A scoping review of nursing workforce planning and forecasting research

Squires, Allison; Jylhä, Virpi; Jun, Jin; Ensio, Anneli; Kinnunen, Juha

doi:10.1111/jonm.12510

Cited by 38 publications

(33 citation statements)

References 42 publications

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“…However, the findings of this study point to a systematic failure across all sectors to regulate workload and therefore care delivery. With the exception of rural and remote health facilities, which have historically had difficulties recruiting staff (Hegney, McCarthy, Rogers‐Clark, & Gorman, ; Squires, Jylha, Jun, Ensio, & Kinnunen, ), the perceptions were that insufficient staff employed was driven not by supply (Squires et al, ), but by fiscal constraint.…”

Section: Discussionmentioning

confidence: 99%

“…It would mean, however, that managers would need to be more assertive in speaking out regarding clinical workloads, a matter that Perron argues, should be part of a manager's job (Perron, ). In times of actual and predicted nurse shortages, nurse managers can directly influence the willingness or otherwise of nurses to work for an individual health service and this can lead to poor nurse retention (Squires et al, ).…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2018

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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

et al. 2018

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“…We argue that similar to the case of nursing staff shortages [45], specific models for workforce forecasting with regard to social workers will be gaining in importance and recognition. Effective forecasting models help managers and policy and decision makers to predict possible shortages or excesses of workforce and its consequences for organizational activities such as planning of activities and annual budgets [45]. Actual data from 2015 show that the European Union had the second highest old-age dependency ratio (29.2%) after Japan (42.7%).…”

Section: Introductionmentioning

confidence: 92%

Knowledge Management and the Sustainable Development of Social Work

2019

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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.

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“…In addition, research has shown that a considerable number of nurses experience high levels of job stress, which increases sickness absence and puts pressure on the remaining nurses causing a vicious circle of absenteeism (Van den Heede et al, ; Trybou et al, ). Evidence‐based decision‐making linking nurse staffing with constantly changing patients' care needs is therefore a much needed area of expertise (Squires, Jylha, Jun, Ensio, & Kinnunen, ).…”

Section: Introductionmentioning

confidence: 99%

Systematic review: Association between the patient–nurse ratio and nurse outcomes in acute care hospitals

2019

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Aims To evaluate and summarize current evidence on the relationship between the patient–nurse ratio staffing method and nurse employee outcomes. Background Evidence‐based decision‐making linking nurse staffing with staff‐related outcomes is a much needed research area. Although multiple studies have investigated this phenomenon, the evidence is mixed and fragmented. Evaluation A systematic literature search was conducted using PubMed, Embase, Web of Science, Cinahl, Cochrane Library and the ERIC databases. Thirty studies were identified, analysing eight selected key nurse outcomes. Key issue(s) Future research should focus on unit‐level data, incorporate other methodologies and aim for comparability between different types of clinical settings as well as different health care systems. Conclusion A relationship between the patient–nurse ratio and specific staff‐related outcomes is confirmed by various studies. However, apart from the patient–nurse ratio other variables have to be taken into consideration to ensure quality of care (e.g., skill mix, the work environment and patient acuity). Implications for Nursing Management Hospital management should pursue the access and use of reliable data so that the validity and generalizability of evidence‐based research can be assessed, which in turn can be converted into policy guidelines.

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A scoping review of nursing workforce planning and forecasting research

Abstract: Accurate nursing workforce forecasting can help nurse managers, administrators and policy makers to understand the supply and demand of the workforce to prepare and maintain an adequate and competent current and future workforce.

Cited by 38 publications

References 42 publications

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

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

Knowledge Management and the Sustainable Development of Social Work

Systematic review: Association between the patient–nurse ratio and nurse outcomes in acute care hospitals

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