ReviewFrontiers in medicine2023
Integrating qualitative interviews in drug development and the use of qualitative evidence in product labelling and health technology assessments: a review.
Review in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Patient-Reported Meaningful Change in Symptoms and Impacts of Paroxysmal Nocturnal Hemoglobinuria (PNH) in Three Phase III Clinical Trials of Iptacopan.The patient · 2025Trial
- Beyond Numbers: Uses and Value of In-Trial Interview Data for Regulatory and Health Technology Assessment (HTA) Decision Making.The patient · 2026Review
- Article
- Patient Experience of Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease: Qualitative Patient and Clinician Interviews Informing the Development of a Conceptual Model.Neurology and therapy · 2025Article
- Qualitative In-trial Interviews: Methods, Challenges, and Best Practice.The patient · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Including qualitative research in clinical trial design is an innovative approach to understanding patients' perspective and incorporate the patient's voice in all stages of drug development and evaluation. This review aims to explore current practices, lessons learned from the literature, as well as how qualitative interviews are considered by health authorities for marketing authorization and reimbursement. Methods: A targeted literature review of Medline and Embase databases was conducted in February 2022 to identify publications on qualitative methods embedded in clinical trial of pharmaceutical products. An additional search of guidelines and labeling claims of approved products regarding qualitative research was performed in various sources of grey literature. Results: From the 24 publications and nine documents reviewed, we identified the research questions addressed with qualitative methods during clinical trials (e.g., change in quality of life, symptoms assessment, treatment benefit), preferred data collection methods (e.g., interviews), and data collection points (e.g., baseline and exit interviews). Moreover, the data from labels and HTAs demonstrate that qualitative data can play an important role in approval processes. Conclusion: The use of in-trial interviews is still emerging and is not yet common practice. Although the industry, scientific community, regulatory agencies and HTAs are showing an increasing interest in the use of evidence generated via in-trial interviews, guidance from regulators and HTAs would be helpful. Developing new methods and technologies to address the common challenges for such interviews is key to progress.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.