A Study of Staffing Estimation for Nursing Manpower Demand in Hospital

1986 ◽  
Vol 16 (3) ◽  
pp. 108
Author(s):  
Yu Kyum Kim
1997 ◽  
Vol 23 (7) ◽  
pp. 760-765 ◽  
Author(s):  
D. Reis Miranda ◽  
R. Moreno ◽  
G. Iapichino
Keyword(s):  

Curationis ◽  
1982 ◽  
Vol 5 (2) ◽  
Author(s):  
F. De Villiers

It is essential that employers of nurses adopt a staff development policy. The trends regarding nursing manpower include increased demand; role change, expansion and development; improved staff utilisation. The education of nursing manpower will determine whether future challenges will be met. Problems in modern nursing, which include the effects of involvement in a service profession, reality shock and burnout, lead to loss of manpower or reduced productivity. A staff development policy can help to create a milieu in which these problems can be overcome.


2012 ◽  
Vol 4 (2) ◽  
pp. 43-56 ◽  
Author(s):  
James Wong ◽  
Albert Chan ◽  
Y.H Chiang

Forecasting manpower requirements has been useful for economic planners, policy makers and training providers in order to avoid the imbalance of skills in the labour market. Although reviews of the manpower planning models have been conducted previously, with the accumulated experience and the booming of advanced statistical techniques and computer programs, the study of forecasting practices has undrgone considerable changes and achieved maturity during the past decade. This paper assesses the latest employment and manpower dmand estimating methods by examining their rationale, strength and constraints. It aims to identify enhancements for further development of manpower forecasting model for the construction industry and compare the reliability and capacity of different forecasting metodologies. It is cocluded that the top-down forecasting approach is the dominant methodology to forecast occupational manpower demand. It precedes other methodologies by its dynamic nature and sensitivity to aa variety of factors affecting the level and structure of employment. Given the improvement of the data available, advanced modelling techniques and computer programs, manpower planning is likely to be more accessible with improved accuracy at every level of the society.  


2020 ◽  
Vol 9 (1) ◽  
pp. e000708 ◽  
Author(s):  
Yuzeng Shen ◽  
Lin Hui Lee

Triaging of patients at the emergency department (ED) is one of the key steps prior to initiation of doctor consult. To improve the overall wait time to consultation, we have identified the need to reduce the wait time to triage for ED patients. We seek to determine if the implementation of a series of plan, do, study, act (PDSA) cycles would improve the wait time to triage within 1 year. The interventions related to the PDSA cycles include the refining of triage criteria, ‘eyeball’ triage by senior nurses to facilitate direct bedding of patients, formation of a triage nurse clinician role, and a needs analysis of required nursing manpower. The baseline period for this study was from January 2017 to April 2017, with the results following implementation of the respective PDSA cycles sequentially tracked from May 2017 to March 2019. There was an improvement in the wait time to triage from a baseline duration of 18 min to the postimplementation period duration of 13 min, with a 25% decrease in variance from 16 to 12 min. The improvements were sustained. Strategies to further reduce wait time to triage at the ED are discussed. We also highlight the importance of adequate triage manpower, data-driven decision making and continued engagement of stakeholders in enabling positive outcomes from this quality improvement effort.


2015 ◽  
pp. 161-182 ◽  
Author(s):  
Wei Kiat Ang ◽  
Pauline C.J. Tan
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document