ArticleHuman resources for health2026
Wage gap among Iranian nurses: a decomposition analysis in Southern Iran.
Article in Human resources for health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundNurses are crucial for high-quality healthcare, but there's a growing shortage. Wage inequality is a significant problem among nurses, affecting both nurses and patient care. This study investigates the wage gap among nurses in Iran.
methodsThis study examined wage inequality among 595 nurses using wage quartiles, Lorenz curves, and a Gini coefficient (GC) decomposition. The decomposition method was used to analyze the contributions of within, between, and overlap subgroups to the overall wage inequality, along with the population share, wage share, and GC for each subgroup of nurses.
resultsThe findings revealed that nurses in the top quartile earn 2.03 times more than nurses in the bottom quartile, with respective wage rates of $9.31 and $4.58. The total GC for nurses' wages was 0.16, indicating a moderate wage gap. Among nurses, those in specialized roles had the highest wage at $9.10 based on Purchasing Power Parity (PPP). This was followed by nurses aged over 40 years ($8.30), nurses with over 15 years of work experience ($8.15), and those working in psychiatric centers ($8.08). Conversely, the lowest wage rates among nurses were observed in those working in non-provincial hospitals ($5.51), followed by nurses in the private sector ($5.73), and nurses working in general hospitals ($5.76). The GC analysis revealed that the highest wage inequality was among nurses working in hospitals specializing in Ophthalmology and ENT (GC = 0.23), the private sector (GC = 0.18), and emergency departments (GC = 0.18). Conversely, the lowest wage inequality was observed in nurses working at the surgery department (GC = 0.10) and cardiology hospitals (GC = 0.11).
conclusionsThe wage gap among Iranian nursing staff was moderate. Work experience, employment type, age, number of children, hospital specialty, workplace sector, and department significantly affected wage inequality among nurses, while gender and academic qualifications had no significant impact on the wage gap. Considering the importance of the wage gap for nurses' motivation and function, policymakers should consider these key determinants and develop targeted strategies to mitigate the wage gap among nurses.
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