Data cleaning for clinician researchers: Application and explanation of a data-quality framework.

BACKGROUND: Data cleaning is the series of procedures performed before a formal statistical analysis, with the aim of reducing the number of error values in a dataset and improving the overall quality of subsequent analyses. Several study-reporting guidelines recommend the inclusion of data-cleaning procedures; however, little practical guidance exists for how to conduct these procedures. OBJECTIVES: This paper aimed to provide practical guidance for how to perform and report rigorous data-cleaning procedures. METHODS: A previously proposed data-quality framework was identified and used to facilitate the description and explanation of data-cleaning procedures. The broader data-cleaning process was broken down into discrete tasks to create a data-cleaning checklist. Examples of the how the various tasks had been undertaken for a previous study using data from the Australia and New Zealand Intensive Care Society Adult Patient Database were also provided. RESULTS: Data-cleaning tasks were described and grouped according to four data-quality domains described in the framework: data integrity, consistency, completeness, and accuracy. Tasks described include creation of a data dictionary, checking consistency of values across multiple variables, quantifying and managing missing data, and the identification and management of outlier values. The data-cleaning task checklist provides a practical summary of the various aspects of the data-cleaning process and will assist clinician researchers in performing this process in the future. CONCLUSIONS: Data cleaning is an integral part of any statistical analysis and helps ensure that study results are valid and reproducible. Use of the data-cleaning task checklist will facilitate the conduct of rigorous data-cleaning processes, with the aim of improving the quality of future research.

Nurse/midwife-to-patient ratios: A scoping review.

BACKGROUND: A significant body of work has linked high nurse or midwife workload to negative patient outcomes. Anecdotal reports suggest that mandated ratio models enhance patient care and improve nurse job satisfaction. However, there is limited focused research. OBJECTIVE: To identify key outcomes, implementation processes, and research needs regarding nurse/midwife-to-patient ratios in the Australian healthcare context. DESIGN: Scoping review. METHODS: Data sources were CINAHL, Open Dissertations, Medline, and Scopus. 289 articles screened, and 53 full text documents independently assessed against criteria by two reviewers and conflicts resolved by a third reviewer, using Covidence™. Three studies were included in this review. RESULTS: Studies focused on nurse (job satisfaction, burnout), patient (mortality, readmission, length of stay) and system (costs) outcomes with limited information on implementation processes and no midwifery research. CONCLUSIONS: Ratios provide benefits for patients, nurses, and hospitals although there is limited research in Australia. Implementation was poorly reported..

Development and validation of a risk score to predict unplanned hospital readmissions in ICU survivors: A data linkage study.

BACKGROUND: Intensive Care Unit (ICU) follow-up clinics are growing in popularity internationally; however, there is limited evidence as to which patients would benefit most from a referral to this service. OBJECTIVES: The objective of this study was to develop and validate a model to predict which ICU survivors are most likely to experience an unplanned hospital readmission or death in the year after hospital discharge and derive a risk score capable of identifying high-risk patients who may benefit from referral to follow-up services. METHODS: A multicentre, retrospective observational cohort study using linked administrative data from eight ICUs was conducted in the state of New South Wales, Australia. A logistic regression model was developed for the composite outcome of death or unplanned readmission in the 12 months after discharge from the index hospitalisation. RESULTS: 12,862 ICU survivors were included in the study, of which 5940 (46.2%) patients experienced unplanned readmission or death. Strong predictors of readmission or death included the presence of a pre-existing mental health disorder (odds ratio [OR]: 1.52, 95% confidence interval [CI]: 1.40-1.65), severity of critical illness (OR: 1.57, 95% CI: 1.39-1.76), and two or more physical comorbidities (OR: 2.39, 95% CI: 2.14-2.68). The prediction model demonstrated reasonable discrimination (area under the receiver operating characteristic curve: 0.68, 95% CI: 0.67-0.69) and overall performance (scaled Brier score: 0.10). The risk score was capable of stratifying patients into three distinct risk groups-high (64.05% readmitted or died), medium (45.77% readmitted or died), and low (29.30% readmitted or died). CONCLUSIONS: Unplanned readmission or death is common amongst survivors of critical illness. The risk score presented here allows patients to be stratified by risk level, enabling targeted referral to preventative follow-up services.

The Impact of COVID-19 Visitor Restrictions on Clinical Cancer Nurses.

OBJECTIVES: To explore the impact of visitor restrictions on clinical cancer nurses, their roles and duties, and the coping strategies used to address the impact. DATA SOURCES: Semistructured qualitative interviews were conducted through purposive sampling with nurses working in a clinical role within cancer services at the study site for at least 1 year. Interviews were recorded and transcribed. Textual data transcribed from interviews were analyzed for themes using NVivo version 12 software, following Braun and Clarke's six phases of thematic analysis. CONCLUSION: Visitor restrictions implemented due to COVID-19 had a significant impact on clinical cancer nurses. The study found evidence of moral injury and conflict-within the role of the nurse, the implementation of organizational policies, and nurses' professional identity and personal beliefs. Despite this adversity, nurses remained committed to their clinical practice. IMPLICATIONS FOR NURSING PRACTICE: Changes to nurses' roles and the practice environment have potentially significant impact on well-being and retention. To ensure that nurses can continue to provide high-quality nursing care in challenging environments, organizations must minimize this impact. Consistent communication and support activities, including recognizing and responding appropriately to situations, may be used in the reduction of potential moral injury and stress.

Association Between Preexisting Mental Health Disorders and Adverse Outcomes in Adult Intensive Care Patients: A Data Linkage Study.

OBJECTIVES: Mental illness is known to adversely affect the physical health of patients in primary and acute care settings; however, its impact on critically ill patients is less well studied. This study aimed to determine the prevalence, characteristics, and outcomes of patients admitted to the ICU with a preexisting mental health disorder. DESIGN: A multicenter, retrospective cohort study using linked data from electronic ICU clinical progress notes and the Australia and New Zealand Intensive Care Society Adult Patient Database. SETTING/PATIENTS: All patients admitted to eight Australian adult ICUs in the calendar year 2019. Readmissions within the same hospitalization were excluded. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Natural language processing techniques were used to classify preexisting mental health disorders in participants based on clinician documentation in electronic ICU clinical progress notes. Sixteen thousand two hundred twenty-eight patients (58% male) were included in the study, of which 5,044 (31.1%) had a documented preexisting mental health disorder. Affective disorders were the most common subtype occurring in 2,633 patients (16.2%), followed by anxiety disorders, occurring in 1,611 patients (9.9%). Mixed-effects regression modeling found patients with a preexisting mental health disorder stayed in ICU 13% longer than other patients (ß-coefficient, 0.12; 95% CI, 0.10-0.15) and were more likely to experience invasive ventilation (odds ratio, 1.42; 95% CI, 1.30-1.56). Severity of illness and ICU mortality rates were similar in both groups. CONCLUSIONS: Patients with preexisting mental health disorders form a significant subgroup within the ICU. The presence of a preexisting mental health disorder is associated with greater ICU length of stay and higher rates of invasive ventilation, suggesting these patients may have a different clinical trajectory to patients with no mental health history. Further research is needed to better understand the reasons for these adverse outcomes and to develop interventions to better support these patients during and after ICU admission.

Development and psychometric testing of the gender misconceptions of men in nursing (GEMINI) scale among nursing students.

BACKGROUND: Misconceptions about men in nursing may influence recruitment and retention, further perpetuating the gender diversity imbalance in the nursing workforce. Identifying misconceptions and implementing early intervention strategies to address these deep-rooted stereotypes remain challenging but is considered critical to support students who are commencing a nursing career. OBJECTIVE: To develop and evaluate the psychometric properties of the 'Gender Misconceptions of meN in nursIng (GEMINI) Scale. DESIGN: Cross-sectional survey. METHODS: Pre-registration nursing students enrolled in undergraduate nursing programmes across 16 nursing institutions in Australia were surveyed from July to September 2021. The 17-item self-report GEMINI Scale measured the gender misconceptions of men in nursing. RESULTS: Of the 1410 completed surveys, data from 683 (45%) women were used for exploratory factor analysis showing a one factor structure, while data from 727 men (47%) were used for confirmatory factor analysis of the 17-item GEMINI Scale, which showed a good model fit. The scale demonstrated high internal consistency (Cronbach's alpha of 0.892). Men were found to have higher gender misconceptions (p < 0.001) while respondents who: (a) identified nursing as their first career choice (p = 0.002); (b) were in their final year of programme enrolment (p = 0.016); and (c) engaged in health-related paid work (p = 0.002) had lower gender misconceptions. CONCLUSION: The GEMINI Scale is a robust, valid, reliable, and easy to administer tool to assess misconceptions about men in nursing, which may potentially influence academic performance and retention. Identifying and addressing specific elements of misconceptions could inform targeted strategies to support retention and decrease attrition among these students. IMPACT STATEMENT: Genderism harms nursing, as well as the men and women working in the profession. Recruitment and retention of men into nursing is needed to cultivate male role models and diversify the workforce, however this is impeded by negative portrayals in popular culture and misconceptions entrenched in society.

Maternal incarceration: Impact on parent-child relationships.

Female incarceration is rising steeply in Australia and other high-income countries. The majority of incarcerated women are mothers. Their children represent a particularly vulnerable group, often subject to adverse experiences due to their family's disadvantaged circumstances involving inadequate housing, food insecurity, poverty, poor health, a lack of personal safety due to violence and resulting trauma. This qualitative study explores parenting experiences of incarcerated mothers separated from their children. Interviews involved 65 mothers in three Australian prisons and 19 stakeholders providing correctional services and support for incarcerated women. Data were analysed using interpretive description. Mothers' accounts highlighted frustrations resulting from trying to maintain relationships with their children, often exacerbating their separation and compounding parenting difficulties. Two major themes emerged from the data: 'protecting their children' and 'at the mercy of the system'. Mothers described how they tried to protect their children from the consequences of their incarceration, yet many of the correctional system processes and procedures made it even harder to maintain connection. Incarcerated mothers need support in their parenting role. Ideally, this support should commence during incarceration. Further, changes within prison routines could enhance mothers' efforts to keep in contact with their children, through visits and phone calls.

The impact of an undergraduate students' culture on their learning about mental health: A scoping review.

Mental disorders are highly prevalent. This necessitates undergraduate students in health-related courses are provided with the knowledge, skills, and attitudes to deliver safe care. Research confirms undergraduate health students maintain discriminative, stigmatizing, and inaccurate beliefs and attitudes toward those experiencing mental disorders. However, there is a paucity of research exploring how culture influences these beliefs. This scoping review addressed the question: 'What is the impact of an undergraduate student's culture on their learning about mental health?' A systematic search was undertaken of the MEDLINE, CINAHL, Scopus, PsycINFO, and ERIC databases. Results indicate variance between students' cultural beliefs in their attitudes toward and knowledge of mental disorders and understanding of interventions and treatment. None of the identified studies reviewed the ramifications for pedagogy beyond anecdotal suggestions. Educators need to acknowledge the potential impact that students' cultural beliefs have on their learning about mental health and consider appropriate learning activities to acknowledge the role of culture. Research of the impact of undergraduate students' culture on their learning about mental health will provide an evidence base for the development of these learning activities.

Extending the role of nursing assistants in mental health inpatient settings: A multi-method study.

With continued growth in the demand for nursing care, many organizations have incorporated nursing assistants into the acute care workforce. However, role descriptions are often generic and do not provide clarity in specialist areas such as mental health inpatient settings. Issues have been noted regarding the role of assistants, delegation, and their integration with the nursing team. This study extended an existing set of care activities and explored the perceptions of nursing assistants and registered nurses regarding these activities. A modified Delphi approach added 14 new care activities for nursing assistants. A follow-up survey found significant differences between nursing assistants and registered nurses regarding utilization of the activities, delegation, teamwork, and role clarity. Future research must incorporate the perspectives of those with lived experience of mental health issues, and develop an understanding of the interactions between nursing assistant care activities and other factors such as local supports, skillmix, and the practice environment, as these may impact how an organization can introduce nursing assistants to specialty areas while maintaining consumer and staff safety.

Pre-existing mental health disorders in patients admitted to the intensive care unit: A systematic review and meta-analysis of prevalence.

AIMS: To determine the reported prevalence rate of pre-existing mental health disorders in patients admitted to adult ICUs and identify the most commonly occurring types of these disorders. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Five electronic databases were searched from 1 January 2000 -15 April 2020. Google Scholar was used to perform forwards citation searching. METHODS: This review was conducted in line with the PRISMA guidelines and protocol registered with PROSPERO CRD42020181818. Meta-analyses were performed using the quality effects model to calculate weighted pooled prevalence estimates and heterogeneity was tested using the I2 statistic. RESULTS: Seven articles were included in the final review and meta-analysis (143,179 participants). Identified prevalence rates varied considerably, ranging from 6.2-28.0%, reflecting variation in each study's clinical context, as well as different patient selection and identification methodologies. The pooled prevalence rate of all pre-existing mental health disorders was 19.4% (95% CI 8.9-32.6%). Depression was the most common subtype, accounting for an estimated 60.5% (95% CI 54.4-66.5%) of identified mental health disorders. All analyses showed significant heterogeneity with I2  > 95%. CONCLUSION: Approximately 19% of adult ICU patients have a history of a mental health disorder, most commonly depression. Further research is needed to improve the accuracy of this estimate as well as determine the best identification method. IMPACT: This study has demonstrated that patients with pre-existing mental health disorders, particularly depression, constitute a significant subgroup in ICU. Given that the presence of a pre-existing mental health disorder appears to confer an increased mortality risk following ICU discharge, clinicians need to be made aware of this group of patients to provide additional support. Further research is needed to more accurately quantify this vulnerable group and establish methods to enable clinicians to readily identify and refer these patients for appropriate follow-up treatment.

Harnessing ward-level administrative data and expert knowledge to improve staffing decisions: A multi-method case study.

AIM: The aim of this study was to investigate the impact of changes to bed configuration and patient mix on nurses' workload in a single ward. DESIGN: Multi-method case study. METHOD: The study was undertaken in an acute 28-bed ward in a tertiary referral public hospital in Queensland, Australia. Ward-level administrative data were obtained for a 2-year period, 12 months before bed configuration changes in October 2015 and 12 months after. These data included patient activity (bed occupancy, transfers, length of stay and casemix) and nurse staffing (budgeted and actual staffing levels, employment status and skillmix). Semi-structured interviews were conducted with ward nurses (N = 17) to explore the impact of the bed configuration changes on their workload. RESULTS: Administrative data showed that the bed configuration changes resulted in more complex and dependent patients, increased patient transfers and greater variability in casemix. The interview data found these changes to patient complexity and activity intensified workloads, which were further increased by staffing decisions that resulted in greater reliance on temporary staff. CONCLUSION: Hospitals already possess the data and expert knowledge needed to improve staffing and bed management decisions without the need for additional, costly workload systems. IMPACT: Determining appropriate nurse staffing in light of the complexities and variation of patient needs at the ward level remains a challenge. This study identified increases in patient complexity, dependency, variability and churn that increased workload. Staffing grew but hidden factors associated with temporary staffing and skillmix further intensified nurses' workload. Harnessing existing data and the expertise and experience of nursing unit managers (NUMs) would help staff wards more efficiently and effectively, providing reasonable workloads and appropriate skillmix that can enhance the safety and quality of patient care. To facilitate this, NUMs need access to accurate, timely, data and authority in staffing and bed management decisions.

Intrahospital transfers and the impact on nursing workload.

AIMS AND OBJECTIVES: To determine the rate of patient moves and the impact on nurses' time. BACKGROUND: Bed shortages and strategies designed to increase patient flow have led to a global increase in patient transfers between wards. The impact of transferring patients between wards and between beds within a ward on nurses' workload has not previously been measured. DESIGN: A two-stage sequential study. Retrospective analysis of hospital data and a prospective observational-timing study. METHODS: Secondary analysis of an administrative data set to inform the rate of ward and bed transfers (n = 34,715) was undertaken followed by an observational-timing study of nurses' activities associated with patient transfers (n = 75). RESULTS: Over 10,000 patients were moved 34,715 times in 1 year which equates to an average of 2.4 transfers per patient. On average, patient transfers took 42 min and bed transfers took 11 min of nurses' time. Based on the frequency of patient moves, 11.3 full-time equivalent nurses are needed to move patients within the site hospital each month. CONCLUSION: Transferring patients is workload intensive on nurses' time and should be included in nursing workload measurement systems. RELEVANCE TO CLINICAL PRACTICE: Nurses at the site hospital spend over 1700 hr each month on activities associated with transferring patients, meaning that less time is available for nursing care.

A comparison of nursing tasks undertaken by regulated nurses and nursing support workers: a work sampling study.

AIMS: The aim of this study was to determine which tasks unregulated nursing support staff spend their work time undertaking and to determine differences between the work undertaken by licensed/regulated nurses on units which have nursing support workers and those on units which do not. BACKGROUND: Acute hospital nursing teams often include nursing support staff; little is known about what kinds of tasks these unregulated support workers do and how it affects the work tasks of their licensed/regulated team members. DESIGN: Cross-sectional analysis of nurse work sampling data. METHODS: Data collection took place between March-October 2013. The proportion of time spent on 25 work activities by nursing support staff and licensed/regulated nursing staff was compared. Logistic regression models estimated whether nursing support staff or licensed/regulated nurses were more likely to conduct direct and indirect patient care tasks and whether licensed/regulated nurses on units with nursing support staff were more likely to conduct direct or indirect tasks compared with those on units without nursing support workers. RESULTS: Nursing support staff spent the majority of their time engaged in direct care tasks, e.g. admission and assessment, hygiene and mobility. Although licensed/regulated nurses were less likely to undertake direct care tasks compared with support workers, those who worked on units with support workers undertook more direct care compared with those who worked on units without support workers. CONCLUSIONS: Nursing support workers were given tasks that required substantial amounts of patient interaction. These staff may be associated with an increase in direct care tasks for licensed/regulated nurses, who may duplicate the direct care done by nursing support workers.

Changes to nurses' practice environment over time.

AIMS: To examine changes in the nursing practice environment, retention-related factors, unit stability and patient care tasks delayed or left undone, over two periods between 2004 and 2013. BACKGROUND: Positive nurse practice environments have been linked to nurse retention and care quality outcomes. METHODS: The collection of the Practice Environment Scale of the Nursing Work Index, job satisfaction, intent to leave, unit instability and tasks delayed or not done at six acute-care hospitals across three Australian states, in two waves between 2004 and 2013; results from the two waves are compared. RESULTS: On average, practice environment scores declined slightly; nurses reported a greater difficulty in finding another nursing position, lower intent to leave their current job and greater instability in their current position. Rates of delayed tasks increased over the period, whereas rates of tasks left undone have decreased over the period. CONCLUSIONS: The decline in nurses' perceptions of the quality of the practice environment is disappointing, particularly given the protracted workforce shortages that have persisted. Significant organisational restructuring and turnover of nurse executives may have contributed to this decline. IMPLICATION FOR NURSING MANAGEMENT: Managers need to apply existing evidence to improve nurse practice environments and manage instability.

Regulated and unregulated nurses in the acute hospital setting: Tasks performed, delayed or not completed.

AIMS: Investigate the number and type of tasks performed, delayed or not completed by regulated and unregulated (assistant) nurses. BACKGROUND: Assistants in Nursing change the work environment of the nurses with whom they work. As the number of Assistants in Nursing working on acute units grows, it is important to understand how their presence influences nursing care. DESIGN: Descriptive analysis of survey data from 62 acute nursing units across three Australian states between 2008-2010. METHODS: All staff providing nursing care to patients were asked to complete a survey that included demographics, the number of tasks delayed/incomplete and the completion of six specific tasks. Nonparametric tests compared Assistants in Nursing (n = 25) to regulated nurses (n = 1630), and regulated nurses on units with no Assistants in Nursing (n = 1356) to those on units with up to 5% assistants (n = 76) and over 5% assistants (n = 198). RESULTS: More regulated nurses on units with zero, or up to 5% Assistants in Nursing, completed tasks usually associated with assistants' scope of practice, relative to those on units with over 5% Assistants in Nursing. Statistically significant differences were found between the units in delays responding to the patient bell and in the planning of nursing care. CONCLUSION: This study suggests that Assistants in Nursing have an impact on the nature and timeliness of care provided in acute hospital units, that is relative to the proportion of staffing they comprise, to the effectiveness of integration and to the clarity of their scope of practice and associated delegation. RELEVANCE TO CLINICAL PRACTICE: With increasing employment of Assistants in Nursing in acute hospital settings comes the requirement to optimise their use. This needs to include a well-articulated scope of practice, clear delegation of tasks and effective integration with the rest of the care team.

Testing the Nursing Worklife Model in Canada and Australia: a multi-group comparison study.

STUDY AIM: To test a model derived from the Nursing Worklife Model linking elements of supportive practice environments to nurses' turnover intentions and behaviours in Canada and Australia. BACKGROUND: With the worldwide shortage of nurses, retaining nurses within fiscally challenged health care systems is critical to sustaining the future of the nursing workforce and ultimately safe patient care. The Nursing Worklife Model describes a pattern of relationships amongst environmental factors that support nursing practice and link to nurse turnover. This model has been tested in north American settings but not in other countries. METHODS: A secondary analysis of data collected in two cross-sectional studies in Canadian and Australian hospitals (N=4816) was conducted to test our theoretical model. Multigroup structural equation modelling techniques were used to determine the validity of our model in both countries and to identify differences between countries. RESULTS: The hypothesized model relationships were supported in both countries with few differences between groups. Components of supportive professional practice work environments, particularly resources, were significantly linked to nurses' turnover intentions and active search for new jobs. Leadership played a critical role in shaping the pattern of relationships to other components of supportive practice environments and ultimately turnover behaviours. CONCLUSION: The Nursing Worklife Model was shown to be valid in both countries, suggesting that management efforts to ensure that features of supportive practice environments are in place to promote the retention of valuable nursing resources.

The rate and cost of nurse turnover in Australia.

Nurse turnover is a critical issue facing workforce planners across the globe, particularly in light of protracted and continuing workforce shortages. An ageing population coupled with the rise in complex and chronic diseases, have contributed to increased demands placed on the health system and importantly, nurses who themselves are ageing. Costs associated with nurse turnover are attracting more attention; however, existing measurements of turnover show inconsistent findings, which can be attributed to differences in study design, metrics used to calculate turnover and variations in definitions for turnover. This paper will report the rates and costs of nurse turnover across three States in Australia.

Instability in patient and nurse characteristics, unit complexity and patient and system outcomes.

AIMS: To explore key factors related to nursing unit instability, complexity and patient and system outcomes. BACKGROUND: The relationship between nurse staffing and quality of patient outcomes is well known. The nursing unit is an important but different aspect that links to complexity and to system and patient outcomes. The relationship between the instability, complexity and outcomes needs further exploration. DESIGN: Descriptive. METHODS: Data were collected via a nurse survey, unit profile and review of patient records on 62 nursing units (wards) across three states of Australia between 2008-2010. Two units with contrasting levels of patient and nurse instability and negative system and patient outcomes, were profiled in detail from the larger sample. RESULTS: Ward A presented with greater patient stability (low occupancy, high planned admissions, few ICU transfers, fewer changes to patient acuity/work re-sequencing) and greater nurse instability (nurses changing units, fewer full-time staff, more temporary/casual staff) impacting system outcomes negatively (high staff turnover). In contrast, Ward B had greater patient instability, however, more nurse stability (greater experienced and permanent staff, fewer casuals), resulting in high rates for falls, medication errors and other adverse patient outcomes with lower rates for system outcomes (lower intention to leave). CONCLUSION: Instability in patient and nurse factors can contribute to ward complexity with potentially negative patient outcomes. The findings highlight the variation of many aspects of the system where nurses work and the importance of nursing unit managers and senior nurse executives in managing ward complexity.

A comparative review of nurse turnover rates and costs across countries.

AIMS: To compare nurse turnover rates and costs from four studies in four countries (US, Canada, Australia, New Zealand) that have used the same costing methodology; the original Nursing Turnover Cost Calculation Methodology. BACKGROUND: Measuring and comparing the costs and rates of turnover is difficult because of differences in definitions and methodologies. DESIGN: Comparative review. DATA SOURCES: Searches were carried out within CINAHL, Business Source Complete and Medline for studies that used the original Nursing Turnover Cost Calculation Methodology and reported on both costs and rates of nurse turnover, published from 2014 and prior. METHODS: A comparative review of turnover data was conducted using four studies that employed the original Nursing Turnover Cost Calculation Methodology. Costing data items were converted to percentages, while total turnover costs were converted to US 2014 dollars and adjusted according to inflation rates, to permit cross-country comparisons. RESULTS: Despite using the same methodology, Australia reported significantly higher turnover costs ($48,790) due to higher termination (~50% of indirect costs) and temporary replacement costs (~90% of direct costs). Costs were almost 50% lower in the US ($20,561), Canada ($26,652) and New Zealand ($23,711). Turnover rates also varied significantly across countries with the highest rate reported in New Zealand (44·3%) followed by the US (26·8%), Canada (19·9%) and Australia (15·1%). CONCLUSION: A significant proportion of turnover costs are attributed to temporary replacement, highlighting the importance of nurse retention. The authors suggest a minimum dataset is also required to eliminate potential variability across countries, states, hospitals and departments.

Nursing churn and turnover in Australian hospitals: nurses perceptions and suggestions for supportive strategies.

BACKGROUND: This study aimed to reveal nurses' experiences and perceptions of turnover in Australian hospitals and identify strategies to improve retention, performance and job satisfaction. Nursing turnover is a serious issue that can compromise patient safety, increase health care costs and impact on staff morale. A qualitative design was used to analyze responses from 362 nurses collected from a national survey of nurses from medical and surgical nursing units across 3 Australian States/Territories. METHOD: A qualitative design was used to analyze responses from 362 nurses collected from a national survey of nurses from medical and surgical nursing units across 3 Australian States/Territories. RESULTS: Key factors affecting nursing turnover were limited career opportunities; poor support; a lack of recognition; and negative staff attitudes. The nursing working environment is characterised by inappropriate skill-mix and inadequate patient-staff ratios; a lack of overseas qualified nurses with appropriate skills; low involvement in decision-making processes; and increased patient demands. These issues impacted upon heavy workloads and stress levels with nurses feeling undervalued and disempowered. Nurses described supportive strategies: improving performance appraisals, responsive preceptorship and flexible employment options. CONCLUSION: Nursing turnover is influenced by the experiences of nurses. Positive steps can be made towards improving workplace conditions and ensuring nurse retention. Improving performance management and work design are strategies that nurse managers could harness to reduce turnover.