Monday, February 11, 2008

[EQ] Health Human Resources Modelling: Challenging the Past, Creating the Future

Health Human Resources Modeling: Challenging the Past, Creating the Future

 

Linda O’Brien-Pallas, Gail Tomblin Murphy, Stephen Birch, George Kephart, Raquel Meyer, Karen Eisler, Lynn Lethbridge,  Amanda Cook

Canadian Health Services Research Foundation, Ottawa, Ontario - Canada

October 31, 2007

 

Available online as PDF [25P.] at:  http://www.fcrss.ca/final_research/ogc/pdf/OBrien-1_3_25.pdf

 

“…..Governments and managers are challenged to ensure that adequate and efficient nursing services are delivered to meet the health needs of Canadians and to support health-system goals. Concerns about nurse supply need to be analyzed with consideration of changing population health needs, the efficient delivery of health services and the workplace concerns of providers.

 

Traditional approaches to health human resource planning have relied on applying current provider-to-population ratios to projected future populations; however, these approaches fall short as changes in population health needs and in provider productivity are not taken into account. Guided by the conceptual framework for health human resource planning developed by O’Brien-Pallas, Tomblin Murphy and Birch (2005), this program expands existing demographic-focused approaches to health human resource planning by moving beyond considerations of supply and utilization towards an examination of the broader social, political, economic, geographic and technological influences on the health system.

 

Three separate but related projects were undertaken to link population health needs to health human resource planning, to illustrate the value and challenges in using health human resource data to inform policy decisions on nursing productivity and to generate evidence based retention policies to guide nursing workforce sustainability.
Using health survey data, project 1 explored the level, distribution and patterns of health indicators by demographic and social strata.

In project 2, productivity was studied by analyzing select acute care nursing services using Management Information Systems data for nursing hours and other inputs and Discharge Abstract Database data for inpatient episodes of care and severity.

Project 3 surveyed former nurses and registered nurses across six Canadian jurisdictions….”

 

TABLE OF CONTENTS

KEY IMPLICATIONS FOR DECISION MAKERS

EXECUTIVE SUMMARY

OVERALL CONTEXT OF THE PROGRAM

PROJECT ONE

PROJECT 2

PROJECT 3

Demographics.

Research Question 1.

Research Question 2

Research Question 3.

Research Question 4

Research Question 5

FURTHER RESEARCH

ADDITIONAL RESOURCES

REFERENCES

 

 

 

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