Table 1. Studies reporting use of text messaging for malaria control in Africa.
Country | Area of Malaria Control | No of HFs | Text Messaging Content | Dominant Text Message Flow | Reporting Frequency | Feasibility Shown | Potential Response | Reference |
Zambia | Disease surveillance (foci detection) | 13 | Name of HF; Name of sender; No RDT tested; No RDT positive | Upstream | Weekly | Yes | Active screening; outbreak response | [20] |
Madagascar | Disease surveillance (outbreak detection) | 13 | No of patient visits; No of patients meeting case-definition | Upstream | Daily | Yes | Outbreak response | [21] |
Tanzania | Commodity monitoring | 129 | AL stock for each of 4 packs; stock quinine vials | Upstream | Weekly | Yes | Drug redistribution; Emergency orders | [22] |
Uganda | Disease surveillance and commodity monitoring | 147 | 26 malaria testing, treatment and ACT and RDT stock parameters | Upstream | Weekly | Yes | Drug redistribution; Emergency orders; Case-management corrections | [23] |
Tanzania | Post-marketing surveillance | 25 | Patient demographic, date, type of event | Upstream | When occurred | Yes | Investigation of adverse drug reactions | [24] |
Kenya | Health worker adherence | 52 | 10 different case-management messages per week over 26 weeks | Downstream | Twice daily | Yes | Not applicable | [45] |
ACT, artemisinin-based combination therapy; HF, health facility; RDT, rapid diagnostic test.