MEASURING THE VALIDITY AND RELIABILITY OF VALUE ASSESSMENT FRAMEWORKS FOR CANCER DRUGS: AN EVALUATION METHOD

OBJECTIVES: We aimed to develop a methodology for evaluating convergent validity and inter-rater reliability of value assessment frameworks. METHODS: Framework convergent validity, defined as the correlation among drug rankings across frameworks, can be assessed using Kendall's W coefficient. F...

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Veröffentlicht in:Value in health 2017-05, Vol.20 (5), p.A341
Hauptverfasser: Bentley, TG, Cohen, JT, Elkin, EB, Huynh, J, Mukherjea, A, Neville, TH, Mei, MG, Copher, R, Knoth, RL, Popescu, I, Lee, J, Zambrano, JM, Broder, MS
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container_end_page
container_issue 5
container_start_page A341
container_title Value in health
container_volume 20
creator Bentley, TG
Cohen, JT
Elkin, EB
Huynh, J
Mukherjea, A
Neville, TH
Mei, MG
Copher, R
Knoth, RL
Popescu, I
Lee, J
Zambrano, JM
Broder, MS
description OBJECTIVES: We aimed to develop a methodology for evaluating convergent validity and inter-rater reliability of value assessment frameworks. METHODS: Framework convergent validity, defined as the correlation among drug rankings across frameworks, can be assessed using Kendall's W coefficient. Framework reliability is evaluated using intraclass correlation coefficients (ICC), which measure the stability of outcomes across users. Drugs can be assessed by independent physician and non-physician evaluators, who can use published drug trial data and instructions provided by framework developers to assign each drug a numeric or letter score. Mean scores for drugs within pre-defined categories (e.g., condition; indication) are rank-ordered to estimate Kendall's W. Multiple scores for the same drug are compared using ICC. To evaluate stability of results, W and ICC are assessed with varying numbers of evaluators and frameworks. The method was applied here by 8 evaluators, who assessed 15 oncology drugs and completed a survey on their experiences. RESULTS: Excluding review of drug trial data, each assessment took on average 25 minutes for ASCO, 21 for ICER, 14 for ESMO, and 8 for NCCN. Mean time to review each drug's data was 20 minutes. Kendall's W was 0.560 (p=0.010), 0.562 (p=0.010), and 0.920 (p
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METHODS: Framework convergent validity, defined as the correlation among drug rankings across frameworks, can be assessed using Kendall's W coefficient. Framework reliability is evaluated using intraclass correlation coefficients (ICC), which measure the stability of outcomes across users. Drugs can be assessed by independent physician and non-physician evaluators, who can use published drug trial data and instructions provided by framework developers to assign each drug a numeric or letter score. Mean scores for drugs within pre-defined categories (e.g., condition; indication) are rank-ordered to estimate Kendall's W. Multiple scores for the same drug are compared using ICC. To evaluate stability of results, W and ICC are assessed with varying numbers of evaluators and frameworks. The method was applied here by 8 evaluators, who assessed 15 oncology drugs and completed a survey on their experiences. RESULTS: Excluding review of drug trial data, each assessment took on average 25 minutes for ASCO, 21 for ICER, 14 for ESMO, and 8 for NCCN. Mean time to review each drug's data was 20 minutes. Kendall's W was 0.560 (p=0.010), 0.562 (p=0.010), and 0.920 (p&lt;0.001) for drugs assessed in breast, lung, and prostate cancers, respectively. ICC (95% CI) for ASCO, ESMO, ICER, and NCCN were: 0.800 (0.660-0.913), 0.818 (0.686-0.921), 0.652 (0.466-0.834), and 0.153 (0.0045-0.371), respectively. Evaluators considered framework usability reasonable with this method. CONCLUSIONS: This novel method allows quantitative analyses of value assessment frameworks' convergent validity and inter-rater reliability. Although the approach can be used to determine the reproducibility of value assessments produced by these frameworks, the true test of their contribution to value-based decision-making will be how they influence decisions made by clinicians and patients when used in clinical practice settings.</description><identifier>ISSN: 1098-3015</identifier><identifier>EISSN: 1524-4733</identifier><identifier>DOI: 10.1016/j.jval.2017.05.005</identifier><language>eng</language><publisher>Lawrenceville: Elsevier Science Ltd</publisher><subject>Averages ; Breast cancer ; Cancer ; Cancer therapies ; Clinical medicine ; Convergent validity ; Decision making ; Drug delivery systems ; Drug development ; Drug screening ; Evaluation ; Lung cancer ; Oncology ; Prostate ; Prostate cancer ; Reliability ; Reproducibility ; Value</subject><ispartof>Value in health, 2017-05, Vol.20 (5), p.A341</ispartof><rights>Copyright Elsevier Science Ltd. 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METHODS: Framework convergent validity, defined as the correlation among drug rankings across frameworks, can be assessed using Kendall's W coefficient. Framework reliability is evaluated using intraclass correlation coefficients (ICC), which measure the stability of outcomes across users. Drugs can be assessed by independent physician and non-physician evaluators, who can use published drug trial data and instructions provided by framework developers to assign each drug a numeric or letter score. Mean scores for drugs within pre-defined categories (e.g., condition; indication) are rank-ordered to estimate Kendall's W. Multiple scores for the same drug are compared using ICC. To evaluate stability of results, W and ICC are assessed with varying numbers of evaluators and frameworks. The method was applied here by 8 evaluators, who assessed 15 oncology drugs and completed a survey on their experiences. RESULTS: Excluding review of drug trial data, each assessment took on average 25 minutes for ASCO, 21 for ICER, 14 for ESMO, and 8 for NCCN. Mean time to review each drug's data was 20 minutes. Kendall's W was 0.560 (p=0.010), 0.562 (p=0.010), and 0.920 (p&lt;0.001) for drugs assessed in breast, lung, and prostate cancers, respectively. ICC (95% CI) for ASCO, ESMO, ICER, and NCCN were: 0.800 (0.660-0.913), 0.818 (0.686-0.921), 0.652 (0.466-0.834), and 0.153 (0.0045-0.371), respectively. Evaluators considered framework usability reasonable with this method. CONCLUSIONS: This novel method allows quantitative analyses of value assessment frameworks' convergent validity and inter-rater reliability. Although the approach can be used to determine the reproducibility of value assessments produced by these frameworks, the true test of their contribution to value-based decision-making will be how they influence decisions made by clinicians and patients when used in clinical practice settings.</description><subject>Averages</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Clinical medicine</subject><subject>Convergent validity</subject><subject>Decision making</subject><subject>Drug delivery systems</subject><subject>Drug development</subject><subject>Drug screening</subject><subject>Evaluation</subject><subject>Lung cancer</subject><subject>Oncology</subject><subject>Prostate</subject><subject>Prostate cancer</subject><subject>Reliability</subject><subject>Reproducibility</subject><subject>Value</subject><issn>1098-3015</issn><issn>1524-4733</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqNjM1OwzAQhC0EEuXnBTitxDlmHdcx5WaSTWORxJLtgDhVPZRDFFFoKM_fROIBOM2Mvplh7E4gFyiyh573v9uBpyg0R8UR1RlbCJUuk6WW8nzyuHpMJAp1ya7GsUfETKZqwYaGTOi8bdcQK4JXU9vCxncwbQGeamuebT1nV86sIzAhUAgNtRFKbxp6c_4lQOk85KbNyUPhu3V4mg6A5oWJ1rXQUKxcccMuPrbDuLv902t2X1LMq-TrsP8-7safTb8_Hj4ntElxpTOlJWr5v9YJzIBGKg</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Bentley, TG</creator><creator>Cohen, JT</creator><creator>Elkin, EB</creator><creator>Huynh, J</creator><creator>Mukherjea, A</creator><creator>Neville, TH</creator><creator>Mei, MG</creator><creator>Copher, R</creator><creator>Knoth, RL</creator><creator>Popescu, I</creator><creator>Lee, J</creator><creator>Zambrano, JM</creator><creator>Broder, MS</creator><general>Elsevier Science Ltd</general><scope>7QJ</scope></search><sort><creationdate>20170501</creationdate><title>MEASURING THE VALIDITY AND RELIABILITY OF VALUE ASSESSMENT FRAMEWORKS FOR CANCER DRUGS: AN EVALUATION METHOD</title><author>Bentley, TG ; Cohen, JT ; Elkin, EB ; Huynh, J ; Mukherjea, A ; Neville, TH ; Mei, MG ; Copher, R ; Knoth, RL ; Popescu, I ; Lee, J ; Zambrano, JM ; Broder, MS</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_20976573073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Averages</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Clinical medicine</topic><topic>Convergent validity</topic><topic>Decision making</topic><topic>Drug delivery systems</topic><topic>Drug development</topic><topic>Drug screening</topic><topic>Evaluation</topic><topic>Lung cancer</topic><topic>Oncology</topic><topic>Prostate</topic><topic>Prostate cancer</topic><topic>Reliability</topic><topic>Reproducibility</topic><topic>Value</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bentley, TG</creatorcontrib><creatorcontrib>Cohen, JT</creatorcontrib><creatorcontrib>Elkin, EB</creatorcontrib><creatorcontrib>Huynh, J</creatorcontrib><creatorcontrib>Mukherjea, A</creatorcontrib><creatorcontrib>Neville, TH</creatorcontrib><creatorcontrib>Mei, MG</creatorcontrib><creatorcontrib>Copher, R</creatorcontrib><creatorcontrib>Knoth, RL</creatorcontrib><creatorcontrib>Popescu, I</creatorcontrib><creatorcontrib>Lee, J</creatorcontrib><creatorcontrib>Zambrano, JM</creatorcontrib><creatorcontrib>Broder, MS</creatorcontrib><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><jtitle>Value in health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bentley, TG</au><au>Cohen, JT</au><au>Elkin, EB</au><au>Huynh, J</au><au>Mukherjea, A</au><au>Neville, TH</au><au>Mei, MG</au><au>Copher, R</au><au>Knoth, RL</au><au>Popescu, I</au><au>Lee, J</au><au>Zambrano, JM</au><au>Broder, MS</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MEASURING THE VALIDITY AND RELIABILITY OF VALUE ASSESSMENT FRAMEWORKS FOR CANCER DRUGS: AN EVALUATION METHOD</atitle><jtitle>Value in health</jtitle><date>2017-05-01</date><risdate>2017</risdate><volume>20</volume><issue>5</issue><spage>A341</spage><pages>A341-</pages><issn>1098-3015</issn><eissn>1524-4733</eissn><abstract>OBJECTIVES: We aimed to develop a methodology for evaluating convergent validity and inter-rater reliability of value assessment frameworks. 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RESULTS: Excluding review of drug trial data, each assessment took on average 25 minutes for ASCO, 21 for ICER, 14 for ESMO, and 8 for NCCN. Mean time to review each drug's data was 20 minutes. Kendall's W was 0.560 (p=0.010), 0.562 (p=0.010), and 0.920 (p&lt;0.001) for drugs assessed in breast, lung, and prostate cancers, respectively. ICC (95% CI) for ASCO, ESMO, ICER, and NCCN were: 0.800 (0.660-0.913), 0.818 (0.686-0.921), 0.652 (0.466-0.834), and 0.153 (0.0045-0.371), respectively. Evaluators considered framework usability reasonable with this method. CONCLUSIONS: This novel method allows quantitative analyses of value assessment frameworks' convergent validity and inter-rater reliability. 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subjects Averages
Breast cancer
Cancer
Cancer therapies
Clinical medicine
Convergent validity
Decision making
Drug delivery systems
Drug development
Drug screening
Evaluation
Lung cancer
Oncology
Prostate
Prostate cancer
Reliability
Reproducibility
Value
title MEASURING THE VALIDITY AND RELIABILITY OF VALUE ASSESSMENT FRAMEWORKS FOR CANCER DRUGS: AN EVALUATION METHOD
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