1. Valuing Health Gain from Composite Response Endpoints for Multisystem Diseases
- Author
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Sean P. Gavan, Ian N. Bruce, Katherine Payne, Ian Bruce, Mark Lunt, Niels Peek, Nophar Geifman, Sean Gavan, Gillian Armitt, Patrick Doherty, Jennifer Prattley, Narges Azadbakht, Angela Papazian, Helen Le Sueur, Carmen Farrelly, Clare Richardson, Zunnaira Shabbir, Lauren Hewitt, Neil McHugh, Caroline Gordon, John Reynolds, Stephen Young, David Jayne, Vern Farewell, Li Su, Matthew Pickering, Elizabeth Lightstone, Alyssa Gilmore, Marina Botto, Timothy Vyse, David Lester Morris, David D’Cruz, Edward Vital, Miriam Wittmann, Paul Emery, Michael Beresford, Christian Hedrich, Angela Midgley, Jenna Gritzfeld, Michael Ehrenstein, David Isenberg, Mariea Parvaz, Jane Dunnage, Jane Batchelor, Elaine Holland, Pauline Upsall, Hazem Youssef, Liza McCann, Rapti Mediwake, Anurag Bharadwaj, Ed Vital, Deepti Kapur, Prof Chee-Seng Yee, Bridget Griffiths, Abid Yusuf, Asad Zoma, Erin Vermaak, Francesco Carlucci, Richard Watts, Patrick Gordon, Shireen Shaffu, Jananath Wijeyekoon, Zoe McLaren, Yasmeen Ahmad, Mike Batley, Luke Gompels, T. Sheeran, Cee Yi Yong, Rachel Jeffery, Shahir Hamdulay, Fouz Rahmeh, Steven Young Min, Ben Rhodes, Denise De Lord, Peter Lanyon, Antoni Chan, Lee-Suan Teh, Jonathan Marks, David Hutchinson, Marian Regan, Richard Haigh, Richard Stratton, Ceril Rhys-Dillon, Mohamed Akil, Devesh Mewar, Sarah Skeoch, Nicola Erb, Edmond O’Riordan, Sarah Bartram, Mary Gayed, Bhaskar Dasgupta, Harsha Gunwardena, Dev Pyne, Arvind Kaul, Madhu Mahindrakar, Bhrigu Raj Sood, Nicola Gullick, Christopher Edwards, null Joanna C Robson, Jon King, Adrian Farrell, Sahena Haque, and Sally Knights
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multisystem disease ,Health Policy ,Public Health, Environmental and Occupational Health ,monetary benefit ,composite response endpoint ,systemic lupus erythematous ,health state utility - Abstract
Objectives: This study aimed to demonstrate how to estimate the value of health gain after patients with a multisystem disease achieve a condition-specific composite response endpoint. Methods: Data from patients treated in routine practice with an exemplar multisystem disease (systemic lupus erythematosus) were extracted from a national register (British Isles Lupus Assessment Group Biologics Register). Two bespoke composite response endpoints (Major Clinical Response and Improvement) were developed in advance of this study. Difference-in-differences regression compared health utility values (3-level version of EQ-5D; UK tariff) over 6 months for responders and nonresponders. Bootstrapped regression estimated the incremental quality-adjusted life-years (QALYs), probability of QALY gain after achieving the response criteria, and population monetary benefit of response. Results: Within the sample (n = 171), 18.2% achieved Major Clinical Response and 49.1% achieved Improvement at 6 months. Incremental health utility values were 0.0923 for Major Clinical Response and 0.0454 for Improvement. Expected incremental QALY gain at 6 months was 0.020 for Major Clinical Response and 0.012 for Improvement. Probability of QALY gain after achieving the response criteria was 77.6% for Major Clinical Response and 72.7% for Improvement. Population monetary benefit of response was £1 106 458 for Major Clinical Response and £649 134 for Improvement. Conclusions: Bespoke composite response endpoints are becoming more common to measure treatment response for multisystem diseases in trials and observational studies. Health technology assessment agencies face a growing challenge to establish whether these endpoints correspond with improved health gain. Health utility values can generate this evidence to enhance the usefulness of composite response endpoints for health technology assessment, decision making, and economic evaluation.
- Published
- 2022
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