2.50
Hdl Handle:
http://hdl.handle.net/10755/159588
Type:
Presentation
Title:
Determining Demand for Nursing Workforce Using a Predictive Model
Abstract:
Determining Demand for Nursing Workforce Using a Predictive Model
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2003
Author:Cramer, Mary
Contact Address:GPCH, 985330 Nebraska Medical Center, Omaha, NE, 68118, USA
Co-Authors:Mike Shambaugh-Miller; Keith J. Mueller
The purpose of this demographic study is to determine future demand for RN workforce. The researchers’ model (see Figure 1) serves as the study’s framework and hypothesizes that demand for RN workforce can be predicted from demands for health services within a population. The rationale is that selected population demographics can predict patient conditions and concomitant needs for care modalities. Based on these predictions, various scenarios can be constructed using literature-based ratios to configure health service demand per population (e.g., demand for number of skilled nursing beds per population over 65 years). When literature-based nurse-to-patient ratios are applied to health service demand data (e.g., 3 RNs per 100 bed nursing facility) then estimates for nursing workforce demand can be determined. The study’s sample involves 93 counties. An Access database was created containing the demographic profiles of 93 counties. An extensive literature review revealed recommended nurse-to-patient ratios and health demand ratios. Associated patient conditions are being identified from the literature and based on each county’s demographic profile. During the study’s next phase, various scenarios will be configured for health care modalities and demand for service per county. The final three months of the project is devoted to creating the mathematical model and conducting sensitivity analysis of the data ratios. The final product will be a composite number of RNs needed per county, according to various scenarios and based on population demographics. The study’s results have potential application to other states facing nursing shortages. AN: MN030126
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleDetermining Demand for Nursing Workforce Using a Predictive Modelen_GB
dc.identifier.urihttp://hdl.handle.net/10755/159588-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Determining Demand for Nursing Workforce Using a Predictive Model</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2003</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Cramer, Mary</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">GPCH, 985330 Nebraska Medical Center, Omaha, NE, 68118, USA</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Mike Shambaugh-Miller; Keith J. Mueller</td></tr><tr><td colspan="2" class="item-abstract">The purpose of this demographic study is to determine future demand for RN workforce. The researchers&rsquo; model (see Figure 1) serves as the study&rsquo;s framework and hypothesizes that demand for RN workforce can be predicted from demands for health services within a population. The rationale is that selected population demographics can predict patient conditions and concomitant needs for care modalities. Based on these predictions, various scenarios can be constructed using literature-based ratios to configure health service demand per population (e.g., demand for number of skilled nursing beds per population over 65 years). When literature-based nurse-to-patient ratios are applied to health service demand data (e.g., 3 RNs per 100 bed nursing facility) then estimates for nursing workforce demand can be determined. The study&rsquo;s sample involves 93 counties. An Access database was created containing the demographic profiles of 93 counties. An extensive literature review revealed recommended nurse-to-patient ratios and health demand ratios. Associated patient conditions are being identified from the literature and based on each county&rsquo;s demographic profile. During the study&rsquo;s next phase, various scenarios will be configured for health care modalities and demand for service per county. The final three months of the project is devoted to creating the mathematical model and conducting sensitivity analysis of the data ratios. The final product will be a composite number of RNs needed per county, according to various scenarios and based on population demographics. The study&rsquo;s results have potential application to other states facing nursing shortages. AN: MN030126 </td></tr></table>en_GB
dc.date.available2011-10-26T22:09:12Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T22:09:12Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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