Seeing What's Important: Eliciting Expert Judgements to Estimate the Minimally Clinically Important Difference for Six-Minute Walking Distance in PH-ILD

Speaker(s)

Behr J1, Howard L2, Lewis D3, Joseph A4, Smith AB5, Graziadio S6, Green M5, Funes DF7, Fernandez Delgado M8, Pujadas MB7
1University Hospital Munich, Munich, Munich, Germany, 2Imperial College Healthcare NHS Trust, London, UK, 3York Health Economics Consortium, York, NYK, UK, 4York Health Economics Consortium, York , YOR, UK, 5York Health Economics Consortium, York, UK, 6York Health Economics Consortium, York, YOR, UK, 7Grupo Ferrer Internacional, S.A, Barcelona, Catalonia, Spain, 8Grupo Ferrer Internacional, S.A, Barcelona, B, Spain

OBJECTIVES: A challenge of examining patient outcomes in clinical research is determining if the observed differences constitute a clinically meaningful change. There is currently no estimate for minimally clinically important difference (MCID) for the six-minute walking distance (6MWD) for populations with pulmonary hypertension associated with interstitial lung disease (PH-ILD). This study sought to employ a novel approach to MCID estimation, employing validated techniques to elicit clinical experts’ judgement.

METHODS: After implementing the feedback generated during a pilot exercise with two clinical experts, five experts from the UK and Germany participated in the workshop. A fixed interval method was used to encode judgements. The first elicitation task estimated the mean baseline 6MWD for PH-ILD for orientation to ensure task comprehension, followed by two MCID elicitation exercises. The MCID tasks were interspersed with a facilitated group discussion to examine between-expert variability. Responses were fit to a suitable parametric distribution via least squares estimation, and an aggregate distribution was generated via linear opinion pooling. The MCID was computed as the expected value of the final pooled distribution.

RESULTS: Responses to the first MCID elicitation task indicated estimates ranging between 17.5m and 47.1m (mean=31.9m). Four experts altered their responses during the second task, displaying estimates ranging between 24.8m and 40.6m (mean=31.0m). An ad hoc scenario analysis was conducted, excluding one expert, who reported contradictory comments during the group discussion and in their rationale statements, such as failure to adjust their plausible limits, suggesting insufficient task comprehension. The expected value for the pooled distribution in the scenario analysis was 28.6m (SD=6.9m).

CONCLUSIONS: The elicited values indicate an approximate MCID value lies between 28.6m and 31.0m, falling below estimates for PAH populations. The findings provide a foundation for interpreting clinical trials for PH-ILD-specific therapies.

Code

SA5

Topic

Clinical Outcomes, Economic Evaluation, Methodological & Statistical Research, Study Approaches

Topic Subcategory

Clinical Outcomes Assessment, PRO & Related Methods, Surveys & Expert Panels, Trial-Based Economic Evaluation

Disease

Cardiovascular Disorders (including MI, Stroke, Circulatory), No Additional Disease & Conditions/Specialized Treatment Areas, Respiratory-Related Disorders (Allergy, Asthma, Smoking, Other Respiratory)