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Defining decision thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks: a protocol for a randomised methodological study (GRADE-THRESHOLD)
IntroductionThe Grading of Recommendations Assessment, Development and Evaluation (GRADE) and similar Evidence to Decision (EtD) frameworks require its users to judge how substantial the effects of interventions are on desirable and undesirable people-important health outcomes. However, decision thr...
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Published in: | BMJ open 2022-03, Vol.12 (3), p.e053246-e053246 |
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creator | Morgano, Gian Paolo Mbuagbaw, Lawrence Santesso, Nancy Xie, Feng Brozek, Jan L Siebert, Uwe Bognanni, Antonio Wiercioch, Wojtek Piggott, Thomas Darzi, Andrea J Akl, Elie A Verstijnen, Ilse M Parmelli, Elena Saz-Parkinson, Zuleika Alonso-Coello, Pablo Schünemann, Holger J |
description | IntroductionThe Grading of Recommendations Assessment, Development and Evaluation (GRADE) and similar Evidence to Decision (EtD) frameworks require its users to judge how substantial the effects of interventions are on desirable and undesirable people-important health outcomes. However, decision thresholds (DTs) that could help understand the magnitude of intervention effects and serve as reference for interpretation of findings are not yet available.The objective of this study is an approach to derive and use DTs for EtD judgments about the magnitude of health benefits and harms. We hypothesise that approximate DTs could have the ability to discriminate between the existing four categories of EtD judgments (Trivial, Small, Moderate, Large), support panels of decision-makers in their work, and promote consistency and transparency in judgments.Methods and analysisWe will conduct a methodological randomised controlled trial to collect the data that allow deriving the DTs. We will invite clinicians, epidemiologists, decision scientists, health research methodologists, experts in Health Technology Assessment (HTA), members of guideline development groups and the public to participate in the trial. Then, we will investigate the validity of our DTs by measuring the agreement between judgments that were made in the past by guideline panels and the judgments that our DTs approach would suggest if applied on the same guideline data.Ethics and disseminationThe Hamilton Integrated Research Ethics Board reviewed this study as a quality improvement study and determined that it requires no further consent. Survey participants will be required to read a consent statement in order to participate in this study at the beginning of the trial. This statement reads: You are being invited to participate in a research project which aims to identify indicative DTs that could assist users of the GRADE EtD frameworks in making judgments. Your input will be used in determining these indicative thresholds. By completing this survey, you provide consent that the anonymised data collected will be used for the research study and to be summarised in aggregate in publication and electronic tools.PROTOCOL registration numberNCT05237635. |
doi_str_mv | 10.1136/bmjopen-2021-053246 |
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However, decision thresholds (DTs) that could help understand the magnitude of intervention effects and serve as reference for interpretation of findings are not yet available.The objective of this study is an approach to derive and use DTs for EtD judgments about the magnitude of health benefits and harms. We hypothesise that approximate DTs could have the ability to discriminate between the existing four categories of EtD judgments (Trivial, Small, Moderate, Large), support panels of decision-makers in their work, and promote consistency and transparency in judgments.Methods and analysisWe will conduct a methodological randomised controlled trial to collect the data that allow deriving the DTs. We will invite clinicians, epidemiologists, decision scientists, health research methodologists, experts in Health Technology Assessment (HTA), members of guideline development groups and the public to participate in the trial. Then, we will investigate the validity of our DTs by measuring the agreement between judgments that were made in the past by guideline panels and the judgments that our DTs approach would suggest if applied on the same guideline data.Ethics and disseminationThe Hamilton Integrated Research Ethics Board reviewed this study as a quality improvement study and determined that it requires no further consent. Survey participants will be required to read a consent statement in order to participate in this study at the beginning of the trial. This statement reads: You are being invited to participate in a research project which aims to identify indicative DTs that could assist users of the GRADE EtD frameworks in making judgments. Your input will be used in determining these indicative thresholds. By completing this survey, you provide consent that the anonymised data collected will be used for the research study and to be summarised in aggregate in publication and electronic tools.PROTOCOL registration numberNCT05237635.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2021-053246</identifier><identifier>PMID: 35273045</identifier><language>eng</language><publisher>England: British Medical Journal Publishing Group</publisher><subject>Choice Behavior ; Clinical trials ; Decision making ; Epidemiology ; Evidence Based Practice ; Evidence-Based Medicine - methods ; health policy ; Humans ; Intervention ; Judgment ; protocols & guidelines ; Public health ; quality in healthcare ; Randomized Controlled Trials as Topic ; Research Report ; statistics & research methods ; Working groups</subject><ispartof>BMJ open, 2022-03, Vol.12 (3), p.e053246-e053246</ispartof><rights>Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. 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Published by BMJ. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b469t-c8174f4d9a62c19e62511261507b5291eb0be04167ef0c856e746fee36a4b5743</citedby><cites>FETCH-LOGICAL-b469t-c8174f4d9a62c19e62511261507b5291eb0be04167ef0c856e746fee36a4b5743</cites><orcidid>0000-0002-2498-1697 ; 0000-0002-3444-8618 ; 0000-0002-3730-8530 ; 0000-0003-3454-6266 ; 0000-0002-8001-8504 ; 0000-0001-5855-5461</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2638120670/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2638120670?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3192,25752,27923,27924,37011,37012,44589,53790,53792,55340,55349,74897,77367,77368,77431,77457</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35273045$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Morgano, Gian Paolo</creatorcontrib><creatorcontrib>Mbuagbaw, Lawrence</creatorcontrib><creatorcontrib>Santesso, Nancy</creatorcontrib><creatorcontrib>Xie, Feng</creatorcontrib><creatorcontrib>Brozek, Jan L</creatorcontrib><creatorcontrib>Siebert, Uwe</creatorcontrib><creatorcontrib>Bognanni, Antonio</creatorcontrib><creatorcontrib>Wiercioch, Wojtek</creatorcontrib><creatorcontrib>Piggott, Thomas</creatorcontrib><creatorcontrib>Darzi, Andrea J</creatorcontrib><creatorcontrib>Akl, Elie A</creatorcontrib><creatorcontrib>Verstijnen, Ilse M</creatorcontrib><creatorcontrib>Parmelli, Elena</creatorcontrib><creatorcontrib>Saz-Parkinson, Zuleika</creatorcontrib><creatorcontrib>Alonso-Coello, Pablo</creatorcontrib><creatorcontrib>Schünemann, Holger J</creatorcontrib><title>Defining decision thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks: a protocol for a randomised methodological study (GRADE-THRESHOLD)</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><addtitle>BMJ Open</addtitle><description>IntroductionThe Grading of Recommendations Assessment, Development and Evaluation (GRADE) and similar Evidence to Decision (EtD) frameworks require its users to judge how substantial the effects of interventions are on desirable and undesirable people-important health outcomes. However, decision thresholds (DTs) that could help understand the magnitude of intervention effects and serve as reference for interpretation of findings are not yet available.The objective of this study is an approach to derive and use DTs for EtD judgments about the magnitude of health benefits and harms. We hypothesise that approximate DTs could have the ability to discriminate between the existing four categories of EtD judgments (Trivial, Small, Moderate, Large), support panels of decision-makers in their work, and promote consistency and transparency in judgments.Methods and analysisWe will conduct a methodological randomised controlled trial to collect the data that allow deriving the DTs. We will invite clinicians, epidemiologists, decision scientists, health research methodologists, experts in Health Technology Assessment (HTA), members of guideline development groups and the public to participate in the trial. Then, we will investigate the validity of our DTs by measuring the agreement between judgments that were made in the past by guideline panels and the judgments that our DTs approach would suggest if applied on the same guideline data.Ethics and disseminationThe Hamilton Integrated Research Ethics Board reviewed this study as a quality improvement study and determined that it requires no further consent. Survey participants will be required to read a consent statement in order to participate in this study at the beginning of the trial. This statement reads: You are being invited to participate in a research project which aims to identify indicative DTs that could assist users of the GRADE EtD frameworks in making judgments. Your input will be used in determining these indicative thresholds. By completing this survey, you provide consent that the anonymised data collected will be used for the research study and to be summarised in aggregate in publication and electronic tools.PROTOCOL registration numberNCT05237635.</description><subject>Choice Behavior</subject><subject>Clinical trials</subject><subject>Decision making</subject><subject>Epidemiology</subject><subject>Evidence Based Practice</subject><subject>Evidence-Based Medicine - methods</subject><subject>health policy</subject><subject>Humans</subject><subject>Intervention</subject><subject>Judgment</subject><subject>protocols & guidelines</subject><subject>Public health</subject><subject>quality in healthcare</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Research Report</subject><subject>statistics & research methods</subject><subject>Working groups</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9klFv0zAUhQNiYtPYL0BClnjZJMJsx3YSHpCmtayTJk0q49ly4usmJYk72xnav8dpy9h4IC-2r8_5fHN1kuQ9wZ8JycR51a_tBoaUYkpSzDPKxOvkiGLGUoE5f_Nsf5iceL_G8WO85Jy-TQ4zTvMsHo9eHczAtEM7rJCGuvWtHVBoHPjGdtojYx1aj3rVwxA8incNqC40qIIh2mJJDRo1yvUejX6ChAbQlVN62luDllDbPpq1CpHs0YX34P1E-4Rm8ACd3UyHLWb-oLpxq0OnV8uL2fwslloNQw0o2Cjft3c6D7MzZJzq4Zd1P_0XpNDG2WBr220bVshFnu1bDxr1EBqrbWdXba065MOoH_f89G6xnH9f3N7Mzt4lB0Z1Hk7263Hy49v87nKR3txeXV9e3KQVE2VI64LkzDBdKkFrUoKgnBAqCMd5xWlJoMIVYEZEDgbXBReQM2EAMqFYxXOWHSfXO662ai03ru2Ve5RWtXJbsG4llQtt3YHUGNOsqhhkOWWsEFVRGkxYQYzJTJHTyPq6Y23Gqgddxzk61b2AvrwZ2kau7IMsSsKpKCPgdA9w9n4EH2QcWQ1dpwawo5dUZPGdAhdT3x__ka7t6IY4qq2KUCxyHFXZTlU7670D89QMwXJKrdynVk6plbvURteH5__x5PmT0Sg43wmi---7_0P-BuIl-vY</recordid><startdate>20220310</startdate><enddate>20220310</enddate><creator>Morgano, Gian Paolo</creator><creator>Mbuagbaw, Lawrence</creator><creator>Santesso, Nancy</creator><creator>Xie, Feng</creator><creator>Brozek, Jan L</creator><creator>Siebert, Uwe</creator><creator>Bognanni, Antonio</creator><creator>Wiercioch, Wojtek</creator><creator>Piggott, Thomas</creator><creator>Darzi, Andrea J</creator><creator>Akl, Elie A</creator><creator>Verstijnen, Ilse M</creator><creator>Parmelli, Elena</creator><creator>Saz-Parkinson, Zuleika</creator><creator>Alonso-Coello, Pablo</creator><creator>Schünemann, Holger J</creator><general>British Medical Journal Publishing Group</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2498-1697</orcidid><orcidid>https://orcid.org/0000-0002-3444-8618</orcidid><orcidid>https://orcid.org/0000-0002-3730-8530</orcidid><orcidid>https://orcid.org/0000-0003-3454-6266</orcidid><orcidid>https://orcid.org/0000-0002-8001-8504</orcidid><orcidid>https://orcid.org/0000-0001-5855-5461</orcidid></search><sort><creationdate>20220310</creationdate><title>Defining decision thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks: a protocol for a randomised methodological study (GRADE-THRESHOLD)</title><author>Morgano, Gian Paolo ; Mbuagbaw, Lawrence ; Santesso, Nancy ; Xie, Feng ; Brozek, Jan L ; Siebert, Uwe ; Bognanni, Antonio ; Wiercioch, Wojtek ; Piggott, Thomas ; Darzi, Andrea J ; Akl, Elie A ; Verstijnen, Ilse M ; Parmelli, Elena ; Saz-Parkinson, Zuleika ; Alonso-Coello, Pablo ; Schünemann, Holger J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b469t-c8174f4d9a62c19e62511261507b5291eb0be04167ef0c856e746fee36a4b5743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Choice Behavior</topic><topic>Clinical trials</topic><topic>Decision making</topic><topic>Epidemiology</topic><topic>Evidence Based Practice</topic><topic>Evidence-Based Medicine - 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However, decision thresholds (DTs) that could help understand the magnitude of intervention effects and serve as reference for interpretation of findings are not yet available.The objective of this study is an approach to derive and use DTs for EtD judgments about the magnitude of health benefits and harms. We hypothesise that approximate DTs could have the ability to discriminate between the existing four categories of EtD judgments (Trivial, Small, Moderate, Large), support panels of decision-makers in their work, and promote consistency and transparency in judgments.Methods and analysisWe will conduct a methodological randomised controlled trial to collect the data that allow deriving the DTs. We will invite clinicians, epidemiologists, decision scientists, health research methodologists, experts in Health Technology Assessment (HTA), members of guideline development groups and the public to participate in the trial. Then, we will investigate the validity of our DTs by measuring the agreement between judgments that were made in the past by guideline panels and the judgments that our DTs approach would suggest if applied on the same guideline data.Ethics and disseminationThe Hamilton Integrated Research Ethics Board reviewed this study as a quality improvement study and determined that it requires no further consent. Survey participants will be required to read a consent statement in order to participate in this study at the beginning of the trial. This statement reads: You are being invited to participate in a research project which aims to identify indicative DTs that could assist users of the GRADE EtD frameworks in making judgments. Your input will be used in determining these indicative thresholds. By completing this survey, you provide consent that the anonymised data collected will be used for the research study and to be summarised in aggregate in publication and electronic tools.PROTOCOL registration numberNCT05237635.</abstract><cop>England</cop><pub>British Medical Journal Publishing Group</pub><pmid>35273045</pmid><doi>10.1136/bmjopen-2021-053246</doi><orcidid>https://orcid.org/0000-0002-2498-1697</orcidid><orcidid>https://orcid.org/0000-0002-3444-8618</orcidid><orcidid>https://orcid.org/0000-0002-3730-8530</orcidid><orcidid>https://orcid.org/0000-0003-3454-6266</orcidid><orcidid>https://orcid.org/0000-0002-8001-8504</orcidid><orcidid>https://orcid.org/0000-0001-5855-5461</orcidid><oa>free_for_read</oa></addata></record> |
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source | BMJ Open Access Journals; Open Access: PubMed Central; BMJ; Publicly Available Content Database |
subjects | Choice Behavior Clinical trials Decision making Epidemiology Evidence Based Practice Evidence-Based Medicine - methods health policy Humans Intervention Judgment protocols & guidelines Public health quality in healthcare Randomized Controlled Trials as Topic Research Report statistics & research methods Working groups |
title | Defining decision thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks: a protocol for a randomised methodological study (GRADE-THRESHOLD) |
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