Table 2.
Text message characteristic | Features | Features adapted in TEXT ME and TEXTMEDS studies |
Message customization | The message content can be generic or individualized | Both studies sent messages with content that was partly generic and partly customized to participant’s needs eg, smoking status, diet (vegetarian or nonvegetarian) and types of medications. |
|
Ability to update custom settings. (particularly relevant for a long-duration study). |
TEXT ME: Customization was only at baseline. TEXTMEDS: Allowed flexibility to changes in participant’s status such as behaviors or medication eg, if a participant successfully quit smoking and requested to stop smoking-related messages, this could be honored anytime during the 12-month study. |
|
Simple versus complex customization | TEXT ME: Relatively simple algorithms using minimal baseline data. TEXTMEDS: More complex customization using baseline data, and the ability to modify during the course of the program. |
Personalization | This may enhance participant’s engagement with the program | Both studies implemented this function. |
Delivery timing | Needs to consider intrusiveness of messages delivered during working hours, out off hours, weekends, and public holidays | Both studies sent messages on working days during working hours. Occasional season’s greetings message on holidays. |
|
Random times may prevent habituation. | Both studies implemented random delivery times on random weekdays. |
|
Specific times—delivery timed with a specific behavior eg, medication intake | We did not implement this aspect, as network latency times cannot be measured with confidence. |
Frequency | Number of messages per day or per week | Both studies sent 1 message per day, average 4 messages per week. |
|
Fixed versus variable frequency | TEXT ME: A consistent schedule of 4 messages per week on random weekdays. TEXTMEDS: The frequency of messages varied from 2-4 per week on random weekdays. |
Order of message content | Structured delivery may increase participant interest in program eg, patients hospitalized for myocardial infarction—early messages can focus on recovery and tips like use of prn nitrates; later messages can focus on healthy lifestyle, medium, and long-term goals | TEXT ME: Messages were written to stand on their own and not rely on previous messages. Hence, could be delivered in a random order. TEXTMEDS: Messages were delivered in order, enabling the ability to deliver a structured story. Messages delivered may reference a previous message. Participants received messages according to protocol-driven timing ie, on a given day each participant received a unique message, which may be different from other participants, but was appropriate to their duration on the study. |
Unique messaging and repetition | Nonrepetitive messages, repetition of key messages or repetition of key message after rewording | TEXT ME had nonrepetitive messages TEXTMEDS had some repetitive key messages. |
Two-way interaction | May increase patient engagement |
TEXT ME was a one-way study. TEXTMEDS was two-way study. Participant replies were methodically logged and actioned by the health counselor. |
Character set | Non-Latin (Unicode) characters are better avoided; alternatively, they must be tested for correct transmission by network operator and decoding by the recipient’s mobile phone | Both the studies had the capacity to support Unicode but did not implement this. |
Readability | Avoidance of medical jargon and abbreviations | Both studies considered 5th-8th–grade reading level [15]. Text messages were pilot tested among prospective patients who were specifically asked about readability. |
Message length | Preferred length ≤160 characters (including spaces) | In both studies the messages had a character count that ranged from 120-160. Longer messages are often delivered fractionated; consequentially may result in increased message send cost and unintelligible formatting by recipient’s handset. |
Sender signature | Helps source recognition and distinguish the messages from spam. May be mandatory, refer to country-specific legislation | In both studies, participants were encouraged to save the study mobile number in the “contacts directory” of their mobile handsets. A full signature was included in the first message. Subsequent messages used abbreviated signature due to 160 character limit per text messages. |
Unsubscription | Clear instructions for unsubscription; keyword - “STOP” or “OPT OUT” or “Unsubscribe” |
Both studies included unsubscribe information with the first message. It was not possible to send unsubscribe information to participants with each message due length exceeding 160 characters. Legal advice recommended a way to consent participants so that this was not required. |