Although in shortage, nursing workforce is still a significant contributor to life expectancy at birth

A cross-sectional study quantifies the independent contribution of nurses and midwives in child health outcomes

INTRODUCTION

As the largest profession within the healthcare industry, nursing and midwifery workforce (NMW) provides comprehensive healthcare to children and their families. This study quantified the independent role of NMW in reducing under-5 mortality rate (U5MR) worldwide.

DESIGN

A retrospective, observational and correlational study to examine the independent role of NMW in protecting against U5MR.

METHODS

Within 266 "countries", the cross-sectional correlations between NMW and U5MR were examined with scatter plots, Pearson's r, nonparametric, partial correlation and multiple regression. The affluence, education and urban advantages were considered as the potential competing factors for the NMW-U5MR relationship. The NMW-U5MR correlations in both developing and developed countries were explored and compared.

RESULTS

Bivariate correlations revealed that NMW negatively and significantly correlated to U5MR worldwide. When the contributing effects of economic affluence, urbanization and education were removed, the independent NMW role in reducing U5MR remained significant. NMW independently explained 9.36% U5MR variance. Multilinear regression selected NMW as a significant factor contributing an extra 3% of explanation to U5MR variance when NMW, affluence, education and urban advantage were incorporated as the predicting variables. NMW correlated with U5MR significantly more strongly in developing countries than in developed countries.

CONCLUSION

NMW, indexing nursing and midwifery service, was a significant factor for reducing U5MR worldwide. This beneficial effect explained 9.36% of U5MR variance which was independent of economic affluence, urbanization and education. The NMW may be a more significant risk factor for protecting children from dying under 5 years old in developing countries. As a strategic response to the advocacy of the United Nations to reduce child mortality, it is worthy for health authorities to consider a further extension of nurses and midwives' practice scope to enable communities to have more access to NMW healthcare services.

A greater nurse and midwife density protects against infant mortality globally

PURPOSE

As the largest profession within the health care workforce, nurses and midwives play a critical role in the health and wellness of families especially children and infants. This study suggests those countries with higher nurse and midwife densities (NMD) had lower infant mortality rates (IMR).

DESIGN AND METHODS

With affluence, low birthweight and urbanization incorporated as potential confounders, this ecological study analyzed the correlations between NMD and IMR with scatterplots, Pearson r correlation, partial correlation and multiple linear regression models. Countries were also grouped for analysing and comparing their Pearson's coefficients.

RESULTS

NMD inversely and significantly correlated to IMR worldwide. This relationship remained significant independent of the confounders, economic affluence, low birthweight and urbanization. Explaining 57.19% of IMR variance, high NMD was implicated in significantly reducing the IMR.

PRACTICE IMPLICATIONS

Countries with high NMD had lower IMRs both worldwide and with special regard to developing countries. This may interest healthcare policymakers, especially those from developing countries, to consider the impacts of global nursing and midwifery staffing shortages. Nurses and midwives are the group of healthcare professionals who spend most with infants and their carers. This may be another alert for the health authorities to extend nurses and midwives' practice scope for promoting infant health.

Modern medical services, a double-edged sword manages symptoms, but accumulates genetic background of cardiovascular diseases: A cross populational analysis of 217 countries

Background and Aims

Through reduced natural selection, measured with Biological State Index (I bs), modern medicine enables most people to survive well beyond the reproductive lifespan leading to deleterious gene accumulation in population. This study explored the role of reduced natural selection in increasing cardiovascular disease (CVD) incidence worldwide.

Methods

Country-specific estimates of CVD incidence and the index of reduced natural selection were captured for analysis of their correlation. Aging, affluence, obesity prevalence, and urbanization were considered as the potential confounders in the analyses.

Results

Worldwide, I bs was significantly correlated with CVD incidence in the bivariate correlation analyses. This relationship remains when the contributing effects from aging, affluence, obesity prevalence, and urbanization are removed in partial correlation model. Multiple linear regression (enter) shows that I bs is a significant predictor of CVD incidence. Stepwise multiple linear regression selects I bs as the variable having the second greatest influence on CVD incidence after ageing. I bs showed a significantly greater correlation with CVD incidence in low- and middle-income countries (LMICs) than in high-income countries.

Conclusion

Worldwide, through reducing natural selection, the side effects of healthcare services may have been partially contributing to the increase of CVD incidence worldwide with special regard to LMICs.

A lack of nurse autonomy impacts population health when compared to physician care: an ecological study

This study highlights that the contribution of nursing is secondary to physicians in overall population health (indexed with life expectancy at birth, e₍₀₎). Scatter plots, bivariate correlation and partial correlation models were performed to analyse the correlations between e₍₀₎ and physician healthcare and nursing healthcare respectively. Affluence, urbanization and obesity were incorporated as the potential confounders. The Fisher's r-to-z transformation was conducted for comparing the correlations. Multiple linear regression analyses were implemented for modelling that physicians' contributions to e₍₀₎ explain nurses'. Nursing healthcare correlated to e₍₀₎ significantly less strongly than physician healthcare in simple regressions. Nursing healthcare was in weak or negligible correlation to e₍₀₎ when physician healthcare was controlled individually or together with the three confounders. Physician healthcare remains significantly correlational to e₍₀₎ when nursing healthcare alone was controlled or when the three confounders were controlled. Linear regression revealed that nursing healthcare was a significant predictor for e₍₀₎ when physician healthcare was "not added" for modelling, but this predicting role became negligible when physician healthcare was "added". Our study findings suggested that nurses still work under the direction of physicians due to lack of autonomy. Without correction, health services will continue to transmit the invisibility of nursing healthcare from one generation of nurses to another.