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BMC Public Health
Published in: BMC Public Health 1/2019

Open Access 01-12-2019 | Research article

Relationship between psychosocial working conditions, stress perception, and needle-stick injury among healthcare workers in Shanghai

Authors: Chao Wang, Li Huang, Jue Li, Junming Dai

Published in: BMC Public Health | Issue 1/2019

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Abstract

Background

The present study aims to identify the association between psychosocial working conditions, global stress perception, and needle-stick injury among Chinese healthcare workers. It also endeavors to detect the mediating effects of global stress perception.

Methods

A total of 1956 valid samples were collected from eight teaching hospitals in Shanghai, China. A self-reported questionnaire was administered to participants after obtaining their written consent. Structural equation model was used to analyze the relationship between study variables.

Results

Most of the correlation coefficients between psychosocial conditions at work, stress perception, and needle-stick injury are of statistical significance ranging from 0.004 to 0.869. Results of the internal consistency test shows that Cronbach’s α is between 0.770 and 0.925. All three models for effect analysis demonstrated satisfactory global goodness and acceptable path loadings. Psychosocial working conditions and stress perception were directly associated with events of needle-stick injury, as 0.39 (95%CI: 0.32 to 0.48) and 0.32 (95%CI: 0.22 to 0.39), respectively. Furthermore, stress perception had been proved to have a mediating effect (0.25, 95%CI: 0.19 to 0.31) between psychosocial working condition and needle-stick injury, which occupied over one-third of the total effect.

Conclusions

Both stressful psychosocial working conditions and negative stress perception could increase the risk of needle-stick injury that occurs among healthcare workers. Management of stress perception could reduce health risk brought by stressful psychosocial working conditions.
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Literature
1.
2.
Deisenhammer S, Radon K, Nowak D, et al. Needlestick injuries during medical training. J Hosp Infect. 2006;63(3):263–7.PubMedCrossRef
3.
Martins A, Coelho AC, Vieira M, et al. Age and years in practice as factors associated with needlestick and sharps injuries among health care workers in a Portuguese hospital. Accid Anal Prev. 2012;47(47):11–5.PubMedCrossRef
4.
Shah R, Mehta HK, Fancy M, et al. Knowledge and awareness regarding needle stick injuries among health care workers in tertiary care hospital in Ahmedabad, Gujarat. Natl J Commun Med. 2010;1(2):93–6.
5.
Tanzman ES, Manchester RA. Risks to health care workers in developing countries. N Engl J Med. 2001;345(26):1916.PubMedCrossRef
6.
Hui J, Ying C. Clinical investigation on the current situation of needle injury in nursing interns. Chin J Mod Drug Appl. 2014;9:245–6 (in Chinese).
7.
Hongjun Q, Yuexian S, Wei S, Qiuxia W. Knowledge and attitude of nursing interns towards needle stick injury before clinical practice. Chin J Indect Control. 2016;15(10):791–5 (in Chinese).
8.
Bekele T, Gebremariam A, Kaso M, et al. Attitude, reporting behavour and management practice of occupational needle stick and sharps injuries among hospital healthcare workers in bale zone, Southeast Ethiopia: a cross-sectional study. J Occup Med Toxicol. 2015;10(1):42.PubMedPubMedCentralCrossRef
9.
Choi LY, Torres R, Syed S, et al. Sharps and Needlestick injuries among medical students, surgical residents, faculty, and operating room staff at a single academic institution. J Surg Educ. 2017;74(1):131–6.PubMedCrossRef
10.
Guilbert JJ. The world health report 2002 - reducing risks, promoting healthy life. Educ Health. 2003;16(2):230.CrossRef
11.
Joseph NM, Elan S, Vadivu S, et al. Needlestick injuries among healthcare workers of a tertiary care hospital in South India. Infect Control Hosp Epidemiol. 2014;35(1):103–5.PubMedCrossRef
12.
Ilhan M, Durukan EE, Turkcuoglu S, et al. Long working hours increase the risk of sharp and needlestick injury in nurses: the need for new policy implication. J Adv Nurs. 2006;56(5):563–8.PubMedCrossRef
13.
Gholami A, Borji A, Lotfabadi P, et al. Risk factors of Needlestick and sharps injuries among healthcare workers. Int J Hosp Res. 2013;2(1):31–8.
14.
Walle L, Abebe E, Tsegaye M, et al. Factors associated with needle stick and sharp injuries among healthcare workers in Felege Hiwot referral hospital, Bahir Dar, Northwest Ethiopia: facility based cross-sectional survey. Int J Infect Control. 2013;9(4):171–2.CrossRef
15.
Yonezawa Y, Yahara K, Miura M, et al. Risk factors for and circumstances of needlestick and sharps injuries of doctors in operating rooms: a study focusing on surgeries using general anesthesia at Kurume University hospital. Jpn J Infect Chemother. 2015;21(12):837–41.CrossRef
16.
Ruotsalainen J, Serra C, Marine A, Verbeek J. Systematic review of interventions for reducing occupational stress in health care workers. Scand J Work Environ Health. 2008;34(3):169–78.PubMedCrossRef
17.
Michie S, Williams S. Reducing work related psychological ill health and sickness absence: a systematic literature review. Occup Environ Med. 2003;60(1):3–9.PubMedPubMedCentralCrossRef
18.
Embriaco N, Azoulay E, Barrau K, et al. High level of burnout in intensivists: prevalence and associated factors. Am J Respir Crit Care Med. 2007;175(7):686–92.PubMedCrossRef
19.
Zadow AJ, Dollard MF, Mclinton SS, et al. Psychosocial safety climate, emotional exhaustion, and work injuries in healthcare workplaces. Stress Health. 2017;33(5):558–69.PubMedCrossRef
20.
Wallgren LG, Hanse JJ. Job characteristics, motivators and stress among information technology consultants: a structural equation modeling approach. Int J Ind Ergonom. 2007;37(1):51–9.CrossRef
21.
Vanagas G, Bihariaxelsson S. Cross-sectional study on quality of life, work demands and psychosocial stress of Lithuanian general practitioners. Eur J Gen Pract. 2004;10(4):169–70.PubMedCrossRef
22.
Nordin RB, Abdin EB, Lin N. Working conditions, self-perceived stress, anxiety, depression and quality of life: a structural equation modelling approach. BMC Public Health. 2008;8(1):48.CrossRef
23.
Durán A, Extremera N, Rey L, Fernández-Berrocal P, Montalbán FM. Predicting academic burnout and engagement in educational settings: assessing the incremental validity of perceived emotional intelligence beyond perceived stress and general self-efficacy. Psicothema. 2006;18(6):158–64.PubMed
24.
Li J, Yang W, Liu P, Xu Z, Cho SI. Psychometric evaluation of the Chinese (mainland) version of job content questionnaire: a study in university hospitals. Ind Health. 2004;42(2):260–7.PubMedCrossRef
25.
Li J, Yang W, Cheng Y, Siegrist J, Cho SI. Effort-reward imbalance at work and job dissatisfaction in Chinese healthcare workers: a validation study. Int Arch Occup Environ Health. 2005;78(3):198–204.PubMedCrossRef
26.
Van der Doef M, Maes S. The job demand-control (−support) model and psychological well-being: a review of 20 years of empirical research. Work Stress. 1999;13(2):87–114.CrossRef
27.
Ng SM. Validation of the 10-item Chinese perceived stress scale in elderly service workers: one-factor versus two-factor structure. BMC Psychol. 2013;1(1):1–8.CrossRef
28.
Verdam MGE, Oort FJ, Sprangers MAG. Item bias detection in the hospital anxiety and depression scale using structural equation modeling: comparison with other item bias detection methods. Qual Life Res. 2017;26(6):1439–50.PubMedCrossRef
29.
Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51(6):1173–82.PubMedCrossRef
30.
Mackinnon DP, Lockwood CM, Williams J. Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivar Behav Res. 2004;39(1):99.CrossRef
31.
Williams J, Mackinnon DP. Resampling and distribution of the product methods for testing indirect effects in complex models. Struct Equ Model. 2008;15(1):23–51.CrossRef
32.
Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879–91.PubMedCrossRef
33.
Clarke S. The effect of challenge and hindrance stressors on safety behavior and safety outcomes: a meta-analysis. J Occup Health Psychol. 2012;17(4):387–97.PubMedCrossRef
34.
Nahrgang JD, Morgeson FP, Hofmann DA. Safety at work: a meta-analytic investigation of the link between job demands, job resources, burnout, engagement, and safety outcomes. J Appl Psychol. 2011;96(1):71–94.PubMedCrossRef
35.
Mehrdad R, Atkins EH, Sharifian SA, Pouryaghoub G. Psychosocial factors at work and blood-borne exposure among nurses. Int J Occup Environ Med. 2014;5(1):32–9.PubMedPubMedCentral
36.
Loerbroks A, Shang L, Angerer P, Li J, Group CNS. Psychosocial work characteristics and needle stick and sharps injuries among nurses in China: a prospective study. Int Arch Occup Environ Health. 2015;88(7):925–32.PubMedCrossRef
37.
Roberti JW, Harrington LN, Storch EA. Further psychometric support for the 10-item version of the perceived stress scale. J Coll Couns. 2006;9(2):135–47.CrossRef
38.
Zhen W, Chen J, Boyd JE, et al. Psychometric properties of the Chinese version of the perceived stress scale in policewomen. PLoS One. 2011;6(12):e28610.CrossRef
39.
Mitchell AM, Crane PA, Kim Y. Perceived stress in survivors of suicide: psychometric properties of the perceived stress scale. Res Nurs Health. 2008;31(6):576–85.PubMedCrossRef
40.
Massad LS, Agniel D, Minkoff H, et al. Effect of stress and depression on the frequency of squamous intraepithelial lesions. J Low Genit Tract Dis. 2011;15(1):42–7.PubMedPubMedCentralCrossRef
41.
Reis RS, Hino AA, Añez CR. Perceived stress scale: reliability and validity study in Brazil. J Health Psychol. 2010;15(1):107–14.PubMedCrossRef
42.
Plaisier I, Bruijn JGMD, Graaf RD, et al. The contribution of working conditions and social support to the onset of depressive and anxiety disorders among male and female employees. Soc Sci Med. 2007;64(2):401–10.PubMedCrossRef
43.
Klassen RM, Chiu MM. Effects on teachers' self-efficacy and job satisfaction: teacher gender, years of experience, and job stress. J Educ Psychol. 2010;102(3):741–56.CrossRef
44.
Gardiner DM, Tiggemann M. Gender differences in leadership style, job stress and mental health in male - and female - dominated industries. J Occup Organ Psychol. 2011;72(3):301–15.CrossRef
45.
Humpel N, Caputi P. Exploring the relationship between work stress, years of experience and emotional competency using a sample of Australian mental health nurses. J Psychiatr Ment Health Nurs. 2001;8(5):399–403.PubMedCrossRef
46.
Mcgilton KS, Mcgillis HL, Boscart V, Brown M. Effects of director of care support on job stress and job satisfaction among long-term care nurse supervisors. Nurs Leadersh. 2007;20(3):52–66.CrossRef
47.
Myers DJ, Lipscomb HJ. Informal social status among coworkers and risk of work-related injury among nurse aides in long-term care. Am J Ind Med. 2010;53(5):514–23.PubMedCrossRef
Metadata
Title
Relationship between psychosocial working conditions, stress perception, and needle-stick injury among healthcare workers in Shanghai
Authors
Chao Wang
Li Huang
Jue Li
Junming Dai
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-7181-7

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