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Tailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review

Tailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review

The information reported in each article was used to assess the methodological quality of each study using the Cochrane methodology for risk of systematic bias (ROB) [45].

Heidi Holmen, Astrid Klopstad Wahl, Milada Cvancarova Småstuen, Lis Ribu

J Med Internet Res 2017;19(6):e227


Impact of Internet-Based Interventions on Caregiver Mental Health: Systematic Review and Meta-Analysis

Impact of Internet-Based Interventions on Caregiver Mental Health: Systematic Review and Meta-Analysis

Overall, the Cochrane Risk of Bias (Ro B) showed mixed quality of study methodology: 2 studies with low Ro B [35,37], 3 studies with high Ro B [36,40,47], and 8 studies with unclear Ro B [34,38,41-46].

Diana Sherifali, Muhammad Usman Ali, Jenny Ploeg, Maureen Markle-Reid, Ruta Valaitis, Amy Bartholomew, Donna Fitzpatrick-Lewis, Carrie McAiney

J Med Internet Res 2018;20(7):e10668


The Inclusion of Ethnic Minority Patients and the Role of Language in Telehealth Trials for Type 2 Diabetes: A Systematic Review

The Inclusion of Ethnic Minority Patients and the Role of Language in Telehealth Trials for Type 2 Diabetes: A Systematic Review

The Cochrane Collaboration’s risk of bias (ROB) tool [49] was adapted to assess all 79 included articles using Cochrane’s Review Manager software (Rev Man, The Cochrane Collaboration, Copenhagen, Denmark).

Talia Isaacs, Daniel Hunt, Danielle Ward, Leila Rooshenas, Louisa Edwards

J Med Internet Res 2016;18(9):e256


Web-Based Interventions for Dietary Behavior in Adults With Type 2 Diabetes: Systematic Review of Randomized Controlled Trials

Web-Based Interventions for Dietary Behavior in Adults With Type 2 Diabetes: Systematic Review of Randomized Controlled Trials

The risk of bias was assessed by two researchers independently using the Cochrane risk-of-bias tool for randomized trials (Ro B 2) [27]. Ro B 2 provides an in-depth framework structured into five domains to assess the risk of bias in RCTs.

Jedha Dening, Sheikh Mohammed Shariful Islam, Elena George, Ralph Maddison

J Med Internet Res 2020;22(8):e16437