Factors associated with workplace fatigue among midwives in southern China: A multi-centre cross-sectional study.
China
fatigue
midwives
sleep quality
social support
Journal
Journal of nursing management
ISSN: 1365-2834
Titre abrégé: J Nurs Manag
Pays: England
ID NLM: 9306050
Informations de publication
Date de publication:
May 2020
May 2020
Historique:
received:
12
12
2019
revised:
13
03
2020
accepted:
20
03
2020
pubmed:
7
4
2020
medline:
18
2
2021
entrez:
7
4
2020
Statut:
ppublish
Résumé
To identify the level of workplace fatigue among midwives and factors influencing their fatigue. Midwives who play an important role in medical care are prone to experience workplace fatigue, which negatively affects their well-being and work quality. A multi-centre cross-sectional study was conducted among 666 Chinese midwives from 38 hospitals in March 2019. Data were collected by four questionnaires of self-designed demographic questions, the Pittsburgh Sleep Quality Index, the Social Support Self-Rating Scale and the 14-item Fatigue Scale. Descriptive statistics, univariate analysis and multiple linear regression were used to analyse the data. Midwives had moderate levels of fatigue with the mean scores of physical fatigue, mental fatigue and total fatigue being 9.53, 6.25 and 15.79, respectively. Multiple linear regression results showed that sleep quality, social support, job satisfaction, occupational injuries, adverse life events, frequency of irregular meals and employment type were statistically significant factors influencing fatigue among the participants. Physical and mental fatigue were generally common among midwives and were affected by personal-related and work-related factors, sleep quality and social support. Nurse administrators have the opportunity to advocate for improved health policy under the two children rule to prevent workplace fatigue amongst midwives.
Sections du résumé
AIMS
OBJECTIVE
To identify the level of workplace fatigue among midwives and factors influencing their fatigue.
BACKGROUND
BACKGROUND
Midwives who play an important role in medical care are prone to experience workplace fatigue, which negatively affects their well-being and work quality.
METHODS
METHODS
A multi-centre cross-sectional study was conducted among 666 Chinese midwives from 38 hospitals in March 2019. Data were collected by four questionnaires of self-designed demographic questions, the Pittsburgh Sleep Quality Index, the Social Support Self-Rating Scale and the 14-item Fatigue Scale. Descriptive statistics, univariate analysis and multiple linear regression were used to analyse the data.
RESULTS
RESULTS
Midwives had moderate levels of fatigue with the mean scores of physical fatigue, mental fatigue and total fatigue being 9.53, 6.25 and 15.79, respectively. Multiple linear regression results showed that sleep quality, social support, job satisfaction, occupational injuries, adverse life events, frequency of irregular meals and employment type were statistically significant factors influencing fatigue among the participants.
CONCLUSIONS
CONCLUSIONS
Physical and mental fatigue were generally common among midwives and were affected by personal-related and work-related factors, sleep quality and social support.
IMPLICATIONS FOR NURSING MANAGEMENT
CONCLUSIONS
Nurse administrators have the opportunity to advocate for improved health policy under the two children rule to prevent workplace fatigue amongst midwives.
Types de publication
Journal Article
Langues
eng
Pagination
881-891Subventions
Organisme : Social Development Guiding Project Fund from Fujian Science and Technology Department
ID : 2019Y0059
Informations de copyright
© 2020 John Wiley & Sons Ltd.
Références
Adriaenssens, J., De Gucht, V., Van Der Doef, M., & Maes, S. (2011). Exploring the burden of emergency care: Predictors of stress-health outcomes in emergency nurses. Journal of Advanced Nursing, 67(6), 1317-1328. https://doi.org/10.1111/j.1365-2648.2010.05599.x
Ang, S. Y., Uthaman, T., Ayre, T. C., Lim, S. H., & Lopez, V. (2019). A Photovoice study on nurses' perceptions and experience of resiliency. Journal of Nursing Management, 27(2), 414-422. https://doi.org/10.1111/jonm.12702
Arbour, M., Tanner, T., Hensley, J., Beardsley, J., Wika, J., & Garvan, C. (2019). Factors that contribute to excessive sleepiness in midwives practicing in the United States. Journal of Midwifery & Women's Health, 64(2), 179-185. https://doi.org/10.1111/jmwh.12945
Barker, L. M., & Nussbaum, M. A. (2011). Fatigue, performance and the work environment: A survey of registered nurses. Journal of Advanced Nursing, 67(6), 1370-1382. https://doi.org/10.1111/j.1365-2648.2010.05597.x
Buysse, D. J., Reynolds, C. F. 3rd, Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193-213. https://doi.org/10.1016/0165-1781(89)90047-4
Cai, S., Lin, H., Hu, X., Cai, Y. X., Chen, K., & Cai, W. Z. (2018). High fatigue and its associations with health and work related factors among female medical personnel at 54 hospitals in Zhuhai, China. Psychology, Health & Medicine, 23(3), 304-316. https://doi.org/10.1080/13548506.2017.1361038
Carolan, M., & Hodnett, E. (2007). 'With woman' philosophy: Examining the evidence, answering the questions. Nursing Inquiry, 14(2), 140-152. https://doi.org/10.1111/j.1440-1800.2007.00360.x
Chalder, T., Berelowitz, G., Pawlikowska, T., Watts, L., Wessely, S., Wright, D., & Wallace, E. P. (1993). Development of a fatigue scale. Journal of Psychosomatic Research, 37(2), 147-153.
Cohen, R., Leykin, D., Golan-Hadari, D., & Lahad, M. (2017). Exposure to traumatic events at work, posttraumatic symptoms and professional quality of life among midwives. Midwifery, 50, 1-8. https://doi.org/10.1016/j.midw.2017.03.009
The Joint Commission (TJC) Compliance. (2020). Environmental health and safety. Retrieved from https://www.vumc.org/safety/clinical/joint-commission-compliance#safetymanage
Da Silva, F. J., Felli, V. E., Martinez, M. C., Mininel, V. A., & Ratier, A. P. (2015). Association between work ability and fatigue in Brazilian nursing workers. Work (Reading, Mass.), 53(1), 225-232. https://doi.org/10.3233/wor-152241
Day-Stirk, F., McConville, F., Campbell, J., Laski, L., Guerra-Arias, M., Hoope-Bender, P. T., … de Bernis, L. (2014). Delivering the evidence to improve the health of women and newborns: State of the World’s Midwifery, report 2014. Reproductive Health, 11(1), 89. https://doi.org/10.1186/1742-4755-11-89
Fang, J. B., & Qiu, C. J. (2009). Research on occupational fatigue in nurses and the influencing factors. Journal of Nursing Science, 24(1), 1-4. (Chinese).
Fang, J., Qiu, C., Xu, H., & You, G. (2013). A model for predicting acute and chronic fatigue in Chinese nurses. Journal of Advanced Nursing, 69(3), 546-558. https://doi.org/10.1111/j.1365-2648.2012.06029.x
Geiger-Brown, J., Trinkoff, A., & Rogers, V. E. (2011). The impact of work schedules, home, and work demands on self-reported sleep in registered nurses. Journal of Occupational and Environmental Medicine, 53(3), 303-307. https://doi.org/10.1097/JOM.0b013e31820c3f87
Gifkins, J., Johnston, A., & Loudoun, R. (2018). The impact of shift work on eating patterns and self-care strategies utilised by experienced and inexperienced nurses. Chronobiology International, 35(6), 811-820. https://doi.org/10.1080/07420528.2018.1466790
Han, K., Trinkoff, A. M., & Geiger-Brown, J. (2014). Factors associated with work-related fatigue and recovery in hospital nurses working 12-hour shifts. Workplace Health & Safety, 62(10), 409-414. https://doi.org/10.3928/21650799-20140826-01
Herrero, S. G., Saldana, M. A., Rodriguez, J. G., & Ritzel, D. O. (2012). Influence of task demands on occupational stress: Gender differences. Journal of Safety Research, 43(5-6), 365-374. https://doi.org/10.1016/j.jsr.2012.10.005
Hildingsson, I., Westlund, K., & Wiklund, I. (2013). Burnout in Swedish midwives. Sexual & Reproductive Healthcare: Official Journal of the Swedish Association of Midwives, 4(3), 87-91. https://doi.org/10.1016/j.srhc.2013.07.001
Ho, J. C., Lee, M. B., Chen, R. Y., Chen, C. J., Chang, W. P., Yeh, C. Y., & Lyu, S. Y. (2013). Work-related fatigue among medical personnel in Taiwan. Journal of the Formosan Medical Association =. Taiwan Yi Zhi, 112(10), 608-615. https://doi.org/10.1016/j.jfma.2013.05.009
Jones, G., Hocine, M., Salomon, J., Dab, W., & Temime, L. (2015). Demographic and occupational predictors of stress and fatigue in French intensive-care registered nurses and nurses' aides: A cross-sectional study. International Journal of Nursing Studies, 52(1), 250-259. https://doi.org/10.1016/j.ijnurstu.2014.07.015
Junghaenel, D. U., Christodoulou, C., Lai, J. S., & Stone, A. A. (2011). Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative. Journal of Psychosomatic Research, 71(3), 117-123. https://doi.org/10.1016/j.jpsychores.2011.04.007
Kant, I. J., Bultmann, U., Schroer, K. A., Beurskens, A. J., Van Amelsvoort, L. G., & Swaen, G. M. (2003). An epidemiological approach to study fatigue in the working population: The Maastricht Cohort Study. Occupational and Environmental Medicine, 60(Suppl 1), i32-39. https://doi.org/10.1136/oem.60.suppl_1.i32
Kelly, L., Runge, J., & Spencer, C. (2015). Predictors of Compassion Fatigue and Compassion Satisfaction in Acute Care Nurses. Journal of Nursing Scholarship, 47(6), 522-528. https://doi.org/10.1111/jnu.12162
Koblinsky, M., Moyer, C. A., Calvert, C., Campbell, J., Campbell, O. M. R., Feigl, A. B., … Langer, A. (2016). Quality maternity care for every woman, everywhere: A call to action. Lancet (London, England), 388(10057), 2307-2320. https://doi.org/10.1016/s0140-6736(16)31333-2
Leinweber, J., & Rowe, H. J. (2010). The costs of 'being with the woman': Secondary traumatic stress in midwifery. Midwifery, 26(1), 76-87. https://doi.org/10.1016/j.midw.2008.04.003
Lian, Y., Xiao, J., Zhang, C., Guan, S., Li, F., Ge, H., & Liu, J. (2016). A comparison of the relationships between psychosocial factors, occupational strain, and work ability among 4 ethnic teacher groups in China. Archives of Environmental & Occupational Health, 71(2), 74-84. https://doi.org/10.1080/19338244.2014.956859
Liu, X. C., Tang, M. Q., Hu, L., Wang, A. Z., Wu, H. X., Zhao, G. F., … Li, W. S. (1996). Reliability and validity of the Pittsburgh sleep quality index Chinese. Journal of Psychiatry, 29(2), 103-107. (Chinese)
Mao, F. Q., Zhang, P., Li, J., Wang, X. M., Zou, H., Gao, L., … Li, Z. T. (2006). A case-control study on the risk factors of chronic fatigue syndrome in doctors and nurses. Chinese Journal of Behavioral Medical Science, 15(4), 355-357. (Chinese)
Matheson, A., O'Brien, L., & Reid, J. A. (2014). The impact of shiftwork on health: A literature review. Journal of Clinical Nursing, 23(23-24), 3309-3320. https://doi.org/10.1111/jocn.12524
McDonald, G., Jackson, D., Wilkes, L., & Vickers, M. H. (2012). A work-based educational intervention to support the development of personal resilience in nurses and midwives. Nurse Education Today, 32(4), 378-384. https://doi.org/10.1016/j.nedt.2011.04.012
McDonald, G., Jackson, D., Wilkes, L., & Vickers, M. H. (2013). Personal resilience in nurses and midwives: Effects of a work-based educational intervention. Contemporary Nurse, 45(1), 134-143. https://doi.org/10.5172/conu.2013.45.1.134
Mizuno, M., Kinefuchi, E., Kimura, R., & Tsuda, A. (2013). Professional quality of life of Japanese nurses/midwives providing abortion/childbirth care. Nursing Ethics, 20(5), 539-550. https://doi.org/10.1177/0969733012463723
Mollart, L., Newing, C., & Foureur, M. (2009). Midwives' emotional wellbeing: Impact of conducting a structured antenatal psychosocial assessment (SAPSA). Women and Birth : Journal of the Australian College of Midwives, 22(3), 82-88. https://doi.org/10.1016/j.wombi.2009.02.001
Nourbakhsh, B., Julian, L., & Waubant, E. (2016). Fatigue and depression predict quality of life in patients with early multiple sclerosis: A longitudinal study. European Journal of Neurology, 23(9), 1482-1486. https://doi.org/10.1111/ene.13102
Ruggiero, J. S. (2005). Health, work variables, and job satisfaction among nurses. The Journal of Nursing Administration, 35(5), 254-263. https://doi.org/10.1097/00005110-200505000-00009
Sagherian, K., Clinton, M. E., Abu-Saad Huijer, H., & Geiger-Brown, J. (2017). Fatigue, work schedules, and perceived performance in bedside care nurses. Workplace Health & Safety, 65(7), 304-312. https://doi.org/10.1177/2165079916665398
Sagherian, K., Zhu, S., Storr, C., Hinds, P. S., Derickson, D., & Geiger-Brown, J. (2018). Bio-mathematical fatigue models predict sickness absence in hospital nurses: An 18 months retrospective cohort study. Applied Ergonomics, 73, 42-47. https://doi.org/10.1016/j.apergo.2018.05.012
Samaha, E., Lal, S., Samaha, N., & Wyndham, J. (2007). Psychological, lifestyle and coping contributors to chronic fatigue in shift-worker nurses. Journal of Advanced Nursing, 59(3), 221-232. https://doi.org/10.1111/j.1365-2648.2007.04338.x
Shen, J., Barbera, J., & Shapiro, C. M. (2006). Distinguishing sleepiness and fatigue: Focus on definition and measurement. Sleep Medicine Reviews, 10(1), 63-76. https://doi.org/10.1016/j.smrv.2005.05.004
Tang, J. C. (2014). Vigilance against midwife gap in "two child era" in China. China Health Human Resources, 6, 14. (Chinese)
Tremaine, R., Dorrian, J., Paterson, J., Neall, A., Piggott, E., Grech, C., & Pincombe, J. (2013). Actigraph estimates of the sleep of Australian midwives: The impact of shift work. Biological Research for Nursing, 15(2), 191-199. https://doi.org/10.1177/1099800411422249
Wang, H. M., & Jia, J. J. (2013). study on correlation among fatigue status, job burnout and coping styles of midwives. Chinese General Practice Nursing, 11(30), 2844-2846. (Chinese)
Wolf, L. A., Perhats, C., Delao, A., & Martinovich, Z. (2017). The effect of reported sleep, perceived fatigue, and sleepiness on cognitive performance in a sample of emergency nurses. The Journal of Nursing Administration, 47(1), 41-49. https://doi.org/10.1097/nna.0000000000000435
Wong, W. S., & Fielding, R. (2010). Construct validity of the Chinese version of the Chalder Fatigue Scale in a Chinese community sample. Journal of Psychosomatic Research, 68(1), 89-93. https://doi.org/10.1016/j.jpsychores.2009.05.008
Xiao, S. Y. (1994). The theoretical basis and research application of Social Support Rating Scale. Journal of Clinical Psychiatry, 4(2), 98-100.
Ye, L. X. (2018). Cross-sectional investigation analysis on fatigue condition, job burnout and turnover intention of midwives. Chinese Journal of Hospital Statistics, 25(5), 364-366. https://doi.org/10.3969/j.issn.1006-5253.2018.05.016
Younan, L., Clinton, M., Fares, S., Jardali, F. E., & Samaha, H. (2019). The relationship between work-related musculoskeletal disorders, chronic occupational fatigue, and work organization: A multi-hospital cross-sectional study. Journal of Advanced Nursing, 75(8), 1667-1677. https://doi.org/10.1111/jan.13952
Yu, F., Somerville, D., & King, A. (2019). Exploring the impact of 12-hour shifts on nurse fatigue in intensive care units. Applied Nursing Research, 50, 151191. https://doi.org/10.1016/j.apnr.2019.151191
Zeng, Y., & Hesketh, T. (2016). The effects of China's universal two-child policy. Lancet (London, England), 388(10054), 1930-1938. https://doi.org/10.1016/s0140-6736(16)31405-2
Zhang, X., Lee, S. Y., Luo, H., & Liu, H. (2019). A prediction model of sleep disturbances among female nurses by using the BP-ANN. Journal of Nursing Management, 27(6), 1123-1130. https://doi.org/10.1111/jonm.12782
Zhu, L. P. (2013). Training and management of midwives at home and abroad. Maternal and Child Health Care of China, 28(11), 1711-1713. (Chinese)