Literature DB >> 20164064

An applied simulation model for estimating the supply of and requirements for registered nurses based on population health needs.

Gail Tomblin Murphy1, Adrian MacKenzie, Robert Alder, Stephen Birch, George Kephart, Linda O'Brien-Pallas.   

Abstract

Aging populations, limited budgets, changing public expectations, new technologies, and the emergence of new diseases create challenges for health care systems as ways to meet needs and protect, promote, and restore health are considered. Traditional planning methods for the professionals required to provide these services have given little consideration to changes in the needs of the populations they serve or to changes in the amount/types of services offered and the way they are delivered. In the absence of dynamic planning models that simulate alternative policies and test policy mixes for their relative effectiveness, planners have tended to rely on projecting prevailing or arbitrarily determined target provider-population ratios. A simulation model has been developed that addresses each of these shortcomings by simultaneously estimating the supply of and requirements for registered nurses based on the identification and interaction of the determinants. The model's use is illustrated using data for Nova Scotia, Canada.

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Year:  2009        PMID: 20164064     DOI: 10.1177/1527154409358777

Source DB:  PubMed          Journal:  Policy Polit Nurs Pract        ISSN: 1527-1544


  17 in total

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8.  Needs-based human resources for health planning in Jamaica: using simulation modelling to inform policy options for pharmacists in the public sector.

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9.  Application of the Workload Indicators of Staffing Need method to predict nursing human resources at a Family Health Service.

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10.  Improving the planning of the GP workforce in Australia: a simulation model incorporating work transitions, health need and service usage.

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