A COST-EFFECTIVE ENHANCED RETROSPECTIVE OBSERVATIONAL STUDY METHODOLOGY TO CAPTURE ECONOMIC BURDEN EVIDENCE IN A RARE DISEASE USING NON-TUBERCULOUS MYCOBACTERIA INFECTION AS A MODEL

Author(s)

Gallagher JR1, Obradovic M2, Risebrough N3, Heap KJ1, Watch J4
1Clarity Pharma Research, LLC, SPARTANBURG, SC, USA, 2Insmed Incorporated, Bridgewater, NJ, USA, 3ICON plc, Toronto, ON, Canada, 4ICON plc, Dublin 18, Ireland

OBJECTIVE:  Gaining adequate market access and reimbursement can be particularly challenging for orphan drugs. Barriers include inadequate real world data on the disease’s epidemiology and its burden of illness. We deployed a unique combination of methodologies used in a multi-layered observational data capture approach to collect de-identified, publication-worthy clinical and resource utilization data in a probability sample of patients with a rare disease (pulmonary non-tuberculosis mycobacteria [PNTM]). We combine a new methodology (“blinded physician proportion survey”) with a new use of an old methodology (Delphi expert survey). METHODS: First-round studies in France, Germany, Italy, Spain, and the United Kingdom consisted of a “blinded physician specialty proportion” survey to determine the probability of physician selection by specialty (2,585 participating physicians), a nationally representative chart review with participating physicians to determine target patients by region (619 physicians – 1,429 patients) and a Delphi study (an anonymous collaborative estimating methodology completed by six internationally recognized PNTM experts) to gain consensus on annual prevalence of PNTM for each target country. A second-round of survey and use of the collaborative estimating process is currently being completed consisting of a chart review with physicians of a nationally representative sample (n=30 per country) in a treatment refractory sub-group of PNTM patients to capture country specific treatment patterns and disease-related costs. “Refractory” is defined as at least one post-diagnostic positive culture despite 6 months of treatment. RESULTS: We developed a rigorous methodology to identify a sub-group population to address the gap of actual disease prevalence by country. Publication reviewers have consistently and congruently confirmed the first-round epidemiologic study methodology met their respective required scientific standards. CONCLUSIONS: Observational chart surveys in rare diseases that obtain a probability sample, a requirement for sample validity, can be used to provide essential disease-related metrics to populate market access and reimbursement evaluation procedures.

Conference/Value in Health Info

2015-11, ISPOR Europe 2015, Milan, Italy

Value in Health, Vol. 18, No. 7 (November 2015)

Code

PRM260

Topic

Methodological & Statistical Research

Topic Subcategory

Confounding, Selection Bias Correction, Causal Inference

Disease

Respiratory-Related Disorders

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