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Community-based participatory research in population-based health surveys - a case example from East Friesland (Germany)


 
 
 The ongoing community-based participatory research (CBPR) project is based on a representative cross-sectional study on health and well-being in a rural region of Germany (n = 655).
 
 
 
 We use a wide array of participatory methods to involve the general public, politicians and experts such as conferences open to the public including the use of the Mentimeter app, e-participation via an online-forum, working groups on topics identified by the public, a Delphi survey elicit expert opinions and focus groups to get deeper knowledge on key aspects.
 
 
 
 The results confirm the interest the public has in understanding better scientific research in the field of public health. The diversity of people (most notably age, social background) is a challenge in reaching out to people. Presenting statistical data to non-experts requires the researchers to re-think ways of presenting data, therefore basic knowledge on data research has to be taught. Usage of the tools such as the Mentimeter app offers a low-threshold for empowering people to take part in participatory conferences.
 
 
 
 Sustainability is of utmost importance for participatory research. The population not only has the need but deserves timely information on results. Key challenges are communication, building trust and implementing sustainable CBPR projects. CBPR helps in building mutual trust, knowledge and science - public co-operations. Conferences open to the public that are tailored to the public`s needs and competences show the great interest people have in scientific knowledge generated through population-based surveys. By participatory research, Public Health Science can contribute to society, empower the general public.
 
 
 
 There is an existing interest in CBPR by the general public. It can be assumed that promoting CBPR in a sustainable manner will increase that interest. The diversity of participants is a challenge as well as communicating scientific data to non-experts.
