2019
DOI: 10.1016/j.ijnurstu.2019.103388
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Gender equality policies, nursing professionalization, and the nursing workforce: A cross-sectional, time-series analysis of 22 countries, 2000–2015

Abstract: Està subjecte a una llicència de Reconeixement-NoComercial-SenseObraDerivada 4.0 de Creative Commons

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Cited by 22 publications
(18 citation statements)
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“…For this reason, future research and strategies are needed to continue to standardize and collect HHRs indicators ( WHO 2017 ) and harmonize education and practice requirements ( Frenk et al., 2010 , Koff, 2017 , Palese et al., 2014 ). Other significant challenges are a limited understanding of macro-level factors, including gender inequalities, affecting the development of HHRs, which could pose further challenges to accurate HW forecasting and planning strategies ( V. Gunn et al., 2019 , George et al., 2017 , V. Gunn et al., 2019 , V. Gunn et al., 2019 , Newman, 2014 , Squires et al., 2016 ).…”
Section: Discussion - Evidence Gaps and The Rationale For Addressing Themmentioning
confidence: 99%
See 1 more Smart Citation
“…For this reason, future research and strategies are needed to continue to standardize and collect HHRs indicators ( WHO 2017 ) and harmonize education and practice requirements ( Frenk et al., 2010 , Koff, 2017 , Palese et al., 2014 ). Other significant challenges are a limited understanding of macro-level factors, including gender inequalities, affecting the development of HHRs, which could pose further challenges to accurate HW forecasting and planning strategies ( V. Gunn et al., 2019 , George et al., 2017 , V. Gunn et al., 2019 , V. Gunn et al., 2019 , Newman, 2014 , Squires et al., 2016 ).…”
Section: Discussion - Evidence Gaps and The Rationale For Addressing Themmentioning
confidence: 99%
“…This increased vulnerability of migrant workers stems from a combination of factors including their disproportionately high representation in (i) front-line and entry-level jobs, (ii) precarious employment that involves low pay and several casual or part-time jobs at multiple health institutions, and (iii) health sectors—such as long-term care—that are severely affected by the pandemic due to years of neglect, chronic health provider shortages, understaffing, lack of investments in staff training, and shortages of protection equipment ( H. Dempster and Smith, 2020 , Mbiba et al., 2020 , Stoichet, 2020 , Canadian Nurses Association, 2020 , Ghazal et al., 2019 ). Moreover, gender inequalities and care ethics affecting the overall health care workforce ( V. Gunn et al., 2019 , Rossiter and Godderis, 2020 , Tronto, 2015 ) engaged in the pandemic response efforts also affect migrant health care workers, who are in majority women, further complicating their employment situation. Not surprisingly, migrant HWs experience higher rates of coronavirus infections and worse health outcomes ( D.S.…”
Section: Discussion - Evidence Gaps and The Rationale For Addressing Themmentioning
confidence: 99%
“…Specifically, for this study, a panel regression analysis can measure how policy measures, such as labour laws and societal shifts, including more women choosing to study STEM disciplines, have impacted the level of female participation in transport-related professions during the decade studied. For similar reasons, panel data analysis has been used in existing studies that explain gender differences in the workforce across countries (Gunn et al, 2019;Olivetti, 2014;Charles, 2003). A random effects model was used in order to understand the differences between countries and within countries over time.…”
Section: Methodsmentioning
confidence: 99%
“…Bukht et al (2017) obtained statistical investigations on the topic, and Ahmad et al (2019) proposed analytical frameworks for measuring the digital divide. The more recent investigations conduct their studies on the large sets of variables where they perform cross-sectional analysis or time-series analysis (Gunn et al, 2019).…”
Section: Enterprise Digital Dividementioning
confidence: 99%