Exploring the links between macro-level contextual factors and their influence on nursing workforce composition

Gender equality policies, nursing professionalization, and the nursing workforce: A cross-sectional, time-series analysis of 22 countries, 2000-2015

BACKGROUND

Nursing professionalization has substantial benefits for patients, health care systems, and the nursing workforce. Currently, however, there is limited understanding of the macro-level factors, such as policies and other country-level determinants, influencing both the professionalization process and the supply of nursing human resources.

OBJECTIVES

Given the significance of gender to the development of nursing, a majority-female occupation, the purpose of this analysis was to investigate the relationship between gender regimes and gender equality policies, as macro-level determinants, and nursing professionalization indicators, in this case the regulated nurse and nurse graduate ratios.

DESIGN

This cross-sectional, time-series analysis covered 16 years, from 2000 to 2015, and included 22 high-income countries, members of the Organisation for Economic Co-operation and Development. We divided countries into three clusters, using the gender policy model developed by Korpi, as proxy for gender regimes. The countries were grouped as follows: (a) Traditional family - Austria, Belgium, France, Germany, Greece, Italy, Netherlands, Portugal, and Spain; (b) Market-oriented - Australia, Canada, Ireland, Japan, New Zealand, South Korea, Switzerland, United Kingdom, and the United States; and (c) Earner-carer - Denmark, Finland, Norway, and Sweden.

METHODS

We used fixed-effects linear regression models and ran Prais-Winsten regressions with panel-corrected standard errors, including a first-order autocorrelation correction to examine the effect of gender equality policies on nursing professionalization indicators. Given the existence of missing observations, we devised and implemented a multiple imputation strategy, with the help of the Amelia II program. We gathered our data from open access secondary sources.

RESULTS

Both the regulated nurse and nurse graduate ratios had averages that differed across gender regimes, being the highest in Earner-carer regimes and the lowest in Traditional family ones. In addition, we identified a number of indicators of gender equality policy in education, the labour market, and politics that are predictive of the regulated nurse and nurse graduate ratios.

CONCLUSION

This study's findings could add to existing upstream advocacy efforts to strengthen nursing and the nursing workforce through healthy public policy. Given that the study consists of an international comparative analysis of nursing, it should be relevant to both national and global nursing communities.

Nursing professionalization and welfare state policies: A critical review of structural factors influencing the development of nursing and the nursing workforce

Nursing professionalization is both ongoing and global, being significant not only for the nursing workforce but also for patients and healthcare systems. For this reason, it is important to have an in-depth understanding of this process and the factors that could affect it. This literature review utilizes a welfare state approach to examine macrolevel structural determinants of nursing professionalization, addressing a previously identified gap in this literature, and synthesizes research on the relevance of studying nursing professionalization. The use of a welfare state framework facilitates the understanding that the wider social, economic, and political system exercises significant power over the distribution of resources in a society, providing a glimpse into the complex politics of health and health care. The findings shed light on structural factors outside of nursing, such as country-level education, health, labor market, and gender policies that could impact the process of professionalization and thus could be utilized to strengthen nursing through facilitating increased professionalization levels. Addressing gender inequalities and other structural determinants of nursing professionalization could contribute to achieving health equity and could benefit health systems through enhanced availability, skill-level, and sustainability of nursing human resources, improved and efficient access to care, improved patient outcomes, and cost savings.

Examining the influence of country-level and health system factors on nursing and physician personnel production

BACKGROUND

A key component to achieving good patient outcomes is having the right type and number of healthcare professionals with the right resources. Lack of investment in infrastructure required for producing and retaining adequate numbers of health professionals is one reason, and contextual factors related to socioeconomic development may further explain the trend. Therefore, this study sought to explore the relationships between country-level contextual factors and healthcare human resource production (defined as worker-to-population ratio) across 184 countries.

METHODS

This exploratory observational study is grounded in complexity theory as a guiding framework. Variables were selected through a process that attempted to choose macro-level indicators identified by the interdisciplinary literature as known or likely to affect the number of healthcare workers in a country. The combination of these variables attempts to account for the gender- and class-sensitive identities of physicians and nurses. The analysis consisted of 1 year of publicly available data, using the most recently available year for each country where multiple regressions assessed how context may influence health worker production. Missing data were imputed using the ICE technique in STATA and the analyses rerun in R as an additional validity and rigor check.

RESULTS

The models explained 63 % of the nurse/midwife-to-population ratio (pseudo R (2) = 0.627, p = 0.0000) and 73 % of the physician-to-population ratio (pseudo R (2) = 0.729, p = 0.0000). Average years of school in a country's population, emigration rates, beds-per-1000 population, and low-income country statuses were consistently statistically significant predictors of production, with percentage of public and private sector financing of healthcare showing mixed effects.

CONCLUSIONS

Our study demonstrates that the strength of political, social, and economic institutions does impact human resources for health production and lays a foundation for studying how macro-level contextual factors influence physician and nurse workforce supply. In particular, the results suggest that public and private investments in the education sector would provide the greatest rate of return to countries. The study offers a foundation from which longitudinal analyses can be conducted and identifies additional data that may help enhance the robustness of the models.