TY - JOUR
T1 - Recommendation mapping of the World Health Organization's guidelines on tuberculosis
T2 - A new approach to digitizing and presenting recommendations
AU - Hajizadeh, Anisa
AU - Lotfi, Tamara
AU - Falzon, Dennis
AU - Mertz, Dominik
AU - Nieuwlaat, Robby
AU - Gebreselassie, Nebiat
AU - Jaramillo, Ernesto
AU - Korobitsyn, Alexei
AU - Zignol, Matteo
AU - Mirzayev, Fuad
AU - Ismail, Nazir
AU - Brozek, Jan
AU - Loeb, Mark
AU - Piggott, Thomas
AU - Darzi, Andrea
AU - Wang, Qi
AU - Mahmood, Al Subhi
AU - Saroey, Praveen
AU - Matthews, Micayla
AU - Schünemann, Finn
AU - Dietl, Bart
AU - Nowak, Artur
AU - Kulesza, Kuba
AU - Muti-Schünemann, Giovanna E.U.
AU - Bognanni, Antonio
AU - Charide, Rana
AU - Akl, Elie A.
AU - Kasaeva, Tereza
AU - Schünemann, Holger J.
N1 - Publisher Copyright:
© 2021
PY - 2021/6
Y1 - 2021/6
N2 - Objective: Having up-to-date health policy recommendations accessible in one location is in high demand by guideline users. We developed an easy to navigate interactive approach to organize recommendations and applied it to tuberculosis (TB) guidelines of the World Health Organization (WHO). Study Design: We used a mixed-methods study design to develop a framework for recommendation mapping with seven key methodological considerations. We define a recommendation map as an online repository of recommendations from several guidelines on a condition, providing links to the underlying evidence and expert judgments that inform them, allowing users to filter and cross-tabulate the search results. We engaged guideline developers, users, and health software engineers in an iterative process to elaborate the WHO eTB recommendation map. Results: Applying the seven-step framework, we included 228 recommendations, linked to 103 guideline questions and organized the recommendation map according to key components of the health question, including the original recommendations and rationale (https://who.tuberculosis.recmap.org/). Conclusion: The recommendation mapping framework provides the entire continuum of evidence mapping by framing recommendations within a guideline questions’ population, interventions, and comparators domains. Recommendation maps should allow guideline developers to organize their work meaningfully, standardize the automated publication of guidelines through links to the GRADEpro guideline development tool, and increase their accessibility and usability.
AB - Objective: Having up-to-date health policy recommendations accessible in one location is in high demand by guideline users. We developed an easy to navigate interactive approach to organize recommendations and applied it to tuberculosis (TB) guidelines of the World Health Organization (WHO). Study Design: We used a mixed-methods study design to develop a framework for recommendation mapping with seven key methodological considerations. We define a recommendation map as an online repository of recommendations from several guidelines on a condition, providing links to the underlying evidence and expert judgments that inform them, allowing users to filter and cross-tabulate the search results. We engaged guideline developers, users, and health software engineers in an iterative process to elaborate the WHO eTB recommendation map. Results: Applying the seven-step framework, we included 228 recommendations, linked to 103 guideline questions and organized the recommendation map according to key components of the health question, including the original recommendations and rationale (https://who.tuberculosis.recmap.org/). Conclusion: The recommendation mapping framework provides the entire continuum of evidence mapping by framing recommendations within a guideline questions’ population, interventions, and comparators domains. Recommendation maps should allow guideline developers to organize their work meaningfully, standardize the automated publication of guidelines through links to the GRADEpro guideline development tool, and increase their accessibility and usability.
KW - Evidence-based practice
KW - GRADE
KW - Guideline
KW - Tuberculosis
UR - https://www.scopus.com/pages/publications/85106241069
U2 - 10.1016/j.jclinepi.2021.02.009
DO - 10.1016/j.jclinepi.2021.02.009
M3 - Article
C2 - 33762142
AN - SCOPUS:85106241069
SN - 0895-4356
VL - 134
SP - 138
EP - 149
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -