Establishment of a patient and public involvement and engagement group to support clinical trials in Pakistan: Initial lessons learned
Bibliographic record
Abstract
Patient and public involvement and engagement (PPIE) in clinical trials is increasingly recognized as vital for ensuring research relevance and accessibility. Despite its proven benefits, PPIE remains limited, particularly in low- and middle-income countries, and more examples of effective strategies for involvement are needed. This commentary outlines the establishment of a PPIE group for clinical trials in a lower-middle-income country setting with limited research infrastructure. We established Pakistan’s first ever PPIE group for clinical trials within a new clinical trials unit at Ziauddin University in Karachi. The objectives of our project were focused on group formation, redesign of informed consent documents for trials, and dissemination of trial results to the public. Recruitment strategies involved referrals from clinicians and existing collaborators as well as engagement at public events, distribution of advertising leaflets and social media posts. Ten potential members were selected based on motivation, commitment and ability to contribute critically, with six members continuing their involvement long-term. An existing tool designed to establish the access needs of public partners was adapted to our project to help us document and account for members’ expectations and support requirements. The process of using the tool enabled deep engagement, clarified roles, and fostered trust between coordinators and group members. Patient and public members gained confidence about the legitimacy of the project and felt more comfortable participating in the first group meeting. Lessons learned emphasize the importance of wide-ranging engagement efforts and transparent discussions about expectations to build effective collaborative relationships. Our experience demonstrates the feasibility of establishing a PPIE group for clinical trials in Pakistan and highlights strong public interest for research involvement. The use of a formal tool to document needs, prior experiences and expectations encouraged relationship-building and helped coordinators make relevant accommodations for members. This account contributes to the growing body of literature on effective PPIE practices, emphasizing the value of tailored support and transparent communication in facilitating meaningful public involvement in clinical trials. Working together with patients and members of the public has the potential of making clinical trials better, more person-centered and relevant. Unfortunately, partnerships between trial researchers and the public are still uncommon. It is not known what the best ways are to involve the public in clinical trials, especially when it comes to non-Western populations. We set up the first-ever patient and public involvement and engagement group to support clinical trials in Pakistan. In this commentary, we share our initial experiences of successfully establishing the group and the two main lessons we learned. Ten group members were identified by widely advertising our project to doctors, community organizations, patients and their carers at our hospital. Before the first group meeting, two coordinators met with each potential member to discuss and document their interests, expectations and needs. Both researchers and group members felt that these discussions were a good use of their time and helped make the project a success. The first main lesson learned from our experience was that enough time, funding, staff and resources are needed to identify members and build meaningful collaborative partnerships. The second main lesson learned was that honest discussions are needed at the very beginning of a collaboration about expectations. Our experience shows that involving patients and members of the public in clinical trials in Pakistan is possible and we hope it inspires and helps other researchers in their patient and public engagement efforts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.106 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.010 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".