ArticleThe patient2025
Measuring and Demonstrating the Value of Patient Engagement Across the Medicines Lifecycle: A Patient Engagement Impact Measurement Framework.
Article in The patient, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance.BMC medical informatics and decision making · 2026Article
- Advancing the Science of Patient Input in Drug Research and Development.Journal of participatory medicine · 2026Article
- Evaluation of the methodology of independent Community Advisory Boards in health products research and development: a mixed-methods cross-sectional survey study.Research involvement and engagement · 2026Article
- Authentic content as an effective mechanism for embedding patient voices in health innovation: a hypothesis and conceptual framework.Frontiers in health services · 2026Article
- Engagement Methods in Brain Tumor Genomic Research: Multimethod Comparative Study.Journal of participatory medicine · 2025Article
- Emerging trends in patient experience data: Perspectives on the 2024 AMCP Foundation Survey.Journal of managed care & specialty pharmacy · 2025Article
- Achieving clinically meaningful outcomes in digital health: a six-step, cyclical precision engagement framework (ENGAGE).Frontiers in digital health · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the pharmaceutical industry advances towards more patient-focused product development, it is well recognized that meaningful patient engagement is required for the authentic patient voice to inform research and regulatory decisions. However, for this to happen systematically and consistently across the industry, there is still a need to evaluate and communicate the value of patient engagement to all stakeholders. Evaluating engagement also informs process improvement, elevating the value further. We describe the development of a conceptual, yet practical, framework for measuring the impact of engagement to achieve this. The framework depicts how metrics can be used to capture and assess the inputs, outputs, and value of patient engagement across the medicines lifecycle. Although conceived in the context of systems and processes within one company, Novartis, the framework was co-created with patient advisors and designed to be both patient-relevant and adaptable for any pharmaceutical organization. The adoption and evolution of the framework will help to demonstrate the value-to patients, healthcare systems, and businesses-of integrating patient engagement into core activities across the medicines lifecycle. We encourage the pharmaceutical industry to apply impact measurement to build a robust evidence base, through measuring, publishing, and communicating the value of patient engagement.
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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.