Prevalence of Body Area Work-Related Musculoskeletal Disorders among Healthcare Professionals: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy and Eligibility Criteria
- were not published in English,
- were not about healthcare professionals,
- mixed healthcare professions without the possibility of distinguishing between them,
- provided insufficient work-related MSD details,
- provided insufficient data about sampling,
- excluded or focused on only a limited number of body areas.
2.2. Methodological Quality Assessment and Risk of Bias
- -
- at least 85% of the checklist items are high-quality articles,
- -
- less than 50% of the checklist items are low-quality articles,
- -
- otherwise, they are considered of medium quality.
2.3. Data Extraction
3. Results
3.1. Search Results
3.2. Quality Appraisal
3.3. Study Characteristics
3.4. Body Area Work-Related MSD Prevalence
3.5. Job Risk Factors
3.6. Responses and Treatment to Reduce the Symptoms of MSDs
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Introduction | Methods | Results | Discussion | Total | |||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Title and Abstract | Background and Objective | Trial Design | Participants | Intervention | Outcomes | Sample Size | Randomizatoin and Sequence Generation | Statistical Methods | Participant Flow | Baseline Data | Numbers Analyzed | Outcomes and Estimation | Ancillary Analyses | Harms | Limitations | Generalizability | Interpretation | Funding | Score/19 | % Present Criteria | |||||||
1 | 2A | 2B | 3A | 3B | 4 | 5 | 6A | 6B | 7A | 7B | 8A | 8B | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 18 | ||||
PT | Adegoke et al. 2008 [33] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 0 | 1 | 1 | 0 | 0 | - | 1 | 0 | 0 | 0 | 10 | 53% |
PT | Alrowayeh et al. 2010 [34] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 0 | 1 | 1 | 0 | 0 | - | 1 | 1 | 1 | 0 | 12 | 63% |
PT | Anyfantis and Biska 2017 [35] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 0 | 0.5 | 1 | 1 | 1 | - | 0 | 0.5 | 0.5 | 0 | 10 | 61% |
PT | Campo et al. 2008 [38] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 0 | 0.5 | 1 | 1 | 1 | - | 1 | 1 | 1 | 0 | 13 | 71% |
PT | Chung et al. 2013 [10] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 0 | 0 | - | 0 | 1 | 0.5 | 0 | 11 | 61% |
PT | Cromie et al. 2000 [17] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 1 | - | 1 | 1 | 1 | 1 | 1 | 0.5 | - | 1 | 1 | 1 | 0 | 15 | 82% |
PT | Glover et al. 2005 [8] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 1 | - | 1 | 1 | 1 | 1 | 1 | 0.5 | - | 1 | 1 | 1 | 1 | 16 | 87% |
PT | Jang et al. 2006 [41] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 1 | - | 1 | 1 | 1 | 1 | 1 | 0 | - | 1 | 1 | 0.5 | 1 | 15 | 82% |
PT | Muaidi and Shanb 2016 [22] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 0 | 0.5 | - | 0 | 1 | 0.5 | 0 | 11 | 63% |
PT | Vieira et al. 2015 [54] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 0.5 | 1 | 1 | 1 | 0 | 0.5 | - | 1 | 1 | 0.5 | 1 | 12 | 71% |
Nurse | Pugh et al. 2020 [48] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 0 | 0.5 | - | 1 | 1 | 1 | 1 | 14 | 76% |
Nurse | Ribeiro et al. 2016 [50] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 0 | 0.5 | - | 1 | 0.5 | 1 | 0 | 12 | 68% |
Nurse | Asghari et al. 2019 [36] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 1 | - | 1 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 0.5 | 1 | 1 | 0 | 16 | 87% |
Nurse | Kee and Seo 2007 [42] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 0 | 0 | - | 0 | 0.5 | 0.5 | 0 | 10 | 58% |
Nurse | Tinubu et al. 2010 [23] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0.5 | 0.5 | 0 | 13 | 74% |
Nurse | Munabi et al. 2014 [3] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 1 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 0 | - | 0.5 | 1 | 1 | 0 | 14 | 76% |
Nurse | Choobineh et al. 2006 [39] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 1 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 0 | 0.5 | 0.5 | 0 | 13 | 74% |
Nurse | Smith et al. 2004 [51] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 1 | 1 | 0 | 15 | 79% |
Nurse | Anap et al. 2013 [9] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 0.5 | 1 | 1 | 0.5 | 0 | 0 | - | 0 | 0.5 | 0.5 | 0 | 8 | 53% |
Nurse | Yeung et al. 2005 [55] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 0.5 | 1 | 0 | 1 | - | 1 | 0.5 | 0.5 | 0 | 11 | 66% |
Nurse | Attar et al. 2014 [55] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 1 | - | 1 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 1 | 1 | 0 | 17 | 89% |
Dentist | Rabiei et al. 2011 [49] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 0.5 | 1 | 0 | - | 0 | 0.5 | 1 | 0 | 11 | 63% |
Dentist | Hayes et al. 2009 [40] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 0.5 | 0.5 | 1 | 0 | 13 | 74% |
Dentist | Khan and Yee Chew 2013 [42] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 0.5 | - | 1 | 1 | 1 | 0 | 14 | 76% |
Dentist | Kierklo et al. 2011 [43] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 0 | 1 | 0 | 1 | - | 0 | 0.5 | 0.5 | 0 | 10 | 58% |
Dentist | Ayers et al. 2009 [37] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 1 | - | 1 | 1 | 1 | 1 | 0 | 1 | - | 0 | 1 | 0.5 | 1 | 14 | 76% |
Dentist | Leggat et al. 2006 [45] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 1 | - | 1 | 1 | 1 | 1 | 0 | 0.5 | - | 0.5 | 0.5 | 0.5 | 0 | 11 | 68% |
Dentist | Szymanska 2002 [53] | 1 | 1 | 1 | 0 | - | 0.5 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 0 | 0.5 | 0 | 1 | - | 0 | 0.5 | 0.5 | 0 | 8 | 53% |
Dentist | Anton et al. 2002 [5] | 1 | 1 | 1 | 0 | - | 0.5 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0.5 | 0.5 | 0 | 12 | 71% |
Surgeron | Liang et al. 2012 [6] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 0.5 | 0 | 0.5 | - | 1 | 0.5 | 0.5 | 0 | 10 | 63% |
Surgeron | Adams et al. 2013 [32] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0.5 | 0.5 | 1 | 14 | 79% |
Surgeron | Knudsen et al. 2014 [44] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 0.5 | 1 | 1 | 1 | 0 | 0 | - | 1 | 0.5 | 0.5 | 1 | 11 | 66% |
Surgeron | Szeto et al. 2009 [52] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 0.5 | 1 | 1 | - | 1 | 0.5 | 0.5 | 1 | 13 | 76% |
Midwife | Okuyucu et al. 2017 [4] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 0 | 0.5 | 1 | 1 | 0 | 0 | - | 1 | 0.5 | 0.5 | 0 | 9 | 55% |
Midwife | Okuyucu et al. 2019 [47] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 1 | - | 0 | 0.5 | 0.5 | 0 | 12 | 68% |
Osteopath | McLeod et al. 2017 [46] | 1 | 1 | 1 | 0 | - | 1 | 1 | 1 | - | 0 | - | 0 | - | 1 | 1 | 1 | 1 | 1 | 0.5 | - | 1 | 0.5 | 1 | 0 | 13 | 74% |
Job Risk Factor—Activity That Causes Injury | Anap et al. [9] | Tinubu et al. [23] | McLeod et al. [46] | Adegoke et al. [33] | Anyfantis and Biska [35] | Chung et al. [10] | Glover et al. [8] | Muaidi and Shanb [25] | Liang et al. [6] | Szeto et al. [52] |
---|---|---|---|---|---|---|---|---|---|---|
Profession | Nurses | Nurses | Osteopaths | PT | PT | PT | PT | PT | Surgeons | Surgeons |
Number of responders | N = 228 | N = 118 | N = 160 | N = 120 | N = 252 | N = 157 | N = 2688 | N = 690 | N = 354 | N = 135 |
Number of responders with work-related MSD | N = 203 | N = 100 | N = 93 | N = 114–115 | N = 252 | N = 157 | N = 1515–1648 | N = 690 | N = 354 | N = 135 |
Bending or twisting forward | 48.5% (98) | 45.8% (46) | 3.3% (3) | 62.6% (72) | - | 77.7% (122) | 56% (893) | 61.3% (423) | - | - |
Lifting or transferring dependent patients | 52.4% (106) | 50.8% (51) | 5.5% (5) | 67.8% (78) | - | 80.3% (126) | 56% (908) | 48.8% (337) | - | - |
Working in the same position for a long time | 47.6% (97) | 55.1% (55) | 8.8% (8) | 71.3% (82) | - | 73.2% (115) | 67% (1085) | 87.8% (606) | - | 88.9% (120) |
Treating a large number of patients in 1 day | 41% (83) | 44.9% (45) | - | 83.5% (96) | - | 90.4% (142) | 67% (1081) | 68.7% (474) | - | - |
Performing the same task over and over | 22.4% (45) | 14.4% (14) | 53% (49) | 52.2% (60) | 90% (227) | 86.6% (136) | 73% (1203) | 74.4% (513) | - | 37.8% (51) |
Working in an awkward/cramped position | 35.2% (71) | 33.1% (33) | - | 64.6% (73) | 70% (176) | 81.5% (128) | 44% (691) | 72.3% (499) | - | 88.9% (120) |
Performing manual therapy techniques | 32.7% (66) | 40% (40) | 23% (21) | 67.8% (78) | - | 72.0% (113) | 49% (777) | 69.3% (478) | - | - |
Unanticipated sudden movement or fall by patient | 21.8% (44) | 28.8% (29) | - | 40.9% (47) | - | 66.9% (105) | 39% (618) | 42.0% (290) | - | - |
Carrying or moving heavy materials/equipment/patient | 42.4% (86) | 42.4% (42) | - | 55.7% (64) | - | 64.3% (101) | 30% (464) | 42.0% (290) | - | - |
Working when physically fatigued/in an injured state | 29.6% (60) | 32.2% (32) | 38.2% (36) | 52.2% (60) | - | 77.7% (122) | 52% (823) | 72.6% (501) | 58% (205) | - |
Assisting patients with gait activities | 17.2% (35) | 12.7% (13) | - | 35.7% (41) | - | 61.1% (96) | 37% (582) | 72.3% (499) | - | - |
Lack of rest breaks during the day | 31.4% (64) | 39% (39) | - | 61.7% (71) | - | 89.8% (141) | 41% (644) | 44.4% (306) | 76% (269) | - |
Working at or near physical limits | 20.3% (41) | 23.7% (24) | - | 46.9% (54) | - | 64.3% (101) | 44% (686) | 53.5% (369) | - | - |
Working with confused or agitated patients | 10% (20) | 16% (16) | - | 28.9% (33) | - | 62.4% (98) | 25% (384) | 42.0% (290) | - | - |
Inappropriate training in injury prevention | 12.1% (25) | 27.1% (27) | - | 29.6% (34) | - | 42.7% (67) | 14% (212) | 38.8% (268) | - | - |
Reaching or working away from your body | 41.2% (84) | 31.6% (32) | - | 17.4% (20) | - | 56.1% (88) | 51% (800) | 55.8% (385) | - | - |
Work scheduling (overtime, irregular shifts, length of workday) | 26% (53) | 33.9% (34) | 43% (40) | 3.5% (5) | - | 62.4% (98) | 18% (271) | 47.4% (327) | - | - |
Forceful exertion | - | - | - | - | - | - | - | - | - | 44.4% (60) |
Okuyucu et al. [4] | Anap et al. [9] | Tinubu et al. [23] | McLeod et al. [46] | Chung et al. [10] | Muaidi and Shanb [22] | Cromie et al. [17] | Glover et al. [8] | Anyfantis and Biska [35] | Adegoke et al. [33] | Liang et al. [6] | |
---|---|---|---|---|---|---|---|---|---|---|---|
Profession | Midwives | Nurses | Nurses | Osteopaths | PT | PT | PT | PT | PT | PT | Surgeons |
Number of responders | N = 59 | N = 228 | N = 118 | N = 160 | N = 157 | N = 690 | N = 536 | N = 2688 | N = 252 | N = 120 | N = 354 |
Number of responders with work-related MSD | N = 50 | N = 203 | N = 100 | N = 93 | N = 157 | N = 690 | N = 298–512 | N = 1100–1825 | N = 252 | N = 115 | N = 354 |
Medication | 62% (31) | - | - | - | - | - | - | - | - | - | 22% (78) |
Visiting a physician | 38% (19) | - | - | - | - | - | - | 39% (705) | 33% (83) | - | - |
Be rested due to injury | - | - | - | 33.7% (31) | - | - | - | 32% (580) | - | - | - |
Officially reported the injury | - | - | - | - | - | - | - | 16% (286) | - | - | - |
Alteration of working habits | - | - | - | - | - | - | - | 9% (152) | - | - | - |
Limitation of contact time with patients | - | - | - | 28.2% (26) | - | - | - | 10% (169) | 3% (8) | - | - |
Considering changing their job | - | - | - | 9% (8) | - | - | - | 1% (11) | - | - | - |
Modified treatment technique | - | - | - | - | - | - | - | 59% (1057) | 12% (30) | - | - |
Sought PT formally or informally from a colleague | - | - | - | - | - | - | - | 61% (1087) | - | - | - |
I get someone else to help me handle a heavy patient | - | 57.1% (116) | 50.4% (50) | - | - | 64.2% (443) | 86.9% (352) | - | - | 76.5% (88) | - |
I use physical therapist assistants to perform physically stressful tasks | - | - | - | - | - | - | 32.9% (98) | - | - | - | - |
I modify patient’s position/my position | - | 41.2% (84) | 40.3% (40) | 40.4% (38) | 51.6% (81) | 91.9% (634) | 98.2% (503) | 8% (146) | 25% (63) | 91.3% (165) | - |
I use other body part in order to perform manual treatment/nurse procedure | - | 19.2% (39) | 20.2% (20) | - | 51.6% (81) | 94.6% (653) | 80.9% (372) | - | - | 50.4% (58) | - |
I adjust plinth/bed height prior to the treatment of a patient | - | 18.3% (37) | 21.8% (22) | - | 47.1% (74) | 97.8% (675) | 95.4% (455) | - | - | 69.5% (80) | - |
I select techniques/procedure that will not cause or aggravate discomfort | - | 23.2% (47) | 30.5% (30) | 60.7% (56) | 30.6% (48) | 98.2% (678) | 77.4% (366) | - | 15% (38) | 80% (92) | - |
I warm up and stretch before performing my work manual techniques, nurse duties | - | 16.2% (33) | 32.8% (33) | - | 14.0% (22) | 68.2% (471) | 20.5% (96) | - | - | 28.7% (33) | - |
I get someone else to help me handle a heavy patient | - | - | - | - | 13.4% (21) | 67.5% (528) | - | - | - | - | - |
I pause regularly so I can stretch and change posture | - | 10.2% (21) | 14.3% (14) | 27% (25) | 7.0% (11) | 84.2% (581) | 78.0% (393) | - | 10% (25) | 75.7% (87) | - |
I stop a treatment if it causes or aggravates my discomfort | - | 28.1% (57) | 33.6% (34) | - | 7.0% (11) | 82.8% (571) | 71.9% (343) | - | - | 67.5% (78) | - |
I use electrical therapy instead of manual therapy to avoid stressing an injury | - | - | - | - | 5.7% (9) | - | 24.5% (96) | - | - | 48.7% (56) | - |
I modify my nursing procedure in order to avoid stressing an injury | - | 50.2% (102) | 45.4% (45) | - | - | - | - | - | - | - | - |
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High Quality | Medium Quality | Low Quality | |
---|---|---|---|
Attar [31] | Adams et al. [32] | Adegoke et al. [33] | - |
Glover et al. [8] | Alrowayeh et al. [34] | Anap et al. [9] | |
Anton et al. [5] | Anyfantis and Biska [35] | ||
Asghari et al. [36] | Ayers et al. [37] | ||
Campo et al. [38] | Choobineh et al. [39] | ||
Chung et al. [10] | Cromie et al. [17] | ||
Hayes et al. [40] | Jang et al. [41] | ||
Kee and Seo [18] | Khan and Yee Chew [42] | ||
Kierklo et al. [43] | Knudsen et al. [44] | ||
Leggat and Smith [45] | Liang et al. [6] | ||
McLeod et al. [46] | Muaidi and Shanb [22] | ||
Munabi et al. [3] | Okuyucu et al. [4] | ||
Okuyucu et al. [47] | Pugh et al. [48] | ||
Rabiei et al. [49] | Ribeiro et al. [50] | ||
Smith et al. [51] | Szeto et al. [52] | ||
Szymańska [53] | Tinubu et al. [23] | ||
Vieira et al. [54] | Yeung et al. [55] |
Autors | Objective | Study Details | Prevalence | Studied Parameters | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Main Body Area | |||||||||||||||||
Neck | Upper Back | Mid Back | Lower Back | Shoulders | Elbows/Forearms | Wrists/Hands/Fingers | Hips/Thighs | Knees | Ankles/Feet | Whole Body | |||||||
Adegoke et al., 2008 [33] | Investiagtion of MSD prevalence, risk factors, and treatment among Nigerian physiotherapists | Population | Physiotherapists | Male/female | 63.5%/36.5% | 31.1% | 14.3% | - | 69.8% | 22.2% | 5.6% | 20.6% | 6.3% | 15.9% | 9.5% | - | |
N-participant | 120 | Age (year, mean ± SD) | 33.7 ± 6.8 | ||||||||||||||
Response rate | 58% | Country | Nigeria | ||||||||||||||
Alrowayeh et al., 2010 [34] | Investigation of MSD prevalence among physical therapists in the State of Kuwait | Population | Physical therapists | Male/female | 53%/47% | 20.2% | 19.0% | - | 32.0% | 12.6% | 3.7% | 10.8% | 3.3% | 10.8% | 6.1% | - | |
N-participant | 212 | Age (year, mean ± SD) | 36.5 ± 9.1 | ||||||||||||||
Response rate | 63% | Country | State of Kuwait | ||||||||||||||
Anyfantis et al., 2017 [35] | Investiagtion of MSD prevalence and risk factors among Greek physiotherapists | Population | Physical therapists | Male/female | 52.4%/47.6% | 41.3% | 49.8% | - | 62.9% | 48.6% | 36.5% | 43.3% | 37.8% | 42.9% | 33.3% | - | |
N-participant | 252 | Age (year, mean ± SD) | 42.18 ± 9.21 | ||||||||||||||
Response rate | 79.00% | Country | Greece | ||||||||||||||
Campo et al., 2008 [38] | Investigation of 1-year MSD prevalence and effects of risk factors in United States | Population | Physical therapists | Male/female | 28.8%/71.2% | 4.9% | 2.4% | - | 6.6% | 3.2% | 1.4% | 5.3% | 2.3% | 2.1% | 2.2% | 20.7% | |
N-participant | 881 | Age (year, mean ± SD) | 40.3 | ||||||||||||||
Response rate | 67.00% | Country | United States | ||||||||||||||
Chung et al. 2013 [10] | Investiagtion of MSD prevalence, risk factors, and treatment among Korean physical therapists | Population | Physiotherapists | Male/female | 52.9%/47.1% | 28.7% | - | 53.5% | - | 15.9% | 45.2% | 7.0% | 33.8% | 7.6% | 8.9% | 22.3% | |
N-participant | 157 | Age (year, mean ± SD) | 29.45 ± 4.14 | ||||||||||||||
Response rate | 67.10% | Country | Korea | ||||||||||||||
Cromie et al. 2000 [17] | Investiagtion of MSDs prevalence, specialty areas, risk factors, and treatment among Australian therapists | Population | Physiotherapists | Male/female | 22%/78% | 12 month | 47.6% | - | 62.5% | - | 41% | 22.9% | 13.2% | 21.80% | 33.60% | 7.3% | 11.2% |
N-participant | 536 | Age (year, mean ± SD) | 38 | ||||||||||||||
Response rate | 68% | Country | Australia | ||||||||||||||
Glover et al. 2005 [8] | Investiagtion of MSDs prevalence among physiotherapists, physiotherapy assistants and physiotherapy students in the UK | Population | Physiotherapists | Male/female | 14%/86% | 12 months | 25.7% | - | 37.2% | - | 18.4% | 14.8% | 5.5% | 13% | 17.80% | 4.8% | 7.8% |
N-participant | 2688 | Age (year, mean ± SD) | 39.50 ± 12.07 | ||||||||||||||
Response rate | 73% | Country | UK | Career | 33% | - | 48% | - | 23% | 20% | 8% | 17% | 23.00% | 6% | 10% | ||
Jang et al. 2006 [41] | Investigation of 12-month MSD prevalence and risk factors among massage practitioners in Taiwan | Population | Massage therapists | Male/female | 68.9%/31.1% | 12 months | 25.5% | - | 19.3% | 11.2% | 19.3% | 31.7% | 23.6% | 28.60% | 50.30% | 6.8% | 13% |
N-participant | 161 | Age (year, mean ± SD) | 37.7 ± 10.7 | ||||||||||||||
Response rate | 82% | Country | Taiwan | ||||||||||||||
Muaidi et al. 2016 [22] | Investigation of MSD prevalence, causes, and impact among physical therapists in the Kingdom of Saudi Arabia | Population | Physiotherapists | Male/female | 59.1%/40.9% | 12 months | 26.5% | - | 46.5% | - | 2.9% | 12.2% | 10.2% | 16.40% | 20.10% | 8% | 10.9% |
N-participant | 690 | Age (year, mean ± SD) | - | ||||||||||||||
Response rate | 69% | Country | Kingdom of Saudi Arabia | ||||||||||||||
Vieira et al. 2015 [54] | Investigation of MSD rates and characteritics among physical therapists according to their specialty and setting in United States | Population | Physiotherapists | Male/female | 32%/68% | 12 months | 61% | - | 66% | - | 35% | 42% | 15% | 36% | - | 23% | 36% |
N-participant | 122 | Age (year, mean ± SD) | 43 ± 12 | ||||||||||||||
Response rate | n/a | Country | United States | ||||||||||||||
Anap et al., 2013 [9] | Investigation of MSD prevalence, job risk factors, and treatment among hospital nurses in India. | Population | Nurses | Male/female | n/a | 12 months | 31.1% | 10.5% | - | 48.2% | 34.6% | 1.9% | - | 1.6% | 29.0% | 7.6% | 81.0% |
N-participant | 228 | Age (year, mean ± SD) | 31.4 | ||||||||||||||
Response rate | 89.10% | Country | India | ||||||||||||||
Asghari et al., 2019 [36] | Investigation of MSD occurrence and risk factors among operator room nurses in Iran | Population | Nurses | Male/female | 19.7%/80.3% | 12 months | 44.9% | 33.2% | - | 61.9% | 33.3% | 19.0% | 31.3% | 23.8% | 60.5% | 55.8% | 92.5% |
N-participant | 144 | Age (year, mean ± SD) | 34.6 ± 6.6 | ||||||||||||||
Response rate | 100% | Country | Iran | ||||||||||||||
Attar et al., 2014 [31] | Investigation of MSD frequency and risk factors among nursing personnel in Saudi Arabia | Population | Nurses | Male/female | 4.5%/95.5% | 12 months | 20.0% | - | 5.0% | 65.7% | 29.0% | 3.0% | 10.0% | 16.5% | 21.0% | 41.5% | - |
N-participant | 200 | Age (year, mean ± SD) | 34.9 ± 8.1 | ||||||||||||||
Response rate | 100.00% | Country | Saudi Arabia | ||||||||||||||
Choobineh et al., 2006 [39] | Investigation of MSD prevalence and relationship between perceived demands and reported MSDs among hospital nurses in Iran | Population | Nurses | Male/female | 15.3%/84.7% | 12 months | 36.4% | 46.4% | - | 54.9% | 39.8% | 17.9% | 39.3% | 29.3% | 48.4% | 52.1% | - |
N-participant | 641 | Age (year, mean ± SD) | 32.03 ± 8.02 | ||||||||||||||
Response rate | 100% | Country | Iran | ||||||||||||||
Kee and Sao, 2007 [18] | Investigation of MSD prevalence based on intensity among Korean nurses | Population | Nurses | Male/female | 0%/100% | 12 months | 17.3% | 12.9% | - | 23.4% | 27.2% | 7.4% | 21.6% | 9.9% | 24.7% | 17.3% | 56.8% |
N-participant | 162 | Age (year, mean ± SD) | 29.9 ± 6.3 | 12 months - Moderate | 15.4% | 10.5% | - | 20.4% | 25.3% | 6.2% | 17.9% | 8.6% | 22.8% | 15.4% | 53.7% | ||
Response rate | 100% | Country | Korea | 12 months - High | 10.5% | 4.9% | - | 9.9% | 17.3% | 4.3% | 11.7% | 5.6% | 15.4% | 11.1% | 45.7% | ||
Munabi et al., 2014 [3] | Investiagtion of MSD prevalence and risk factors among nursing professionals in Uganda | Population | Nurses | Male/female | 14.3%/85.7% | 12 months | 36.9% | 35.8% | - | 61.9% | 32.6% | 15.4% | 29.1% | 27.9% | 37.1% | 38.1% | 80.8% |
N-participant | 741 | Age (year, mean ± SD) | 35.4 ± 10.7 | ||||||||||||||
Response rate | 85.40% | Country | Uganda | ||||||||||||||
Pugh et al., 2020 [48] | Investigation of MSD severity from pre-registration to 12-month registered nurses in Australia | Population | Nurses | Male/female | 12%/88% | 12 months | 35.5% | 11.3% | - | 53.2% | 32.3% | 3.2% | 16.1% | 9.7% | 17.7% | 11.3% | - |
N-participant | 111 | Age (year, mean ± SD) | 29.7 ± 11.2 | ||||||||||||||
Response rate | 100% | Country | Australia | Career | 44.0% | 17.0% | - | 63.0% | 30.0% | 7.0% | 21.0% | 12.0% | 18.0% | 28.0% | - | ||
Ribeiro et al., 2016 [50] | Investigation of MSD nurses’ self-reported symptoms and risk factors in primary health care | Population | Nurses | Male/female | 16%/84% | 12 months | 50.1% | 40.9% | - | 63.1% | 37.8% | 7.2% | 28.4% | 8.9% | 25.2% | 26.4% | - |
N-participant | 409 | Age (year, mean ± SD) | 39.5 ± 8.8 | ||||||||||||||
Response rate | 5.4% | Country | Portugal | ||||||||||||||
Smith et al., 2004 [51] | Investigation of MSD prevalence and risk factors among Chinese profesionnal nurses by department and body area | Population | Nurses | Male/female | 0%/100% | 12 months | 42.8% | 38.9% | - | 56.7% | 38.9% | 10.0% | 27.8% | 22.8% | 31.1% | 34.4% | 70.0% |
N-participant | 180 | Age (year, mean ± SD) | 32.7 ± 7.9 | ||||||||||||||
Response rate | 84.10% | Country | China | ||||||||||||||
Tinubu et al., 2010 [23] | Investiagtion of MSD prevalence, risk factors, and treatment among Nigerian nurses | Population | Nurses | Male/female | 2.5%/97.5% | 12 months | 28.0% | 16.8% | - | 44.1% | 12.6% | 7.1% | 16.2% | 3.4% | 22.4% | 10.2% | - |
N-participant | 118 | Age (year, mean ± SD) | 36.4 ± 7.7 | ||||||||||||||
Response rate | 80% | Country | Nigeria | ||||||||||||||
Yeung et al., 2005 [55] | Investigation of MSD prevalence and risk factors among nurses in Hong Kong | Population | Nurses | Male/female | 0%/100% | 12 months | 19.6% | 22.7% | - | 42.3% | 20.6% | 7.2% | 17.5% | 20.6% | 29.9% | 19.6% | - |
N-participant | 97 | Age (year, mean ± SD) | 35.0 ± 7.0 | ||||||||||||||
Response rate | 100% | Country | Hong Kong | ||||||||||||||
Anton et al., 2002 [5] | Investigation of carpal tunnel syndrom and other MSD pervalence among dental hygienists in United States | Population | Dental hygienists | Male/female | n/a | 12-months | 68.5% | 67.4% | - | 56.8% | 60.0% | 21.1% | 69.5% | 19.0% | 13.7% | 15.8% | - |
N-participant | 95 | Age (year, mean ± SD) | 37.6 ± 7.9 | ||||||||||||||
Response rate | 100.00% | Country | United States | ||||||||||||||
Ayers et al., 2009 [37] | Investigation of MSD prevalence and occupational health status of New Zealand dentists | Population | Dentists | Male/female | 68%/32% | 12-months | 59.0% | 30.0% | - | 57.0% | 45.0% | 10.0% | 25.0% | 15.0% | 21.0% | 13.0% | - |
N-participant | 566 | Age (year. mean ± SD) | n/a | ||||||||||||||
Response rate | 77.00% | Country | New Zealand | ||||||||||||||
Hayes et al., 2009 [40] | Investigation of MSD prevalance among dental hygiene students in Australia | Population | Dental Hygienist | Male/female | 5.6%/94.4% | 64.3% | 41.3% | - | 57.9% | 48.4% | 7.1% | 42.1% | 11.9% | 26.2% | 12.7% | - | |
N-participant | 126 | Age (year, mean ± SD) | 26.4 ± 6.2 | ||||||||||||||
Response rate | 71.60% | Country | Australia | ||||||||||||||
Khan and Yee Chew, 2013 [42] | Investigation of MSD prevalence among dental students in Malaysia | Population | Dental students | Male/female | 26%/74% | 82.0% | - | 64.0% | 26.0% | 23.0% | 42.0% | - | - | - | - | ||
N-participant | 575 | Age (year, mean ± SD) | n/a | ||||||||||||||
Response rate | 81.00% | Country | Malaysia | ||||||||||||||
Kierklo et al., 2011 [43] | Investigation of MSD symptoms and prevalence among dentists in northeast Poland | Population | Dentists | Male/female | 11.8%/88.2% | 47.0% | 20.0% | - | 32.9% | 20.1% | 15.1% | 29.2% | 23.3% | 16.0% | 15.0% | - | |
N-participant | 220 | Age (year, mean ± SD) | n/a | ||||||||||||||
Response rate | 100.00% | Country | Poland | ||||||||||||||
Leggat et al., 2006 [42] | Investigation of MSD impact among dentists in Australia | Population | Dentists | Male/female | 73.3%/26.7% | 12-months | 57.5% | 34.4% | - | 53.7% | 53.3% | 18.0% | 33.7% | 12.6% | 18.9% | 11.6% | - |
N-participant | 283 | Age (year, mean ± SD) | 45.2 ± 11.9 | ||||||||||||||
Response rate | 73.10% | Country | Australia | ||||||||||||||
Rabiei et al., 2011 [49] | Investigation of MSD prevalence among dentists in Iran | Population | Dentists | Male/female | 64.1%/35.9% | 12 months | 43.0% | - | - | 35.8% | 25.0% | 6.0% | 25.0% | 10.8% | 19.6% | 8.7% | - |
N-participant | 92 | Age (year, mean ± SD) | 30.1 ± 8.7 | ||||||||||||||
Response rate | 58.00% | Country | Iran | ||||||||||||||
Szymanska 2002 [53] | Investigation of MSD prevalance, risk factors, and treatment among Polish dentists | Population | Dentists | Male/female | 10.8%/89.2% | 12-months | 56.3% | - | - | 60.1% | 37.3% | 25.4% | 44.0% | 47.8% | - | ||
N-participant | 268 | Age (year, mean ± SD) | n/a | ||||||||||||||
Response rate | n/a | Country | Poland | ||||||||||||||
Adams et al., 2013 [32] | Investigation of MSD prevalence in gynecologic surgeons in United States | Population | Gynecologists | Male/female | 50.3%/49.7% | 12-months | 72.9% | 61.6% | - | 75.6% | 66.6% | - | 60.9% | - | - | - | - |
N-participant | 495 | Age (year, mean ± SD) | 47 | ||||||||||||||
Response rate | 7.90% | Country | United States | ||||||||||||||
Knudsen et al., 2014 [44] | Investigation of MSD prevalence and risk factors among resident orthopaedic surgeons in United States | Population | Orthopedists | Male/female | 75%/25% | 12-months | 59.4% | 35.5% | - | 54.8% | 34.4% | 3.1% | 19.4% | 9.7% | 22.6% | 22.6% | - |
N-participant | 32 | Age (year, mean ± SD) | 29.5 ± 2.5 | ||||||||||||||
Response rate | 82.00% | Country | United States | ||||||||||||||
Liang et al., 2012 [6] | Investigation of MSD prevalence and role of ergonomics among dermatologists in United States | Population | Dermatologists | Male/female | 71%/29% | 12-months | 65.2% | 53.3% | - | 63.1% | 61.5% | 13.8% | 36.9% | - | 24.8% | 20.5% | - |
N-participant | 354 | Age (year, mean ± SD) | 44.5 ± 9.0 | ||||||||||||||
Response rate | 43.00% | Country | United States | ||||||||||||||
Szeto et al.. 2009 [52] | Investigation of MSD prevalence and physical and psychosocial factors among general surgeons in Hong Kong | Population | Surgeons | Male/female | 82.2%/17.8% | 12-months | 82.9% | 52.6% | - | 68.1% | 57.8% | - | - | - | - | - | - |
N-participant | 135 | Age (year, mean ± SD) | 35.2 | ||||||||||||||
Response rate | 27.00% | Country | Hong Kong | ||||||||||||||
Okuyucu et al., 2017 [4] | Investigation of MSD prevalencecharacteristics, and severity among amongst obstetrics and gynaecology practitioners in United Kingdom | Population | Obstetrics and gynaecology trainees | Male/female | n/a | 12-months | 8.0% | 30.0% | 18.0% | 18.0% | 13.0% | - | |||||
N-participant | 59 | Age (year, mean ± SD) | 32.7 | ||||||||||||||
Response rate | 76.00% | Country | United Kingdom | ||||||||||||||
Okuyucu et al., 2019 [47] | Investigatation of MSD prevalence, severity and psychosocial risk factors among midwives in United Kingdom | Population | Midwives | Male/female | 3.5%/96.5% | 12-months | 45.3% | 29.5% | - | 71.4% | 44.5% | 12.3% | 25.6% | 28.9% | 31.8% | 22.9% | - |
N-participant | 630 | Age (year, mean ± SD) | 42.76 ± 11.4 | ||||||||||||||
Response rate | n/a | Country | United Kingdom | ||||||||||||||
McLeod et al., 2017 [46] | Investigation of MSD prevalence, risk factors and treatment among Australian osteopaths | Population | Osteopaths | Male/female | 38.7%/61.3% | 12-months | 6.7% | 12.2% | - | 13.3% | 11.1% | 12.2% | 41.1% | 2.2% | 1.1% | - | - |
N-participant | 160 | Age (year, mean ± SD) | 36.4 | ||||||||||||||
Response rate | 9.00% | Country | Australia |
Overall MSD Prevalence by Healthcare Profession | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Dentists | Midwives | Nurses | Osteopaths | Physiotherapists | Surgeons | ||||||
Anton et al. [5] | 93.0% | Okuyucu et al. [4] | 90.0% | Anap et al. [9] | 81.0% | McLeod et al. [46] | 58.0% | Adegoke et al. [33] | 91.3% | Liang et al. [6] | 90.0% |
Kierklo et al. [43] | 92.0% | Okuyucu et al. [47] | 92.0% | Asghari et al. [36] | 92.5% | Alrowayeh et al. [34] | 47.6% | Szeto et al. [52] | 83.0% | ||
Leggat and Smith [45] | 87.2% | Choobineh et al. [39] | 84.4% | Campo et al. [38] | 28.0% | ||||||
Kee and Seo [18] | 56.8% | Chung et al. [10] | 92.4% | ||||||||
Munabi et al. [3] | 80.8% | Cromie et al. [17] | 91.0% | ||||||||
Pugh et al. [48] | 75.8% | Glover et al. [8] | 68.0% | ||||||||
Ribeiro et al. [50] | 89.0% | Jang et al. [41] | 71.4% | ||||||||
Smith et al. [51] | 70.0% | Muaidi and Shanb [22] | 47.7% | ||||||||
Tinubu et al. [23] | 84.4% | Vieira et al. [54] | 96.0% |
Main Body Area | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Neck | Upper Back | Mid Back | Lower Back | Shoulders | Elbows/Forearms | Wrists/Hands/Fingers | Hips/Thighs | Knees | Ankles/Feet | ||
Physiotherapists | Africa * | 31.1% | 14.3% | - | 69.8% | 22.2% | 5.6% | 20.6% | 6.3% | 15.9% | 9.5% |
Asia | 25.2% | 19,0% | 39.8% | 21.6% | 12.7% | 23.2% | 12.9% | 20.5% | 22.2% | 7.5% | |
America | 33.0% | 2.4% | 66,0% | 6.6% | 19.1% | 21.7% | 10.2% | 19.2% | 2.1% | 12.6% | |
Oceania * | 47.6% | - | 62.5% | - | 41.0% | 22.9% | 13.2% | 21.8% | 33.6% | 7.3% | |
Europe | 33.5% | 49.8% | 37.2% | 62.9% | 33.5% | 25.7% | 24.4% | 25.2% | 30.4% | 19.1% | |
Nurses | Africa | 32.5% | 26.3% | - | 53,0% | 22.6% | 11.3% | 22.7% | 15.7% | 29.8% | 24.2% |
Asia | 30.3% | 27.4% | 5.0% | 50.4% | 31.9% | 9.5% | 24.6% | 17.8% | 34.9% | 32.6% | |
America | - | - | - | - | - | - | - | - | - | - | |
Oceania * | 35.5% | 11.3% | - | 53.2% | 32.3% | 3.2% | 16.1% | 9.7% | 17.7% | 11.3% | |
Europe * | 50.1% | 40.9% | - | 63.1% | 37.8% | 7.2% | 28.4% | 8.9% | 25.2% | 26.4% | |
Dentists | Africa | - | - | - | - | - | - | - | - | - | - |
Asia | 62.5% | 82,0% | - | 64.0% | 26.0% | 23.0% | 42.0% | - | - | - | |
America * | 68.5% | 67.4% | - | 56.8% | 60.0% | 21.1% | 69.5% | 19.0% | 13.7% | 15.8% | |
Oceania | 60.3% | 35.2% | - | 56.2% | 48.9% | 11.7% | 33.6% | 13.2% | 22.0% | 12.4% | |
Europe | 51.7% | 20,0% | - | 46.5% | 28.7% | 20.3% | 36.6% | 35.6% | 31.9% | 31.4% | |
Surgeons | Asia * | 82.9% | 52.6% | - | 68.1% | 57.8% | - | - | - | - | - |
America | 70.1% | 50.8% | - | 65.4% | 55.1% | 8.5% | 39.1% | 9.7% | 23.7% | 21.6% |
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Jacquier-Bret, J.; Gorce, P. Prevalence of Body Area Work-Related Musculoskeletal Disorders among Healthcare Professionals: A Systematic Review. Int. J. Environ. Res. Public Health 2023, 20, 841. https://doi.org/10.3390/ijerph20010841
Jacquier-Bret J, Gorce P. Prevalence of Body Area Work-Related Musculoskeletal Disorders among Healthcare Professionals: A Systematic Review. International Journal of Environmental Research and Public Health. 2023; 20(1):841. https://doi.org/10.3390/ijerph20010841
Chicago/Turabian StyleJacquier-Bret, Julien, and Philippe Gorce. 2023. "Prevalence of Body Area Work-Related Musculoskeletal Disorders among Healthcare Professionals: A Systematic Review" International Journal of Environmental Research and Public Health 20, no. 1: 841. https://doi.org/10.3390/ijerph20010841
APA StyleJacquier-Bret, J., & Gorce, P. (2023). Prevalence of Body Area Work-Related Musculoskeletal Disorders among Healthcare Professionals: A Systematic Review. International Journal of Environmental Research and Public Health, 20(1), 841. https://doi.org/10.3390/ijerph20010841