scholarly journals Harnessing the power of the grassroots to conduct public health research in sub-Saharan Africa: a case study from western Kenya in the adaptation of community-based participatory research (CBPR) approaches

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Allan Kamanda ◽  
Lonnie Embleton ◽  
David Ayuku ◽  
Lukoye Atwoli ◽  
Peter Gisore ◽  
...  
2020 ◽  
Vol 3 (1) ◽  
pp. 93-132
Author(s):  
Rebecca Kuehl ◽  
Jenn Anderson ◽  
Sara Mehltretter Drury ◽  
Amanda Holman ◽  
Cerise Hunt ◽  
...  

This dialogue is focused on community-based participatory research (CBPR) part¬nerships that can shape public health research in RHM and health communica¬tion. The dialogue is based on a roundtable discussion that was held at the 2019 meeting of the Central States Communication Association in Omaha, Nebraska. Based on our experiences conducting CBPR across different areas of communica¬tion and public health, we oriented our dialogue around four key themes that seemed central to understanding CBPR in rhetoric of health and medicine (RHM): 1) defining community and CBPR; 2) discussing research methods and engaging community stakeholders; 3) considering ethics, and; 4) assessing out¬comes of CBPR. Based on this dialogue, we conclude with implications and applications, as well as further references for interested RHM and health com¬munication scholars.


2006 ◽  
Vol 23 (5) ◽  
pp. 472-478 ◽  
Author(s):  
Christine L. Savage ◽  
Yin Xu ◽  
Rebecca Lee ◽  
Barbara L. Rose ◽  
Mary Kappesser ◽  
...  

Author(s):  
Holly A. Taylor

Collection of data is essential to the practice of public health. This chapter provides a brief introduction to ethics and public health data collection, as well as an overview of chapters in the related section of The Oxford Handbook on Public Health Ethics. A key ethics challenge has been, and will remain, how best to balance the health of the community with the respect owed to individual citizens. The four chapters in this section examine various aspects of those ethics challenges, including those related to the scope of public health surveillance activities, the distinction between public health practice and public health research, community-based participatory research (CBPR), and the use of big data to answer public health research questions.


2007 ◽  
Vol 12 (9) ◽  
pp. 1009-1010 ◽  
Author(s):  
Shabbar Jaffar ◽  
Edward Mbidde ◽  
Alistair Robb ◽  
Alex Coutinho ◽  
Moses Muwanga ◽  
...  

Author(s):  
Tarun Reddy Katapally

UNSTRUCTURED Citizen science enables citizens to actively contribute to all aspects of the research process, from conceptualization and data collection, to knowledge translation and evaluation. Citizen science is gradually emerging as a pertinent approach in population health research. Given that citizen science has intrinsic links with community-based research, where participatory action drives the research agenda, these two approaches could be integrated to address complex population health issues. Community-based participatory research has a strong record of application across multiple disciplines and sectors to address health inequities. Citizen science can use the structure of community-based participatory research to take local approaches of problem solving to a global scale, because citizen science emerged through individual environmental activism that is not limited by geography. This synergy has significant implications for population health research if combined with systems science, which can offer theoretical and methodological strength to citizen science and community-based participatory research. Systems science applies a holistic perspective to understand the complex mechanisms underlying causal relationships within and between systems, as it goes beyond linear relationships by utilizing big data–driven advanced computational models. However, to truly integrate citizen science, community-based participatory research, and systems science, it is time to realize the power of ubiquitous digital tools, such as smartphones, for connecting us all and providing big data. Smartphones have the potential to not only create equity by providing a voice to disenfranchised citizens but smartphone-based apps also have the reach and power to source big data to inform policies. An imminent challenge in legitimizing citizen science is minimizing bias, which can be achieved by standardizing methods and enhancing data quality—a rigorous process that requires researchers to collaborate with citizen scientists utilizing the principles of community-based participatory research action. This study advances SMART, an evidence-based framework that integrates citizen science, community-based participatory research, and systems science through ubiquitous tools by addressing core challenges such as citizen engagement, data management, and internet inequity to legitimize this integration.


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