A cross sectional study of organizational factors and their impact on job satisfaction and emotional burnout in a group of Australian nurses: infection control practitioners
BMC Health Services Research volume 21, Article number: 441 (2021)
Infection control practitioners (ICPs) are a group of specialized nurses fundamental to effective healthcare infection prevention and control initiatives. Relative to other groups of nurses much less is known about their working conditions. Organizational factors may impact ICPs’ levels of job dissatisfaction and emotional job burnout and, subsequently, their quality of practice. We measure a range of organizational factors to document the working conditions of ICPs and show how these are linked to job satisfaction and emotional burnout in a sample of Australian ICPs.
We conducted a cross sectional study using an online survey. All employed ICPs in 50 of the largest public hospitals in Australia were invited to participate. One hundred and fifty three ICPs completed the survey.
ICPs are moderately to highly satisfied with their job but show high levels of emotional burnout, time pressure and cognitive demands. Low job satisfaction was associated with less job control, low perceived organizational support and poor communication. In contrast, emotional burnout was associated with high time pressure and cognitive demands coupled with poor communication.
This study provides new evidence about the organizational context of ICPs in Australia, and about the factors that impact on job satisfaction and emotional burnout. These findings may be used to modify national infection prevention and control programs to suit local organizational contexts. Further research is needed to determine the precise nature of these relationships and the downstream impacts on hospital-wide infection control outcomes.
Organizational context and factors are important to consider when evaluating the impact and implementation of infection control programs.
Infection control practitioners (ICPs) are fundamental to the success of any hospital-based healthcare infection prevention and control initiative [1, 2]. This group of people, the majority of whom are nurses, are responsible for a variety of duties in a healthcare facility linked to the prevention and control of hospital acquired infections (HAIs), including direct infection prevention and control activities as well as surveillance, education, policy, research, communication and administration tasks [1, 2]. However, the working conditions of ICPs in Australia, including the organizational contexts in which they practice, are highly diverse and not well documented . Understanding the organizational factors impacting ICPs and their experience of job satisfaction and burnout is important; the extent to which these individuals are satisfied in their jobs and experience job burnout may be key predictors of the quality of the infection prevention practices they implement and, subsequently, of the rates of HAIs in healthcare facilities.
The experience of job dissatisfaction and job burnout are significant problems for Australian nurses. Studies consistently suggest that nurses in Australia experience moderate to high levels of burnout [3,4,5]. Rates of job dissatisfaction and burnout among ICPs has not been reported in the literature; however, because of the diversity and complexity of ICPs’ roles [1, 2], it is feasible that ICPs’ experience of job dissatisfaction and burnout is comparable to, if not higher than, that of nurses in general practice settings.
There is a known relationship between nurses’ experience of job dissatisfaction and burnout, and reduced quality of patient care. When nurses experience poor job satisfaction and burnout, quality of care is consistently low [6,7,8], and patients are more likely to report dissatisfaction with the quality of the care they receive . In the context of infection control there is evidence to suggest that when nurses experience poor job satisfaction and burnout, their compliance with infection control initiatives declines . Specifically, poor job satisfaction and burnout have been associated with higher rates or morbidity and mortality . In the context of infection control there is evidence to suggest that when nurses experience poor job satisfaction and burnout, the rates of HAIs may increase . This may be because nurses’ experience of job dissatisfaction and burnout results in negative coping behaviors among nurses, such as distancing themselves from work . Therefore, understanding their working environment is important to improve retention of qualified staff and to maintain high quality healthcare practices.
There is also a relationship between nurses’ experience of job dissatisfaction and burnout and a variety of organizational factors, particularly POS. The literature suggests that where nurses perceive a supportive organizational culture generally [4, 14,15,16]– and, specifically, where nurses perceive good interdisciplinary collaboration , quality management  and high levels of safety  in their organization – they are more likely to be satisfied with their work and / or report lower levels of burnout. However, there is little evidence for the impact of organizational factors on stress and burnout among nurses working in infection control and prevention roles specifically, including among ICPs. Furthermore, there a paucity of research which considers organizational factors other than general POS (or closely related concepts), and few studies from the Australian context. It is these gaps that this research aimed, in part, to address.
This study was embedded in a larger evaluation of the Australian National Hand Hygiene Initiative (NHHI). The NHHI is a major patient safety program funded by the Australian Commission for Safety and Quality in Health Care and coordinated by Hand Hygiene Australia. The NHHI aims to standardize hand hygiene practices in Australia, as hand hygiene is recognized as the most effective intervention for preventing HAIs . We undertook a comprehensive evaluation of the efficiency and cost-effectiveness of the NHHI, finding that (a) the program is associated with a statistically significant reduction in the rates of some HAIs, and (b) that the program is cost-effective against an Australian threshold of per life year gained [19, 20]. This study was conducted mid-way through the NHHI evaluation in 2014, in hospitals participating in the NHHI program.
This study had two aims: First, to provide a descriptive overview of the working conditions of ICPs in Australia by measuring a range of important organizational factors. Second, to examine the relationship between these organizational factors and ICPs job satisfaction and emotional burnout.
Data were collected using a quantitative survey (see Supplementary file 1 ). The survey was administered online with university-based software, KeySurvey. Participants were sent personalized emails with a link to the survey. Reminder emails were sent at 2 weeks and 1 month after the initial email. The survey instructions informed participants that its purpose was to measure their opinions and attitudes about infection prevention and control practices and the support they receive in their hospital. This research was undertaken with approved ethical clearance by the University and the Hospitals’ Human Research Ethics Committees.
All of the ICPs in 50 of the largest public hospitals in Australia were invited to participate in the study. 153 of the 215 people invited completed the survey, giving an overall response rate of 71 %. There was representation from all states and territories. Half of the ICP sample was from hospitals in New South Wales and Victoria (50 %, n = 77). Approximately one third of the sample was from hospitals in Queensland, South Australia and Western Australia (38 %, n = 59). Ninety-three per cent of the sample was female, reflecting the natural gender differences in the profession seen in other studies involving ICPs in Australia . The ages of the participating ICPs ranged from 26 to 65 years, with a median of 44 years. The ICPs had an average of 22.5 years nursing experience, ranging from 5 to 44 years. All participating IPCs had at least 6 months of work experience in their current hospital; this was deemed necessary to ensure they had the minimum knowledge and experience of their workplace and infection control practices required to answer the survey questions meaningfully.
The first part of the survey consisted of demographic and background questions including age, number of years of experience in nursing, number of years working in infection control, staff supervisory responsibilities and involvement in hand hygiene auditing. The second part of the survey asked questions on nine key constructs: two main outcome variables of job satisfaction and emotional burnout, and seven predictor variables of perceived organizational support (POS), communication, support from senior management, time pressure, job control, cognitive demands and safety climate. All of these questions are from existing surveys which are available and free for academic use. The survey can been seen in Supplementary file 1.
Two key outcome variables were measured in this study: job satisfaction and emotional burnout.
Job satisfaction was evaluated using a one-item measure developed by . Participants were asked, ‘How do you feel about your job, all things considered?’ Participants answered this question using a five-point Likert scale, from ‘not at all satisfied’ (1) to ‘extremely satisfied, couldn’t be more satisfied’ (5).
Emotional burnout was evaluated using a validated one-item measure developed by . Participants were asked to select one statement on a scale of ‘I enjoy my work…’ (1) to ‘I feel completely burned out and often wonder if I can go on…’ (5). This question was designed to assess participants’ self-perceived level of burnout based on symptoms such as stress, exhaustion and frustration, etc. . We thus refer to this construct as emotional burnout. This non-proprietary measure has also been validated against the single item measure of emotional burnout on the widely used and cited Maslauch Burnout Inventory [23, 24].
In addition to these two key outcome variables, seven predictor variables were measured in this study: POS, communication, support from senior management, time pressure, job control, cognitive demands and safety climate.
Perceived organizational support (POS)
To measure POS, an 8-item scale was used; this was a shortened version of the full 36-item scale developed by . The scale asked participants to rate eight items on a seven-point Likert scale, from ‘strongly disagree’ (1) to ‘strongly agree’ (7). Items included: ’The hospital really cares about my wellbeing’ and ‘My hospital would forgive an honest mistake on my part’.
Communication about infection prevention and control practices was measured using four items taken from scales developed by [26,27,28]. The questions asked participants to rate items on a five-point Likert scale, from ‘strongly disagree’ (1) to ‘strongly agree’ (5). Items include: ‘I know the proper channels to direct questions regarding hand hygiene’ and ‘Good communication flow exists down the chain of command regarding hand hygiene’.
Support from senior management
Perceived support from senior management was measured using eight items taken from scales developed by [26, 27]. The questions asked participants to rate items on a five-point Likert scale, from ‘strongly disagree’ (1) to ‘strongly agree’ (5). Items include: ‘Senior management has a clear picture of the risk associated with poor hand hygiene’ and ‘My suggestions about hand hygiene would be acted upon if I expressed them to senior management’.
To measure time pressure, three questions were taken from a tool developed by . The questions asked participants to rate items on a seven-point Likert scale, from ‘never’ (1) to ‘always’ (7). Items included: ‘I have unachievable deadlines’ and ‘I have to neglect some tasks because I have too much to do’.
To measure job control, three questions were taken from a tool developed by . The questions asked participants to rate items on a seven-point Likert scale, from ‘never’ (1) to ‘always’ (7). Items included: ‘I have a choice in deciding what I do at work’ and ‘I have a choice in how I do my work’.
Cognitive demand was measured using four questions taken from a tool developed by . The questions asked participants to rate items on a seven-point Likert scale, from ‘never’ (1) to ‘always’ (7). Items include: ‘Do you have to concentrate all the time to watch for things going wrong?’ and ‘Do you have to react quickly to prevent problems arising?’
Hospital safety climate
Hospital safety climate was measured using a 16-item questionnaire developed by . The questions asked participants to rate items on a six-point Likert scale, from ‘strongly disagree’ (1) to ‘strongly agree’ (6). Items include: ‘My hospital reacts quickly to solve the problem when told about infection-related risks’ and ‘My hospital tries to continually improve hand hygiene compliance in each ward’.
All scale reliabilities were determined using Cronbach’s statistic. Two separate multiple regression analyses were conducted to predict job satisfaction and emotional burnout. The seven predictor variables: POS, time pressure, job control, communication, hospital level safety climate, cognitive demands, and support from senior management were added to the model simultaneously in one block. Age and years of experience in infection control were entered into the model when they were significant with the outcome variable. Results are presented separately for each outcome measure in the following section. A series of one-way ANOVAs (analysis of variance) were used to test for state/territory differences in all of the measures but there were no notable differences between the states/territories. We used Green’s rule of thumb (medium effect) to test the necessary sample size for the entire model: n = 50 + 8*predictors = 50 + 8*9 = 122 . We included 9 predictors when there are only 7 used in order to allow for the demographic variables. Our sample is therefore an adequate sample size to test the model and the significance of the predictors.
Table 2 shows the means and standard deviations for all measures.
Table 3 shows the correlations between the two main outcome measures.
There were significant bivariate correlations between job satisfaction and all predictor variables except cognitive demands, age and years of experience. All are positively associated with job satisfaction except time pressure as would be expected. For job burnout all seven organizational predictors were significantly correlated in the expected directions. Age and years of experience were not significantly correlated with burnout.
Most of the participating ICPs reported being ‘just about satisfied’ (28 %, n = 42), ‘quite satisfied’ (24 %, n = 36) or ‘very satisfied’ (36 %, n = 54) with their work. With respect to predicting the overall job satisfaction of the ICPs, the regression model was significant with the combination of all nine variables able to explain 50 % of the variance in job satisfaction, R = .71 (R2 = 0.50), F (7,140) = 20.37, p < .001. Three variables of communication, job control and POS are significantly related to job satisfaction for ICPs (Table 4). The other variables are not significant predictors of job satisfaction.
Most of the participating ICPs (60 %, n = 89) reported being burned out ‘occasionally’ (mean 2.14[1,2,3,4,5], SD 0.87). With respect to predicting the overall job burnout of ICPs, the regression model was significant with the combination of all nine variables able to explain 37 % of the variance in job satisfaction, R = .61 (R2 = 0.37), F(9,137) = 8.92,p < .001. High time pressure and cognitive demands coupled with poor communication are significantly related to high emotional burnout for ICPs (Table 5). The other variables are not significant predictors of emotional burnout.
In line with the first aim of our study we document the perceptions of the working conditions for ICPs and highlight the organizational context of ICPs in Australia. Our results suggest that whilst most ICPs perceive a good safety climate in relation to infection prevention and control practices in their organization, ICPs’ perceptions of organization support and support from senior management are moderate and variable, most are under significant time pressure and most experience high cognitive demands. Job satisfaction is moderate, although variable but is not related to age or to years of experience in the job.
With respect to the second aim, we show that low job satisfaction is linked to the organizational factors of poor communication, low job control and low POS. In contrast, emotional burnout is associated with organizational factors of high time pressure and cognitive demands coupled with poor communication.
In providing this evidence on the working conditions of ICPs in Australia, this study has made a significant contribution to the literature. Although there is some evidence on the scope of practice of ICPs in Australia [1, 2], there is no literature on the organizational context in which ICPs practice, nor how contextual factors affect ICPs’ practice. With the growing role and recognition of ICPs in the Australian context, these findings help add to the body or work demonstrating the need to define the scope of the ICP role and responsibilities [1, 2].
Job satisfaction among ICPs is independently predicted by low job control, low POS and poor communication about infection prevention and control practice. Job burnout among ICPs is predicted by high time pressure and cognitive demands coupled with poor communication. Organizational support, which  and  suggest is a key factor in predicting nurses’ experience of job dissatisfaction and burnout, predicted job satisfaction but not burnout. Conversely, time pressure was a significant predictor of burnout but not job satisfaction. Job control and communication predicted both job dissatisfaction and burnout. These results contribute to the understanding of the impact of key organizational factors on ICPs’ job experience. These findings are concordant with those in the nursing literature [3, 4] and have implications for the quality of ICPs’ infection prevention practices and, potentially, rates of HAIs in healthcare facilities.
The most significant organizational factors for both satisfaction and burnout are job control and communication. The literature suggests there are explanations for these relationships. Nurses, regardless of the context in which they practice, have a demanding work environment. However, where they perceive they have a degree of control over this environment, nurses can approach the difficulties it presents in a more positive way. Therefore, they experience a higher degree of personal accomplishment, which has been shown to be a key factor in job satisfaction and burnout . Communication may impact on job satisfaction and burnout in a similar way, as communication is fundamental in enabling nurses to respond effectively to the challenges in their environment and, therefore, in promoting their sense of personal accomplishment . Although there is no literature relevant to ICPs specifically, these findings can be feasibly extrapolated from the broader nursing to the specific ICP context.
It is interesting to note that although our study suggests job control and communication are predictive of job satisfaction and burnout among ICPs, the participating ICPs report both moderately high job control and very good communication practices in their organizations. Indeed, this could demonstrate a survival and selection effect such that only the ICPs that are able to work with control continue in these positions as well as them being the ones most likely to answer the survey.
On one of the strengths of this study was the high response rate with representation for all participating hospitals in each Australian state and territory, improving the generalizability of our findings and provided us with more confidence that a range of views and conditions have been captured. However, there were also some limitations. The sample size for this study whilst adequate for the analyses performed does not preclude the fact that some of the findings, particularly the smaller p values, may be attributable to chance.
The findings for aim 2 on the organizational factors which predict job dissatisfaction and burnout among ICPs cannot be linked to outcome measures – such as rates of HAIs. Although data on rates of HAIs in the participating hospitals is available from our concurrent evaluation of the NHHI, and the literature suggests there is indeed a relationship between organizational factors, stress / burnout and HAIs [11, 12, 37] due to the number of confounding variables involved in this study, identifying clear relationships between our predictor and outcome variables is problematic. It could be the case that cognitive demands drive burnout but equally it could be the other way around. The direction of the relationship is not able to be ascertained in this study.
We also acknowledge that the construct of job burnout was measured by a single item that has been validated against the emotional aspects of burnout as opposed to other aspects of burnout (like physical) so the relationships described here may not hold for other dimensions of burnout.
Additionally, due to ethical limitations related to data confidentiality, no hospital-level comparisons between the outcome measures could be undertaken. Finally, another key limitation to this study, which provides scope for further research, is that these findings only apply to large tertiary public hospitals in Australia; we cannot generalize these findings to the private hospital sector nor can we say whether and how these same organizational factors are relevant in remote or rural hospitals.
These findings may be used to modify national infection prevention and control programs to suit local organizational contexts, to help retain ICP staff and to improve ongoing training. These findings are also important in improving the effectiveness of infection control programs implemented in healthcare facilities – including in terms of promoting ICPs’ compliance with infection control practices and, potentially, achieving reductions in the risk of HAIs.
Understanding the working conditions of ICPs is fundamental to a successful hospital infection prevention and control program. This study has provided evidence on the perceived working conditions of ICPS and discussed the associations between several organizational factors and job satisfaction and emotional burnout. Although this study cannot ascertain which organizational factors among ICPs cannot be linked to outcome measures (e.g. rates of HAIs), the findings presented are supported by data from a large number of ICPs in all Australian states and territories, and therefore represent a good cross-section of the Australian ICP population.
Overall, these findings represent an important contribution to understanding the working condition of specialized nursing group in Australia – one which is particularly relevant in the current climate of a global pandemic.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Analysis of variances
Hospital acquired infections
Infection control practitioners
National Hand Hygiene Initiative
Perceived organizational support
Hall L, Halton K, Macbeth D, Gardner A, Mitchell B. Roles, responsibilities and scope of practice: describing the ‘state of play’ for infection control professionals in Australia and New Zealand. Healthc Infect. 2015;20(1):29–35.
Mitchell BG, Hall L, MacBeth D, Gardner A, Halton K. Hospital infection control units: staffing, costs, and priorities. Am J Infect Control. 2015;43(6):612–6.
Patrick K, Lavery JF. Burnout in nursing. Aust J Adv Nurs. 2007;24(3):43.
Hayes B, Douglas C, Bonner A. Work environment, job satisfaction, stress and burnout among haemodialysis nurses. J Nurs Manag. 2015;23(5):588–98.
Guo YF, Plummer V, Lam L, Wang Y, Cross W, Zhang JP. The effects of resilience and turnover intention on nurses’ burnout: Findings from a comparative cross-sectional study. J Clin Nurs. 2019;28(3–4):499–508.
Kanai-Pak M, Aiken LH, Sloane DM, Poghosyan L. Poor work environments and nurse inexperience are associated with burnout, job dissatisfaction and quality deficits in Japanese hospitals. J Clin Nurs. 2008;17(24):3324–9.
Nantsupawat A, Nantsupawat R, Kunaviktikul W, Turale S, Poghosyan L. Nurse burnout, nurse-reported quality of care, and patient outcomes in Thai hospitals. J Nurs Scholarsh. 2016;48(1):83–90.
Abou Hashish EA. Relationship between ethical work climate and nurses’ perception of organizational support, commitment, job satisfaction and turnover intent. Nurs Ethics. 2017;24(2):151–66.
You LM, Aiken LH, Sloane DM, Liu K, He GP, Hu Y, Jiang XL, Li XH, Li XM, Liu HP, Shang SM. Hospital nursing, care quality, and patient satisfaction: cross-sectional surveys of nurses and patients in hospitals in China and Europe. Int J Nurs Stud. 2013;50(2):154–61.
Gilmartin HM, Langner P, Battaglia C. Does Nurse Job Satisfaction Influence Adherence to Central Line Bundle Practices and Central Line-Associated Bloodstream Infections in the VA? Am J Infect Control. 2016;44(6):89–90.
Aiken LH, Clarke SP, Sloane DM, Lake ET, Cheney T. Effects of hospital care environment on patient mortality and nurse outcomes. J Nurs Adm. 2008;38(5):223.
Van Bogaert P, Timmermans O, Weeks SM, van Heusden D, Wouters K, Franck E. Nursing unit teams matter: Impact of unit-level nurse practice environment, nurse work characteristics, and burnout on nurse reported job outcomes, and quality of care, and patient adverse events—A cross-sectional survey. Int J Nurs Stud. 2014;51(8):1123–34.
Aytekin A, Yilmaz F, Kuguoglu S. Burnout levels in neonatal intensive care nurses and its effects on their quality of life. Aust J Adv Nurs. 2013;31(2):39.
Watts J, Robertson N, Winter R. Evaluation of organisational culture and nurse burnout. Nurs Manag. 2013;20(6):24–9.
Li X, Zhang Y, Yan D, Wen F, Zhang Y. Nurses’ intention to stay: The impact of perceived organizational support, job control and job satisfaction. J Adv Nurs. 2020;76(5):1141–50.
Maan AT, Abid G, Butt TH, Ashfaq F, Ahmed S. Perceived organizational support and job satisfaction: a moderated mediation model of proactive personality and psychological empowerment. Future Bus J. 2020;6(1):1–2.
Van Bogaert P, Clarke S, Roelant E, Meulemans H, Van de Heyning P. Impacts of unit-level nurse practice environment and burnout on nurse‐reported outcomes: a multilevel modelling approach. J Clin Nurs. 2010;19(11‐12):1664–74.
Australian Guidelines for the Prevention and Control of Infection in Healthcare. Australian Commission on Safety and Quality in Health Care. Healthcare Associated Infection: Action Guide. 2021, Retrieved from: https://www.safetyandquality.gov.au/sites/default/files/2021-02/australian_guidelines_for_the_prevention_and_control_of_infection_in_health_care_-_current_version_-_v11.4_5_january_2021.pdf [Accessed 24 February 2021].
Barnett AG, Page K, Campbell M, Brain D, Martin E, Winters S, Hall L, Paterson D, Graves N. Changes in healthcare-associated infections after the introduction of a national hand hygiene initiative. Healthc Infect. 2015;19(4):128–34.
Page K, Barnett AG, Campbell M, Brain D, Martin E, Fulop N, Graves N. Costing the Australian national hand hygiene initiative. J Hosp Infect. 2014;88(3):141–8.
Warr P, Cook J, Wall T. Scales for the measurement of some work attitudes and aspects of psychological well-being. J Occup Psychol. 1979;52(2):129–48.
Rohland BM, Kruse GR, Rohrer JE. Validation of a single-item measure of burnout against the Maslach Burnout Inventory among physicians. Stress Health. 2004;20(2):75–9.
West C, Dyrbye L, Sloan J, Shanafelt T. Single item measures of emotional exhaustion and depersonalization are useful for assessing burnout in medical professionals. J Gen Intern Med. 2009;24(12):1318–21.
Dolan ED, Mohr D, Lempa M, Joos S, Fihn SD, Nelson KM, Helfrich CD. Using a single item to measure burnout in primary care staff: a psychometric evaluation. J Gen Intern Med. 2015;30(5):582–7.
Eisenberger R, Huntington R, Hutchison S, Sowa D. Perceived organizational support. J App Psych. 1986;71(3):500.
Kho ME, Carbone JM, Lucas J, Cook DJ. Safety Climate Survey: reliability of results from a multicenter ICU survey. BMJ Qual Saf. 2005;14(4):273–8.
Singer SJ, Gaba DM, Geppert JJ, Sinaiko AD, Howard SK, Park KC. The culture of safety: results of an organization-wide survey in 15 California hospitals. BMJ Qual Saf. 2003;12(2):112–8.
Gaba DM, Singer SJ, Sinaiko AD, Bowen JD, Ciavarelli AP. Differences in safety climate between hospital personnel and naval aviators. Hum Factors. 2003;45(2):173–85.
Cousins R, Mackay CJ, Clarke SD, Kelly C, Kelly PJ, McCaig RH. Management standards and work-related stress in the UK: Practical implications. Work Stress. 2004;18:113–36.
Jackson PR, Wall TD, Martin R, Davids K. New measures of job control, cognitive demand, and production responsibility. J App Psych. 1993;78(5):753.
Zohar D, Luria G. A multilevel model of safety climate: cross-level relationships between organization and group-level climates. J App Psych. 2005;90(4):616.
Green S. How Many Subjects Does It Take To Do A Regression Analysis. Multivariate Behav Res. 1991;26(3):499–510.
Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. NY: McGraw-Hill; 1994.
Cho E. A comprehensive review of so-called Cronbach’s alpha. J Prod Res. 2020;38(1):9–20.
Morrison KB, Korol SA. Nurses’ perceived and actual caregiving roles: identifying factors that can contribute to job satisfaction. J Clin Nurs. 2014;23:3468–77.
Darban F, Balouchi A, Narouipour A, Safarzaei E, Shahdadi H. Effect of communication skills training on the burnout of nurses: a cross-sectional study. J Clin Diagn Res. 2016;10(4):IC01.
Jimmieson NL, Tucker MK, White KM, Liao J, Campbell M, Brain D, Page K, Barnett AG, Graves N. The role of time pressure and different psychological safety climate referents in the prediction of nurses’ hand hygiene compliance. Saf Sci. 2016;82:29–43.
We would like to kindly acknowledge the help and support we received from the many infection control practitioners and safety and quality workers in public hospitals throughout Australia. We would also like to thank the National Health and Medical Research Council (NHMRC) and Australian Commission for Safety and Quality in Healthcare for the joint funding to undertake this research. We also wish to acknowledge the contribution of research assistance from Laura McCosker.
The study was supported by a National Health and Medical Research Council Partnership Grant (number 553081) with financial and in-kind support from: Australian Commission on Safety and Quality in Health Care, Hand Hygiene Australia, and jurisdictional health departments.
Ethics approval and consent to participate
The reference numbers for the ethical clearances are: Queensland Health. HREC/10/QPAH/180 (hospitals) and QUT HREC 1000001240 (University). For New South Wales all 15 sites were covered by this single HRECs approval. Sydney Local Health District (Concord) HREC (Ref: LNR/12/CRGH/44CH62/6/2012-038). For Victoria there were 11 sites in the study covered by 10 different HRECs: Box Hill Hospital: Eastern Health HREC (Ref: LR89/1112); Frankston Hospital: Peninsula Health Quality and Clinical Governance (Ref: HREC/12/PH/39); Geelong Hospital; Monash Medical Centre and Dandenong Hospital: Southern Health Research Directorate–Quality Assurance (Ref: 12114Q); Western Hospital: Western Health Low Risk Human Research Ethics Panel, Office for Research (Ref: QA 2012/77); The Alfred Hospital: The Alfred Ethics Committee (Ref: 217/12); St Vincent’s: Research Governance Office (Ref: LRR071/12); The Austin Hospital: Austin Health HREC, Research Ethics Unit (Ref: H2012/04672); Royal Melbourne: Melbourne Health HREC (Ref: QA 201090); The Northern Hospital: The Northern Hospital HREC Office (Ref: LR 13/ 12). For Western Australia there were 5 sites in the study covered by 3 different HRECs: Sir Charles Gairdner Hospital, King Edward Memorial Hospital and Princess Margaret Hospital: Sir Charles Gairdner HREC (Ref: 2011–108); Fremantle Hospital: Southern Metropolitan Area Health Service HREC (Ref: S/11/289); Royal Perth Hospital: Royal Perth Ethics Committee (Ref: RA-11/024). For Northern Territory there was only 1 site in the study from Northern Territory, Human Research Ethics Committee of Northern Territory Department of Health and Menzies School of Health Research (Ref: HREC-11-1543). For South Australia there were 5 sites in the study from South Australia, covered by 3 different HRECs: Lyell McEwin and The Queen Elizabeth Hospital were covered by SA Human Health Research Ethics Committee (Ref: 2011108); Royal Adelaide Hospital was covered by Royal Adelaide Hospital Research Ethics Committee (Ref: 110712); Flinders Medical Centre and Repatriation General Hospital were covered by Southern Adelaide Health Service Clinical Research Ethics Committee (Ref: EC00188). For Queensland there were 9 sites in the study from Queensland, covered by 2 different HRECs: RBWH, Townsville, Gold Coast, Logan, Prince Charles, Princess Alexandra, Nambour and Cairns Base were all covered by the Metro South Health Service District HREC (Ref: HREC/10/QPAH/180); Ipswich hospital was covered by reference: AU/1/3BO7013/HREC/10/QWMS/40. For Tasmania there were 3 sites in the study covered by 1 HREC, Office of Research Services, University of Tasmania, Human Research Ethics Committee (Ref: H11999). For Australian Capital Territory there was 1 site in the study covered by ACT Health HREC (Ref: ETHLR.12.050). Written informed consent was given by participants who answered all surveys used for the study. All clinical/patient records were anonymous and de-identified.
Consent for publication
Both authors declare they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Page, K., Graves, N. A cross sectional study of organizational factors and their impact on job satisfaction and emotional burnout in a group of Australian nurses: infection control practitioners. BMC Health Serv Res 21, 441 (2021). https://doi.org/10.1186/s12913-021-06477-2