)
 South253 (27.32)330 (35.29)16 (38.10)599 (31.48)
 Northeast109 (11.77)150 (16.04)3 (7.14)262 (13.77)
 West257 (27.75)164 (17.54)16 (38.10)437 (22.96)
Job classification: n (%)
 Farm related9 (0.97)12 (1.28)1 (2.38)22 (1.16)
 Driving/flying/boating44 (4.75)59 (6.31)2 (4.76)105 (5.52)
 Manufacturing235 (25.38)183 (19.57)9 (21.43)427 (22.44)
 Low demand143 (15.44)157 (16.79)6 (14.29)306 (16.08)
 Repair/installation/maintenance work138 (14.90)118 (12.62)10 (23.81)266 (13.98)
 Warehouse or product dealer283 (30.56)299 (31.98)10 (23.81)592 (31.11)
 Restaurant9 (0.97)9 (0.96)0 (0.00)18 (0.95)
 Medical (general hospital employee, nurses)0 (0.00)4 (0.43)0 (0.00)4 (0.21)
 Athletics3 (0.32)6 (0.64)1 (2.38)10 (0.53)
 Law enforcement/firefighting5 (0.54)6 (0.64)0 (0.00)11 (0.58)
 Professionals (physicians, engineer, architect)46 (4.97)64 (6.84)3 (7.14)113 (5.94)
 Laborer10 (1.08)17 (1.82)0 (0.00)27 (1.42)
Lost work days, n (%)
 0: <45 days192 (20.73)196 (20.96)6 (14.29)394 (20.70)
 1: ≥45 and <90149 (16.09)136 (14.55)5 (11.90)290 (15.24)
 2: ≥90 and <180225 (24.30)240 (25.67)10 (23.81)475 (24.96)
 3: ≥180 and <360178 (19.22)230 (24.60)11 (26.19)419 (22.02)
 4: ≥360182 (19.65)133 (14.22)10 (23.81)325 (17.08)
Lost work, days, mean (SD)245.50 (358.24)202.16 (279.01)245.33 (242.99)224.21 (319.98)
Percent of impairment, mean (SD)5.04 (12.60)5.05 (27.30)5.10 (7.18)5.05 (21.08)
Outcomes
 Return to work (days)160153140156
 Medical expenses paidUS $26 495US $29 986US $29 090US $28 309

Abbreviations: SD, standard deviation; ED, Emergency Department.

aPatient group of <65 years only includes ages 60 to 64.

Cohort Characteristics by Surgical Treatment. Abbreviations: SD, standard deviation; ED, Emergency Department. aPatient group of <65 years only includes ages 60 to 64. In multivariate RTW analyses, there was no significant difference between the 3 groups in their time to RTW (P > .05). Causes of injury other than pushing/pulling/lifting injuries, filing during certain years, and various job classifications were significant predictors of earlier RTW (P < .05). The need for vocational rehabilitation services and filing of a legal suit were associated with later RTW (P < .05; Table 2).
Table 2.

Results of the Multivariate Analysis for RTW and Health-Care Expense Claims.

VariableReturn to WorkMedical Expenses Paid
HR95% CI P LTE95% CI P
Surgical approach
 OpenRefRef
 Arthroscopic0.990.88-1.11.810.10*0.06-0.14<.01
 Both0.950.70-1.29.750.06−0.01 to 0.14.10
Age in years
 <65RefRef
 ≥650.900.80-1.02.10−0.05*−0.10 to −0.00.03
Gender
 MaleRefRef
 Female0.940.85-1.03.19−0.04−0.08 to 0.00.08
 Unknown0.560.27-1.15.110.11−0.20 to 0.42.48
Marital status
 Single, divorced, widowedRefRef
 Married1.100.99-1.21.070.03−0.02 to 0.08.21
 Separated0.410.16-1.07.07−0.13−0.51 to 0.26.52
 Unknown1.040.90-1.20.580.06−0.01 to 0.12.08
 Dependents
 NoneRefRef
 1 or more1.020.80-1.30.88−0.04−0.10 to 0.02.22
Year of injury
 2003RefRef
 20040.940.66-1.34.72−0.09−0.22 to 0.03.15
 20050.930.73-1.18.55−0.11−0.22 to 0.01.07
 20061.321.00-1.73.05−0.12*−0.23 to −0.02.03
 20071.160.81-1.66.42−0.01−0.12 to 0.09.78
 20081.150.87-1.52.34−0.01−0.12 to 0.09.79
 20091.080.83-1.41.570.03−0.08 to 0.14.58
 20101.140.85-1.52.400.01−0.09 to 0.12.79
 20111.711.31-2.25<.0010.00−0.12 to 0.12.95
 20121.851.33-2.57<.0010.02−0.11 to 0.15.74
Cause of injury
 Pushing/pulling/liftingRef Ref
 Slip/trip/fall1.351.15-1.58<.0010.130.08 to 0.17<.001
 Repetitive motion1.27*1.01-1.60.040.00−0.09 to 0.09.99
 Motor vehicle injuries1.910.99-3.70.050.05−0.14 to 0.24.63
 Other (including unknown)1.251.11-1.41<.0010.05−0.01 to 0.12.12
Treated in ED
 NoRef Ref
 Yes1.140.93-1.39.200.04−0.04 to 0.11.36
Overnight stay
 NoRef Ref
 Yes0.560.28-1.110.100.09−0.24 to 0.42.58
Percent of impairment1.001.00- 1.000.150.00−0.00 to 0.00.62
Vocational rehabilitation
 NoRef Ref
 Yes0.480.40-0.58<0.0010.08*0.01 to 0.16.03
Legal suit
 NoRef Ref
 Yes0.620.53-0.72<0.0010.080.02 to 0.14.01
Subrogation
 NoRef Ref
 Yes1.47*1.10-1.980.01−0.01−0.17 to 0.15.91
Self-insured program
 NoRef Ref
 Yes1.050.92-1.190.48−0.05−0.10 to 0.00.05
Regular employment
 NoRef Ref
 Yes1.100.94-1.280.23−0.03−0.06 to 0.01.15
Service length in years
 <3 yearsRef Ref
 ≥3 and <101.050.92-1.210.46−0.03−0.08 to 0.02.20
 ≥10 and <201.050.87-1.270.62−0.06*−0.11 to−0.01.02
 ≥200.940.84-1.070.36−0.05−0.11 to 0.02.17
Job classification category
 Farm relatedRef Ref
 Driving/flying/boating1.410.77-2.580.27−0.11−0.27 to 0.05.19
 Manufacturing1.490.84-2.650.17−0.11−0.26 to 0.04.14
 Low demand1.96*1.11-3.470.02−0.03−0.18 to 0.12.69
 Repair/installation/maintenance work1.690.98-2.900.06−0.12−0.28 to 0.03.13
 Warehouse or product dealer1.79*1.05-3.040.03−0.04−0.19 to 0.10.55
 Restaurant1.640.84-3.220.15−0.17−0.41 to 0.07.16
 Medical (general hospital employee, nurses)1.320.38-4.610.660.410.11 to 0.72.01
 Athletics1.140.43-3.050.79−0.01−0.35 to 0.34.97
 Law enforcement/firefighting2.110.81-5.480.130.01−0.20 to 0.23.92
 Professionals (physician, engineer, architect)2.07*1.12-3.820.02−0.08−0.23 to 0.07.28
 Unable to determine0.650.03-12.370.77−0.50−0.66 to −0.33<.001
 Laborer1.910.98-3.690.06−0.19−0.42 to 0.05.12
Geographic region
 MidwestRef Ref
 South0.900.75-1.080.27−0.21*−0.41 to −0.01.04
 Northeast0.78*0.61-1.000.05−0.23−0.49 to 0.03.08
 West0.930.76-1.150.51−0.27−0.46 to −0.08.01
Loss of work in days
 <45Ref
 ≥45 and <900.07*0.00 to 0.14.04
 ≥90 and <1800.110.04 to 0.17<.001
 ≥180 and <3600.200.14 to 0.26<.001
 ≥360 0.460.36 to 0.56<.001

Abbreviations: 95% CI, 95% confidence interval for the value reported; HR, hazard ratio; LTE, log-transformed estimate; Ref, reference group.

aStatistically significant variables have been bolded and an asterisk (*) placed next to them.

bIn this analysis, an HR >1 indicates an earlier return to work, where as an HR<1 indicates a later return to work.

cIn this analysis, a positive LTE suggests higher health-care expenses, while a negative LTE suggests lower health-care expenses.

Results of the Multivariate Analysis for RTW and Health-Care Expense Claims. Abbreviations: 95% CI, 95% confidence interval for the value reported; HR, hazard ratio; LTE, log-transformed estimate; Ref, reference group. aStatistically significant variables have been bolded and an asterisk (*) placed next to them. bIn this analysis, an HR >1 indicates an earlier return to work, where as an HR<1 indicates a later return to work. cIn this analysis, a positive LTE suggests higher health-care expenses, while a negative LTE suggests lower health-care expenses. After controlling for differences between states of jurisdiction, multivariate analysis of reimbursement for claims with arthroscopic surgery were found to be 13% higher (95% confidence interval: 0.06-0.14, P < .001). Age ≥ 65 (vs 60-64), injury due to ground-level falls (Reference Group [RG]: pushing/pulling/lifting), need for vocational rehabilitation services, loss of at least 45 working days (RG: <45 days), filing of a legal suit, and general employees of a medical facility/hospital (RG: farm-related injuries) were significant predictors of higher health-care claims. Surgeries for injuries in 2006 (RG: 2003), service length between 10 and 20 years (RG: <3 years), and claims filed in the South and West (RG: Midwest) were significantly associated with lower claim amounts (Table 2).

Discussion

This study identified litigation and vocational rehabilitational services as the only modifiable variables that negatively impacted return to work and overall health-care costs in geriatric workers’ compensation patients undergoing rotator cuff repair, both completely unrelated to their medical care. This is the first study to our knowledge reporting the time to return to work, health-care claims, and patient variables that influence these outcomes after arthroscopic and open surgery in an all workers’ compensation patient population. Contrary to our hypothesis, patients undergoing arthroscopic repair had similar return to work times compared with open surgery; however, arthroscopic surgery resulted in more health-care claims. The majority of significant variables identified that influenced return to work and reimbursement claims were nonmodifiable. Previous studies have reported return to work timing after rotator cuff repair in workers’ compensation patients. The data in this study suggest it takes around 5 months for compensated patients to return to full-duty work. This is actually less than previous studies, which ranged from 7.6 to 9.8 months.[6,8,9] Aside from being a negative predictor for outcomes,[4,5] workers’ compensation status has additionally been a predictor for inability to return to work by 6 months after rotator cuff repair.[10] The RTW timing average for our cohort was somewhat better than previous reports, but still much longer than noncompensated patients. Non-workers’ compensation patients in the United States and the lowest compensated patients in Belgium (self-employed) after rotator cuff repair all seem to return to work at around 2 months postoperatively on average, compared to prolonged recovery of compensated patients.[7,8] Compensated patients having prolonged return to work timing compared with noncompensated have been documented for multiple orthopedic procedures.[11] The prolonged recovery and worse outcomes in compensated patients likely leads to more health-care utilization and subsequently higher costs of care after work-related shoulder injuries.[12-17] The slow recovery and lower outcome scores would be expected to result in more therapy, potentially more imaging, and more physician office appointments relative to noncompensated patients. The data in this study were generated from large cohorts, with overall health-care costs averaging around US $30 000 by the time the average worker returned to full-time work, with arthroscopy being slightly more expensive. The authors were unable to find any previously published data from workers’ compensation databases looking at total health-care costs for comparison. The majority of studies reporting on costs after rotator cuff surgery seem to focus more on the actual surgical costs, which were roughly US $8000 to US $9000,[7,18,19] and were not specific to workers’ compensation patients. Some of these data have shown that arthroscopic rotator cuff repair requires more operating room time and generates higher surgical center costs, possibly from a combination of longer surgical time and more expensive implants.[18] This may partially explain the difference in cost between the 2 groups. Despite the high cost of treating compensated patients in our study, the potential savings to society appear to be even greater, and getting these patients back to work ultimately reduces the economic burden to society despite the high initial costs.[20] Although prolonged recovery of workers’ compensation patients is well-documented, specific risk factors within this patient population for prolonged recovery are lacking. Older age significantly prolonged return to work in our study, and this has also been previously reported.[9] Unfortunately, the majority of risk factors identified for both return to work and increased financial burden are unable to be modified (age, marital status, injury mechanism, and length of employment). Data of this nature are useful for identifying and documenting which patients would be at high risk of delayed return to work and increased health-care costs, but are not useful for actually working to decrease these costs. Incentivizing patient to return to work sooner by tapering their compensation after a defined time point (like the average return to work of noncompensated patients, ie, 2 months) or attempting to eliminate or modify variables that negatively impact return to work and cost, such as vocational rehabilitation and litigation, are potential avenues for improving return to work and costs associated with workers’ compensation patients based on this study. Vocational rehabilitation services are designed to get patients back to work in a timely manner and may implement any number of resources, including physical therapy, psychological counseling, facilitating job modifications, job analysis, and any number of private sector services that might help injured workers get back to work.[21] These services are expensive, and numerous areas have been identified that could lead to more cost-effective care, some of which are underway in Washington state.[21] Modifications could include reducing repeat referrals, more timely implementation of recovery plans, incentivizing completion of rehabilitation, and shorter or more accelerated rehabilitation plans.[21] Additionally, changing the reimbursement models by linking payment to outcomes has been proposed to be a potential way to decrease costs and improve return to work timing.[22] Interestingly, a worker’s desire or expectation to return to work may play a larger role in their recovery than the actual rehabilitation services,[23] suggesting that patient expectations should be considered when developing a rehabilitation plan, which may help reduce utilization and costs. In this all workers’ compensation cohort, filing of a legal suit was a significant predictor of not only prolonged RTW but also higher health-care costs. This finding only adds to the growing number of sources that consistently find litigation negatively affecting the utilization of health-care resources. Defensive medicine by US orthopedic trauma surgeons has been estimated to be roughly US $94 000 annually per surgeon.[22] When considering all subspecialties in the field of orthopedic surgery, the costs may be even higher, with an estimated 24% of tests being performed for defensive measures, resulting in US $100 000 of additional health-care costs per year, per surgeon.[24] The mere act of defending a law suit can generate huge fees, with 30% of litigation costs being legal fees.[25] Although previous data have been published suggesting workers’ compensation patients generate more health-care costs for similar injuries relative to non-workers’ compensation patients,[26] this is the first study in the orthopedic literature to our knowledge linking litigation (against an employer) in workers’ compensation cases to delayed return to work and with increased health-care costs for rotator cuff injuries. Lawsuits associated with workers’ compensation claims represent a significant secondary gain issue that would actually incentivize the patient to report lower functional outcomes and resist going back to work, regardless of the surgical technique, rehabilitation program, and overall care by their surgeon. These variables are clearly beyond the control of the surgeon in these complex cases and should be factored into determining the “quality” of care provided. This study is weakened by the lack of demographic information on these patients, as well as the lack of information regarding the size of the rotator cuff tears. No imaging or intraoperative data were available. This places our data at risk of selection bias. Information regarding the acuity of the tears was also not available, and although injury mechanisms were given, it was not possible to accurately determine the level of energy for specific injuries. Another important point is that the levels of duty descriptor were not available to us from the database, and therefore, we were forced to break up job descriptors into broad categories, in which there is undoubtedly a large variation in the actual physical demand. Information regarding surgical technique beyond arthroscopic or open CPT codes was also not available and would have added additional information to this study. There was no breakdown of health-care costs, and thus we were unable to determine how much was attributed to imaging, surgery, rehabilitation, and so on.

Conclusions

Return to full-duty work in geriatric workers’ compensation patients after rotator cuff repair takes about 5 months regardless of surgical approach and costs significantly more in patients aged ≥65. Arthroscopic repairs generated 13% more cumulative health-care costs than open surgery alone. More efficient vocational rehabilitation services and minimizing legal suits may help get patients back to work sooner and reduce overall costs.
  26 in total

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Authors:  Louise Steele; Soumya Mukherjee; Ashley Stratton-Powell; Ian Anderson; Jake Timothy
Journal:  Br J Neurosurg       Date:  2015-06-17       Impact factor: 1.596

Review 2.  Open versus arthroscopic distal clavicle resection.

Authors:  Michael Pensak; Robert C Grumet; Mark A Slabaugh; Bernard R Bach
Journal:  Arthroscopy       Date:  2010-05       Impact factor: 4.772

3.  Rehabilitation of compensable workplace injuries: effective payment models for quality vocational rehabilitation outcomes in a changing social landscape.

Authors:  Lynda R Matthews; Francine Hanley; Virginia Lewis; Caroline Howe
Journal:  Disabil Rehabil       Date:  2014-06-30       Impact factor: 3.033

4.  Why is the treatment of work-related injuries so costly? New evidence from California.

Authors:  W G Johnson; M L Baldwin; J F Burton
Journal:  Inquiry       Date:  1996       Impact factor: 1.730

5.  The impact of the belgian workers' compensation system on return to work after rotator cuff surgery.

Authors:  Karolien Didden; Geert Leirs; Peter Aerts
Journal:  Acta Orthop Belg       Date:  2010-10       Impact factor: 0.500

6.  Postoperative assessment of shoulder function: a prospective study of full-thickness rotator cuff tears.

Authors:  J P Iannotti; M P Bernot; J R Kuhlman; M J Kelley; G R Williams
Journal:  J Shoulder Elbow Surg       Date:  1996 Nov-Dec       Impact factor: 3.019

7.  Prospective evaluation of postoperative compliance and outcomes after rotator cuff repair in patients with and without workers' compensation claims.

Authors:  Derek J Cuff; Derek R Pupello
Journal:  J Shoulder Elbow Surg       Date:  2012-05-29       Impact factor: 3.019

8.  Total cost and operating room time comparison of rotator cuff repair techniques at low, intermediate, and high volume centers: mini-open versus all-arthroscopic.

Authors:  R Sean Churchill; Jugal K Ghorai
Journal:  J Shoulder Elbow Surg       Date:  2010-02-04       Impact factor: 3.019

9.  Clinical and financial comparison of operative and nonoperative treatment of displaced clavicle fractures.

Authors:  Peter L Althausen; Steven Shannon; Minggen Lu; Timothy J O'Mara; Timothy J Bray
Journal:  J Shoulder Elbow Surg       Date:  2012-09-07       Impact factor: 3.019

10.  Influence of compensation status on time off work after carpal tunnel release and rotator cuff surgery: a meta-analysis.

Authors:  Vinícius Ynoe de Moraes; Katelyn Godin; João Baptista Gomes Dos Santos; Flávio Faloppa; Mohit Bhandari; João Carlos Belloti
Journal:  Patient Saf Surg       Date:  2013-01-02
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  1 in total

1.  Earlier Return to Light Duty Is Associated With Successful Return to Full Duty of Workers' Compensation Patients Treated With Shoulder Arthroscopic Surgery.

Authors:  Patrick A Massey; Gabriel Sampognaro; Phillip Fincher; Samantha Vance; Milan Mody; R Shane Barton
Journal:  Arthrosc Sports Med Rehabil       Date:  2022-02-20
  1 in total

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