Recommendation mapping of the World Health Organization's guidelines on tuberculosis: A new approach to digitizing and presenting recommendations

J Clin Epidemiol. 2021 Jun:134:138-149. doi: 10.1016/j.jclinepi.2021.02.009. Epub 2021 Mar 22.

Abstract

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.

Keywords: Evidence-based practice; GRADE; Guideline; Tuberculosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Evidence-Based Medicine / organization & administration*
  • Humans
  • Research Design
  • Software
  • Tuberculosis*
  • World Health Organization