A scoping review of nursing workforce planning and forecasting research

Innovative forecasting models for nurse demand in modern healthcare systems

Accurate prediction of nurse demand plays a crucial role in efficiently planning the healthcare workforce, ensuring appropriate staffing levels, and providing high-quality care to patients. The intricacy and variety of contemporary healthcare systems and a growing patient populace call for advanced forecasting models. Factors like technological advancements, novel treatment protocols, and the increasing prevalence of chronic illnesses have diminished the efficacy of traditional estimation approaches. Novel forecasting methodologies, including time-series analysis, machine learning, and simulation-based techniques, have been developed to tackle these challenges. Time-series analysis recognizes patterns from past data, whereas machine learning uses extensive datasets to uncover concealed trends. Simulation models are employed to assess diverse scenarios, assisting in proactive adjustments to staffing. These techniques offer distinct advantages, such as the identification of seasonal patterns, the management of large datasets, and the ability to test various assumptions. By integrating these sophisticated models into workforce planning, organizations can optimize staffing, reduce financial waste, and elevate the standard of patient care. As the healthcare field progresses, the utilization of these predictive models will be pivotal for fostering adaptable and resilient workforce management.

Nurse Unemployment in the Country Which Has Nursing Shortage: Investigation of the Reasons in the Aspect of Nurses

Turkey is the country which has serious nursing shortage. However, still there are many nurses unemployed and looking for an appropriate job. Therefore, this descriptive study aimed to examine unemployment reasons among nurses in Turkey. The study collected data from 266 unemployed nurses through an online questionnaire included demographic, socioeconomic, professional, and working characteristics, job expectations, and reasons for unemployment. Descriptive statistics were used in data analysis. The study findings revealed that the nurses thought they were unemployed due to a lack of information exchange between educational institutions and health labor markets, low wages, and intense workload.

The establishment and value of peer group clinical supervision: A qualitative study of stakeholders' perspectives

AIMS

Explore perspectives of steering group members and external clinical supervision facilitators of developing and establishing peer group clinical supervision.

BACKGROUND

The climate of healthcare is complex which can lead to staff burnout and challenges to practice. Clinical supervision is suggested as an approach to managing and leadership of such complexities.

DESIGN

Qualitative descriptive.

METHODS

Focus group interviews with 19 members of the peer group clinical supervision steering groups and individual interviews with five external clinical supervision facilitators from the Western region of Ireland were conducted. Data analysis followed Elo and Kyngäs' content analysis method, involving preparation, organising and reporting, to extract meaning and identify patterns from the qualitative data collected.

RESULTS

Developing peer group clinical supervision practice requires, clarity of purpose and function that address the pros and cons of clinical supervision. Organisational leadership is required to support and release staff for peer group clinical supervision and peer group clinical supervisors need to be credible and have a level of expertise in practice. When prepared and supported, the aspects of confidence, leadership, personal development and resilience develop.

CONCLUSION

Peer group clinical supervisors need training and ongoing continual professional development for their role, scope of practice and responsibilities. Sustainability rests on staff awareness and familiarity with the purpose and format of peer group clinical supervision and the regularity of sessions.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Peer group clinical supervision is a means of supporting improvement of patient care delivery while in parallel supporting personal and professional development of staff, building resilience in the workplace.

IMPACT

This study explored the implementation of peer group clinical supervision for staff across nursing and midwifery disciplines. It found that implementing peer group clinical supervision had a positive impact on staff well-being and morality and on patient care delivery. These findings influence healthcare service providers in implementing peer group clinical supervision in a sustainable way enabling nurses to continue working in complex healthcare environments delivering safe person-centred care.

REPORTING METHOD

The qualitative reporting guidelines Standards for Reporting Qualitative Research (SRQR) were followed.

PATIENT OR PUBLIC CONTRIBUTION

Patient/public involvement was addressed in this study by staff, managers, planners, directors, leaders and educationalists being involved at all stages of the study (concept, design, analysis and reporting).

Health workforce forecast in the university hospital: evidence from Lithuania

BACKGROUND

The increasing shortage of staff in healthcare facilities worldwide calls for a human resource planning strategy in order to ensure safe, timely and patient-centred care. The purpose of this paper is to provide an analysis and supply and demand projections of nurses, midwives, and radiographers within the labor market of the largest university hospital in the Baltic States by 2030.

METHODS

The staff supply was calculated on the intake and outflow of persons in the labour market annually for various factors. Projections for the demand of nurses, midwives, and radiographers took into account the different needs of the population, categorized by gender and age, for the services offered within the institution.

RESULTS

The analysis highlights significant projected shortages in the supply of nurses and radiographers by 2030, while the supply of midwives is expected to meet the demand. The projected supply of nurses in 2030 will be lower than in 2021. Projected nurses demand in 2025 according medium scenario - shortage of 59 nurses, on prospective scenario - of 331 nurses. In 2030 according medium scenario - shortage of 173 nurses on prospective - of 772 nurses. The projected supply of radiographers in 2030 will be higher than in 2021. Projected radiographers demand in prospective scenario which is the most likely in 2025 - shortage of 26 and in 2030 - shortage of 52 radiographers. The projected supply of midwives in 2030 will be higher than in 2021. The variables influencing the increase in the demand for midwives did not exceed the projected supply in the institution, indicating a balanced supply-demand scenario for midwives.

CONCLUSIONS

Due to the rising demand for nurse and radiographer services from the aging population, the predicted supply of nurses and radiographers will be insufficient. To ensure the projected demand for nurses in the medium and prospective scenarios, the nurses recruited each year should increase up to 38% in the medium scenario and 69% in the prospective scenario from 2022. In the prospective demand scenario, the recruitment of radiographers should increase three-fold and the recruitment of midwives should be reduced by 30%.

Clinical supervisor's experiences of peer group clinical supervision during COVID-19: a mixed methods study

BACKGROUND

Providing positive and supportive environments for nurses and midwives working in ever-changing and complex healthcare services is paramount. Clinical supervision is one approach that nurtures and supports professional guidance, ethical practice, and personal development, which impacts positively on staff morale and standards of care delivery. In the context of this study, peer group clinical supervision provides allocated time to reflect and discuss care provided and facilitated by clinical supervisors who are at the same grade/level as the supervisees.

METHODS

To explore the clinical supervisor's experiences of peer group clinical supervision a mixed methods study design was utilised within Irish health services (midwifery, intellectual disability, general, mental health). The Manchester Clinical Supervision Scale was used to survey clinical supervisors (n = 36) and semi-structured interviews (n = 10) with clinical supervisors were conducted. Survey data were analysed through SPSS and interview data were analysed utilising content analysis. The qualitative and quantitative data's reporting rigour was guided by the CROSS and SRQR guidelines.

RESULTS

Participants generally had a positive encounter when providing clinical supervision. They highly appreciated the value of clinical supervision and expressed a considerable degree of contentment with the supervision they provided to supervisees. The advantages of peer group clinical supervision encompass aspects related to self (such as confidence, leadership, personal development, and resilience), service and organisation (including a positive working environment, employee retention, and safety), and patient care (involving critical thinking and evaluation, patient safety, adherence to quality standards, and elevated levels of care).

CONCLUSION

There are many benefits of peer group clinical supervision at an individual, service, organisation, and patient level. Nevertheless, there is a need to address a lack of awareness and misconceptions surrounding clinical supervision to create an environment and culture conducive to realising its full potential. It is crucial that clinical supervision be accessible to nurses and midwives of all grades across all healthcare services, with national planning to address capacity and sustainability.

How can intersectoral collaboration and action help improve the education, recruitment, and retention of the health and care workforce? A scoping review

Inadequate numbers, maldistribution, attrition, and inadequate skill-mix are widespread health and care workforce (HCWF) challenges. Intersectoral-inclusive of different government sectors, non-state actors, and the private sector-collaboration and action are foundational to the development of a responsive and sustainable HCWF. This review presents evidence on how to work across sectors to educate, recruit, and retain a sustainable HCWF, highlighting examples of the benefits and challenges of intersectoral collaboration. We carried out a scoping review of scientific and grey literature with inclusion criteria around intersectoral governance and mechanisms for the HCWF. A framework analysis to identify and collate factors linked to the education, recruitment, and retention of the HCWF was carried out. Fifty-six documents were included. We identified a wide array of recommendations for intersectoral activity to support the education, recruitment, and retention of the HCWF. For HCWF education: formalise intersectoral decision-making bodies; align HCWF education with population health needs; expand training capacity; engage and regulate private sector training; seek international training opportunities and support; and innovate in training by leveraging digital technologies. For HCWF recruitment: ensure there is intersectoral clarity and cooperation; ensure bilateral agreements are ethical; carry out data-informed recruitment; and learn from COVID-19 about mobilising the domestic workforce. For HCWF retention: innovate around available staff, especially where staff are scarce; improve working and employment conditions; and engage the private sector. Political will and commensurate investment must underscore any intersectoral collaboration for the HCWF.

Exploring factors that affect nurse staffing: a descriptive qualitative study from nurse managers' perspective

BACKGROUND

The appropriate nurse staffing reflects the situation of nursing management of human resources. Nurse managers have a pivotal role in determining a competent and sufficient number of nurses. It is important to understand the factors influencing nurse staffing to promote appropriate staffing levels. The study aimed to explore the factors affecting nurse staffing from the perspective of nursing managers.

METHODS

Purposive sampling was adopted to recruit 14 nurse managers from secondary and tertiary hospitals located in the central region of China, and semi-structured interviews via telephone were conducted from April to May 2022. Interview transcripts were analyzed and collated using thematic analysis.

RESULTS

This research identified four themes and ten subthemes influencing nurse staffing. Extracted themes include: government level (inadequacy of mandatory policies, budgetary constraints), hospital level (hospital characteristics, the control of nurse labor costs, inadequate support on nursing), patient level (patient characteristics, increasing care needs), and nurse level (nurse shortage, skill-mix, individual high-level needs).

CONCLUSION

The findings indicate that it is crucial for decision-makers or policymakers to legislate for safe nurse staffing and establish effective supervision and funding incentives. Tailored interventions are also needed to improve the organizational context, address the nurse workforce and balance the structure of nurse staff.

Analysis of changes in the national mental health nursing workforce in England, 2011-2021

WHAT IS KNOWN ON THE SUBJECT?: Nurses work in mental health services around the world, constituting the largest professional group. Nurses have been identified as being potentially able to carry out a much wider range of functions than are typically allowed in practice, when provided with suitable training. There are long-term concerns regarding shortages of mental health nurses in England and many other countries. Workforce data is rarely subject to analysis in peer-reviewed journals. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: This paper provides a case study of the workforce patterns of a national mental health nurse (MHN) workforce overtime allowing comparison with other countries and specialities. MHN numbers reduced from 2011 to 2017, then increased to near the 2011 level by 2021, not meeting ambitious national plans for increasing numbers. The mental health nursing proportion of the total NHS nursing workforce decreased through this period. Advanced practice roles and skills are widely, but unevenly, distributed and are provided by a small proportion of nurses. The proportion of nurses working in community settings has increased to constitute more than half of all nurses for the first time. The ratio of support workers to nurses increased in inpatient settings and will continue to change. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Historical challenges in recruiting MHNs suggest that future plans to expand the profession are overly optimistic. To support the development of advanced practice roles and new skill sets, clearer research evidence of impact is required and clearer national guidance regarding best practice models. Good workforce data are essential to inform good workforce planning. ABSTRACT: Introduction Data regarding changes in characteristics of the MHN workforce is commonly cited in governmental publications, but is rarely analysed in peer-reviewed journals, despite ongoing concerns regarding high vacancy rates within mental health services. Aim The aim of the study was to characterize changes in the MHN workforce, implementation of new nursing roles/skills and alignment with national policy. Method Analysis of nationally published workforce data, peer-reviewed publications and governmental policy/planning documents. Results Nurse numbers declined from 2011 to 2017, subsequently returning to near 2011 levels, but remaining below national targets. Nurses in community settings increased to constitute more than half of all nurses, whilst inpatient numbers declined, although more slowly than bed numbers. The ratio between nurses and support workers changed due to more support workers in inpatient settings. New advanced skills and roles for nurses have increased, but are unevenly distributed, constituting a small proportion of the total workforce. Implications for Practice This paper provides a case study against which comparisons may be made with the nursing workforce in other countries and specialities. Even clear policy commitment to nursing growth may not deliver planned changes in numbers and introducing new roles may have uneven impact, especially in the absence of a robust evidence base.

Validation of the Nurse Managers' Work Content Questionnaire and Factors-A Structural Equation Modeling Study

BACKGROUND

The responsibilities of nurse managers are diverse and occasionally inadequately organized. Moreover, the role of nurse manager often lacks a clear job description. Few methodologies for evaluating the content of nurse managers' work exist.

PURPOSE

This study was designed to validate the Nurse Managers' Work Content Questionnaire (NMWCQ) instrument and to analyze the relationships between NMWCQ factors and background variables using structural equation modeling.

METHODS

A multicenter descriptive and cross-sectional study design was used. The NMWCQ, which includes 87 items across 13 components, was developed based on a comprehensive literature review and pilot study. The questionnaire was sent to all of the nurse managers ( N = 756) employed at eight Finnish hospitals in 2019. Exploratory and confirmatory factor analyses were used to psychometrically test and validate the NMWCQ, whereas Cronbach's alpha values were calculated to explore the internal consistency of the instrument. Structural equation modeling was applied to detect the relationships between the constructed factor structure and the background variables.

RESULTS

Two hundred seven nurse managers participated in this study. The final solution for the NMWCQ included 75 items across 12 factors. The NMWCQ factors were as follows: responsibility for new employees, daily management, human resource management, decision making, clinical nursing, development, planning of processes, collaboration, ensuring knowledge, evidence-based management, ensuring care quality, and financial management. The items showed factor loadings that were either positive or negative, with values ranging from .314 to .846. The Cronbach's alpha values for the factors ranged between .605 and .851. All of the covariances and relationships between background variables and factors were found to be significant ( p ≤ .05). The structural equation modeling showed acceptable index results (incremental fit index = .954, comparative fit index = .951, and root mean square error of approximation = .048).

CONCLUSIONS

The NMWCQ version assessed in this study shows a more robust structure than the previously published pilot version. Psychometric testing showed the NMWCQ as suitable for describing the diverse work requirements of nurse managers and may offer a framework for concretizing the job description of nurse managers.

Coping strategies that motivated frontline nurses while caring for the COVID-19 patients during the pandemic: A scoping review

BACKGROUND

The world faced a great health crisis during the COVID-19 pandemic. Consequently, the health care providers struggled and faced tremendous difficulties in treating high-load critical patients. This was particularly true in low- and middle-income countries where the work and patient loads are always higher and nurses at the forefront must deal with emergencies while being at high risk of exposure. However, little is known about the survival strategies of frontline nurses as dealt with the pandemic.

OBJECTIVES

This study catalogued the coping strategies of frontline nurses to deal with caring for the COVID-19 patients during the pandemic.

METHODS

The Arksey O'Malley framework was followed to conduct a scoping review. A systematic literature search was conducted using three databases: Google Scholar, Scopus and PubMed; and out of the 192 studies, 12 met the inclusion criteria set for this review study.

RESULTS

A total of 44 strategies were identified that motivated nurses to deal with the COVID-19 situation, and these strategies could be categorized into five main themes: nurses' self-strategies, nurses' strategies at the ethical level, employers' strategies, nursing leaders' strategies and supplementary strategies.

CONCLUSIONS

The findings of this study will provide guidance for health care workers, employers, policymakers, regulators and other stakeholders to adopt and promote different strategies in managing difficult emergency situations in future.

IMPLICATIONS FOR NURSING MANAGEMENT

This study emphasizes the importance of learning how to deal with adversity by health care workers and organizations in an emergency.

A Qualitative Descriptive Study of Nurse Manager Decision-Making Associated With RN Hiring

OBJECTIVE

To explore the practices and self-confidence of nurse manager (NM) decision-making related to evaluating RN hiring needs.

BACKGROUND

Evidence-based hiring strategies to sustain workforce stability were identified as a gap in the literature. Locally, inconsistencies in the method that NMs use to determine how many RNs to hire and at what frequency to hire them were observed, posing a threat to strategic workforce planning.

METHODS

Using a mixed-methods, qualitative descriptive design, researchers used in-depth interviews and surveys to assess current practices and NM confidence related to evaluating hiring needs.

RESULTS

The overarching theme among the 10 participants was false confidence. Subthemes reflected the dissonance in confidence and high variability in the hiring process. NM stress, time spent, and confidence were not correlated with years' experience.

CONCLUSIONS

NMs experience stress, spend excessive time, and use varying approaches to evaluate hiring needs. Years of managerial experience are unrelated to practical skills or level of confidence in hiring decision-making.

Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes

Due to the global ageing population, the increasing demand for long-term care services for the elderly has directed considerable attention towards the renovation of nursing homes. Although nursing homes play an essential role within residential elderly care, professional shortages have created serious pressure on the elderly service sector. Effective workforce planning is vital for improving the efficacy and workload balance of existing nursing staff in today's complex and volatile long-term care service market. Currently, there is lack of an integrated solution to monitor care services and determine the optimal nursing staffing strategy in nursing homes. This study addresses the above challenge through the formulation of nursing staffing optimisation under the blockchain-internet of things (BIoT) environment. Embedding a blockchain into IoT establishes the long-term care platform for the elderly and care workers, thereby decentralising long-term care information in the nursing home network to achieve effective care service monitoring. Moreover, such information is further utilised to optimise nursing staffing by using a genetic algorithm. A case study of a Hong Kong nursing home was conducted to illustrate the effectiveness of the proposed system. We found that the total monthly staffing cost after using the proposed model was significantly lower than the existing practice with a change of −13.48%, which considers the use of heterogeneous workforce and temporary staff. Besides, the care monitoring and staffing flexibility are further enhanced, in which the concept of skill substitution is integrated in nursing staffing optimisation.

Relationships between nurse managers' work activities, nurses' job satisfaction, patient satisfaction, and medication errors at the unit level: a correlational study

BACKGROUND

Nurse managers play a critical role in enhancing nursing and patient outcomes. The work of nurse managers, who can be described as middle-managers at health care organizations, is complex and changes on a daily basis. Only a few studies have clarified how nurse managers divide their time across various work activities. This study aimed to describe the relationships between nurse managers' work activities, nurses' job satisfaction, patient satisfaction, and medication errors at the hospital unit level.

METHODS

A cross-sectional and correlational study design was used. The data were collected from nurse managers (n = 29), nursing staff (n = 306), and patients (n = 651) from 28 units across three Finnish acute care hospitals between April and November 2017. In addition, data concerning medication errors (n = 468) over one calendar year (2017) were acquired from the hospitals' incident reporting register. Analysis of covariance (ANCOVA) was used to estimate relationships between data from subareas of Nurse Managers' Work Content Questionnaire, Kuopio University Hospital Job Satisfaction Scale, and Revised Humane Caring Scale, along with medication error reports. A significance level of 95% was applied when estimating the covariances between variables. Unstandardized regression coefficients (B) were used to explain the relationships between variables.

RESULTS

Multiple relationships between nurse managers' work activities, nurses' job satisfaction, patient satisfaction, and medication errors were identified. Nurse managers' work activities had both positive and negative relationships on the other studied variables. The Requiring factors of work (p < .001) subarea of nurses' job satisfaction, total patient satisfaction (p < .001), and medication errors (p < .001) were identified as the variables most significantly affected by other factors.

CONCLUSIONS

The findings suggest that nurse managers should focus on improving nursing practices by managing and organizing nurses' work in a way that makes their employees feel supported, motivated and secure. Furthermore, nurse managers should adopt a leadership style that emphasizes safe and patient-centered care. The results also suggest that the administration of today's health care organizations should actively evaluate nurse managers' share of work activities to ensure that their daily work is in line with the organizational goals.

Nurse staffing practices and adverse events in acute care hospitals: The research protocol of a multisite patient-level longitudinal study

Aims

We describe an innovative research protocol to: (a) examine patient‐level longitudinal associations between nurse staffing practices and the risk of adverse events in acute care hospitals and; (b) determine possible thresholds for safe nurse staffing.

Design

A dynamic cohort of adult medical, surgical and intensive care unit patients admitted to 16 hospitals in Quebec (Canada) between January 2015–December 2019.

Methods

Patients in the cohort will be followed from admission until 30‐day postdischarge to assess exposure to selected nurse staffing practices in relation to the subsequent occurrence of adverse events. Five staffing practices will be measured for each shift of an hospitalization episode, using electronic payroll data, with the following time‐varying indicators: (a) nursing worked hours per patient; (b) skill mix; (c) overtime use; (d) education mix and; and (e) experience. Four high‐impact adverse events, presumably associated with nurse staffing practices, will be measured from electronic health record data retrieved at the participating sites: (a) failure‐to‐rescue; (b) in‐hospital falls; (c) hospital‐acquired pneumonia and; and (d) venous thromboembolism. To examine the associations between the selected nurse staffing exposures and the risk of each adverse event, separate multivariable Cox proportional hazards frailty regression models will be fitted, while adjusting for patient, nursing unit and hospital characteristics, and for clustering. To assess for possible staffing thresholds, flexible non‐linear spline functions will be fitted. Funding for the study began in October 2019 and research ethics/institutional approval was granted in February 2020.

Discussion

To our knowledge, this study is the first multisite patient‐level longitudinal investigation of the associations between common nurse staffing practices and the risk of adverse events. It is hoped that our results will assist hospital managers in making the most effective use of the scarce nursing resources and in identifying staffing practices that minimize the occurrence of adverse events.

Lessons from Italian front-line nurses' experiences during the COVID-19 pandemic: A qualitative descriptive study

AIM

To explore nursing management issues within COVID-19 narratives of Italian front-line nurses.

BACKGROUND

The COVID-19 pandemic has dramatically affected health systems and professionals worldwide. Italian nurses have key messages for nursing leaders following their acute experiences in the pandemic.

METHOD

A descriptive qualitative study with thematic analysis.

RESULTS

Twenty-three testimonies from clinical nurses were analysed. Six macrothemes were identified as follows: organisational and logistic change; leadership models adopted to manage the emergency; changes in nursing approaches; personal protective equipment issues; physical and psychological impact on nurses; and team value/spirit.

CONCLUSIONS

Our testimonies highlighted the huge impact of COVID-19 on the Italian nursing workforce, especially in terms of the high risks associated with caring for COVID-19 patients, exacerbated by the shortage of appropriate personal protective equipment. Nurses had to care for their colleagues and live separately from their families to avoid infecting them, revealing nurses' resilience and the important role of effective and sensitive management.

IMPLICATIONS FOR NURSING MANAGEMENT

Nurse managers must be prepared for the impact of pandemics on staff and need to ensure availability and replacement of quality personal protective equipment, rehearse strategies for communicating with patients while wearing personal protective equipment and establish protocols for communicating with relatives.

Associations of 4 Nurse Staffing Practices With Hospital Mortality

Supplemental Digital Content is available in the text.

Background:

Cross-sectional studies of hospital-level administrative data have suggested that 4 nurse staffing practices—using adequate staffing levels, higher proportions of registered nurses (RNs) (skill mix), and more educated and experienced RNs—are each associated with reduced hospital mortality. To increase the validity of this evidence, patient-level longitudinal studies assessing the simultaneous associations of these staffing practices with mortality are required.

Methods:

A dynamic cohort of 146,349 adult medical, surgical, and intensive care patients admitted to a Canadian University Health Center was followed for 7 years (2010–2017). We used a multivariable Cox proportional hazards model to estimate the associations between patients’ time-varying cumulative exposure to measures of RN understaffing, skill mix, education, and experience, each relative to nursing unit and shift means, and the hazard of in-hospital mortality, while adjusting for patient and nursing unit characteristics, and modeling the current nursing unit of hospitalization as a random effect.

Results:

Overall, 4854 in-hospital deaths occurred during 3,478,603 patient-shifts of follow-up (13.95 deaths/10,000 patient-shifts). In multivariable analyses, every 5% increase in the cumulative proportion of understaffed shifts was associated with a 1.0% increase in mortality (hazard ratio: 1.010; 95% confidence interval: 1.002–1.017; P=0.009). Moreover, every 5% increase in the cumulative proportion of worked hours by baccalaureate-prepared RNs was associated with a 2.0% reduction of mortality (hazard ratio: 0.980; 95% confidence interval: 0.965–0.995, P=0.008). RN experience and skill mix were not significantly associated with mortality.

Conclusion:

Reducing the frequency of understaffed shifts and increasing the proportion of baccalaureate-prepared RNs are associated with reduced hospital mortality.

A scoping review of the nursing workforce's changing demography: Supporting Baby-Boomer nurses

AIMS

This scoping review discusses two telecommuting options to advance scholarship regarding Baby-Boomer nurses' delayed retirement and to extend their contribution to bedside nursing.

BACKGROUND

Peer-reviewed studies published in the 15 years before COVID-19 indicate that Baby-Boomer nurses' retirement will increase the global nursing shortage. However, three international trends have affected Baby-Boomer nurses' decision to delay their retirement.

EVALUATION

This review observed the scoping review framework.

KEY ISSUES

COVID-19 further disrupts the current understanding of Baby-Boomer nurses' retirement as they recognize COVID-19's impact on health care systems and younger nurses. Technological advancements and the changing needs of health care delivery have made telecommuting a practical possibility.

CONCLUSION

Baby-Boomer nurses can leverage alternative work arrangements to meet their needs and to contribute to clinical practice through telecommuting. This approach extends Baby-Boomer nurses' careers and creates a resource for bedside nurses.

IMPLICATIONS FOR NURSING MANAGEMENT

Clinical experience matters at the bedside. Telecommuting maximizes the retention of Baby-Boomer nurses' clinical expertise to benefit patients and to socialize bedside nurses. Baby-Boomer nurses can contribute to patient monitoring as well as patient education and counselling through telehealth. They can also provide asynchronous and synchronous telementoring to bedside nurses.

Effective workforce planning: Understanding final-year nursing and midwifery students' intentions to migrate after graduation

AIMS

To examine the factors influencing final-year nursing/midwifery students' intentions to migrate following graduation.

BACKGROUND

With expanding global staff shortages, effective recruitment and retention strategies targeted at new nursing/midwifery graduates are necessary. Understanding factors that influence graduates' decisions to migrate or remain in the health care organisation that supported their education is essential but under-researched.

METHODS

A cross-sectional electronic survey was distributed to graduating nursing/midwifery students across nine higher education institutions in Ireland with a 36% (N = 407) response rate.

RESULTS

85% of Irish (n = 376) nursing/midwifery graduating students reported an intention to migrate overseas and 70% intend to return within 5 years. Pay, working conditions and career were ranked as influencing intentions to migrate. Multivariable analysis illustrated that educational opportunities and friends predict migration, while family and obligation were protective factors.

CONCLUSION

Nursing and midwifery leaders and policymakers must reconsider recruitment and retention strategies and embrace innovative and responsive approaches to address migration intentions and trends.

IMPLICATIONS FOR NURSING/MIDWIFERY MANAGEMENT

Strategic leadership is required to develop effective structures that support personal, professional and career opportunities for new graduates. Targeted recruitment innovations to entice graduates back into the health service are recommended.

Knowledge Management and the Sustainable Development of Social Work

The growing shortage of skilled social workers, accompanied by an ageing population and the increasing number of fragile, elderly individuals that require social services, poses a serious challenge for our society. The magnitude of this problem is seen in the various predictions hypothesizing that, globally, there is likely to be a shortfall of millions of social workers for the successful provision of social services. To make matters worse, there are not enough social work students to fill that void, whereas the existing employee turnover is another serious concern for the social work field. Policy makers in many countries do not yet understand the pattern of growing needs and have no tool to forecast the future increase in educational requirements for creating a pool of adequately skilled social workers. In addition to this, understanding the patterns of workforce entrance and exit for social workers and the dynamics of transition becomes important for national policy and decision makers. In our paper, we build on current research about knowledge management in social work settings to demonstrate that knowledge management can have a positive impact in helping to fulfil the important role of social work in any ageing society. With our research, we contribute to the underdeveloped literature about knowledge management in the public sector and especially in social work settings and to the knowledge-based view of the organization. We present a multiple decrement model of social workers’ entrance and transition from social work student and social worker trainee to fully productive social worker, to their exit, whether by changed profession, retirement or death. We argue that the availability of social workers in a national economy depends on the development and operationalization of appropriate policies, where knowledge management can be influential. Our model allows measuring the quality of the national policy system related to the social work profession, something which has not been achieved yet, and shows how knowledge management solutions can positively influence the whole field of social work. We apply an objective measuring tool, grounded in an already developed actuarial–mathematical method. Our case relies on the collection and analysis of relevant data found in publicly available statistical reports for Slovenia. Existing data enables us to provide assumptions on how to better forecast the transition of social workers.

Patient classification systems used to classify nursing intensity and assess nursing staffing resources in home health care: A scoping review

OBJECTIVES

To identify the patient classification systems used to classify nursing intensity in the assessment of nursing staffing resources currently used in home health care, with a special emphasis on validity, reliability and staff allocation.

DESIGN

Scoping review of internationally published and grey literature, based on a methodological framework by Arksey and O'Malley.

DATA SOURCES

Searches of the electronic databases Cinahl, Medline, Embase and SweMed, the websites Google and Google Scholar and hand searches of reference lists occurred. Eligibility criteria included (A) a focus on patient classification systems measuring nursing intensity and workload in home health care and (B) published in English between January 2007 and March 2019. In level one testing two team members screened titles and abstracts, in level two testing two team members determined which papers should undergo a full text review. Data were extracted using structured extraction by one team member and verified by two other members.

RESULTS

Thirteen peer-reviewed articles and grey literature documents were identified, from Canada, Ireland, the UK, the USA, Scotland, Turkey and the Netherlands. Four patient classification systems had been tested for both validity and reliability. Validity was tested through face validity, predictive validity, concurrent validity or content validity index. Reliability was tested through stability, internal consistency, observer agreement or inter rater reliability. One patient classification system had been tested only for reliability, through interrater reliability and observer agreement. Two patient classification systems had been evaluated through summative evaluation; one qualitatively through focus group interviews and one through semi-structured interviews. Only one patient classification system had been validity and reliability tested and evaluated. Overall, the patient classification systems in the included papers (13) were considered to have benefits and to be appropriate for the measurement of patients' needs, workload and allocation of staff, although specific information was not always given.

CONCLUSION

Little has been published on validity or reliability tested patient classification systems linked to staffing allocation in home health care in the past decade. Limited research was seen where a patient classification system was considered to be fully operational in home health care.

Gender equality policies, nursing professionalization, and the nursing workforce: A cross-sectional, time-series analysis of 22 countries, 2000-2015

BACKGROUND

Nursing professionalization has substantial benefits for patients, health care systems, and the nursing workforce. Currently, however, there is limited understanding of the macro-level factors, such as policies and other country-level determinants, influencing both the professionalization process and the supply of nursing human resources.

OBJECTIVES

Given the significance of gender to the development of nursing, a majority-female occupation, the purpose of this analysis was to investigate the relationship between gender regimes and gender equality policies, as macro-level determinants, and nursing professionalization indicators, in this case the regulated nurse and nurse graduate ratios.

DESIGN

This cross-sectional, time-series analysis covered 16 years, from 2000 to 2015, and included 22 high-income countries, members of the Organisation for Economic Co-operation and Development. We divided countries into three clusters, using the gender policy model developed by Korpi, as proxy for gender regimes. The countries were grouped as follows: (a) Traditional family - Austria, Belgium, France, Germany, Greece, Italy, Netherlands, Portugal, and Spain; (b) Market-oriented - Australia, Canada, Ireland, Japan, New Zealand, South Korea, Switzerland, United Kingdom, and the United States; and (c) Earner-carer - Denmark, Finland, Norway, and Sweden.

METHODS

We used fixed-effects linear regression models and ran Prais-Winsten regressions with panel-corrected standard errors, including a first-order autocorrelation correction to examine the effect of gender equality policies on nursing professionalization indicators. Given the existence of missing observations, we devised and implemented a multiple imputation strategy, with the help of the Amelia II program. We gathered our data from open access secondary sources.

RESULTS

Both the regulated nurse and nurse graduate ratios had averages that differed across gender regimes, being the highest in Earner-carer regimes and the lowest in Traditional family ones. In addition, we identified a number of indicators of gender equality policy in education, the labour market, and politics that are predictive of the regulated nurse and nurse graduate ratios.

CONCLUSION

This study's findings could add to existing upstream advocacy efforts to strengthen nursing and the nursing workforce through healthy public policy. Given that the study consists of an international comparative analysis of nursing, it should be relevant to both national and global nursing communities.

Perceptions of nursing workloads and contributing factors, and their impact on implicit care rationing: A Queensland, Australia study

AIMS

To explore nurses' perceptions of factors affecting workloads and their impact on patient care.

BACKGROUND

Fiscal restraints and unpredictable patient illness trajectories challenge the provision of care. Cost containment affects the number of staff employed and the skill-mix for care provision. While organisations may acknowledge explicit rationing of care, implicit rationing takes place at the point of service as nurses are forced to make decisions about what care they can provide.

METHOD

A self-report cross sectional study was conducted using an on-line survey with 2,397 nurses in Queensland, Australia.

RESULTS

Twenty to forty per cent reported being unable to provide care in the time available; having insufficient staff; and an inadequate skill-mix. The respondents reported workload and skill-mix issues leading to implicit care rationing. Over 60% believed that the processes to address workload issues were inadequate.

CONCLUSIONS

Institutional influences on staffing levels and skill-mix are resulting in implicit care rationing.

IMPLICATIONS FOR NURSE MANAGERS

Adequate staffing should be based on patient acuity and the skill-mix required for safe care. Managers should be more assertive about adequate clinical workloads, involve staff in decision-making, and adopt a systematic planning approach. Failure to do so results in implicit care rationing impacting on patient safety.