TO TREAT OR WATCH? IDENTIFYING DRIVERS OF DECISIONS FOR PATIENTS WITH GEP-NET USING REFLECTIVE MULTI-CRITERIA DECISION ANALYSIS
Author(s)
Goetghebeur MM1, Samaha D2, Khoury H2, O'Neil B2, Lavoie L2, Bennetts L2, Wagner M2, Badgley D2, Gabriel S3, Berthon A4, Dolan J5, Kulke M6
1LASER Analytica and School of Public Health, University of Montreal, Montreal, QC, Canada, 2LASER Analytica, Montreal, QC, Canada, 3IPSEN Pharma, Boulogne-Billancourt, France, 4IPSEN, Boulogne-Billancourt, France, 5University of Rochester, Rochester, NY, USA, 6Dana-Farber Cancer Institute, Boston, MA, USA
OBJECTIVES: GEP-NET are slow-growing tumors with heterogeneous presentation. Somatostatin analogs (SSAs) or watchful-waiting are recommended for management of unresectable, well- or moderately-differentiated non-functioning GEP-NET. This study aimed to develop a comprehensive shared-decisionmaking MCDA-framework, and explore drivers of decision. METHODS: A decision support tool was designed using a holistic MCDA-framework (EVIDEM), literature review and insights from a Chatham-house panel of US physicians and patients with GEP-NET. A second extended panel (5 patients, 6 physicians) explored drivers of decision using two scenarios (SSA [reference case lanreotide] versus observation; lanreotide versus octreotide). Evidence was synthesized from a comprehensive literature review. Participants assigned weights through two techniques. For each criterion, participants were prompted to share experiential insights and knowledge, and assign a score (+5 [Much in favor of option 1] to -5 [Much in favor of option 2]). Value contributions (NormWeightXScore) were calculated for each criterion. Sensitivity analyses were performed. RESULTS: At group level, when exploring treatment over watchful-waiting, Type of therapeutic benefit, Disease severity, Effectiveness (mainly due to Progression-free survival and Disease symptom) and Quality of evidence favored treatment (mean value contribution: 0.08 ± SD 0.06, 0.07 ± 0.09, 0.07 ± 0.09 and 0.06 ± 0.06 respectively) whereas Costs aspects (interventions, medical and non-medical) favored watchful-waiting. When comparing two treatment options, the majority of criteria did not favor one option over another. System capacity (0.02 ± 0.02) and Non-medical costs and constraints (0.02 ± 0.03) tip the scale in favor of lanreotide and Cost of intervention in favor of octreotide (0.08 ± 0.12). Sub-criteria Impact on autonomy and Impact on dignity favored lanreotide. Wide SDs reflect variability of drivers of decision across participants. CONCLUSIONS: Exploration of scenarios identified drivers of decision for GEP-NET management and revealed the diversity of participants perspectives. Holistic MCDA embedded with evidence supports individual reflection and informed shared-decisionmaking.
Conference/Value in Health Info
2016-10, ISPOR Europe 2016, Vienna, Austria
Value in Health, Vol. 19, No. 7 (November 2016)
Code
PRM156
Topic
Methodological & Statistical Research
Topic Subcategory
PRO & Related Methods
Disease
Oncology