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| Content Provider | ACM Digital Library |
|---|---|
| Author | Farmer, Andrew Springer, David B. Tarassenko, Lionel Levitt, Naomi Bobrow, Kirsten L. |
| Abstract | This paper details the hardware and software infrastructure used to collect data and deliver a novel intervention in an on-going individually randomised three-arm parallel group trial in a resource-limited setting. The SMS-text Adherence support trial (StAR) tests the efficacy of a behavioural intervention delivered by SMS-text to support hypertension treatment adherence compared to usual care. The intervention is a structured program of clinic appointment and medication pick-up reminders, medication adherence support and hypertension-related education delivered remotely using an automated system of semi-tailored informational or interactive SMS-text messages delivered to the 1372 recruited participants. The technical infrastructure includes mobile device-based electronic data collection at the point of care with secure remote upload of the data; the intervention delivery system; real-time query identification for screening, enrolment and participant management procedures; and monitoring and evaluation of trial processes. We are using several open-source software platforms in conjunction with off-the-shelf hardware to set-up and run a randomised clinical trial of a novel intervention in a low-resource setting. |
| Starting Page | 147 |
| Ending Page | 150 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450319072 |
| DOI | 10.1145/2517899.2517931 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-12-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Hypertension Sana Sms-text Mobile health Openmrs Clinical trial Open source Adherence support Android |
| Content Type | Text |
| Resource Type | Article |
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