Use of Patient Preference Studies in HTA Decision Making: A NICE Perspective
Patient preference studies could provide valuable insights to a National Institute for Health and Care Excellence committee into the preferences patients have for different treatment options, especially if the study sample is representative of the broader patient population. We identify three main u...
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| Vydané v: | The patient : patient-centered outcomes research Ročník 13; číslo 2; s. 145 - 149 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Cham
Springer International Publishing
01.04.2020
Springer Nature B.V |
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| ISSN: | 1178-1653, 1178-1661, 1178-1661 |
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| Abstract | Patient preference studies could provide valuable insights to a National Institute for Health and Care Excellence committee into the preferences patients have for different treatment options, especially if the study sample is representative of the broader patient population. We identify three main uses of patient preference studies along a technology’s pathway from drug development to clinical use: in early clinical development to guide the selection of appropriate endpoints, to inform benefit-risk assessments carried out by regulators and to inform reimbursement decisions made by health technology assessment bodies. In the context of the National Institute for Health and Care Excellence’s methods and processes, we do not see a role for quantitative patient preference data to be directly incorporated into health economic modelling. Rather, we see a role for patient preference studies to be submitted alongside other types of evidence. Examples where patient preference studies might have added value in health technology assessments include cases where two distinctly different treatment options are being compared, when patients have to decide between multiple treatment options, when technologies have important non-health benefits or when a treatment is indicated for a heterogenous population. |
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| AbstractList | Patient preference studies could provide valuable insights to a National Institute for Health and Care Excellence committee into the preferences patients have for different treatment options, especially if the study sample is representative of the broader patient population. We identify three main uses of patient preference studies along a technology's pathway from drug development to clinical use: in early clinical development to guide the selection of appropriate endpoints, to inform benefit-risk assessments carried out by regulators and to inform reimbursement decisions made by health technology assessment bodies. In the context of the National Institute for Health and Care Excellence's methods and processes, we do not see a role for quantitative patient preference data to be directly incorporated into health economic modelling. Rather, we see a role for patient preference studies to be submitted alongside other types of evidence. Examples where patient preference studies might have added value in health technology assessments include cases where two distinctly different treatment options are being compared, when patients have to decide between multiple treatment options, when technologies have important non-health benefits or when a treatment is indicated for a heterogenous population.Patient preference studies could provide valuable insights to a National Institute for Health and Care Excellence committee into the preferences patients have for different treatment options, especially if the study sample is representative of the broader patient population. We identify three main uses of patient preference studies along a technology's pathway from drug development to clinical use: in early clinical development to guide the selection of appropriate endpoints, to inform benefit-risk assessments carried out by regulators and to inform reimbursement decisions made by health technology assessment bodies. In the context of the National Institute for Health and Care Excellence's methods and processes, we do not see a role for quantitative patient preference data to be directly incorporated into health economic modelling. Rather, we see a role for patient preference studies to be submitted alongside other types of evidence. Examples where patient preference studies might have added value in health technology assessments include cases where two distinctly different treatment options are being compared, when patients have to decide between multiple treatment options, when technologies have important non-health benefits or when a treatment is indicated for a heterogenous population. Patient preference studies could provide valuable insights to a National Institute for Health and Care Excellence committee into the preferences patients have for different treatment options, especially if the study sample is representative of the broader patient population. We identify three main uses of patient preference studies along a technology's pathway from drug development to clinical use: in early clinical development to guide the selection of appropriate endpoints, to inform benefit-risk assessments carried out by regulators and to inform reimbursement decisions made by health technology assessment bodies. In the context of the National Institute for Health and Care Excellence's methods and processes, we do not see a role for quantitative patient preference data to be directly incorporated into health economic modelling. Rather, we see a role for patient preference studies to be submitted alongside other types of evidence. Examples where patient preference studies might have added value in health technology assessments include cases where two distinctly different treatment options are being compared, when patients have to decide between multiple treatment options, when technologies have important non-health benefits or when a treatment is indicated for a heterogenous population. Patient preference studies could provide valuable insights to a National Institute for Health and Care Excellence committee into the preferences patients have for different treatment options, especially if the study sample is representative of the broader patient population. We identify three main uses of patient preference studies along a technology's pathway from drug development to clinical use: in early clinical development to guide the selection of appropriate endpoints, to inform benefitrisk assessments carried out by regulators and to inform reimbursement decisions made by health technology assessment bodies. In the context of the National Institute for Health and Care Excellence's methods and processes, we do not see a role for quantitative patient preference data to be directly incorporated into health economic modelling. Rather, we see a role for patient preference studies to be submitted alongside other types of evidence. Examples where patient preference studies might have added value in health technology assessments include cases where two distinctly different treatment options are being compared, when patients have to decide between multiple treatment options, when technologies have important nonhealth benefits or when a treatment is indicated for a heterogenous population. |
| Author | Cowie, Luke Crabb, Nick Morrison, Deborah Livingstone, Heidi Lovett, Rosemary Bouvy, Jacoline C. |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31942698$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.jval.2016.02.019 10.3389/fmed.2019.00082 10.1007/s40271-018-0305-9 10.1007/s00464-014-4044-2 10.1007/s40271-019-00367-w 10.1007/s40271-019-00396-5 10.1016/j.drudis.2017.09.016 10.1016/j.jval.2016.04.008 10.1002/cpt.332 |
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| References | National Institute for Health and Care Excellence. Guide to the methods of technology appraisal 2013. Available from: https://www.nice.org.uk/process/pmg9/chapter/foreword. Accessed 30 Oct 2019. National Institute for Health and Care Excellence. NICE provides first scientific advice on patient preference study design. 2019. Available from: https://www.nice.org.uk/news/article/nice-provides-first-scientific-advice-on-patient-preference-study-design. Accessed 30 Oct 2019. HoMPGonzalezJMLernerHPNeulandCYWhangJMMcMurry-HeathMIncorporating patient-preference evidence into regulatory decision makingSurg Endosc.201529102984299310.1007/s00464-014-4044-2 JanssensRRussoSvan OverbeekeEPatient preferences in the medical product life cycle: what do stakeholders think? Semi-structured qualitative interviews in Europe and the USAPatient.20191251352610.1007/s40271-019-00367-w PostmusDMavrisMHillegeHLSalmonsonTRyllBPlateAIncorporating patient preferences into drug development and regulatory decision making: results from a quantitative pilot study with cancer patients, carers, and regulatorsClin Pharmacol Ther.20169955485541:STN:280:DC%2BC28rlslKjsw%3D%3D10.1002/cpt.332 National Institute for Health and Care Excellence. Our research work. 2019. Available from: www.nice.org.uk/research. Accessed 30 Nov 2019. Reed JohnsonFZhouMPatient preferences in regulatory benefit-risk assessments: a US perspectiveValue Health.201619674174510.1016/j.jval.2016.04.008 Institute for Quality and Efficiency in Health Care. Choice-based conjoint analysis: pilot project to identify, weight, and prioritize multiple attributes in the indication “hepatitis C”. Working paper (English summary). 2014. Available from: https://www.iqwig.de/en/projects-results/projects/health-economic/ga10-03-pilot-study-conjoint-analysis-in-the-indication-hepatitis-c.1411.html. Accessed 13 Sept 2019. IMI PREFER. About PREFER. 2019. Available from: https://www.imi-prefer.eu/about/. Accessed 30 Oct 2019. Cowie L, Bouvy J. Measuring patient preferences: an exploratory study to determine how patient preferences data could be used in health technology assessment (HTA). Myeloma UK, 2019. Available from: https://www.myeloma.org.uk/wp-content/uploads/2019/07/NICE-Patient-Preferences-Report.pdf. Accessed 30 Oct 2019. MottDMIncorporating quantitative patient preference data into healthcare decision making processes: is HTA falling behind?Patient.20181124925210.1007/s40271-018-0305-9 CookNSCaveJHoltorfA-PPatient preference studies during early drug development: aligning stakeholders to ensure development plans meet patient needsFront Med (Lausanne).201968210.3389/fmed.2019.00082310692276491461 HoMSahaAMcClearyKKLevitanBChristopherSZandloKA framework for incorporating patient preferences regarding benefits and risks into regulatory assessment of medical technologiesValue Health.201619674675010.1016/j.jval.2016.02.019 BenzHLLeeTHJHua TsaiJAdvancing the use of patient preference information as scientific evidence in medical product evaluation: a summary report of the patient preference workshopPatient.20191255355710.1007/s40271-019-00396-5 ChaudhuriSEHoMPIronyTSheldonMLoAWPatient-centered clinical trialsDrug Discov Today.201823239540110.1016/j.drudis.2017.09.016 408_CR12 NS Cook (408_CR3) 2019; 6 408_CR15 408_CR13 408_CR14 M Ho (408_CR10) 2016; 19 D Postmus (408_CR11) 2016; 99 SE Chaudhuri (408_CR4) 2018; 23 408_CR2 HL Benz (408_CR8) 2019; 12 408_CR1 R Janssens (408_CR6) 2019; 12 DM Mott (408_CR7) 2018; 11 MP Ho (408_CR5) 2015; 29 F Reed Johnson (408_CR9) 2016; 19 |
| References_xml | – reference: National Institute for Health and Care Excellence. Our research work. 2019. Available from: www.nice.org.uk/research. Accessed 30 Nov 2019. – reference: National Institute for Health and Care Excellence. NICE provides first scientific advice on patient preference study design. 2019. Available from: https://www.nice.org.uk/news/article/nice-provides-first-scientific-advice-on-patient-preference-study-design. Accessed 30 Oct 2019. – reference: BenzHLLeeTHJHua TsaiJAdvancing the use of patient preference information as scientific evidence in medical product evaluation: a summary report of the patient preference workshopPatient.20191255355710.1007/s40271-019-00396-5 – reference: HoMPGonzalezJMLernerHPNeulandCYWhangJMMcMurry-HeathMIncorporating patient-preference evidence into regulatory decision makingSurg Endosc.201529102984299310.1007/s00464-014-4044-2 – reference: IMI PREFER. About PREFER. 2019. Available from: https://www.imi-prefer.eu/about/. Accessed 30 Oct 2019. – reference: National Institute for Health and Care Excellence. Guide to the methods of technology appraisal 2013. Available from: https://www.nice.org.uk/process/pmg9/chapter/foreword. Accessed 30 Oct 2019. – reference: ChaudhuriSEHoMPIronyTSheldonMLoAWPatient-centered clinical trialsDrug Discov Today.201823239540110.1016/j.drudis.2017.09.016 – reference: CookNSCaveJHoltorfA-PPatient preference studies during early drug development: aligning stakeholders to ensure development plans meet patient needsFront Med (Lausanne).201968210.3389/fmed.2019.00082310692276491461 – reference: Cowie L, Bouvy J. Measuring patient preferences: an exploratory study to determine how patient preferences data could be used in health technology assessment (HTA). Myeloma UK, 2019. Available from: https://www.myeloma.org.uk/wp-content/uploads/2019/07/NICE-Patient-Preferences-Report.pdf. Accessed 30 Oct 2019. – reference: JanssensRRussoSvan OverbeekeEPatient preferences in the medical product life cycle: what do stakeholders think? Semi-structured qualitative interviews in Europe and the USAPatient.20191251352610.1007/s40271-019-00367-w – reference: MottDMIncorporating quantitative patient preference data into healthcare decision making processes: is HTA falling behind?Patient.20181124925210.1007/s40271-018-0305-9 – reference: PostmusDMavrisMHillegeHLSalmonsonTRyllBPlateAIncorporating patient preferences into drug development and regulatory decision making: results from a quantitative pilot study with cancer patients, carers, and regulatorsClin Pharmacol Ther.20169955485541:STN:280:DC%2BC28rlslKjsw%3D%3D10.1002/cpt.332 – reference: Reed JohnsonFZhouMPatient preferences in regulatory benefit-risk assessments: a US perspectiveValue Health.201619674174510.1016/j.jval.2016.04.008 – reference: HoMSahaAMcClearyKKLevitanBChristopherSZandloKA framework for incorporating patient preferences regarding benefits and risks into regulatory assessment of medical technologiesValue Health.201619674675010.1016/j.jval.2016.02.019 – reference: Institute for Quality and Efficiency in Health Care. Choice-based conjoint analysis: pilot project to identify, weight, and prioritize multiple attributes in the indication “hepatitis C”. Working paper (English summary). 2014. Available from: https://www.iqwig.de/en/projects-results/projects/health-economic/ga10-03-pilot-study-conjoint-analysis-in-the-indication-hepatitis-c.1411.html. Accessed 13 Sept 2019. – volume: 19 start-page: 746 issue: 6 year: 2016 ident: 408_CR10 publication-title: Value Health. doi: 10.1016/j.jval.2016.02.019 – volume: 6 start-page: 82 year: 2019 ident: 408_CR3 publication-title: Front Med (Lausanne). doi: 10.3389/fmed.2019.00082 – volume: 11 start-page: 249 year: 2018 ident: 408_CR7 publication-title: Patient. doi: 10.1007/s40271-018-0305-9 – volume: 29 start-page: 2984 issue: 10 year: 2015 ident: 408_CR5 publication-title: Surg Endosc. doi: 10.1007/s00464-014-4044-2 – volume: 12 start-page: 513 year: 2019 ident: 408_CR6 publication-title: Patient. doi: 10.1007/s40271-019-00367-w – volume: 12 start-page: 553 year: 2019 ident: 408_CR8 publication-title: Patient. doi: 10.1007/s40271-019-00396-5 – ident: 408_CR1 – ident: 408_CR15 – ident: 408_CR2 – volume: 23 start-page: 395 issue: 2 year: 2018 ident: 408_CR4 publication-title: Drug Discov Today. doi: 10.1016/j.drudis.2017.09.016 – volume: 19 start-page: 741 issue: 6 year: 2016 ident: 408_CR9 publication-title: Value Health. doi: 10.1016/j.jval.2016.04.008 – volume: 99 start-page: 548 issue: 5 year: 2016 ident: 408_CR11 publication-title: Clin Pharmacol Ther. doi: 10.1002/cpt.332 – ident: 408_CR13 – ident: 408_CR14 – ident: 408_CR12 |
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| SubjectTerms | Clinical decision making Committees Cost-Benefit Analysis Current Opinion Decision making Drug Development Experiments Health Administration Health Economics Health services Humans Insurance, Health, Reimbursement Medicine Medicine & Public Health Patient Preference Patients Pharmacoeconomics and Health Outcomes Preferences Public Health Quality of Life Research Regulatory agencies Regulatory approval Reimbursement Risk Assessment State Medicine - organization & administration Technology Assessment, Biomedical - organization & administration Testimony United Kingdom |
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| Title | Use of Patient Preference Studies in HTA Decision Making: A NICE Perspective |
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