Incorporating patient-preference evidence into regulatory decision making

被引:173
|
作者
Ho, Martin P. [1 ]
Gonzalez, Juan Marcos [2 ]
Lerner, Herbert P. [1 ]
Neuland, Carolyn Y. [1 ]
Whang, Joyce M. [1 ]
McMurry-Heath, Michelle [1 ]
Hauber, A. Brett [2 ]
Irony, Telba [1 ]
机构
[1] US FDA, Ctr Devices & Radiol Hlth, Silver Spring, MD 20993 USA
[2] RTI Hlth Solut, Durham, NC USA
关键词
Patient preferences; Weight-loss devices; Obesity treatment; FDA; Benefit-risk assessment; Regulatory-approval decisions; EXPERIMENTAL-DESIGN; TASK-FORCE;
D O I
10.1007/s00464-014-4044-2
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background Patients have a unique role in deciding what treatments should be available for them and regulatory agencies should take their preferences into account when making treatment approval decisions. This is the first study designed to obtain quantitative patient-preference evidence to inform regulatory approval decisions by the Food and Drug Administration Center for Devices and Radiological Health. Methods Five-hundred and forty United States adults with body mass index (BMI) >= 30 kg/m(2) evaluated tradeoffs among effectiveness, safety, and other attributes of weight-loss devices in a scientific survey. Discrete-choice experiments were used to quantify the importance of safety, effectiveness, and other attributes of weight-loss devices to obese respondents. A tool based on these measures is being used to inform benefit-risk assessments for premarket approval of medical devices. Results Respondent choices yielded preference scores indicating their relative value for attributes of weight-loss devices in this study. We developed a tool to estimate the minimum weight loss acceptable by a patient to receive a device with a given risk profile and the maximum mortality risk tolerable in exchange for a given weight loss. For example, to accept a device with 0.01 % mortality risk, a risk tolerant patient will require about 10 % total body weight loss lasting 5 years. Conclusions Patient preference evidence was used make regulatory decision making more patient-centered. In addition, we captured the heterogeneity of patient preferences allowing market approval of effective devices for risk tolerant patients. CDRH is using the study tool to define minimum clinical effectiveness to evaluate new weight-loss devices. The methods presented can be applied to a wide variety of medical products. This study supports the ongoing development of a guidance document on incorporating patient preferences into medical-device premarket approval decisions.
引用
收藏
页码:2984 / 2993
页数:10
相关论文
共 50 条
  • [31] Use of Patient Preference Studies in HTA Decision Making: A NICE Perspective
    Bouvy, Jacoline C.
    Cowie, Luke
    Lovett, Rosemary
    Morrison, Deborah
    Livingstone, Heidi
    Crabb, Nick
    PATIENT-PATIENT CENTERED OUTCOMES RESEARCH, 2020, 13 (02): : 145 - 149
  • [32] Improving shared decision making by incorporating patient preferred treatment outcomes
    DePaulo, J. Raymond
    Smith, Andrew
    Allen, Kimberly
    BIPOLAR DISORDERS, 2023, 25 : 28 - 28
  • [33] Patient-Centered Care and Preference-Sensitive Decision Making
    Keirns, Carla C.
    Goold, Susan Dorr
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2009, 302 (16): : 1805 - 1806
  • [34] Will a Patient Preference Predictor Improve Treatment Decision Making for Incapacitated Patients?
    Rid, Annette
    JOURNAL OF MEDICINE AND PHILOSOPHY, 2014, 39 (02): : 99 - 103
  • [35] Improving shared decision making by incorporating patient preferred treatment outcomes
    Smith, Andrew
    Allen, Kimberly
    DePaulo, J. Raymond
    BIPOLAR DISORDERS, 2023, 25 : 29 - 29
  • [36] Dynamics of decision-making: from evidence accumulation to preference and belief
    Usher, Marius
    Tsetsos, Konstantinos
    Yu, Erica C.
    Lagnado, David A.
    FRONTIERS IN PSYCHOLOGY, 2013, 4
  • [37] Real-World Evidence in Regulatory Decision Making: Time for Evidence Integration
    Miksad, Rebecca A.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2024, 116 (05) : 1153 - 1155
  • [38] Tadalafil and Vardenafil vs Sildenafil: A Review of Patient-Preference Studies Editorial Comment
    Penson, David F.
    JOURNAL OF UROLOGY, 2009, 182 (06): : 2862 - 2863
  • [39] Incorporating TK data and tools to support regulatory decision making - from the perspectives of RIVM
    Zeilmaker, M.
    Fragki, S.
    Bos, P.
    Piersma, A.
    Heringa, M.
    TOXICOLOGY LETTERS, 2018, 295 : S6 - S6
  • [40] Decision-making for civil infrastructures incorporating the time-varying effect of risk preference
    Pan, Chen
    Li, Quanwang
    URBAN TRANSITIONS CONFERENCE, 2017, 198 : 907 - 914