Empowering Communities: The HEKA Research Initiative
Communities lead HIV research, shaping outcomes through collaboration and data ownership.
Nancy Tahmo, Anthony Noah, Byron Odhiambo, Charles Kyalo, Elly Ondiek, Fortune Ligare, Gilbert Asuri, Jedidah Wanjiku, John Alex Njenga, John Maina, Kennedy Mwendwa, Kennedy Olango, Kennedy Ouma, Loice Nekesa, Pascal Macharia, Silvano Tabbu, Kristy CY Yiu, Robert Lorway, Parinita Bhattacharjee, Huiting Ma, Lisa Lazarus, Sharmistha Mishra, Jeffrey Walimbwa
― 8 min read
Table of Contents
- The Evolution of Community Involvement
- Achievements and Challenges in Collaboration
- Capacity Building and Empowerment
- The HEKA Research Initiative
- The Process of Collaboration
- The Importance of Community and Academic Partnerships
- Lessons Learned
- Overcoming Challenges
- The Road Ahead
- Conclusion
- Original Source
In recent years, communities have actively stepped into the world of HIV research. They have moved from being portrayed as mere victims to becoming powerful players in the game. These communities have shown that they can lead their own research and advocate for their needs. The focus has shifted towards a more inclusive approach, where the voices of those affected by HIV are heard and valued.
The Evolution of Community Involvement
Historically, HIV activism has led to a major change in how people living with the virus are perceived. Instead of being seen solely as victims, they are now recognized as vital contributors to research and prevention strategies. This shift began as communities demanded a say in the research process. They wanted their experiences and insights to shape studies that directly impact their lives.
One example of this community involvement is the formation of Community Advisory Boards. These boards consist of people from the community who advise researchers on how to conduct studies in ways that are respectful and beneficial to those affected by HIV.
In 2007, the Joint United Nations Programme on HIV/AIDS introduced a framework called Good Participatory Practice, which focused on ensuring that communities have a clear role in biomedical research. This framework aimed to create a more balanced power dynamic, ensuring that communities were not just consulted but were active partners in the research process.
Achievements and Challenges in Collaboration
Despite significant progress, there are still gaps in how communities are involved in Quantitative Research, such as mathematical modeling related to HIV and sexually transmitted infections (STIs). Often, community input is seen as just a formality, rather than a genuine effort to incorporate their perspectives.
A recent review uncovered several issues with community and academic collaboration, including a disconnect between research objectives and community priorities, concerns about compensation for community members, and a lack of evaluation on the impact of these collaborations.
Many reports on community engagement tend to focus on the experiences and lessons learned from researchers, which may overlook valuable insights from the community members themselves. This can lead to a paternalistic approach where researchers dictate the terms, rather than fostering a partnership that respects the expertise of community organizations.
Capacity Building and Empowerment
One traditional solution to bridge the gap has been to offer short training sessions to community staff. However, this often does not address the deeper issues of capacity and independence. Community organizations may find themselves lacking the skills needed to analyze their own data or to secure funding for their programs.
In Kenya, there have been some promising initiatives, like the G10 network, which seeks to empower communities to lead their own research efforts. Yet, many of these initiatives still function primarily as advisory boards, rather than fully empowering communities to take charge.
To address these challenges, a new approach called program science was developed. Program science promotes a two-way relationship between researchers and communities. Instead of researchers simply informing communities, both sides learn from each other. This model focuses on using community data to inform research, and in turn, using research findings to improve community programs.
The HEKA Research Initiative
In 2022, seven community-based organizations in Kenya joined forces to form the HEKA Research Initiative. This collaborative effort aimed to lead quantitative research using their own program data. The organizations serve gay, bisexual, and other men who have sex with men (GBMSM), a group that faces disproportionately high rates of HIV and STIs.
The HEKA initiative aimed to be a shining example of how communities can take ownership of their data and use it to improve health outcomes. The organizations involved had already been collecting valuable data from their programs, but now they wanted to turn that data into actionable insights.
The Process of Collaboration
The journey began with open conversations among the organizations. They realized that many had been excluded from important research discussions in the past. To foster collaboration, they established regular meetings to discuss their priorities and gaps in research expertise. They sought to build capacity within their teams to analyze data and improve their programs.
To further their goals, they contacted academic partners to help co-design a skill development plan. These partnerships were crucial for equipping community researchers with the necessary tools and knowledge to effectively analyze their own data.
Funding played a significant role in the success of HEKA. The organizations prioritized applying for grants that would allow them to conduct workshops and training sessions. Although the COVID-19 pandemic introduced some setbacks, it also provided an opportunity for the organizations to reassess their approaches and strengthen their data collection efforts.
In November 2023, the HEKA team organized their first in-person workshop. This three-day event was designed to blend teaching with hands-on exercises, allowing participants to gain practical skills in data analysis. With an emphasis on collaboration, attendees worked together to formulate research questions and plan future projects.
The Importance of Community and Academic Partnerships
The HEKA initiative stands out for its commitment to a co-leadership model. This means that all seven organizations share leadership responsibilities, ensuring that everyone has a voice in decision-making. This collaborative environment fosters trust and encourages open dialogue among team members.
Through this partnership, community researchers have shifted from being merely data collectors to becoming active users of the data they generate. They are now involved in analyzing and interpreting their own data, leading to deeper insights and better-informed program adjustments. This empowerment is not just about gathering data; it’s about using that data to drive real change in their communities.
Lessons Learned
The HEKA initiative has provided valuable lessons that other community-based organizations can learn from. The focus on co-leadership has proven effective in ensuring that all voices are heard and respected. By sharing responsibilities, community organizations have built a sense of ownership over their research initiatives.
The partnership also emphasized the importance of hands-on learning. Participants were able to engage with data cleaning and management processes, gaining essential skills that will help them in the long run. The use of R programming language for data analysis opened up new avenues for exploration and understanding.
As the initiative continues to develop, the community members reflect on their journey. They recognize that the ability to analyze their own data not only strengthens their programs but also helps build a case for the importance of community-led research. Instead of waiting for external researchers to lead the way, they are taking charge of their own research narratives.
Overcoming Challenges
While the HEKA initiative has made strides, it also faced challenges along the way. A key challenge has been ensuring sustained engagement through funding. Community researchers often juggle multiple responsibilities, leading to potential burnout. To combat this, the initiative prioritized compensating staff and covering logistical costs for meetings.
Learning pace differences among community researchers also posed a challenge. Some members came with more experience than others, which created disparities in how quickly they could grasp new concepts. To address this, the initiative plans to provide more workshops and training days, ensuring everyone is on the same level.
The socio-political climate in Kenya also presented hurdles. Rising anti-LGBTQI+ movements made it necessary to postpone in-person meetings for the safety of participants. The team adapted by using virtual platforms for communication, but this was not without its limitations.
Long travel times to meetings were another hurdle. The fatigue from long journeys could impact productivity during workshops. To make future meetings more efficient, the initiative considers funding travel arrangements, such as booking flights for remote team members.
Lastly, the data abstraction process proved to be tricky at times. Variations in data capturing methods led to challenges in data extraction and cleaning. The HEKA initiative recognizes the need for ongoing training in data management to streamline this process.
The Road Ahead
The HEKA Research Initiative is a promising model of how communities can lead their own research and use their insights to drive effective HIV and STI prevention. By leveraging their own programmatic data, participating organizations are paving the way for a more equitable and inclusive research landscape.
The initiatives have already sparked discussions about future research projects. Some of the key areas for exploration include understanding the root causes of new HIV and STI infections, examining patterns of HIV prevention drug usage, and analyzing the impact of supply chain disruptions on STI services.
As they move forward, HEKA aims to prioritize building fundamental skills in mathematical modeling. This goal will allow community researchers to further their understanding of disease transmission and prevention strategies, ultimately enhancing the effectiveness of their programs.
Conclusion
The HEKA Research Initiative showcases the power of community-led research. It highlights how collaboration between community organizations and academic partners can yield fruitful results. By empowering communities to take charge of their own data and research, HEKA is setting a new standard for how we approach HIV and STI prevention.
With continued support and engagement, the lessons learned from this initiative can serve as a roadmap for other organizations seeking to enhance their own research capabilities. As communities around the world strive to address public health challenges, the HEKA initiative proves that when given the opportunity, they can lead the charge towards impactful change.
Who knew that tackling complex health issues could also lead to such inspiring partnerships? With a little bit of humor and a lot of heart, the HEKA initiative emphasizes the importance of voices from the ground up, working together to make a lasting difference in the fight against HIV and STIs.
Original Source
Title: From community as data providers to community as data users: developing a community-led research platform using program data in HIV/STI Program Science in Kenya
Abstract: BackgroundCommunity-based organizations (CBOs) are critical in providing trusted and targeted HIV/STI services to gay, bisexual, and other men who have sex with men (GBMSM). Despite significant strides in CBOs involvement in HIV/STI research, there remain gaps in meaningful engagement, especially in quantitative research. This paper explores the development of HEKA, a community-led research platform where community-based organizations build capacity and leverage routinely collected program data to design research that aims to improve HIV/STI programs. We share a collective reflection on the lessons learned in the process, the challenges that emerged, and recommendations for facilitating community-based program science. MethodologyThrough a collaborative process, seven CBOs serving GBMSM in Kenya created the HEKA Research Initiative and designed a framework of collaboration, through which we assessed the technical gaps in quantitative research among staff, applied for funding, co-designed capacity-building workshops with academic partners, and developed a research agenda. We established a monthly meeting frequency and through collective reflection, documented the lessons and challenges in the process. OutcomesWith our successful grant, we organized an in-person workshop on quantitative research methods and R programming. The team identified research questions and completed data cleaning/harmonization of program data. HEKA was successful because we emphasized a co-leadership framework (research direction evolved through shared/delegated leadership), and peer-to-peer mentorship. Major challenges included: obtaining sustained funding for engagement; ensuring the learning pace allows all individuals to be on the same page; confronting the socio-political climate; long commutes between counties for in-person meetings; and the limitation in using Excel files as primary tools for data capture. ConclusionsHEKA demonstrates the potential for community-based and led research in the HIV/STI field. The model we present can serve as a blueprint for other community-based organizations aiming to lead collaborative or independent research and build capacity.
Authors: Nancy Tahmo, Anthony Noah, Byron Odhiambo, Charles Kyalo, Elly Ondiek, Fortune Ligare, Gilbert Asuri, Jedidah Wanjiku, John Alex Njenga, John Maina, Kennedy Mwendwa, Kennedy Olango, Kennedy Ouma, Loice Nekesa, Pascal Macharia, Silvano Tabbu, Kristy CY Yiu, Robert Lorway, Parinita Bhattacharjee, Huiting Ma, Lisa Lazarus, Sharmistha Mishra, Jeffrey Walimbwa
Last Update: 2024-12-06 00:00:00
Language: English
Source URL: https://www.medrxiv.org/content/10.1101/2024.12.03.24318454
Source PDF: https://www.medrxiv.org/content/10.1101/2024.12.03.24318454.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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