ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2021
[Demand-driven communication strategy of the Federal Centre for Health Education (BZgA) during the COVID-19 pandemic].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- [Health information behaviour and health literacy on COVID-19 vaccination of the general population in Germany-findings from the CoSiD study].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022Article
- [Frequently asked questions (FAQ) in risk communication about COVID-19: creation and significance as an inter-institutional rapid reaction tool].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022Review
- Acceptance and needs of medication literacy education among children by their caregivers: A multicenter study in mainland China.Frontiers in pharmacology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the declaration of a pandemic situation of national significance by the German Bundestag, the Federal Centre for Health Education (BZgA) is fulfilling its task of providing information for understanding the pandemic situation and implementing the necessary protective measures in a clear manner throughout Germany within the framework of the adapted National Pandemic Plan COVID-19. The BZgA targets its information according to the needs of specific groups and actively involves multipliers.In order to incorporate the perspectives of the population as well as those of prevention and health promotion professionals into the services developed by the BZgA, given the particularly initial low level of knowledge in the population, various methods and data sources were used: the COVID-19 Snapshot Monitoring (COSMO) population survey, the monitoring of citizens' enquiries via telephone and e‑mail to the BZgA, surveys of counselling professionals from nationwide telephone and online counselling centres, surveys of health professionals in early help (NZFH) and interdisciplinary practice expert hearings. Beyond providing pure information, practical and everyday offers should be developed and provided according to WHO guidelines and evidence-based criteria of effective communication in order to support the competences for a gradual adaptation to a "new normality".The paper describes the data-based and evidence-informed development process of communication content and offers, their dissemination via existing websites and channels for other topics as well as their integration into the new online platform www.zusammengegencorona.de . This demonstrates how demand-driven and target group-specific communication offers can be implemented beyond the classic and proven campaign appearance.
Indexed as
Identifiers
What OpenQuestion holds
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.