Promoting Vaccine Uptake in Epidemics: A Model Emerging From the COVID-۱۹ Pandemic

سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 37

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شناسه ملی سند علمی:

JR_EBCJ-16-2_003

تاریخ نمایه سازی: 13 مرداد 1405

چکیده مقاله:

Background: COVID-۱۹ pandemic exposed both the critical role of vaccines and the challenges to their uptake, such as hesitancy, misinformation, and structural barriers. Existing strategies often lack integration and adaptability during crises. There's a clear need for an evidence-based, expert-informed model that unifies behavioral, structural, and policy approaches to guide vaccination efforts during epidemics.Aim: This research aimed to develop a multidimensional, consensus-based model for promoting vaccination during epidemics.Method: A mixed-methods design was conducted in three phases. First, a systematic scoping review identified global strategies for promoting vaccination during epidemics. In the second phase, a three-round Delphi study was carried out with ۳۰ experts. In the third phase, dynamic modeling was employed using Python.Results: A total of ۱۳۱ unique strategies were identified and categorized into six domains: Provision, Promotion, Public Awareness, People, Preconditions, and Prizes. Common recommendations included improving access, transparent communication, and culturally tailored campaigns. A Delphi study resulted in consensus on ۴۶ strategies, that ۲۸ received strong agreement. The highest-ranked strategies focused on large-scale promotional campaigns, use of visual media, accurate information dissemination, and prioritizing vulnerable groups. Dynamic modeling identified the Promotion and Provision domains as the highest-priority categories across multiple evaluation scenarios. Implications for Practice: The proposed model provides a dynamic, evidence-based framework for promoting vaccination during epidemics. By incorporating real-time adaptability, expert consensus, and socio-cultural responsiveness, it addresses limitations of static models and provides a practical tool for policymakers.

نویسندگان

Sara Taheri

Department of Health Management, Institute of Graduate Studies and Research, and Advanced Research Centre, European University of Lefke, TRNC-۱۰ Mersin, Lefke ۹۹۷۷۰, Northern Cyprus, Turkey.

Maryam Saadati

Department of Health Sciences Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran

Zahra Abdoli

Health Services Management, Islamic Azad University, Tehran, Iran

Leila Eslambolchi

PhD in health services management. Health Economics and Management Department, Tehran University of Medical Sciences, Tehran, Iran

Fatemeh Kazemi

Student Research Committee, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran

Alireza Jafari Azad

Resident of Physical Medicine and Rehabilitation, Tabriz University of Medical Sciences, Tabriz, Iran

Mahnaz Afshari

Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran

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  • Haberer JE, Van Der Straten A, Safren SA, Johnson MO, ...
  • Iacob CI, Ionescu D, Avram E, Cojocaru D. COVID-۱۹ pandemic ...
  • Rosenstock IM, Strecher VJ, Becker MH. The health belief model ...
  • Evans WD, Bingenheimer JB, Long M, Ndiaye K, Donati D, ...
  • Kelkar AH, Blake JA, Cherabuddi K, Cornett H, McKee BL, ...
  • Suess C, Maddock JE, Dogru T, Mody M, Lee S. ...
  • Fiebelkorn AP, Adelsberg S, Anthony R, Ashenafi S, Asif AF, ...
  • Bateman LB, Hall A, Hannon L, Ryan M, Osborne T, ...
  • Danmaisoro H, Eledi JM. Designing persuasive communication models for vaccine ...
  • Podolak I. How health organizations can apply scenario based planning ...
  • Crawshaw AF, Kitoko LM, Nkembi SL, Lutumba LM, Hickey C, ...
  • De Vos Klootwijk L, Kersten C. Lesson learned from a ...
  • Pennisi F, Genovese C, Gianfredi V. Lessons from the COVID-۱۹ ...
  • Gagneur A, Gutnick D, Berthiaume P, Diana A, Rollnick S, ...
  • Patel MS. Text-message nudges encourage COVID vaccination. Nature Publishing Group ...
  • Hopkins KL, Underwood T, Iddrisu I, Woldemeskel H, Bon HB, ...
  • Etowa J, Hyman I, Unachukwu U. Development and Evaluation of ...
  • Bashir K, Ouedraogo MO, Dharma C, Sobers M, Atukorale V, ...
  • Piltch-Loeb R, Nuñez Sahr J, Nelson LE, Vlahov D, Gershon ...
  • Weintraub RL, Subramanian L, Karlage A, Ahmad I, Rosenberg J. ...
  • Pavoncello V, Kislaya I, Andrianarimanana DK, Marchese V, Rakotomalala R, ...
  • Desborough J, Wright M, Parkinson A, Dykgraaf SH, Ball L, ...
  • Kiiza D, Semanda JN, Kawere BB, Ajore C, Wasswa CK, ...
  • Norman G, Kletter M, Dumville J. Interventions to increase vaccination ...
  • Fontaine G, Smith M, Langmuir T, Mekki K, Ghazal H, ...
  • Sarkis-Onofre R, Catalá-López F, Aromataris E, Lockwood C. How to ...
  • Haddaway NR, Page MJ, Pritchard CC, McGuinness LA. PRISMA۲۰۲۰: An ...
  • Braun V, Clarke V. Using thematic analysis in psychology. Qualitative ...
  • Hasson F, Keeney S, McKenna H. Research guidelines for the ...
  • Goulis B-VA, DG. The DELPHI method as a consensus and ...
  • Kendall M, Babington SB. " The Problem of m Rankings". ...
  • Viboud C, Vespignani A. The future of influenza forecasts. Proceedings ...
  • Baltussen R, Niessen L. Priority setting of health interventions: the ...
  • Kapiriri L, Razavi D. How have systematic priority setting approaches ...
  • Jiang T, Zhou X, Wang H, Dong S, Wang M, ...
  • Tavolacci MP, Dechelotte P, Ladner J. COVID-۱۹ vaccine acceptance, hesitancy, ...
  • Hammer CC, Cristea V, Dub T, Sivelä J. High but ...
  • Stevens J. The PANDEMIC framework for encouraging COVID-۱۹ vaccinations. American ...
  • Salali GD, Uysal MS. Effective incentives for increasing COVID-۱۹ vaccine ...
  • Sallam M, Dababseh D, Eid H, Al-Mahzoum K, Al-Haidar A, ...
  • Hernandez RG, Hagen L, Walker K, O’Leary H, Lengacher C. ...
  • De Figueiredo A, Simas C, Karafillakis E, Paterson P, Larson ...
  • Underwood T, Hopkins KL, Sommers T, Howell C, Boehman N, ...
  • Holdbrook LE, Hassan N, Clarke SK, Coakley A, Norrie E, ...
  • Liu S, Liu J. Understanding behavioral intentions toward COVID-۱۹ vaccines: ...
  • Sasaki S, Saito T, Ohtake F. Nudges for COVID-۱۹ voluntary ...
  • Vouking Z, Mengue C, Yauba S. Interventions to increase the ...
  • Unfried K, Priebe J. Vaccine hesitancy and trust in sub-Saharan ...
  • Sulis E, Terna P. An agent-based decision support for a ...
  • Rutten LJF, Zhu X, Leppin AL, Ridgeway JL, Swift MD, ...
  • Aloweidi A, Bsisu I, Suleiman A, Abu-Halaweh S, Almustafa M, ...
  • Souvatzi E, Katsikidou M, Arvaniti A, Plakias S, Tsiakiri A, ...
  • Kaňková J, Binder A, Matthes J. Health-related communication of social ...
  • Ramkissoon H. Social bonding and public trust/distrust in COVID-۱۹ vaccines. ...
  • Gondal N. Diffusion of innovations through social networks: Determinants and ...
  • ۵۶ . Spann B, Mead E, Maleki M, Agarwal N, ...
  • ۵۷ . Loewenson R, Villar E, Baru R, Marten R. ...
  • Azim T, Bhushan A, Del Rio Vilas VJ, Srivastava R, ...
  • Mouter N, Hernandez JI, Itten AV. Public participation in crisis ...
  • Aya Pastrana N, Agudelo-Londoño S, Franco-Suarez O, Otero Machuca J, ...
  • نمایش کامل مراجع