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Updated: May 11, 2026

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
Published on: April 14, 2016
What works for whom? Determining the efficacy and harm of treatments for pain
1Pain Research and Nuffield Division of Anaesthetics, Nuffield Department of Clinical Neurology, University of Oxford, The Churchill, Oxford OX3 7LE, UK.
Abstract:
There has been a tension between the needs of regulators and industry to demonstrate that interventions are effective and safe, and the needs of professionals to understand how well interventions will work for their patients, and patients to understand what might work for them as individuals. The custom has been to focus on statistical outcomes based on average results, but in-depth analysis based on outcomes obtained by individual patients demonstrates that few are average. Rather, a minority of patients achieve very large reductions in pain (responders), while the majority achieve little (nonresponders). Those who benefit in terms of pain also benefit in other areas, with improved sleep, fatigue, mood, function, quality of life, and ability to work. This changes how benefit and risk are seen; nonresponders should stop treatments that don't work and not, therefore, be exposed to risks, while responders have very large benefits to offset against rare but potentially serious harm. This alternative view, patient-centred and practice-orientated, has major implications for clinical practice, how and why we do clinical trials and how they are designed, how health economic evaluations are done, for decisions made by regulatory and other bodies, and for the theory and practice of evidence-based medicine.
Insights
Most patients do not achieve average results from treatments. Individual patient analysis reveals distinct responder and non-responder groups, impacting treatment decisions and evidence-based medicine.
Area of Science:
- Clinical Medicine
- Evidence-Based Medicine
- Health Outcomes Research
Background:
- Traditional clinical trial outcomes focus on statistical averages, potentially misrepresenting individual patient experiences.
- A gap exists between regulatory/industry needs for efficacy data and patient/clinician needs for personalized treatment understanding.
- Current methods often overlook the heterogeneity of patient responses to interventions.
Purpose of the Study:
- To analyze patient outcomes beyond statistical averages, focusing on individual responses to interventions.
- To re-evaluate benefit-risk assessments by differentiating between patient subgroups (responders vs. non-responders).
- To explore the implications of a patient-centered approach for clinical practice, trial design, and health economics.
Main Methods:
- In-depth analysis of individual patient outcomes, contrasting with standard statistical outcome reporting.
- Categorization of patients into 'responders' (significant benefit) and 'non-responders' (minimal benefit) based on pain reduction.
- Assessment of associated benefits (sleep, mood, function) and risks for each patient group.
Main Results:
- Few patients represent the statistical average; most fall into either high-benefit responder or low-benefit non-responder categories.
- Responders experience substantial improvements in pain, sleep, fatigue, mood, function, quality of life, and work ability.
- Non-responders show minimal pain relief and do not gain associated benefits, while still being exposed to treatment risks.
Conclusions:
- A patient-centered, outcome-based approach shifts the view of treatment benefit and risk.
- Non-responders should discontinue ineffective treatments to avoid unnecessary risk exposure.
- This paradigm has significant implications for clinical practice, clinical trial design, regulatory decisions, and evidence-based medicine.
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