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Area of Science:

  • Public Health
  • Infectious Disease Research
  • Health Informatics

Background:

  • Tuberculosis (TB) remains a significant global health challenge, necessitating innovative approaches for prevention, care, and control.
  • Decision support systems (DSS) offer a knowledge base to guide researchers, policymakers, and healthcare professionals in combating TB.
  • Understanding the current landscape of DSS applications in TB is crucial for optimizing their impact.

Purpose of the Study:

  • To present a protocol for a scoping review focused on decision support systems (DSS) in tuberculosis (TB).
  • To identify key topics, categorize DSS applications, and define main outcomes and research gaps related to TB.
  • To provide a comprehensive overview of how DSS are utilized in the field of TB.

Main Methods:

  • A scoping review protocol will be followed.
  • Five electronic bibliographic databases will be searched for literature published between 2006 and 2019.
  • Two independent investigators will screen articles based on predefined inclusion criteria, followed by data extraction and reporting.

Main Results:

  • This section will report the findings from the scoping review.
  • Results will categorize the identified topics where DSS are applied to TB.
  • Key outcomes and existing research gaps in DSS for TB will be clarified.

Conclusions:

  • The review will provide a broad understanding of the current utilization of DSS in TB research and practice.
  • The findings will inform future research directions and policy development for TB control.
  • This work aims to enhance the effective deployment of DSS to reduce the global TB burden.