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System Architecture for "Support Through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies

System Architecture for "Support Through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies

More detailed information on the messages used in the pilot and feasibility studies can be found in the studies by Farmer et al [24] and Bartlett et al [39]. The algorithm below describes the methodology for sending these SMS messages: Suppose there are t different groups of BCTs as: {B1, B2, ..., Bt}, with the i-th (1≤i≤t) BCT group having ni different SMS texts, that is, . This results in n unique BCT SMS texts, where . There are also m different general lifestyle SMS texts .

Yuan Chi, Carmelo Velardo, Julie Allen, Stephanie Robinson, Evgenia Riga, David Judge, Lionel Tarassenko, Andrew J Farmer

JMIR Form Res 2021;5(3):e18460

Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis

Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis

Two authors (W Ming and J Hirst) independently examined the full-text articles of eligible papers and extracted information about the exposures and outcomes using a predefined data extraction table. The primary outcome was maternal glycemic control.

Wai-Kit Ming, Lucy H Mackillop, Andrew J Farmer, Lise Loerup, Katy Bartlett, Jonathan C Levy, Lionel Tarassenko, Carmelo Velardo, Yvonne Kenworthy, Jane E Hirst

J Med Internet Res 2016;18(11):e290