Correspondence to Shegaw Geze Tenaw; [email protected]
Strengths and limitations of this study
To our knowledge, this is the first study on obstetrics care providers in Ethiopia
The study is a multicenter study.
The information on the experience of LBP for the last 12 months is highly dependent on the participants' memory, as a result, there might be under or overestimation due to recall bias.
Introduction
Currently, musculoskeletal disorders (MSDs) have become one of the main issues for healthcare workers. They are the second most cause of physical disability worldwide.1 2 Among MSDs, low back pain (LBP) is the most disabling cause and is widespread in the workplace.1
LBP refers to pain or discomfort in the spinal area localised between the 12th rib and the inferior gluteal folds with or without radiation to the lower extremities.3 It is categorised as mild, moderate and severe based on Visual Analogue Scale measurements ranging from 0 to 10 and experienced as aching, stabbing, sharp or dull, specified.3
Given the rapid transition to the industrialised world, LBP inflicts a significant economic burden on healthcare resources, lost working days, loss of productivity and increased disability.4 5 LBP causes 10.7% of total years lost due to disability.6 And work-related LBP causes 818 000 disability-adjusted life-years lost annually in the world.7 In addition, LBP results abstain from work, functional limitation and shortage of staff among obstetrics care providers. A study of Australian midwives reported that an annual sick leave prevalence rate of 24% and functional incapacity (unable to continue working activities) were 59% due to LBP.8
The overall prevalence of LBP was 24% among populations and 58% among healthcare workers worldwide.9 Globally, LBP is the most prevalent MSD that affects 70%–85% of the adult population at some point in their lifetime.10 In the low-income and middle-income countries, 80% of the population experienced LBP during some period during their lifetime.11 MSDs are a significant health problem at work among obstetrics care providers. Among 729 midwives with MSDs in Australia, 61% had LBP.8 In the UK, the prevalence of LBP among midwives was 70%.12
Obstetrics care providers give care to women during pregnancy, childbirth and after birth.13 Obstetrics care providers also transfer women frequently and keep sustained periods of stooping. They work in an awkward posture, bending and trunk flexion while giving care during labour.14 Due to those extreme postures or positions and heavy workload during the childbirth process, obstetrics care providers are subject to physical constraints leading to LBP.14 15
Work-related factors (pulling, pushing and working in extreme positions to handle patients: women and baby at the same time), psychological factors (job stress) and organisational factors (lack of improved equipment support) were predictors of LBP among obstetrics care providers.14 16 17
To date, all studies in Ethiopia17–20 and several studies around the globe21 about LBP on healthcare workers focus mainly on nurses, while others on physicians.22 23 Given the variations in practice and environment within healthcare professionals,24 such studies failed to include the perspectives of obstetrics care providers. The objective of this study was to assess the prevalence and associated factors of LBP among obstetrics care providers in public hospitals in Amhara Regional State, Ethiopia.
Methods
Study design and settings
An institution-based cross-sectional study was conducted from 2 January 2021 to 15 February 2021. The study settings were nine public hospitals of Amhara Regional State, Ethiopia: Debre Birhan, Felegehiwot, TibebeGhion, Debre Markos, Gondar, Dessie, and Injibara, Debre Tabor, and Woldiya Hospitals. Amhara regional state is one of the ten regional states of Ethiopia. Its capital city is Bahir Dar, which is 551 km from the capital city of Ethiopia.
Participants
The source populations were obstetrics care providers working in public hospitals in the Amhara region. The study populations were obstetrics care providers available in selected public hospitals in the Amhara region during the study period. Obstetrics cares providers of the selected public hospitals, except those who were pregnant and given birth in the last 12 months, participated in the study.
Sample size and sampling technique
A single population proportion formula with the assumptions of a 95% of a CI, a 5% margin of error and a 50% proportion of LPB, was used to calculate the sample size. By adding a 10% non-response rate final sample size became 422. There were 815 obstetrics care providers in sleeted hospitals. The individual samples were allocated proportionally to each hospital. Lists of obstetrics care providers were obtained from the human resource department of each hospital and used as a sampling frame. Then, individual samples were selected using a computer-assisted random generator.
Data collection tool and procedure
A structured pretested questionnaire was used containing six thematic categories designed to establish LBP prevalence, sociodemographic characteristics, organisational factors, work-related factors, Visual Analogue Scale, and personal and psychosocial factors. The Standardised Nordic Musculoskeletal Questionnaire25 was used to assess the prevalence of LBP in the last 12 months. The other parts of questioner, such as sociodemographic characteristics, organisational factors, work-related factors, Visual Analogue Scale, and personal and psychosocial factors, were adapted from previous literature.14 16–18 22
The 12-month prevalence of LBP was dichotomised according to participants’ specifications of the length of time they had experienced LBP. We classified it into ‘yes,’ if the participant experienced ache, pain or discomfort in the low back for at least 1 day (≥1 day) and ‘no’ if the participant never (0 days) suffered from LBP. The intensity of LBP was rated using a 10-point Visual Analogue Scale.26 Visual Aanalogue Scale scores of 1–3 indicate mild LBP, 4–6 moderate LBP and 7–10 severe LBP in accordance with the previous study.18
Data were collected through a self-administered technique by giving the questionnaires to the study participants to fill and return on the next day. The training was given to data collectors and supervisors on study tools and data collection approaches. Filled questionnaires were checked for consistencies and completeness, and corrections were made accordingly.
Data measurement and study variables
The dependent variable is LBP—defined as any pain felt in the low back region for at least 1 day in the last twelve months following previous studies.18 27
Mild LBP—pain intensity on Visual Analogue Scale scores 1–3.18
Moderate LBP—pain intensity on visual analogue scale scores 4–6.18
Severe LBP—pain intensity on Visual Analogue Scale scores 7–10.18
The independent variables were (1) sociodemographic characteristics such as age, gender, marital status and educational status (2) personal and psychosocial characteristics such as working hours per week, body mass index, a pattern of sleep per day, job stress, alcohol drinking habit, regular physical exercise and work experience (3) organisational and work-related characteristics such as bending/twisting while working, standing >1 hour during a procedure, lifting manually heavyweight >10 kg, patient transfer, working while physically fatigue, availability of the assistive device and back-care training.
Job stress
The workplace stress scale28 was used to assess participants' self-assessment on their feelings about their current work. To obtain a description of job stress participants were asked eight questions to indicate how often they had felt in their current job. Their responses were rated on a five-point scale, from 1 to 5: 1=never, 2=rarely, 3=sometimes, 4=often and 5=very often.28 The result scores for the workplace stress scale range between 5 and 40 points. Individuals with a workplace stress scale score above the mean (≥21) were classified as having Job stress per a previous study.29
Data management and analysis
Data entry was done using EpiData V.3.1 and exported to SPSS V.25 for analysis. Frequency tables and mean were used to describe the characteristics of the study participants for categorical and continuous variables, respectively. Bivariate analysis, crude OR with 95% CI, was used to see the association between each independent variable and LBP. Independent variables that yield p≤0.25 during bivariate analysis were included in the multivariable analysis. The strength of association was measured using an adjusted OR with a 95% CI. Model goodness of fitness was verified using the Hosmer-Lemeshow statistic (0.475). Ap<0.05 was a cut-off point to declare a significant statistical association.
Patient and public involvement
Patients or the public were not involved in the design, conduct, reporting or dissemination plans of our research.
Results
Sociodemographic characteristics
A total of 416 obstetrics care providers completed the questionnaire with a response rate of 98.6%. The mean age ±SD of participants was 30.04±3.61 years. In terms of gender, 230 (55.3%) of participants were females. In terms of marital status, 238 (57.2%) participants were married, and 12 (2.9%) were divorced (table 1).
Table 1Sociodemographic characteristics of obstetrics care providers working in public hospitals of Amhara Regional State, Ethiopia, 2021(n=416)
Variable | Category | Frequency | Per cent |
Age | 20–29 | 11 | 2.6 |
30–39 | 368 | 88.5 | |
≥40 | 37 | 8.9 | |
Gender | Female | 230 | 55.3 |
Male | 186 | 44.7 | |
Marital status | Married | 238 | 57.2 |
Divorced | 12 | 2.9 | |
Single | 166 | 39.9 | |
Educational status | Diploma | 55 | 13.2 |
Degree | 303 | 72.9 | |
Masters and above | 58 | 13.9 |
Personal and psychosocial characteristics
Overall, 59.1% of obstetrics care providers worked more than 40 hours a week, and 68.8% slept less than 8 hours per day. Of the study participants, 170 (40.7%) do have a habit of alcohol drinking. One hundred and fifty-six (37.5%) participants had job stress, and 21 (5%) had a body mass index of 25 kg/m2 or above. Among 416 participants, one-half (50.7%) of obstetrics care providers did have regular physical exercise habits at least three times per week for 30 min (table 2).
Table 2Personal and psychosocial characteristics of obstetrics care providers working in public hospitals of Amhara Regional State, Ethiopia, 2021(n=416)
Variable | Category | Frequency | Per cent |
Working >40 hours/week | No | 246 | 59.1 |
Yes | 170 | 40.9 | |
Body mass index | <18.5 | 67 | 16.1 |
18.5–24.9 | 328 | 78.8 | |
>25 | 21 | 5.0 | |
The pattern of sleep per day | <8 hours | 286 | 68.8 |
≥8 hours | 130 | 31.3 | |
Job stress | No | 260 | 62.5 |
Yes | 156 | 37.5 | |
Alcohol drinking habit | No | 246 | 59.1 |
Yes | 170 | 40.9 | |
Regular physical exercise ≥3 days/week | No | 205 | 49.3 |
Yes | 211 | 50.7 | |
Work experience | <2 years | 75 | 18.0 |
2–5 years | 219 | 52.6 | |
>=5 years | 122 | 29.3 |
Organisational and work-related characteristics
The majority, 83% of participants, bent or twisted while working in their unit, whereas 70.2% stood longer than 1 hour while performing obstetrics procedures. Three-forth (75.7%) of study participants lifted heavyweight greater than 10 kg, and 72.6% of participants transferred patients frequently (table 3).
Table 3Organisational and work-related characteristics of obstetrics care providers working in public hospitals of Amhara Regional State, Ethiopia, 2021(n=416)
Variables | Category | Frequency | Per cent |
Bending/twisting while working | Yes | 353 | 84.9 |
No | 63 | 15.1 | |
Standing >1 hour during the procedure | No | 124 | 29.8 |
Yes | 292 | 70.2 | |
Lifting manually heavyweight >10 kg | No | 101 | 24.3 |
Yes | 315 | 75.7 | |
Frequently transfer patients | No | 114 | 27.4 |
Yes | 302 | 72.6 | |
Working while physically fatigue | No | 291 | 70.0 |
Yes | 125 | 30.0 | |
Assistive device availability | No | 228 | 54.8 |
Yes | 188 | 45.2 | |
Back-care training | No | 333 | 80.0 |
Yes | 83 | 20.0 |
Prevalence of LBP and related characteristics
A total of 273 (65.6%; 95% CI 61.5% to 70.2%) obstetrics care providers reported that they experienced LBP in the last 12 months. Of those with LBP, 177 (64.8%) were females. More than half, 163 (59.7%) of participants who experienced LBP reported that they experienced moderate pain intensity and 74 (27.1%) experienced severe pain. Of these with LBP, 171 (62.6%) of participants’ pain occurred every three to 5 days a week. Sixty-nine (25.3%) obstetrics care providers reported they experienced LBP radiating to their extremities (table 4).
Table 4Low back pain experience among obstetrics care providers working in public hospitals of Amhara Regional State, Ethiopia, 2021
Variables | Category | Frequency | Per cent |
LBP in the last 12 months (n=416) | Yes | 273 | 65.6 |
No | 143 | 34.4 | |
Pattern of radiation (n=273) | No radiation | 204 | 74.7 |
Radiate to extremities | 69 | 25.3 | |
Frequency of LBP (n=273) | Infrequent (less than 3 days per week | 86 | 31.6 |
Frequent 3–5 days per week) | 171 | 62.6 | |
Daily pain | 16 | 5.9 | |
The intensity of the pain (n=273) | Mild | 36 | 13.2 |
Moderate | 163 | 59.7 | |
Severe | 74 | 27.1 |
Factors associated with LBP
Explanatory variables included in the adjusted analysis were age, gender, regular physical exercise habit, job stress, standing longer than 1 hour, working hours per week, body mass index, patient transfer, working while physically fatigued, availability of the assistive device and back-care training. Of those variables, female gender, not having regular physical exercise habits, job stress, standing longer than 1 hour during procedures, and working more than 40 hours a week were significantly associated with LBP. Female obstetrics care providers were 2.33 (AOR 2.33, 95% CI 1.344 to 4.038) times more likely to have LBP than males. Not having regular physical exercise habits were 8.26 (AOR 8.26, 95% CI 4.36 to 15.66) times more likely to have LBP. The odds of experiencing LBP were higher (AOR 2.21, 95% CI 1.24 to 3.92) among obstetrics care providers who had job stress. The odds of LBP were also higher (AOR 2.04 95% CI 1.14 to 3.66) among obstetrics care providers who stand longer than 1 hour while doing procedures. In addition, obstetrics care providers who work greater than 40 hours per week were 2.20 (AOR 2.20, 95% CI 1.09 to 4.45) more likely to have LBP than their counterparts (table 5).
Table 5Factors associated with LBP among obstetrics care providers working in public hospitals in Amhara Regional State, Ethiopia 2021 (n=416)
Variable | Categories | LBP | 95% CI | ||
Yes | No | COR | AOR | ||
Gender | Female | 117 | 53 | 3.131 (2.056 to 4.768) | 2.33 (1.34 to 4.04)* |
Male | 96 | 90 | 1.0 | 1.0 | |
Regular exercise | No | 184 | 21 | 12.011 (7.086 to 20.358) | 8.26 (4.36 to 15.66)† |
Yes | 89 | 122 | 1.0 | 1.0 | |
Job stress | Yes | 118 | 38 | 2.104 (1.353 to 3.271) | 2.21 (1.24 to 3.92)‡ |
No | 155 | 105 | 1.0 | 1.0 | |
Standing >1 hour during the procedure | Yes | 202 | 90 | 1.675 (1.086 to 2.586) | 2.04 (1.14 to 3.66)§ |
No | 71 | 53 | 1.0 | 1.0 | |
Working >40 hours/week | Yes | 201 | 47 | 5.702 (3.670 to 8.860) | 2.20 (1.09 to 4.45)¶ |
No | 72 | 96 | 1.0 | 1.0 |
Bold, significant statistical association
*P=0.003
†P<0.001
‡P=0.007
§P=0.016
¶P<0.029
AOR, adjusted OR; COR, crude OR; LBP, low back pain.
Discussion
We assessed the prevalence and factors associated with LBP among obstetrics care providers working in public hospitals in the Amhara region. This study finding revealed that the prevalence of LBP was 65.6% (95% CI 61.5% to 70.2%) among obstetrics care providers in the last 12 months. Female gender, not having regular physical exercise habits, job stress, standing longer than 1 hour during procedures, and working more than 40 hours a week were significantly associated with LBP.
The prevalence of LBP in this study is comparable with study findings among nurses in western Ethiopia (63.6%)29 and the UK (70%).12 However, the prevalence of this study is higher than studies conducted among nurses in eastern Ethiopia (38.1%),19 Addis Ababa, Ethiopia (45.8%)18 and Malaysia 56.9%.30 Obstetrics care providers work in an awkward posture, sustained periods of stooping and bending while caring for the women during labour. These subject them to physical constraints leading to LBP.14 15 A previous study reported that working in an awkward posture increases the prevalence of LBP.19 The finding of this study is lower than study findings in Egypt (79%)31 and Nigeria (73%).32 The differences might be due to the difference in pain reporting culture between the study participants, the small sample size in those studies and lifestyle changes over time.
The prevalence of LBP in this study was higher among females than males. This finding is in line with studies in eastern Ethiopia (65%)19 and Nigerian and Ethiopian hospitals (65.7%).33 The variation could be physiological differences such as menstruation and pregnancy.34 35 The variation could also be anatomical differences between males and females and hormonal effects.
In this study, obstetrics care providers who reported regular physical exercise habits were 8.26 times more likely to experience LBP than their counterparts. This finding is consistent with the research done among nurses in Ethiopia and Turkey.27 36 Regular physical exercise habit improves the physical fitness of individuals and prevents easy fatigability of back muscles, thereby reducing the odds of LBP. Regular physical exercise also helps to normalise body mass index. El-Soud et al have shown that a body mass index greater than or equal to 25 kg/m2 was a risk for LBP.
Working more than 40 hours a week was associated with the experience of LBP (p=0.029). This finding is consistent with a study in the UK.24 Working longer hours a week was associated with the risk of obesity because of irregular eating patterns,37 38 thereby increasing the odds of LBP. However, another study in western Ethiopia showed no significant association between working hours and LBP.29
The odds of LBP were 2.21 times more likely among obstetrics care providers who had job stress than their counterparts. This finding is consistent with study finding in Addis Ababa public hospital.18 Stress increases muscle tension and physical fatigue. Fatigue negatively influences muscle receptors and finally on pain receptor area sensation, thereby increasing the odds of LBP. On the other hand, job stress was not significantly associated with LBP in a study in western Ethiopia.29 Since the information on the experience of LBP for the last 12 months highly depends on the participants’ memory, there might be under or overestimation due to recall bias.
Conclusion
Two-thirds of obstetrics care providers working in public hospitals in the Amhara region experienced LBP. Female gender, not having regular physical exercise habits, having job stress, standing longer while doing procedures, and working more than 40 hours a week were significantly associated with LBP. Providing rest periods, decreasing the working hours of obstetrics care providers in a week, and counselling on the importance of doing regular physical exercise helps to reduce the prevalence of LBP.
We want to thank the public hospitals of the Amhara region for giving us the necessary information, data collectors, and supervisors.
Data availability statement
Data are available on reasonable request. The data set used or analysed during this study is available from the corresponding author on reasonable request.
Ethics statements
Patient consent for publication
Not required.
Ethics approval
This study involves human participants and was approved by the Research Ethical Review Board of the College of Medicine and Health Sciences, Wolkite University in Ethiopia, (Ref no HSC/R/C/SE/PG/CO/412/2021) approved this study. We have submitted a support letter to each participating hospital and got permission. We also obtained Voluntary informed consent from each study participant. Data collection was anonymous to maintain the confidence of participants. Verbal informed consent was obtained from each study participant after explaining the purpose of the study. Participants gave informed consent to participate in the study before taking part.
Contributors BTZ: conceptualisation; data curation; formal analysis; investigation; resource; writing original draft. BCT: conceptualisation; formal analysis; investigation; methodology; writing-review and editing. MAE: conceptualisation; investigation; supervision; validation; writing-review and editing. YM: conceptualisation; formal analysis; investigation; resource; methodology; writing-review and editing. SGT: conceptualisation; investigation; supervision; resource; validation; writing original draft; writing-review and editing. All authors approved the final version of the manuscript. SGT is the guarantor of the study.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review Not commissioned; externally peer reviewed.
1 Vos T, Flaxman AD, Naghavi M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the global burden of disease study 2010. The Lancet 2012; 380: 2163–96. doi:10.1016/S0140-6736(12)61729-2
2 Brooks PM. The burden of musculoskeletal disease--a global perspective. Clin Rheumatol 2006; 25: 778–81. doi:10.1007/s10067-006-0240-3 http://www.ncbi.nlm.nih.gov/pubmed/16609823
3 Duthey B. Background paper 6.24 low back pain. Priority Medicines for Europe and the World Global Burden of Disease 2013; 2010: 1–29.
4 Meucci RD, Fassa AG, Faria NMX. Prevalência de DOR lombar crônica: revisão sistemática. Revista de Saúde Pública 2015; 49: 73.
5 Gouveia N, Rodrigues A, Eusébio M, et al. Prevalence and social burden of active chronic low back pain in the adult Portuguese population: results from a national survey. Rheumatol Int 2016; 36: 183–97. doi:10.1007/s00296-015-3398-7 http://www.ncbi.nlm.nih.gov/pubmed/26661091
6 Buchbinder R, Blyth FM, March LM, et al. Placing the global burden of low back pain in context. Best Pract Res Clin Rheumatol 2013; 27: 575–89. doi:10.1016/j.berh.2013.10.007 http://www.ncbi.nlm.nih.gov/pubmed/24315140
7 Punnett L, Prüss-Utün A, Nelson DI, et al. Estimating the global burden of low back pain attributable to combined occupational exposures. Am J Ind Med 2005; 48: 459–69. doi:10.1002/ajim.20232 http://www.ncbi.nlm.nih.gov/pubmed/16299708
8 Long MH, Bogossian FE, Johnston V. Functional consequences of work-related spinal musculoskeletal symptoms in a cohort of Australian midwives. Women Birth 2013; 26: e50–8. doi:10.1016/j.wombi.2012.09.005 http://www.ncbi.nlm.nih.gov/pubmed/23098669
9 Mehrdad R, Shams-Hosseini NS, Aghdaei S, et al. Prevalence of low back pain in health care workers and comparison with other occupational categories in Iran: a systematic review. Iran J Med Sci 2016; 41: 467. http://www.ncbi.nlm.nih.gov/pubmed/27853326
10 Hoy D, Bain C, Williams G, et al. A systematic review of the global prevalence of low back pain. Arthritis Rheum 2012; 64: 2028–37. doi:10.1002/art.34347 http://www.ncbi.nlm.nih.gov/pubmed/22231424
11 Keriri H. Prevalence and risk factors of low back pain among nurses in operating rooms, Taif, Saudi Arabia. Am J Res Commun 2013; 1: 25.
12 Okuyucu K, Gyi D, Hignett S, et al. Midwives are getting hurt: UK survey of the prevalence and risk factors for developing musculoskeletal symptoms. Midwifery 2019; 79: 102546. doi:10.1016/j.midw.2019.102546 http://www.ncbi.nlm.nih.gov/pubmed/31610361
13 Thompson JB, Fullerton JT, Sawyer AJ, et al. The International Confederation of midwives: global standards for midwifery education (2010) with companion guidelines. Midwifery 2011; 27: 409–16. doi:10.1016/j.midw.2011.04.001 http://www.ncbi.nlm.nih.gov/pubmed/21550149
14 Nowotny-Czupryna O, Naworska B, Brzęk A, et al. Professional experience and ergonomic aspects of midwives' work. Int J Occup Med Environ Health 2012; 25: 265–74. doi:10.2478/s13382-012-0034-6 http://www.ncbi.nlm.nih.gov/pubmed/22791592
15 Long MH, Bogossian FE, Johnston V. The prevalence of work-related neck, shoulder, and upper back musculoskeletal disorders among midwives, nurses, and physicians: a systematic review. Workplace Health Saf 2013; 61: 223–9. doi:10.1177/216507991306100506 http://www.ncbi.nlm.nih.gov/pubmed/23639038
16 Long MH, Johnston V, Bogossian FE. Helping women but hurting ourselves? neck and upper back musculoskeletal symptoms in a cohort of Australian midwives. Midwifery 2013; 29: 359–67. doi:10.1016/j.midw.2012.02.003 http://www.ncbi.nlm.nih.gov/pubmed/22410168
17 !!! INVALID CITATION !!!.
18 Belay MM, Worku A, Gebrie SA, et al. Epidemiology of low back pain among nurses working in public hospitals of Addis Ababa, Ethiopia. East Cent Afr J Surg 2016; 21: 113–31. doi:10.4314/ecajs.v21i1.139040
19 Mijena GF, Geda B, Dheresa M. Low back pain among nurses working at public hospitals in eastern Ethiopia. J Pain Res 2020; 13: 1349–57. doi:10.2147/JPR.S255254 32606901
20 Tefera B, Zeleke H, Abate A, et al. Magnitude of low back pain and associated factors among nurses working at intensive care unit in. Ethiopia: Amhara Region Public Hospitals, 2021.
21 !!! INVALID CITATION !!! [22-25].
22 Wang J, Cui Y, He L, et al. Work-Related musculoskeletal disorders and risk factors among Chinese medical staff of obstetrics and gynecology. Int J Environ Res Public Health 2017; 14: 562. doi:10.3390/ijerph14060562
23 Al-Ruwaili B, Khalil T. Prevalence and associated factors of low back pain among physicians working at King Salman armed forces Hospital, Tabuk, Saudi Arabia. Open Access Maced J Med Sci 2019; 7: 2807–13. doi:10.3889/oamjms.2019.787 http://www.ncbi.nlm.nih.gov/pubmed/31844441
24 Okuyucu K. Musculoskeletal disorders in midwives: prevalence, impact and contributory factors: Loughborough university, 2019.
25 Kuorinka I, Jonsson B, Kilbom A, et al. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 1987; 18: 233–7. doi:10.1016/0003-6870(87)90010-X http://www.ncbi.nlm.nih.gov/pubmed/15676628
26 Doshi P. How to assess pain? J Assoc Physicians India 2015; 63: 8–13. http://www.ncbi.nlm.nih.gov/pubmed/26529853
27 Deksisa Abebe A, Abebe AD, Gebrehiwot EM, Lema S. Prevalence of low back pain and associated risk factors among Adama hospital medical college staff, Ethiopia. European Journal of Preventive Medicine 2015; 3: 188–92. doi:10.11648/j.ejpm.20150306.15
28 TWPS S. The Marlin company, North Haven, Connecticut and the. Yonkers, New York: American Institute of Stress, 2001.
29 Mekonnen TH. Work-Related factors associated with low back pain among nurse professionals in East and West Wollega zones, Western Ethiopia, 2017: a cross-sectional study. Pain Ther 2019; 8: 239–47. doi:10.1007/s40122-019-0129-x http://www.ncbi.nlm.nih.gov/pubmed/31254256
30 Wong TS, Teo N, Kyaw MO. Prevalence and risk factors associated with low back pain among health care providers in a district hospital. Malays Orthop J 2010; 4: 23–8. doi:10.5704/MOJ.1007.004
31 El-Soud AMA, El-Najjar AR, El-Fattah NA, et al. Prevalence of low back pain in working nurses in Zagazig university hospitals: an epidemiological study. Egyptian Rheumatology and Rehabilitation 2014; 41: 109–15. doi:10.4103/1110-161X.140525
32 Sikiru L, Hanifa S. Prevalence and risk factors of low back pain among nurses in a typical Nigerian Hospital. Afr Health Sci 2010; 10: 26. http://www.ncbi.nlm.nih.gov/pubmed/20811521
33 Sikiru L, Shmaila H. Prevalence and risk factors of low back pain among nurses in Africa: Nigerian and Ethiopian specialized hospitals survey study. East Afr J Public Health 2009; 6: 22-5. doi:10.4314/eajph.v6i1.45737 http://www.ncbi.nlm.nih.gov/pubmed/20000059
34 Smith DR, Mihashi M, Adachi Y, et al. Menstrual disorders and their influence on low back pain among Japanese nurses. Ind Health 2009; 47: 301–12. doi:10.2486/indhealth.47.301 http://www.ncbi.nlm.nih.gov/pubmed/19531916
35 Borg-Stein J, Dugan SA. Musculoskeletal disorders of pregnancy, delivery and postpartum. Phys Med Rehabil Clin N Am 2007; 18: 459–76. doi:10.1016/j.pmr.2007.05.005 http://www.ncbi.nlm.nih.gov/pubmed/17678762
36 Sezgin D, Esin MN. Predisposing factors for musculoskeletal symptoms in intensive care unit nurses. Int Nurs Rev 2015; 62: 92–101. doi:10.1111/inr.12157 http://www.ncbi.nlm.nih.gov/pubmed/25440528
37 van Hooft SM, Dwarswaard J, Bal R, et al. What factors influence nurses' behavior in supporting patient self-management? an explorative questionnaire study. Int J Nurs Stud 2016; 63: 65–72. doi:10.1016/j.ijnurstu.2016.08.017 http://www.ncbi.nlm.nih.gov/pubmed/27598766
38 Han K, Trinkoff AM, Storr CL, et al. Job stress and work schedules in relation to nurse obesity. J Nurs Adm 2011; 41: 488–95. doi:10.1097/NNA.0b013e3182346fff http://www.ncbi.nlm.nih.gov/pubmed/22033319
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Abstract
Objectives
Although the study of low back pain (LBP) among healthcare workers in Ethiopia is becoming common, it mainly focused on nurses leaving obstetrics care providers aside. The objective of this study was to assess the prevalence and associated factors of LBP among obstetrics care providers in public hospitals in Amhara Regional State, Ethiopia.
Design
An institution-based cross-sectional study.
Settings
The study settings were nine public hospitals in Amhara Region.
Participants
Randomly selected 416 obstetrics care providers working in public hospitals in Amhara Region, Ethiopia.
Outcomes
The outcomes of this study were the prevalence of LBP in the last 12 months among obstetrics care providers and its associated factors.
Results
Overall, the prevalence of LBP was 65.6% (95% CI 61.5% to 70.2%) among obstetrics care providers in the last 12 months.
Female gender (AOR 2.33, 95% CI 1.344 to 4.038), not having regular physical exercise habits (AOR 8.26, 95% CI 4.36 to 15.66), job stress (AOR 2.21, 95% CI 1.24 to 3.92), standing longer while doing procedures (AOR 2.04, 95% CI 1.14 to 3.66) and working more than 40 hours a week (AOR 2.20, 95% CI 1.09 to 4.45) were significantly associated with LBP.
Conclusion
About two-thirds of obstetrics care providers working in public hospitals in the Amhara region reported LBP. The prevalence of LBP was higher among those who did not have regular physical exercise habits, had job stress, stood longer than 1 hour while doing procedures, worked more than 40 hours a week and female obstetrics care providers. Providing resting periods, decreasing the working hours of obstetrics care providers in a week, and counselling on the importance of doing regular physical exercise help to reduce the prevalence of LBP.
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