ArticleFrontiers in psychology2020
"#I-Am-Engaged": Conceptualization and First Implementation of a Multi-Actor Participatory, Co-designed Social Media Campaign to Raise Italians Citizens' Engagement in Preventing the Spread of COVID-19 Virus.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05118373 (Evaluation of a Generic Behavioural Change Campaign for COVID-19 Prevention in Zambia), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of a Generic Behavioural Change Campaign for COVID-19 Prevention in Zambia
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The role of social media on COVID-19 preventive behaviors worldwide, systematic review.PloS one · 2024Pooled it
- Engagement of Users in Digital Health Applications: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Understanding COVID: Collaborative Government Campaign for Citizen Digital Health Literacy in the COVID-19 Pandemic.Life (Basel, Switzerland) · 2023Article
- The public sector and co-creation in turbulent times: A systematic literature review on robust governance in the COVID-19 emergency.Public administration · 2022Article
- The politics of mask-wearing: Political preferences, reactance, and conflict aversion during COVID.Social science & medicine (1982) · 2022Article
- Patients' Engagement in Early Detection of COVID-19 Symptoms: An Observational Study in the Very Early Peak of the Pandemic in Italy in 2020.International journal of environmental research and public health · 2022Observational
- COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science.International journal of environmental research and public health · 2022Review
- Evaluation of a Social Media Campaign in Saskatchewan to Promote Healthy Eating During the COVID-19 Pandemic: Social Media Analysis and Qualitative Interview Study.Journal of medical Internet research · 2021Article
- Life After COVID-19: Rethinking the Healthcare System and Valuing the Role of Citizens' Engagement in Health Prevention.Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic forced health authorities around the world to introduce public health measures to contain the risks of contagion. This greatly impacted on citizens' quality of life, often raising concerns and reactance. There is an ongoing urgent need to promote and sustain behavioral changes and adherence to preventive measures. Based on the theoretical framework of the Patient Health Engagement Model and a participatory co-design process, a social media campaign aimed at improving citizens' health engagement toward behavioral change for preventing the spread of COVID-19 was promoted in Italy in the early months of the pandemic. In this paper, we describe the methodological process adopted to develop the campaign, its characteristics, and the first results-in terms of audience reach and engagement in its early implementation. The discussion of this grounded-up and citizen-centered approach to social campaign development highlights key ways of promoting learning, engaging citizens, and supporting their participation in the co-production of educational interventions for behavioral change toward preventive actions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.