INTRODUCTION: Professional societies, like many other organizations around the world, have recognized the need to use more rigorous processes to ensure that healthcare recommendations are informed by the best available research evidence. This is the 11th of a series of 14 articles that methodologists and researchers from around the world prepared to advise guideline developers for respiratory and other diseases on how to achieve this goal. For this article, we developed five key questions and updated a review of the literature on moving from evidence to recommendations. METHODS: We addressed the following specific questions.What is the strength of a recommendation and what determines the strength? What are the implications of strong and weak recommendations for patients, clinicians, and policy makers? Should guideline panels make recommendations in the face of very low-quality evidence? Under which circumstances should guideline panels make research recommendations? How should recommendations be formulated and presented? We searched PubMed and other databases of methodological studies for existing systematic reviews and relevant methodological research. We did not conduct systematic reviews ourselves. Our conclusions are based on available evidence, consideration of what guideline developers are doing, and pre- and postworkshop discussions. RESULTS AND DISCUSSION: The strength of a recommendation reflects the extent to which guideline developers can, across the range of patients for whom the recommendations are intended, be confident that the desirable effects of following the recommendation outweigh the undesirable effects. Four factors influence the strength of a recommendation: the quality of evidence supporting the recommendation, the balance between desirable and undesirable effects, the uncertainty or variability of patient values and preferences, and costs. Strong and weak (also called "conditional") recommendations have distinct implications for patients, clinicians, and policy makers. Adherence to strong recommendations or, in the case of weak (conditional) recommendations, documentation of discussion or shared decision making with a patient, might be used as quality measures or performance indicators. Clinicians desire guidance regardless of the quality of the underlying evidence. Very low-quality evidence should ideally result in either appropriately labeled recommendations (i.e., as based on very low-quality evidence) or a statement that the guideline panel did not reach consensus on the recommendation due to the lack of confidence in the effect estimates. However, guideline panels often have more resources, time, and information than practicing clinicians. Therefore, they may be in a position to use their best judgments to make recommendations even when there is very low-quality evidence, although some guideline developers disagree with this approach and prefer a general approach of not making recommendations in the face of very low-quality evidence. Guideline panels should consider making research recommendations when there is important uncertainty about the desirable and undesirable effects of an intervention, further research could reduce that uncertainty, and the potential benefits and savings of reducing the uncertainty outweigh the potential harms of not making the research recommendation. Recommendations for additional research should be as precise and specific as possible.
INTRODUCTION: Professional societies, like many other organizations around the world, have recognized the need to use more rigorous processes to ensure that healthcare recommendations are informed by the best available research evidence. This is the 11th of a series of 14 articles that methodologists and researchers from around the world prepared to advise guideline developers for respiratory and other diseases on how to achieve this goal. For this article, we developed five key questions and updated a review of the literature on moving from evidence to recommendations. METHODS: We addressed the following specific questions.What is the strength of a recommendation and what determines the strength? What are the implications of strong and weak recommendations for patients, clinicians, and policy makers? Should guideline panels make recommendations in the face of very low-quality evidence? Under which circumstances should guideline panels make research recommendations? How should recommendations be formulated and presented? We searched PubMed and other databases of methodological studies for existing systematic reviews and relevant methodological research. We did not conduct systematic reviews ourselves. Our conclusions are based on available evidence, consideration of what guideline developers are doing, and pre- and postworkshop discussions. RESULTS AND DISCUSSION: The strength of a recommendation reflects the extent to which guideline developers can, across the range of patients for whom the recommendations are intended, be confident that the desirable effects of following the recommendation outweigh the undesirable effects. Four factors influence the strength of a recommendation: the quality of evidence supporting the recommendation, the balance between desirable and undesirable effects, the uncertainty or variability of patient values and preferences, and costs. Strong and weak (also called "conditional") recommendations have distinct implications for patients, clinicians, and policy makers. Adherence to strong recommendations or, in the case of weak (conditional) recommendations, documentation of discussion or shared decision making with a patient, might be used as quality measures or performance indicators. Clinicians desire guidance regardless of the quality of the underlying evidence. Very low-quality evidence should ideally result in either appropriately labeled recommendations (i.e., as based on very low-quality evidence) or a statement that the guideline panel did not reach consensus on the recommendation due to the lack of confidence in the effect estimates. However, guideline panels often have more resources, time, and information than practicing clinicians. Therefore, they may be in a position to use their best judgments to make recommendations even when there is very low-quality evidence, although some guideline developers disagree with this approach and prefer a general approach of not making recommendations in the face of very low-quality evidence. Guideline panels should consider making research recommendations when there is important uncertainty about the desirable and undesirable effects of an intervention, further research could reduce that uncertainty, and the potential benefits and savings of reducing the uncertainty outweigh the potential harms of not making the research recommendation. Recommendations for additional research should be as precise and specific as possible.
Authors: Michael G Fehlings; Jefferson R Wilson; Lindsay A Tetreault; Bizhan Aarabi; Paul Anderson; Paul M Arnold; Darrel S Brodke; Anthony S Burns; Kazuhiro Chiba; Joseph R Dettori; Julio C Furlan; Gregory Hawryluk; Langston T Holly; Susan Howley; Tara Jeji; Sukhvinder Kalsi-Ryan; Mark Kotter; Shekar Kurpad; Brian K Kwon; Ralph J Marino; Allan R Martin; Eric Massicotte; Geno Merli; James W Middleton; Hiroaki Nakashima; Narihito Nagoshi; Katherine Palmieri; Andrea C Skelly; Anoushka Singh; Eve C Tsai; Alexander Vaccaro; Albert Yee; James S Harrop Journal: Global Spine J Date: 2017-09-05
Authors: Michael G Fehlings; Lindsay A Tetreault; Jefferson R Wilson; Bizhan Aarabi; Paul Anderson; Paul M Arnold; Darrel S Brodke; Anthony S Burns; Kazuhiro Chiba; Joseph R Dettori; Julio C Furlan; Gregory Hawryluk; Langston T Holly; Susan Howley; Tara Jeji; Sukhvinder Kalsi-Ryan; Mark Kotter; Shekar Kurpad; Ralph J Marino; Allan R Martin; Eric Massicotte; Geno Merli; James W Middleton; Hiroaki Nakashima; Narihito Nagoshi; Katherine Palmieri; Anoushka Singh; Andrea C Skelly; Eve C Tsai; Alexander Vaccaro; Albert Yee; James S Harrop Journal: Global Spine J Date: 2017-09-05
Authors: Carlijn R Hooijmans; Rob B M de Vries; Merel Ritskes-Hoitinga; Maroeska M Rovers; Mariska M Leeflang; Joanna IntHout; Kimberley E Wever; Lotty Hooft; Hans de Beer; Ton Kuijpers; Malcolm R Macleod; Emily S Sena; Gerben Ter Riet; Rebecca L Morgan; Kristina A Thayer; Andrew A Rooney; Gordon H Guyatt; Holger J Schünemann; Miranda W Langendam Journal: PLoS One Date: 2018-01-11 Impact factor: 3.240
Authors: Michael G Fehlings; Allan R Martin; Lindsay A Tetreault; Bizhan Aarabi; Paul Anderson; Paul M Arnold; Darrel Brodke; Anthony S Burns; Kazuhiro Chiba; Joseph R Dettori; Julio C Furlan; Gregory Hawryluk; Langston T Holly; Susan Howley; Tara Jeji; Sukhvinder Kalsi-Ryan; Mark Kotter; Shekar Kurpad; Brian K Kwon; Ralph J Marino; Eric Massicotte; Geno Merli; James W Middleton; Hiroaki Nakashima; Narihito Nagoshi; Katherine Palmieri; Anoushka Singh; Andrea C Skelly; Eve C Tsai; Alexander Vaccaro; Jefferson R Wilson; Albert Yee; James S Harrop Journal: Global Spine J Date: 2017-09-05
Authors: Haileyesus Getahun; Alberto Matteelli; Ibrahim Abubakar; Mohamed Abdel Aziz; Annabel Baddeley; Draurio Barreira; Saskia Den Boon; Susana Marta Borroto Gutierrez; Judith Bruchfeld; Erlina Burhan; Solange Cavalcante; Rolando Cedillos; Richard Chaisson; Cynthia Bin-Eng Chee; Lucy Chesire; Elizabeth Corbett; Masoud Dara; Justin Denholm; Gerard de Vries; Dennis Falzon; Nathan Ford; Margaret Gale-Rowe; Chris Gilpin; Enrico Girardi; Un-Yeong Go; Darshini Govindasamy; Alison D Grant; Malgorzata Grzemska; Ross Harris; C Robert Horsburgh; Asker Ismayilov; Ernesto Jaramillo; Sandra Kik; Katharina Kranzer; Christian Lienhardt; Philip LoBue; Knut Lönnroth; Guy Marks; Dick Menzies; Giovanni Battista Migliori; Davide Mosca; Ya Diul Mukadi; Alwyn Mwinga; Lisa Nelson; Nobuyuki Nishikiori; Anouk Oordt-Speets; Molebogeng Xheedha Rangaka; Andreas Reis; Lisa Rotz; Andreas Sandgren; Monica Sañé Schepisi; Holger J Schünemann; Surender Kumar Sharma; Giovanni Sotgiu; Helen R Stagg; Timothy R Sterling; Tamara Tayeb; Mukund Uplekar; Marieke J van der Werf; Wim Vandevelde; Femke van Kessel; Anna van't Hoog; Jay K Varma; Natalia Vezhnina; Constantia Voniatis; Marije Vonk Noordegraaf-Schouten; Diana Weil; Karin Weyer; Robert John Wilkinson; Takashi Yoshiyama; Jean Pierre Zellweger; Mario Raviglione Journal: Eur Respir J Date: 2015-09-24 Impact factor: 16.671
Authors: Marc Miravitlles; Nicolas Roche; João Cardoso; David Halpin; Zaurbek Aisanov; Hannu Kankaanranta; Vladimir Kobližek; Paweł Śliwiński; Leif Bjermer; Michael Tamm; Francesco Blasi; Claus F Vogelmeier Journal: Respir Res Date: 2018-01-18
Authors: Michael G Fehlings; Lindsay A Tetreault; K Daniel Riew; James W Middleton; Bizhan Aarabi; Paul M Arnold; Darrel S Brodke; Anthony S Burns; Simon Carette; Robert Chen; Kazuhiro Chiba; Joseph R Dettori; Julio C Furlan; James S Harrop; Langston T Holly; Sukhvinder Kalsi-Ryan; Mark Kotter; Brian K Kwon; Allan R Martin; James Milligan; Hiroaki Nakashima; Narihito Nagoshi; John Rhee; Anoushka Singh; Andrea C Skelly; Sumeet Sodhi; Jefferson R Wilson; Albert Yee; Jeffrey C Wang Journal: Global Spine J Date: 2017-09-05
Authors: Lindsay A Tetreault; Andrea C Skelly; Joseph R Dettori; Jefferson R Wilson; Allan R Martin; Michael G Fehlings Journal: Global Spine J Date: 2017-09-05