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The influence of welfare state factors on nursing professionalization and nursing human resources: A time‐series cross‐sectional analysis, 2000–2015
Authors:Virginia Gunn RN  MN   PhD  Carles Muntaner MHS  PhD  Edwin Ng BSW  MSW   PhD  Michael Villeneuve RN  MSc  Montserrat Gea‐Sanchez RN  MsN   PhD  Haejoo Chung RPh  MSc   PhD
Affiliation:1.

https://orcid.org/0000-0003-3104-9539;2. Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada;3. Collaborative Doctoral Program in Global Health, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada;4. Virginia Gunn, Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Ontario, Canada.;5. @carlesmuntaner;6. Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada;7. School of Social Work, Renison University College, University of Waterloo, Waterloo, ON, Canada;8. @Mike_villeneuve;9. Governance and Strategy, Canadian Nurses Association, Ottawa, ON, Canada;10. @MontserratGea;11. GESEC Group, Faculty of Nursing and Physiotherapy, University of Lleida, Lleida, Spain;12. GRECS Group, Biomedical Research Institute of Lleida, Lleida, Spain;13. Department of Public Health Sciences, Graduate School, Korea University, Seoul, South Korea;14. School of Health Policy & Management, College of Health Sciences, Korea University, Seoul, South Korea

Abstract:
Keywords:gender equality policies  health human resources  nurses/midwives/nursing  nursing forecasting tools  nursing professionalization  patient and health system outcomes  politics of health  structural political and economic factors  time‐series cross‐sectional design  welfare state regimes and policy
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