Aim of People-centred framework

The aim of the people-centred framework is to help countries to develop fully prioritized and budgeted NSPs based on a culture of making full use of the available data, which are aligned with national planning cycles and which provide the basis for a robust national response that can accelerate progress towards the goal of ending TB. In addition, applying the framework for other possible applications according to the country’s planning and policy cycle encourages the culture of data utilization and evidence translation into decision making and planning.

Major Components

This approach includes three major components:

1. Evidence is reviewed and analysed with a people-centred perspective along the continuum of care. This is to ensure that priority gaps and opportunities are identified according to community and patient perspectives, as a basis for designing and providing high-quality services for TB prevention, diagnosis and care that are accessible to all who need them.
2. TB programme planning is based on data and priorities are set to optimize the impact of investments. Extraction and review of all relevant data for use in planning should help countries to identify programmatic priorities and to design effective, evidence based interventions.
3. Evidence is generated according to programme needs. Countries identify programmatic gaps and generate/compile evidence that will help them to decide how best to allocate resources and to use data to continuously and critically assess and improve their work.

Inside this Guide

THE PEOPLE-CENTRED FRAMEWORK FOR TB PROGRAMME PLANNING AND PRIORITIZATION

• The continuum of care
• Three types of data
• Three planning steps

APPLICATION OF THE PEOPLE-CENTRED FRAMEWORK FOR TB PROGRAMME PLANNING AND PRIORITIZATION

• Preparation of a national strategic plan
• Prioritization for additional funding or programme revisions
• National TB programme review
• Annual/quarterly review meetings
• Harmonization of support for the NTP
• Setting research priorities and routine data collection