Fig 1.
Pictorial representation of the data collection steps, analysis and interpretation.
23 National Tuberculosis (TB) Programme managers participated in the cross-sectional survey, which was analyzed using descriptive statistics and manifest content analysis. 22 National TB Strategic Plans were reviewed, and data extracted to complement the survey findings. All data were analyzed in parallel and merged in the interpretation of the findings.
Fig 2.
Policy analysis triangle (adapted from [16]).
This study showed that the content of active case-finding (ACF) policies, including their development, implementation and scale-up, is influenced by context, actors and processes. Example topics: Context–Important factors included the perceptions of the benefits and risks of ACF and the availability of resources. Actors–Key actors comprised the national government, managers in districts and regions and non-governmental organizations (NGOs). Process–Important processes were evidence use and institutionalized processes to facilitate evidence use, e.g. regularly convening working groups.
Table 1.
Example of content analysis.
Fig 3.
Perceived benefits of active case-finding.
Fig 4.
Perceived risks of active case-finding.
Fig 5.
Frequency of use of evidence in active case-finding policy development and implementation.