There are several types of data to be managed during planning and implementation. The project team needs to have a plan in place for how to handle the program’s data and reporting needs. The costs of planning and implementing an mHealth solution must be tracked carefully and continuously. This tracking will ensure adequate planning for the program budget, illustrate whether mHealth is a cost-effective solution in a particular situation, and inform decision makers about the potential for scale up.
Project managers must also manage the data generated by users of the mHealth application. This includes ensuring the data is collected in a way that provides insightful information for program staff, donors, and decision makers, while maintaining the privacy and security of users. In many cases, qualitative data collection beyond what the technology platform provides is required to assess the mHealth solution’s usability and user satisfaction over time, as well as the program’s outcomes and impact.
- What is the plan for collecting and tracking cost data?
- What is the plan for collecting and tracking user data? (Also refer to the Data Collection, Monitoring & Evaluation section of the Guide.)
- How will lessons learned be documented and shared with the implementing team and partners?
- How will these lessons be shared with the larger mHealth community?
- What mechanisms can be put in place to collect qualitative data, beyond that provided by the mHealth solution itself? Consider how to follow up with users to collect survey data or arrange interviews or focus groups.