IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-00808536.html
   My bibliography  Save this paper

Literature review of the decision-­‐making determinants related to the influenza vaccination policy

Author

Listed:
  • Maria-Laura Silva

    (Centre Léon Bérard [Lyon], GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Lionel Perrier

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Jean Marie Cohen

    (GROG - Réseau des Groupes Régionaux d'Observation de la Grippe - Coordination nationale)

  • Anne Mosnier

    (GROG - Réseau des Groupes Régionaux d'Observation de la Grippe - Coordination nationale)

  • John Paget

    (Netherlands Institute for Health Services Research - Netherlands Institute for Health Services Research)

  • Hans-Martin Späth

    (SIS - Santé Individu Société - UL2 - Université Lumière - Lyon 2 - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - HCL - Hospices Civils de Lyon - UJM - Université Jean Monnet - Saint-Étienne - INSERM - Institut National de la Santé et de la Recherche Médicale)

Abstract

Background : Seasonal influenza concerns the worldwide population every year, whilst pandemic influenza is an unpredictable threat. Due to an important socioeconomic impact, mitigation measures must be specified. Governments elaborate vaccination policy based on scientific evidence. However, this process is, in general, not transparent. Objectives : To study the decision-making process related to the influenza vaccination policy, identifying the actors involved, the decisions made and describing the information used by type and level of importance. Methods : Six major databases were searched in seven languages, without time limit, using keywords related to influenza vaccination, decision-making and health policy. Titles and abstracts were screened according to three established criteria. Selected articles were analysed and compared against a checklist for context, stakeholders and evidence. Results : 111 articles were retrieved since the 1990s, most of them (40%) were conducted in the USA. The decision-making process mainly concerned vaccination strategies (53%) and pandemic preparedness (28%). Stakeholders were identified at an institutional, production and consumer level. Evidence used by policy-makers was similar (e.g. logistics of vaccines), but the factors influencing were different (e.g. social conditions). Conclusion : Considering the imminent risk of socio-economic disruption and media pressure, the pandemic threat needs to be integrated into an analysis of decision making processes regarding seasonal influenza vaccination.

Suggested Citation

  • Maria-Laura Silva & Lionel Perrier & Jean Marie Cohen & Anne Mosnier & John Paget & Hans-Martin Späth, 2013. "Literature review of the decision-­‐making determinants related to the influenza vaccination policy," Working Papers halshs-00808536, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00808536
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00808536
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00808536/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Reza Yaesoubi & Ted Cohen, 2011. "Dynamic Health Policies for Controlling the Spread of Emerging Infections: Influenza as an Example," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-11, September.
    2. Dupras, C. & Williams-Jones, B., 2012. "The expert and the lay public: Reflections on influenza A (H1N1) and the risk society," American Journal of Public Health, American Public Health Association, vol. 102(4), pages 591-595.
    3. Kamradt-Scott, A., 2012. "Changing perceptions of pandemic influenza and public health responses," American Journal of Public Health, American Public Health Association, vol. 102(1), pages 90-98.
    4. Stephen E. Chick & Hamed Mamani & David Simchi-Levi, 2008. "Supply Chain Coordination and Influenza Vaccination," Operations Research, INFORMS, vol. 56(6), pages 1493-1506, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anil Aswani & Zuo-Jun Max Shen & Auyon Siddiq, 2019. "Data-Driven Incentive Design in the Medicare Shared Savings Program," Operations Research, INFORMS, vol. 67(4), pages 1002-1026, July.
    2. Begen, Mehmet A. & Pun, Hubert & Yan, Xinghao, 2016. "Supply and demand uncertainty reduction efforts and cost comparison," International Journal of Production Economics, Elsevier, vol. 180(C), pages 125-134.
    3. Yaesoubi, Reza & Roberts, Stephen D., 2011. "Payment contracts in a preventive health care system: A perspective from Operations Management," Journal of Health Economics, Elsevier, vol. 30(6), pages 1188-1196.
    4. Terry A. Taylor & Wenqiang Xiao, 2014. "Subsidizing the Distribution Channel: Donor Funding to Improve the Availability of Malaria Drugs," Management Science, INFORMS, vol. 60(10), pages 2461-2477, October.
    5. Cai, Jianhu & Hu, Xiaoqing & Jiang, Feiying & Zhou, Qing & Zhang, Xiaoyang & Xuan, Liyuan, 2019. "Optimal input quantity decisions considering commitment order contracts under yield uncertainty," International Journal of Production Economics, Elsevier, vol. 216(C), pages 398-412.
    6. Metzker Soares, Paula & Thevenin, Simon & Adulyasak, Yossiri & Dolgui, Alexandre, 2024. "Adaptive robust optimization for lot-sizing under yield uncertainty," European Journal of Operational Research, Elsevier, vol. 313(2), pages 513-526.
    7. Margherita, Alessandro & Elia, Gianluca & Klein, Mark, 2021. "Managing the COVID-19 emergency: A coordination framework to enhance response practices and actions," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    8. Sinha, Priyank & Kumar, Sameer & Chandra, Charu, 2023. "Strategies for ensuring required service level for COVID-19 herd immunity in Indian vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 304(1), pages 339-352.
    9. Biswas, Debajyoti & Alfandari, Laurent, 2022. "Designing an optimal sequence of non‐pharmaceutical interventions for controlling COVID-19," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1372-1391.
    10. Maria C. Jansen & Osman Y. Özaltın, 2017. "Note on Cournot Competition Under Yield Uncertainty," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 305-308, May.
    11. Vijaya Sunder M & Anupama Prashar, 2023. "State and citizen responsiveness in fighting a pandemic crisis: A systems thinking perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 170-193, January.
    12. Awi Federgruen & Nan Yang, 2009. "Competition Under Generalized Attraction Models: Applications to Quality Competition Under Yield Uncertainty," Management Science, INFORMS, vol. 55(12), pages 2028-2043, December.
    13. Ángel Benigno González-Avilés & Carlos Pérez-Carramiñana & Antonio Galiano-Garrigós & Fernando Ibarra-Coves & Claudia Lozano-Romero, 2022. "Analysis of the Energy Efficiency of Le Corbusier’s Dwellings: The Cité Frugès, an Opportunity to Reuse Garden Cities Designed for Healthy and Working Life," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    14. Westerink-Duijzer, L.E. & Schlicher, L.P.J. & Musegaas, M., 2019. "Fair allocations for cooperation problems in vaccination," Econometric Institute Research Papers EI2019-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Yan, Wei & Xiong, Yu & Chu, Junhong & Li, Gendao & Xiong, Zhongkai, 2018. "Clicks versus Bricks: The role of durability in marketing channel strategy of durable goods manufacturers," European Journal of Operational Research, Elsevier, vol. 265(3), pages 909-918.
    16. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2022. "Influenza vaccine supply chain coordination under uncertain supply and demand," European Journal of Operational Research, Elsevier, vol. 297(3), pages 930-948.
    17. Guo, Feiyu & Cao, Erbao, 2021. "Can reference points explain vaccine hesitancy? A new perspective on their formation and updating," Omega, Elsevier, vol. 99(C).
    18. Muhammad Umar Farooq & Amjad Hussain & Tariq Masood & Muhammad Salman Habib, 2021. "Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
    19. Lotty E. Westerink‐Duijzer & Loe P. J. Schlicher & Marieke Musegaas, 2020. "Core Allocations for Cooperation Problems in Vaccination," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1720-1737, July.
    20. Pan, Yuqing & Cheng, T.C.E. & He, Yuxuan & Ng, Chi To & Sethi, Suresh P., 2022. "Foresighted medical resources allocation during an epidemic outbreak," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

    More about this item

    Keywords

    decision-making; public health policy; influenza vaccination;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:halshs-00808536. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.