Relative remoteness and wage differentials in the Canadian allied health professional workforce

INTRODUCTION

Health workforces around the world are characterized with geographic maldistribution, often leading to inequalities in rural health outcomes. Monetary incentives are frequently raised as a policy option to bolster recruitment of healthcare practitioners to rural and underserved communities; however, few rural health workforce studies focus on allied health professionals (AHPs), include urban comparators, integrate gender considerations, or measure rural diversity. This population-based observational study examines trends in the geographic and gender distribution and earnings of AHPs in Canada across the rural-urban continuum.

METHODS

Nationally representative data from the 2006 and 2016 Canadian population censuses were pooled and linked with the geocoded Index of Remoteness for all inhabited communities. Five groups of university-educated AHPs providing prevention, diagnostic evaluation, therapy, and rehabilitation services were identified by occupation. Multiple linear regression models were used to estimate the associations between relative remoteness and annual earnings of AHPs aged 25-54 years, controlling for gender and other personal and professional characteristics.

RESULTS

The density of AHPs was found to be 15 times higher in more urbanized and accessible parts of the country (23.6-25.6 per 10 000 population in 2016) compared to the most rural and remote areas (1.6 per 10 000 population), a pattern that changed little over the previous decade. A positive correlation was seen across occupations in terms of the degree of feminization and their geographic dispersion by relative remoteness. While pharmacists residing in more rural and remote communities earned 9% (95% confidence interval 4-15%) more than those in core urban centers, relative remoteness contributed little to wage differentials among dentists, physiotherapists and occupational therapists, or other AHPs in therapy and assessment (no significant difference at p<0.05). Women earned significantly less than men in dentistry, pharmacy, and physical or occupational therapy, after adjusting for remoteness and other characteristics.

CONCLUSION

This study did not find consistent wage disparities by relative remoteness as characterizing allied health professions in Canada. The evidence base to support financial incentives to AHPs to reduce perceived opportunity costs associated with working and living in rural and underserved areas remains limited. More research is needed on the intersections of rurality, gender, and wage differentials among AHPs in different national contexts.

Rural and urban disparities in anemia among Peruvian children aged 6-59 months: a multivariate decomposition and spatial analysis

INTRODUCTION

Anemia is a global public health issue that affects mainly children aged less than 5 years. In Peru, despite the reduction in the prevalence of anemia between 2010 and 2018, anemia remains a major concern, especially in high-risk zones such as rural areas. Several sociodemographic factors have been associated with anemia in children; however, components contributing to the urban-rural gap have not been previously assessed. The purpose of this study was to evaluate the determinants of the difference in anemia prevalence between urban and rural areas, and its spatial distribution in Peruvian children aged 6-59 months.

METHODS

A secondary data analysis was conducted using the 2019 Peruvian Demographic Health Survey. The study population included 18 846 children aged 6-59 months. A multivariate decomposition analysis for non-linear response model was performed to identify the factors contributing to the gap in the prevalence of anemia across urban and rural areas. Global Moran&acute;s I autocorrelation, Ordinary Kriging interpolation and Bernoulli-based purely spatial scan statistics were employed to assess the spatial pattern of anemia.

RESULTS

Nationwide, the prevalence of anemia in Peru was 29.47% (95%CI 28.63-30.33). In rural areas, it was 38.25%, and in urban areas 26.39%. The decomposition analysis revealed that 88.61% of the difference in the prevalence of anemia between urban and rural areas was attributed to the difference in the respondents' characteristics. Wealth index, mother&acute;s education, mother&acute;s employment status, number of living children and mother&acute;s age were key determinants contributing to the rural-urban gap. Spatial heterogeneity of anemia prevalence in childhood was observed at both inter- and intradepartmental level. The SaTScan spatial analysis identified six significant cluster areas with high prevalence of anemia in childhood.

CONCLUSION

A considerable gap of anemia prevalence between urban and rural areas was found. Targeted interventions are necessary to reduce geographic disparities.