My previous example of mobile app for MDR-TB contact screening and tracking is a good example of a successful system. The app has the potential to significantly improve MDR-TB contact screening and tracking in resource-limited settings. The program found significant improvement in contact trancing activity completion rates and referral rates, and also the reduction in reporting error.
Here are some of the factors that contributed to the success of the app:
* **Data:** The app uses an algorithm to identify suspects or determine if they require other tests, such as a CXR or sputum testing. This algorithm is based on global and local criteria for identifying suspects, and it is frequently updated. This ensures that the app is using the most up-to-date information to identify suspects, which leads to better outcomes.
* **Cost:** The app is relatively inexpensive to develop and implement. This makes it a feasible solution for resource-limited settings.
* **Operation:** The app is easy to use for both volunteers and patients. Volunteers can go to an MDR-TB patient’s home to record the household contacts and their neighbors/close contacts. After entering an individual’s sociodemographic information, TB clinical symptoms, and risk factors, the app uses an algorithm to identify suspects or determine if they require other tests, such as a CXR or sputum testing.
* **Design:** The app is designed to be used by volunteers with low levels of education and experience with mobile apps. The app is also designed to be used in resource-limited settings, where there may be limited access to internet and electricity.
* **People:** The program trained volunteers on how to use the app. This training was essential for the success of the app, as it ensured that volunteers were able to use the app effectively.