Unlocking Engagement: Enhancing Participation in Research With Vulnerable Populations
Bibliographic record
Abstract
It is well known that while vulnerable and disadvantaged populations are more likely to experience poor health, they are less likely to be involved in public health research because of their social or physical location, health status or the circumstances that make them more vulnerable (6)(7)(8). However, involving such vulnerable populations ensures that research results would not favour the point of view of more advantaged groups, would support the generation of study results that are more adequate, relevant and empowering for vulnerable populations and the community (7), would enhance the representation of vulnerable groups, increase the visibility of their needs, and enable advocacy efforts on their behalf, and would streamline the dissemination of research findings (7). Furthermore, the engagement of vulnerable populations has been beneficial for the populations themselves, fostering a sense of empowerment as they are encouraged to voice their experiences and push for enhancements in their living conditions (15). While guidance exists on how to engage specific vulnerable populations, such as persons with low socio-economic status, victims of sex abuse in research or asylum seekers (6,9,15), little is known about how to specifically engage persons who are vulnerable due to health conditions.The objective of this paper is to describe a tailored method for the engagement of vulnerable persons in participatory health research.Our engagement activities were part of a project investigating the impact of the COVID-19 pandemic on health service use in persons with dementia in Canada (16). Persons with dementia face multiple barriers to their engagement in research due to several reasons including their cognitive impairments, internalized stigma and misconceptions, lack of opportunity and awareness of research opportunities (4,10,11,17), physical limitations, increased dependence on their care partners (17), and attitudinal biases of researchers (12).By sharing our approach, we suggest that it is indeed possible to engage with such vulnerable populations using tailored strategies: 1) recruitment and status of PLWE in the research project, 2) involving PWLE during all phases of the research project, 3) designating a single research contact person for all communications with PWLE, 4) developing an appropriate onboarding strategy, 5) offering flexible engagement, and 6) adapting how meetings were conducted. The sequence in which these strategies are presented does not align with their respective priority and significance. Research teams are advised to assess both the significance and sequence of the following strategies based on their team's specific needs and characteristics.We recruited 16 PWLE (3 of whom had mild to moderate dementia, 13 of whom were care partners) from multiple sources, including previous partnerships, through advertisement via the Quebec Federation of Alzheimer Societies, and through the Engagement of People with Lived Experience of Dementia program of the Canadian Consortium on Neurodegeneration in Aging. These 16 persons were considered full research team members as co-researchers and as such a remuneration based on meetings participation was offered to all. Some refused this remuneration as it may have affected their pensions.As recommended in participatory research (10,11), PLWE were involved throughout the entire research process (see figure 1). Our group was comprised of 42 co-researchers, including 16 PWLE, 16 academic researchers from nine universities, 3 students, and 7 collaborators from various institutions such as supportive organizations and advocacy groups, public health agencies, provincial health governing bodies, and family physicians' groups. Having a large group of PWLE ensured some level of consistency despite variability in participation and offered a bulwark against potential power dynamics issues observed in previous research (12).All co-researchers, in particular PWLE, were invited to all steps of the project (design/research questions and framework, methods, results, and dissemination) (14). Multiple meetings were held at regular occasions. We structured our project into a large executive committee, whereby general directions and interpretation of results were decided. PWLE were members of this committee to ensure their ownership of the whole research process (14). Additionally, we organized distinct working groups, one per research objective, to discuss the data collection tools, analysis plans, and interpretation of results as they pertain to each specific objective. PWLE co-researchers were invited to each committee and working group. Large executive committee meetings, where every co-researcher was invited, were organized annually. Then, working groups were held, approximately bi-monthly, in which data collection, participants recruitment, and an analyses plan were discussed. These meetings involved any interested co-researcher (PWLE, researchers, students, and collaborators).Strategy 3: Designating a single contact person for all communications with PLWE Good communication with PWLE is key (10,11). In our project, we tailored our communication channels and designated a single contact person with previous experience in participatory research to direct suggestions, questions, or comments to and from PWLE. This contact person was trained with the existing best practices for participatory research (10,11) . This person coordinated with the PWLE to explain the consent form in detail and answer any PWLE question (18), arrange convenient dates, circulated documents that adhered to Alzheimer Society of Canada's patient-centered language recommendations (13), and avoided acronyms, technical jargon, and complex terminology. Following each meeting, the contact person gathered additional comments from the PWLE that sometimes arose after the meeting and relayed these to the rest of the team. Furthermore, this person provided PWLE with regular updates and summaries to maintain a high level of involvement, either by emails or ad-hoc meetings. This deliberate approach facilitated a better comprehension of the discussed topics and actively fostered the participation of PWLE during meetings.As it is essential for all researchers and PWLE to be on the same page on the project (10,11), we organized initial individual meetings between the contact person, PWLE, and two research coordinators to discuss our roles and our mutual expectations in terms of the extent and manners of involvement. We discussed explicit details regarding authorship and financial compensation to ensure transparency and fair acknowledgement of everyone's time and contributions.It is key to remain flexible with the level of involvement of the PWLE (10). To ensure flexibility and respect individual preferences, everyone was offered the opportunity to participate or not to the steering committee and to choose the working groups they wished to engage in. To adapt to the progressive nature of the disease and the variable availability and capacity of PWLE, everyone determined the amount of time they could allocate to the project. Strategy 6: Adapting how meetings were conducted It is important for PWLE to have a voice within the research team (11). The first half of each steering committee meeting was dedicated to the inputs and questions of PWLE. The discussion was then open to all attendees: PWLE, researchers, students, and collaborators. Additionally, we ensured to send the necessary documentation at least one week in advance of each meeting, allowing everyone ample time to prepare.Our tailored approach was well-received by all: PWLE, researchers, students, and collaborators. We were able to take into account PWLE's experiences to inform the research project in an ongoing and more inclusive manner. Furthermore, the contribution of the PWLE to the project resulted in many impactful outcomes. For instance, we revised the research questions and framed the project in a human rights framework; we added equity-based stratifications to our quantitative analysis plan; we built the interview guides with direct inputs from the PWLE (See Figure 1: Research steps and impacts of the involvement of persons with lived experience). PWLE and researchers, positively satisfied with the process, accepted to share their experience with the media and many are co-authors on this paper.Our experience revealed that the potential issues related to engagement PWLE in participatory research are mitigated through adequate planning, open dialogue, and the provision of necessary support. Furthermore, it was useful to recruit a large group of PWLE and dedicate meeting time to hear their voices to avoid power dynamics between PWLE and academic researchers. However, this type of approach is time consuming, necessitating the dedication of important resources, including a trained contact person, and efforts to develop and implement a meaningful engagement strategy and to reconcile various opinions.Nevertheless, using this engagement strategy enhanced the research process which became more inclusive, and ultimately more fruitful for all parties involved. Our approach to engaging vulnerable PWLE in health research not only fostered meaningful contributions from PWLE but also prompted valuable adjustments and enhancements to our research project.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.095 | 0.099 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.005 | 0.035 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".