# Global landscape and professionalization of infection preventionist education: comparative insights and future directions

**Authors:** Yu-long Cao, Jiao Shan, Xiao-yuan Bao, Meng Jin, Wei Huai, Yi-cheng Jin, Yi-xi Jin, Ze-xin Zhang, Ji-qiu Kuang

PMC · DOI: 10.3389/fpubh.2025.1736787 · 2026-01-09

## TL;DR

This paper examines how infection preventionist education varies globally and proposes a framework to improve its professionalization.

## Contribution

The paper introduces the 'IP Education Maturity Spectrum' framework to categorize and advance infection preventionist training worldwide.

## Key findings

- Global IP training systems can be classified into Nascent, Developing, and Established stages.
- Academic integration and digital education are key strategies for advancing IP education maturity.
- Professional identity challenges hinder the full professionalization of infection preventionists.

## Abstract

Healthcare-associated infections (HAIs) continue to pose a significant threat to global public health, underscoring the critical role of infection preventionists (IPs). However, considerable heterogeneity exists in IP training and credentialing worldwide. This mini-review synthesizes existing models from diverse healthcare systems into a unified “IP Education Maturity Spectrum.” This conceptual framework categorizes global training systems into Nascent, Developing, and Established stages, defined by their maturity across three dimensions: Institutional Integration, Competency Orientation, and Career Sustainability. Furthermore, we address the “Professional Identity Paradox”—the structural tension between the field’s multidisciplinary roots and the need for a specialized professional identity. Finally, we position academic integration, digital education, and global harmonization not merely as future trends, but as strategic interventions designed to propel systems up the maturity spectrum toward full professionalization.

## Linked entities

- **Diseases:** Healthcare-associated infections (MONDO:0043544)

## Full-text entities

- **Diseases:** HAIs (MESH:D003428), infection (MESH:D007239)

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Source: https://tomesphere.com/paper/PMC12827665