Leveraging Implementation Science for Effective Antimicrobial Resistance Education and Awareness in the WHO AFRO Region
Abstract
1. Introduction
2. Implementation Science Theoretical Frameworks (CFIR and TDF) and Applicability to AMR Education and Awareness
- I.
- The Consolidated Framework for Implementation Research (CFIR) provides a comprehensive framework for understanding the multiple factors influencing implementation outcomes. It identifies five major domains, including the following:
- Intervention characteristics, such as content, format, and delivery of educational materials, can impact the effectiveness of AMR campaigns. A study by Dyar et al. (2017) demonstrated that multifaceted interventions combining educational materials with feedback on prescribing practices were more effective in reducing inappropriate antibiotic use [11].
- Outer setting: External factors such as policies, regulations, and societal norms can influence the success of AMR awareness campaigns. The European Antibiotic Awareness Day (EAAD) campaign leverages policy support, media engagement, and partnerships with healthcare stakeholders to promote responsible antibiotic use in the region [12].
- Inner setting (the structural, socio-cultural, and organizational context in which implementation occurs): Organizational culture, leadership support, and resources within institutions/organizational settings can affect the implementation of AMR education initiatives. A study by Sikkens et al. (2017) demonstrated that a supportive leadership culture, adequate resources, and staff engagement were key factors in the success of stewardship efforts [13].
- Individual characteristics” Knowledge, attitudes, and beliefs of individuals targeted by AMR campaigns can influence their engagement and trigger behavior change [14].
- Process: Steps involved in implementing the intervention, such as planning, execution, and evaluation, have a bearing on the successful implementation and impact of the intervention.
- II.
- The Theoretical Domains Framework (TDF) provides a comprehensive approach to understanding and addressing behavior change by identifying key determinants and tailoring interventions accordingly. These include the following:
- Knowledge: Inadequate or lack of awareness about AMR and appropriate antimicrobial use can hinder behavior change [15].
- Beliefs about Consequences: Perceptions and apperception of the impact of inappropriate antimicrobial use can affect behavior [16].
- Social Influences: Social norms and peer influence can impact antimicrobial use-related behaviors [17].
- Environmental Context and Resources: Availability of resources and support within healthcare settings and institutions responsible for improving awareness and understanding of AMR through effective communication, education, and training can influence the effectiveness of AMR education and awareness interventions [18].
- III.
- Social Cognitive Theory (SCT): While not a central framework like CFIR or TDF, SCT complements implementation science by providing insights into how behavior change can be achieved and sustained through social and cognitive processes. It can be applied within the broader framework of implementation science to enhance understanding and effectiveness of interventions. SCT emphasizes the reciprocal interactions between individuals and their social environment in shaping behavior. It posits that behavior change is influenced by self-efficacy, observational learning, and social support. In the context of AMR education and awareness, the SCT can guide the development of interventions that strengthen self-efficacy, provide role models for behavior change, and engage influential individuals and organizations to enhance social support and normative behaviors. Modeling behavior through the observation of others can influence behavior change, as demonstrated by Castro-Sánchez et al. (2016) [19]. Belief in one’s ability to perform a behavior (self-efficacy) is a key predictor of behavior change [20]. Additionally, peers, healthcare providers, and community members can influence behavior change [21], and providing positive reinforcement for desired behaviors can encourage behavior change [22].
3. Integration of Implementation Science Frameworks for Improved Outcomes
- CFIR and TDF: The CFIR can be used to identify factors that influence implementation success, while the TDF can help in understanding behavior change among individuals involved in the implementation process. In relation to AMR, these two would enable a better understanding of the target audience and tailoring of education and awareness interventions.
- CFIR and SCT: The CFIR can help in identifying organizational factors influencing implementation, while SCT can provide insights into individual behavior change mechanisms.
- TDF and SCT: The TDF can help in identifying behavior change determinants, while SCT can provide a theoretical basis for understanding and predicting behavior change, as a critical factor influencing antimicrobial use, one of the key drivers of AMR.
4. Adapting Interventions to Local Contexts
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Thematic Cluster | Strategy | Enhanced Action |
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Cultural Relevance and Community Engagement | Cultural Competence and Diversity |
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Community Involvement and Co-creation |
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Communication and Knowledge Transfer | Contextualized Communication |
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Knowledge Translation |
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Capacity and Infrastructure | Capacity Building and Resource Planning |
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Policy and Institutional Alignment |
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Adaptability and Sustainability | Adaptive Implementation |
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Monitoring, Evaluation, and Learning |
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Sustainability Planning |
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Fuller, W.; Kapona, O.; Ahmed, Y.A. Leveraging Implementation Science for Effective Antimicrobial Resistance Education and Awareness in the WHO AFRO Region. Antibiotics 2025, 14, 861. https://doi.org/10.3390/antibiotics14090861
Fuller W, Kapona O, Ahmed YA. Leveraging Implementation Science for Effective Antimicrobial Resistance Education and Awareness in the WHO AFRO Region. Antibiotics. 2025; 14(9):861. https://doi.org/10.3390/antibiotics14090861
Chicago/Turabian StyleFuller, Walter, Otridah Kapona, and Yahaya Ali Ahmed. 2025. "Leveraging Implementation Science for Effective Antimicrobial Resistance Education and Awareness in the WHO AFRO Region" Antibiotics 14, no. 9: 861. https://doi.org/10.3390/antibiotics14090861
APA StyleFuller, W., Kapona, O., & Ahmed, Y. A. (2025). Leveraging Implementation Science for Effective Antimicrobial Resistance Education and Awareness in the WHO AFRO Region. Antibiotics, 14(9), 861. https://doi.org/10.3390/antibiotics14090861