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Incorporating patient-preference evidence into regulatory decision making.

Journal articles  - Journal Article
Ho, MP; Gonzalez, JM; Lerner, HP; Neuland, CY; Whang, JM; McMurry-Heath, M; Hauber, AB; Irony, T
Published in: Surg Endosc
October 2015

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.

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Published In

Surg Endosc

DOI

EISSN

1432-2218

Publication Date

October 2015

Volume

29

Issue

10

Start / End Page

2984 / 2993

Location

Germany

Related Subject Headings

  • United States Food and Drug Administration
  • United States
  • Surveys and Questionnaires
  • Surgery
  • Risk Assessment
  • Patient Preference
  • Obesity
  • Humans
  • Government Regulation
  • Decision Making
 

Citation

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ICMJE
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Ho, M. P., Gonzalez, J. M., Lerner, H. P., Neuland, C. Y., Whang, J. M., McMurry-Heath, M., … Irony, T. (2015). Incorporating patient-preference evidence into regulatory decision making. Surg Endosc, 29(10), 2984–2993. https://doi.org/10.1007/s00464-014-4044-2
Ho, Martin P., Juan Marcos Gonzalez, Herbert P. Lerner, Carolyn Y. Neuland, Joyce M. Whang, Michelle McMurry-Heath, A Brett Hauber, and Telba Irony. “Incorporating patient-preference evidence into regulatory decision making.Surg Endosc 29, no. 10 (October 2015): 2984–93. https://doi.org/10.1007/s00464-014-4044-2.
Ho MP, Gonzalez JM, Lerner HP, Neuland CY, Whang JM, McMurry-Heath M, et al. Incorporating patient-preference evidence into regulatory decision making. Surg Endosc. 2015 Oct;29(10):2984–93.
Ho, Martin P., et al. “Incorporating patient-preference evidence into regulatory decision making.Surg Endosc, vol. 29, no. 10, Oct. 2015, pp. 2984–93. Pubmed, doi:10.1007/s00464-014-4044-2.
Ho MP, Gonzalez JM, Lerner HP, Neuland CY, Whang JM, McMurry-Heath M, Hauber AB, Irony T. Incorporating patient-preference evidence into regulatory decision making. Surg Endosc. 2015 Oct;29(10):2984–2993.
Journal cover image

Published In

Surg Endosc

DOI

EISSN

1432-2218

Publication Date

October 2015

Volume

29

Issue

10

Start / End Page

2984 / 2993

Location

Germany

Related Subject Headings

  • United States Food and Drug Administration
  • United States
  • Surveys and Questionnaires
  • Surgery
  • Risk Assessment
  • Patient Preference
  • Obesity
  • Humans
  • Government Regulation
  • Decision Making