Hospital churn and casemix instability: implications for planning and educating the nursing workforce

2011 ◽  
Vol 35 (1) ◽  
pp. 95 ◽  
Author(s):  
Mary Chiarella ◽  
Jessica K. Roydhouse

Health workforce planning is a priority for Australian governments at both state and federal levels. Nursing shortages are a significant problem and addressing these shortages is likely to be a component of any workforce plan. This paper looks at the case of hospital nursing and argues that casemix, workforce and management instability inhibit workforce planning for hospital nursing. These issues are related and any efforts to objectively plan the hospital nursing workforce must seek to address them in order to succeed. What is known about the topic? Multiple Australian jurisdictions are looking at the issue of health workforce planning. The nursing workforce is a major component of the health workforce and nursing shortages are a problem affecting many healthcare systems and hospitals, and present significant challenges to planning for the nursing workforce. What does this paper add? This paper explores the barriers to health workforce planning with regard to acute-care hospital nursing and identifies three inter-related instabilities that are obstacles to objective health workforce planning for this group of health professionals. In addition, the paper sets out strategies to address these instabilities, most specifically in relation to the role and preparation of acute-care nurses. What are the implications for practitioners? The paper provides insight into the factors that affect workforce planning and the relationships between them, and the implications of these factors for nurses’ skill and educational requirements.

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Sinha Chandni Sen ◽  
LaSalle Colette ◽  
Argabright Debra ◽  
Hollenbeck Clarie B

2021 ◽  
pp. 1-7
Author(s):  
Martina Madl ◽  
Marietta Lieb ◽  
Katharina Schieber ◽  
Tobias Hepp ◽  
Yesim Erim

<b><i>Background:</i></b> Due to the establishment of a nationwide certification system for cancer centers in Germany, the availability of psycho-oncological services for cancer patients has increased substantially. However, little is known about the specific intervention techniques that are applied during sessions in an acute care hospital, since a standardized taxonomy is lacking. With this study, we aimed at the investigation of psycho-oncological intervention techniques and the development of a comprehensive and structured taxonomy thereof. <b><i>Methods:</i></b> In a stepwise procedure, a team of psycho-oncologists generated a data pool of interventions and definitions that were tested in clinical practice during a pilot phase. After an adaptation of intervention techniques, interrater reliability (IRR) was attained by rating 10 previously recorded psycho-oncological sessions. A classification of interventions into superordinate categories was performed, supported by cluster analysis. <b><i>Results:</i></b> Between April and June 2017, 980 psycho-oncological sessions took place. The experts agreed on a total number of 22 intervention techniques. An IRR of 89% for 2 independent psycho-oncological raters was reached. The 22 techniques were classified into 5 superordinate categories. <b><i>Discussion/Conclusion:</i></b> We developed a comprehensive and structured taxonomy of psycho-oncological intervention techniques in an acute care hospital that provides a standardized basis for systematic research and applied care. We expect our work to be continuously subjected to further development: future research should evaluate and expand our taxonomy to other contexts and care settings.


Author(s):  
James Asamani ◽  
Christmal Christmals ◽  
Gerda Reitsma

Although the conceptual underpinnings of needs-based health workforce planning have developed over the last two decades, lingering gaps in empirical models and lack of open access tools have partly constrained its uptake in health workforce planning processes in countries. This paper presents an advanced empirical framework for the need-based approach to health workforce planning with an open-access simulation tool in Microsoft® Excel to facilitate real-life health workforce planning in countries. Two fundamental mathematical models are used to quantify the supply of, and need for, health professionals, respectively. The supply-side model is based on a stock-and-flow process, and the need-side model extents a previously published analytical frameworks using the population health needs-based approach. We integrate the supply and need analyses by comparing them to establish the gaps in both absolute and relative terms, and then explore their cost implications for health workforce policy and strategy. To illustrate its use, the model was used to simulate a real-life example using midwives and obstetricians/gynaecologists in the context of maternal and new-born care in Ghana. Sensitivity analysis showed that if a constant level of health was assumed (as in previous works), the need for health professionals could have been underestimated in the long-term. Towards universal health coverage, the findings reveal a need to adopt the need-based approach for HWF planning and to adjust HWF supply in line with population health needs.


Author(s):  
Mª José Calero-García ◽  
Alfonso J. Cruz Lendínez

The first objective of this research is to establish and study how the different stages of cognitive impairment and the levels of dependence evolve in patients over 65 years of age, admitted to an acute care hospital, as well as the relationship between these factors and the different social and demographical variables. The results show that the level of dependence decreases suddenly at the time of admission and undergoes a slight recovery at the time of discharge. Although this recovery continues at home after discharge, patients do not get the same level of independence that they used to have before admission. In addition, significant differences in terms of age, marital status and education level were found. In general, our results show that elderly men over 80 years of age, without no education and widowers are more likely to suffer from severe cognitive impairment and be more functionally dependent when admitted to hospital.


2011 ◽  
Vol 52 (8) ◽  
pp. 988-994 ◽  
Author(s):  
M. Deutscher ◽  
S. Schillie ◽  
C. Gould ◽  
J. Baumbach ◽  
M. Mueller ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document