There is a lot of interest in (and need for) mobile data collection solutions in health.
The basic rule of "If you don't measure it, you can't manage it" applies.
There are lots of different options for mobile data collection and the choice for a given application will depend of lots of different factors unique to that project.
Some of these factors include:
- skills of project staff
- phone cost and availability
- single use or ongoing
- budget
- data location
- data analysis tools
There are lots of software choices for mobile data collection and they each have unique features and requirements. In order to help sort out the options, I have adapted a spreadsheet which was originally put together by the World Bank with information on some of the options. I plan to keep this updated with new information as it becomes available.
I've posted the spreadsheet as a Google Doc and enabled comments so if you have questions, additions or corrections, please leave a comment and I'll update the sheet.
The basic rule of "If you don't measure it, you can't manage it" applies.
There are lots of different options for mobile data collection and the choice for a given application will depend of lots of different factors unique to that project.
Some of these factors include:
- skills of project staff
- phone cost and availability
- single use or ongoing
- budget
- data location
- data analysis tools
There are lots of software choices for mobile data collection and they each have unique features and requirements. In order to help sort out the options, I have adapted a spreadsheet which was originally put together by the World Bank with information on some of the options. I plan to keep this updated with new information as it becomes available.
I've posted the spreadsheet as a Google Doc and enabled comments so if you have questions, additions or corrections, please leave a comment and I'll update the sheet.
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