| Literature DB >> 35568833 |
Eliza Waller1, Andrea Bowens2, Nicholas Washmuth1.
Abstract
BACKGROUND: Physical therapists (PTs) are at increased risk for development of work-related upper limb disorders (WRULDs) due to the physically intensive, constant hands-on nature of the profession. The objectives of this systematic review were to examine the literature on WRULDs among PTs, specifically the (1) 1-year prevalence, (2) workplace risk factors, (3) consequences, and (4) coping strategies utilized to mitigate WRULDs.Entities:
Keywords: Physical therapists; Prevalence; Prevention; Risk factors; Work-related upper limb disorders
Mesh:
Year: 2022 PMID: 35568833 PMCID: PMC9107146 DOI: 10.1186/s12891-022-05412-8
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.562
Fig. 1PRISMA Flow Diagram
Study Characteristics
| Adegoke et al. [ | 2008 | Nigeria | Cross-Sectional Study | 126 (46F, 80M) | Survey based on Cromie et al. [ |
| Alnaser and Aljadi [ | 2019 | State of Kuwait | Descriptive Cross-Sectional Study | 312 (186F, 126M) | Questionnaire adapted from Holder et al. [ |
| Buddhadev and Kotecha [ | 2012 | Saurashtra Region, India | Cross-Sectional Study | 29a | Self-designed questionnaire |
| Campo et al. [ | 2019 | United States | Mixed-Methods Study | 962 (576F, 382M) | Self-designed survey based on Campo et al. [ |
| Campo et al. [ | 2008 | United States | Prospective Cohort Study w/ 1-year Follow-Up | 881 (627F, 254M) | Self-designed questionnaire based on the NMQ [ |
| Chung et al. [ | 2013 | Korea | Cross-Sectional Study | 157 (74F, 83M) | Self-administered questionnaire based on Adegoke et al. [ |
| Cromie et al. [ | 2000 | Australia | Cross-Sectional Study | 536 (418F, 118M) | Self-designed survey WMSD aspect based on the NMQ [ |
| Glover et al. [ | 2005 | United Kindom | Cross-Sectional Study | 2593 (2318F, 275M) | Self-designed survey based on Cromie et al.[ |
| McMahon et al. [ | 2006 | Australia | Cross-Sectional Study | 961 (746F, 215M) | Self-designed questionnaire |
| Rossettini et al. [ | 2016 | Italy | Cross-Sectional Study | 219 (90F, 126M) | Self-designed questionnaire |
| Rozenfeld et al. [ | 2010 | Israel | Cross-Sectional Study | 123 (82F, 41M) | Questionnaire based on Cromie et al. [ |
| West and Gardner [ | 2001 | Australia | Cross-Sectional Study | 217 (178F, 39M) | Self-designed questionnaire |
Abbreviations: F Female, M Male
aGender breakdown not reported
Prevalence of WMSDs and Prevalence of WRULDs by Body Region
| Adegoke et al. [ | 91.3% | Shoulder: 22.2% |
| Elbow/Forearm: 5.6% | ||
| Wrist & Hand: 20.6% | ||
| Thumb: 11.1% | ||
| Alnaser and Aljadi [ | 48% | Shoulder: 7% |
| Elbow/Forearm: a | ||
| Wrist & Hand: 20% | ||
| Thumb: ab | ||
| Buddhadev and Kotecha [ | 69% | Shoulder: 15% |
| Elbow/Forearm: 5% | ||
| Wrist & Hand: 5% | ||
| Thumb: ab | ||
| Campo et al. [ | 74.8% (1-Year Prevalence of wrist, hand, and thumb WMSDs) | Shoulder: a |
| Elbow/Forearm: a | ||
| Wrist & Hand: 66.2% | ||
| Thumb: 52.5% | ||
| Campo et al. [ | 28% | Shoulder: 3.2% |
| Elbow/Forearm: 1.4% | ||
| Wrist & Hand: 5.3% | ||
| Thumb: ab | ||
| Chung et al. [ | 92.4% | Shoulder: 45.2% |
| Elbow/Forearm: 7.0% | ||
| Wrist & Hand: 33.8% | ||
| Thumb: 7.6% | ||
| Cromie et al. [ | 82.8% Career Prevalence of 91% | Shoulder: 22.9% |
| Elbow/Forearm: 13.2% | ||
| Wrist & Hand: 21.8% | ||
| Thumb: 33.6% | ||
| Glover et al. [ | 68% Career Prevalence 68% | Shoulder: 14.8% |
| Elbow/Forearm: 5.5% | ||
| Wrist & Hand: 12.5% | ||
| Thumb: 17.8% | ||
| McMahon et al. [ | 41% (1-Year Prevalence of Thumb WMSDs) Career Prevalence of 65% | Shoulder: a |
| Elbow/Forearm: a | ||
| Wrist & Hand: a | ||
| Thumb: 41% | ||
| Rossettini et al. [ | 49.3% (1-Year Prevalence of Thumb WMSDs) Career Prevalence of 70.8% | Shoulder: a |
| Elbow/Forearm: a | ||
| Wrist & Hand: a | ||
| Thumb: 49.3% | ||
| Rozenfeld et al. [ | 83% Career Prevalence of 80% | Shoulder: 42.2% |
| Elbow/Forearm: 16% | ||
| Wrist: 35.7% | ||
| Thumb: 33.9% | ||
| West and Gardner [ | 55% Career Prevalence of 40% | Shoulder: 10% |
| Elbow/Forearm: a | ||
| Wrist & Hand: 14% | ||
| Thumb: ab |
aNo data reported
bThumb data included under hand data
Workplace Risk Factors
| Adegoke et al. [ | 83.5% | 67.8% | 52.2% | 52.2%% | 46.9% | 71.3% | 61.7% | 29.6% |
| Alnaser and Aljadi [ | b | 26% | 5% | 85% | b | 10% | b | b |
| Buddhadev and Kotecha [ | 26.7% | b | b | 1.7% | b | 11.7% | 8.3% | b |
| Campo et al. [ | b | a | a | b | b | b | b | b |
| Campo et al. [ | b | a | a | b | b | b | b | a |
| Chung et al. [ | 90.4% | 72.0% | 86.6% | 77.7% | 64.3% | 73.2% | 89.8% | 42.7% |
| Cromie et al. [ | 41.4% | 53.8% | 52.3% | a | a | 41.5% | a | 3.1% |
| Glover et al. [ | 67% | 49% | 73% | 52% | 44% | 67% | 41% | 14% |
| McMahon et al. [ | 76%c | 70%c | 86.0%c | 69.0%c | 56.0%c | b | 49%c | 40%c |
| Rossettini et al. [ | b | 68.5%c | b | 66.7%c | b | 64.8%c | b | b |
| Rozenfeld et al. [ | 62.4% | 32.3% | 58.1% | 51.7% | 35.5% | 31.2% | b | 12.9% |
| West and Gardner [ | 50% | 50% | 50% | 51% | 32% | 58% | 33% | 6% |
aspecific percentages not reported
bno data reported
cspecific to thumb disorders
Fig. 2Consequences of WRULDs*
Fig. 3Coping Strategies, Treatment of and Prevention for WRULDs*
Risk of bias assessment of the 10 included studies
| Adegoke et al. [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 100% | Low |
| Alnaser and Aljadi [ | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 78% | Low |
| Buddhadev and Kotecha [ | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 67% | Moderate |
| Campo et al. [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 89% | Low |
| Campo et al. [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 100% | Low |
| Chung et al. [ | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 89% | Low |
| Cromie et al. [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 100% | Low |
| Glover et al. [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 100% | Low |
| McMahon et al. [ | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 89% | Low |
| Rossettini et al. [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 89% | Low |
| Rozenfeld et al. [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 100% | Low |
| West and Gardner [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 89% | Low |
aQ1-Q9 indicate questions 1 to 9 based on the JBI criteria located in Appendix
Score of 1: indicates the article does fulfill the specified criteria
Score of 0: indicates the article does not fulfill the stated criteria
Studies with >70% = low risk of bias, studies with 50-69% = moderate risk of bias, and studies with <50% = high risk of bias
JBI critical appraisal checklist for studies reporting prevalence data
| 1. Was the sample frame appropriate to address the target population? |
| 2. Were study participants sampled in an appropriate way? |
| 3. Was the sample size adequate? |
| 4. Were the study subjects and the setting described in detail? |
| 5. Was the data analysis conducted with sufficient coverage of the identified sample? |
| 6. Were valid methods used for the identification of the condition? |
| 7. Was the condition measured in a standard, reliable way for all participants? |
| 8. Was there appropriate statistical analysis? |
| 9. Was the response rate adequate, and if not, was the low response rate managed appropriately? |