The influence of welfare state factors on nursing professionalization and nursing human resources: A time-series cross-sectional analysis, 2000-2015

Gunn, Virginia; Muntaner, Carles; Ng, Edwin; Villeneuve, Michael; Gea-Sanchez, Montserrat; Chung, Haejoo

Abstract

Aim The aim of this study was to examine the relationship between welfare states and nursing professionalization indicators. Design We used a time-series, cross-sectional design. The analysis covered 16 years and 22 countries: Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Japan, Netherlands, New Zealand, Norway, Portugal, South Korea, Spain, Sweden, Switzerland, United Kingdom, and the United States, allocated to five welfare state regimes: Social Democratic, Christian Democratic, Liberal, Authoritarian Conservative, and Confucian. Methods We used fixed-effects linear regression models and conducted Prais-Winsten regressions with panel-corrected standard errors, including a first-order autocorrelation correction. We applied the Amelia II multiple imputation strategy to replace missing observations. Data were collected from March-December 2017 and subsequently updated from August-September 2018. Results Our findings highlight positive connections between the regulated nurse and nurse graduate ratios and welfare state measures of education, health, and family policy. In addition, both outcome variables had averages that differed among welfare state regimes, the lowest being in Authoritarian Conservative regimes. Conclusion Additional country-level and international comparative research is needed to further study the impact of a wide range of structural political and economic determinants of nursing professionalization. Impact We examined the effects of welfare state characteristics on nursing professionalization indicators and found support for the claim that such features affect both the regulated nurse and nurse graduate ratios. These findings could be used to strengthen nursing and the nursing workforce through healthy public policies and increase the accuracy of health human resources forecasting tools.

Más información

Título según WOS: ID WOS:000481098100001 Not found in local WOS DB
Título de la Revista: JOURNAL OF ADVANCED NURSING
Volumen: 75
Número: 11
Editorial: Wiley
Fecha de publicación: 2019
Página de inicio: 2797
Página final: 2810
DOI:

10.1111/jan.14155

Notas: ISI