Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study

Objective The Grades of Recommendations, Assessment, Development and Evaluation working group recently developed an innovative approach to interpreting results from network meta-analyses (NMA) through minimally and partially contextualised methods; however, the optimal method for presenting results...

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Main Authors: Lehana Thabane, Jason W Busse, Behnam Sadeghirad, Gordon H Guyatt, Mohit Bhandari, Romina Brignardello-Petersen, Fernando Kenji Nampo, Carlos A Cuello-Garcia, Raveendhara R Bannuru, Mark R Phillips, Yu Jia Guo, Sofia Bzovsky
Format: Article
Language:English
Published: BMJ Publishing Group 2022-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/6/e056400.full
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author Lehana Thabane
Jason W Busse
Behnam Sadeghirad
Gordon H Guyatt
Mohit Bhandari
Romina Brignardello-Petersen
Fernando Kenji Nampo
Carlos A Cuello-Garcia
Raveendhara R Bannuru
Mark R Phillips
Yu Jia Guo
Sofia Bzovsky
author_facet Lehana Thabane
Jason W Busse
Behnam Sadeghirad
Gordon H Guyatt
Mohit Bhandari
Romina Brignardello-Petersen
Fernando Kenji Nampo
Carlos A Cuello-Garcia
Raveendhara R Bannuru
Mark R Phillips
Yu Jia Guo
Sofia Bzovsky
author_sort Lehana Thabane
collection DOAJ
description Objective The Grades of Recommendations, Assessment, Development and Evaluation working group recently developed an innovative approach to interpreting results from network meta-analyses (NMA) through minimally and partially contextualised methods; however, the optimal method for presenting results for multiple outcomes using this approach remains uncertain. We; therefore, developed and iteratively modified a presentation method that effectively summarises NMA results of multiple outcomes for clinicians using this new interpretation approach.Design Qualitative descriptive study.Setting A steering group of seven individuals with experience in NMA and design validation studies developed two colour-coded presentation formats for evaluation. Through an iterative process, we assessed the validity of both formats to maximise their clarity and ease of interpretation.Participants 26 participants including 20 clinicians who routinely provide patient care, 3 research staff/research methodologists and 3 residents.Main outcome measures Two team members used qualitative content analysis to independently analyse transcripts of all interviews. The steering group reviewed the analyses and responded with serial modifications of the presentation format.Results To ensure that readers could easily discern the benefits and safety of each included treatment across all assessed outcomes, participants primarily focused on simple information presentations, with intuitive organisational decisions and colour coding. Feedback ultimately resulted in two presentation versions, each preferred by a substantial group of participants, and development of a legend to facilitate interpretation.Conclusion Iterative design validation facilitated the development of two novel formats for presenting minimally or partially contextualised NMA results for multiple outcomes. These presentation approaches appeal to audiences that include clinicians with limited familiarity with NMAs.
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spelling doaj-art-ea517690c7f3421586909efb3689b6142025-01-28T04:15:09ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2021-056400Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive studyLehana Thabane0Jason W Busse1Behnam Sadeghirad2Gordon H Guyatt3Mohit Bhandari4Romina Brignardello-Petersen5Fernando Kenji Nampo6Carlos A Cuello-Garcia7Raveendhara R Bannuru8Mark R Phillips9Yu Jia Guo10Sofia Bzovsky11Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, CanadaprofessorDepartment of Health Research Methods, Evidence and Impact, Mcmaster University, Hamilton, Ontario, CanadaHealth Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, CanadaHealth Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, CanadamethodologistDepartment of Latin-American Institute of Life and Nature science, Federal University of Latin-American Integration, Foz do Iguacu, BrazilHealth Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, CanadaCenter for Treatment Comparison and Integrative Analysis, Tufts Medical Center, Boston, Massachusetts, USAHealth Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, CanadaHealth Sciences, McMaster University, Hamilton, Ontario, CanadaDepartment of Surgery - Division of Orthopaedics, McMaster University, Hamilton, Ontario, CanadaObjective The Grades of Recommendations, Assessment, Development and Evaluation working group recently developed an innovative approach to interpreting results from network meta-analyses (NMA) through minimally and partially contextualised methods; however, the optimal method for presenting results for multiple outcomes using this approach remains uncertain. We; therefore, developed and iteratively modified a presentation method that effectively summarises NMA results of multiple outcomes for clinicians using this new interpretation approach.Design Qualitative descriptive study.Setting A steering group of seven individuals with experience in NMA and design validation studies developed two colour-coded presentation formats for evaluation. Through an iterative process, we assessed the validity of both formats to maximise their clarity and ease of interpretation.Participants 26 participants including 20 clinicians who routinely provide patient care, 3 research staff/research methodologists and 3 residents.Main outcome measures Two team members used qualitative content analysis to independently analyse transcripts of all interviews. The steering group reviewed the analyses and responded with serial modifications of the presentation format.Results To ensure that readers could easily discern the benefits and safety of each included treatment across all assessed outcomes, participants primarily focused on simple information presentations, with intuitive organisational decisions and colour coding. Feedback ultimately resulted in two presentation versions, each preferred by a substantial group of participants, and development of a legend to facilitate interpretation.Conclusion Iterative design validation facilitated the development of two novel formats for presenting minimally or partially contextualised NMA results for multiple outcomes. These presentation approaches appeal to audiences that include clinicians with limited familiarity with NMAs.https://bmjopen.bmj.com/content/12/6/e056400.full
spellingShingle Lehana Thabane
Jason W Busse
Behnam Sadeghirad
Gordon H Guyatt
Mohit Bhandari
Romina Brignardello-Petersen
Fernando Kenji Nampo
Carlos A Cuello-Garcia
Raveendhara R Bannuru
Mark R Phillips
Yu Jia Guo
Sofia Bzovsky
Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study
BMJ Open
title Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study
title_full Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study
title_fullStr Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study
title_full_unstemmed Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study
title_short Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study
title_sort development and design validation of a novel network meta analysis presentation tool for multiple outcomes a qualitative descriptive study
url https://bmjopen.bmj.com/content/12/6/e056400.full
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