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Health human resources modelling: challenging the past, creating the future
Ottawa; s.n; oct. 31, 2007. 25 p. ilus.
Non-conventional in English | RHS Repository | ID: biblio-913749
Responsible library: BR1.1
ABSTRACT
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. (AU)
Subject(s)
Full text: Available Collection: Tematic databases Health context: SDG3 - Target 3C: Increase health financing and the recruitment, development, training and retention of the health workforce / Sustainable Health Agenda for the Americas Health problem: Healthcare Workforce Management / Goal 3 Human resources for health / Goal 6: Information systems for health Database: RHS Repository Main subject: Personnel Management / Health Workforce Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Year: 2007 Document type: Non-conventional
Full text: Available Collection: Tematic databases Health context: SDG3 - Target 3C: Increase health financing and the recruitment, development, training and retention of the health workforce / Sustainable Health Agenda for the Americas Health problem: Healthcare Workforce Management / Goal 3 Human resources for health / Goal 6: Information systems for health Database: RHS Repository Main subject: Personnel Management / Health Workforce Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Year: 2007 Document type: Non-conventional
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