Building global capacity for COVID-19 vaccination through interactive virtual learning

被引:7
|
作者
Goldin, Shoshanna [1 ]
Hood, Nancy [2 ]
Pascutto, Alexandre [1 ]
Bennett, Celine [2 ]
de Lima, Ana Carolina Barbosa [2 ]
Devereaux, Nicole [2 ]
Caric, Aleksandra [1 ]
Rai, Karan [2 ]
Desai, Shalini [1 ]
Lindstrand, Ann [1 ]
Struminger, Bruce [2 ]
机构
[1] WHO, Geneva, Switzerland
[2] Univ New Mexico, Project ECHO, Albuquerque, NM 87131 USA
关键词
Workforce training needs; COVID-19; Capacity building; Peer-to-peer learning; Digital learning;
D O I
10.1186/s12960-022-00710-7
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background To support the introduction of the COVID-19 vaccine, the World Health Organization and its partners developed an interactive virtual learning initiative through which vaccination stakeholders could receive the latest guidance, ask questions, and share their experiences. This initiative, implemented between 9 February 2021 and 15 June 2021, included virtual engagement between technical experts and participants during a 15-session interactive webinar series as well as web and text-messaging discussions in English and French. Methods This article uses a mixed-methods approach to analyze survey data collected following each webinar and a post-series survey conducted after the series had concluded. Participant data were tracked for each session, and feedback surveys were conducted after each session to gauge experience quality and content usability. Chi-square tests were used to compare results across professions (health workers, public health practitioners, and others). Results The COVID-19 Vaccination: Building Global Capacity webinar series reached participants in 179 countries or 93% of the WHO Member States; 75% of participants were from low- and middle-income countries. More than 60% of participants reported using the resources provided during the sessions, and 47% reported sharing these resources with colleagues. More than 79% of participants stated that this initiative significantly improved their confidence in preparing for and rolling out COVID-19 vaccinations; an additional 20% stated that the initiative "somewhat" improved their confidence. In the post-series survey, 70% of participants reported that they will "definitely use" the knowledge derived from this learning series in their work; an additional 20% will "probably use" and 9% would "possibly use" this knowledge in their work. Conclusion The COVID-19 Vaccination: Building Global Capacity learning initiative used a digital model of dynamic, interactive learning at scale. The initiative enhanced WHO's ability to disseminate knowledge, provide normative guidance, and share best practices to COVID-19 vaccination stakeholders in real time. This approach allowed WHO to hear the information needs of stakeholders and respond by developing guidance, tools, and training to support COVID-19 vaccine introduction. WHO and its partners can learn from this capacity-building experience and apply best practices for digital interactive learning to other health programs moving forward.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Global Virtual Team Working during the Covid-19 Pandemic
    Barry, Phelim
    Kane, Bridget
    INTERACTING WITH COMPUTERS, 2023, 35 (05) : 681 - 690
  • [22] Diminished capacity to make treatment decision for COVID-19 vaccination in schizophrenia
    Stéphane Raffard
    Sophie Bayard
    Margot Eisenblaetter
    Philippe Tattard
    Jérôme Attal
    Yasmine Laraki
    Delphine Capdevielle
    European Archives of Psychiatry and Clinical Neuroscience, 2023, 273 : 511 - 515
  • [23] COVID-19 Government restriction policy, COVID-19 vaccination and stock markets: Evidence from a global perspective
    Yu, Xiaoling
    Xiao, Kaitian
    FINANCE RESEARCH LETTERS, 2023, 53
  • [24] Diminished capacity to make treatment decision for COVID-19 vaccination in schizophrenia
    Raffard, Stephane
    Bayard, Sophie
    Eisenblaetter, Margot
    Tattard, Philippe
    Attal, Jerome
    Laraki, Yasmine
    Capdevielle, Delphine
    EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE, 2022, 273 (2) : 511 - 515
  • [25] Forecasting Vaccination Growth for COVID-19 using Machine Learning
    Hartono, Aimee Putri
    Luhur, Callista Roselynn
    Qomariyah, Nunung Nurul
    5TH INTERNATIONAL CONFERENCE ON COMPUTING AND INFORMATICS (ICCI 2022), 2022, : 356 - 363
  • [26] Thrombosis and thrombocytopenia in COVID-19 and after COVID-19 vaccination
    Iba, Toshiaki
    Levy, Jerrold H.
    TRENDS IN CARDIOVASCULAR MEDICINE, 2022, 32 (05) : 249 - 256
  • [27] Skin manifestations of COVID-19 and after COVID-19 vaccination
    Reinhart, Manuel
    Metze, Dieter
    Braun, Stephan A.
    HAUTARZT, 2022, 73 (06): : 434 - 441
  • [28] Subacute Thyroiditis Following COVID-19 and COVID-19 Vaccination
    Duskin-Bitan, Hadar
    Robenshtok, Eyal
    Peretz, Alon
    Beckenstein, Tanya
    Tsur, Nir
    Netzer, Doron
    Cohen, Arnon D.
    Saliba, Walid
    Shimon, Ilan
    Gorshtein, Alexander
    ENDOCRINE PRACTICE, 2024, 30 (08) : 731 - 736
  • [29] Blended Learning - A Global Solution in the Age of COVID-19
    Devi, Barkha
    Sharma, Champa
    Lepcha, Nazung
    JOURNAL OF PHARMACEUTICAL RESEARCH INTERNATIONAL, 2021, 33 (41B) : 125 - 136
  • [30] Capacity-building for conducting COVID-19 vaccine effectiveness studies to enhance evidence-informed vaccination policymaking in the Eastern Mediterranean Region
    Kheirandish, Mehrnaz
    Karimian, Zahra
    Fahmy, Kamal
    Rashidian, Arash
    Hajjeh, Rana
    EASTERN MEDITERRANEAN HEALTH JOURNAL, 2023, 29 (07) : 561 - 568