araya-thesis
araya-thesis
araya-thesis
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Chapter 4<br />
Figure 4.4 Amount spent per health worker on voice, data and sms per month. Graph of the average<br />
monthly expenditure of the health workers on mobile top‐up cards broken down by money spent on<br />
voice, data and SMS. Interestingly, the number of SMSs sent by HEWs and midwives was very low. doi:<br />
10.1371/journal.pone.0077563.g004<br />
Table 4.2 Average money spent translated into minutes of voice calls, data downloaded and SMSs sent per<br />
month.<br />
Role Voice calls (min) Data downloaded (Mb) SMSs sent<br />
HEW 157.4 24.4 3.0<br />
Midwife 166.8 31.5 2.6<br />
Supervisor 210.1 85.8 25.1<br />
doi: 10.1371/journal.pone.0077563.t002<br />
Technical ‐ software<br />
Input from the health workers was critical in the development of the protocol forms,<br />
which questions should be asked and clarifying any misunderstanding and<br />
ambiguities in the questions and response options. After producing an initial draft of<br />
the protocols, we made several revisions of each protocol form and its questions, based<br />
on input from the health workers and analysis of how they were using the forms for<br />
practice data entry. These iterations allowed us to identify potential problems before<br />
starting to collect data on real patients.<br />
In using ODK for gathering information over an extended period of time, with different<br />
forms completed at different times, we are essentially forcing ODK to do something it<br />
was not designed for. Although ODK assigns a unique identification number to each<br />
form submitted, there is not a built‐in way to link different form instances, either of<br />
the same or different form types, submitted at different times, which is required for<br />
gathering longitudinal information, hence we used the patient id to match up forms.<br />
Since the patient records were not permanently on the phones, we were depending on<br />
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