gms | German Medical Science

Futures, Foresight & Horizon Scanning Conference 2024

13.11. - 14.11.2024, Newcastle Upon Tyne, UK

Analysis of driving factors influencing vaccine policy in Iran: a cross-impact analysis

Meeting Abstract

  • Salime Goharinezhad
  • Maziar Moradi-Lakeh
  • Ali Amirkafi
  • Seyed Mohsen Zahraei
  • Arash Tehrani-Banihashemi
  • Abdolreza Esteghamati

international HealthTechScan (i-HTS) by EuroScan international network e. V.. Futures, Foresight & Horizon Scanning Conference 2024. Newcastle Upon Tyne, UK, 13.-14.11.2024. Düsseldorf: German Medical Science GMS Publishing House; 2025. Doc07

doi: 10.3205/24ffhsc07, urn:nbn:de:0183-24ffhsc078

Veröffentlicht: 6. Juni 2025

© 2025 Goharinezhad et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Purpose: Despite significant progress in Iran's immunization programs, vaccine policymaking in the country still faces various challenges and shortcomings. To address these issues and ensure sustained progress toward achieving comprehensive vaccination policies, it is essential to identify the critical factors influencing vaccine policies in Iran. Our study aims to provide evidence-based insights that can inform the development of effective and equitable vaccine strategies, leading to a more sustainable and efficient approach to vaccination in the country.

Design/methodology/approach: This mixed-method study aimed to analyse the factors influencing the future of human vaccine policy using Cross Impact Analysis. Firstly, a scoping review was conducted to identify the factors affecting the future of human vaccine development. Secondly, a semi-structured interview was conducted with experts in this field to add more factors and confirm the identified factors within the Iranian context. Finally, a Cross-Impact Analysis (CIA) approach was applied to comprehend the complex relationships between the identified factors. Thematic analysis was used for the qualitative data, and MICMAC analysis was applied to characterize the relationships between the factors.

Findings: Seventeen key driving force factors were identified through comprehensive review and interviews. These factors were assigned weighted values ranging from zero to three and subsequently analysed using MICMAC software. Employing the Cross-Impact Analysis (CIA) technique, the study characterized the impact of each factor on vaccine policy and elucidated the intricate interactions between them. The findings underscored that robust leadership and governance, an innovative ecosystem, and well-established immunization information systems emerged as pivotal driving forces shaping vaccine policy in Iran.

Practical implications: This study provides evidence to assist policymakers in making informed decisions regarding vaccines in Iran. The findings suggest that enhancing access to vaccines, fostering trust in the healthcare system, and prioritizing equity in distribution can contribute to increased vaccination rates and a reduction in vaccine-preventable diseases.

Originality/value: This study provides a unique contribution to the field of vaccine policy by utilizing the cross-impact analysis to examine the complex interactions among various factors. The results of this analysis demonstrate that these interactions can significantly impact the overall system, highlighting the need for policymakers to consider multiple factors when formulating effective strategies. By revealing the significance of these interactions, this research offers valuable insights into the development of successful policies that can shape a desirable future for vaccine policy in Iran. Future studies could ratify the findings from this research by applying other methodological approaches.