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Published on: February 23, 2024
Does using mobile applications and social media-based interventions induce beneficial behavioral changes among
Rahma ElNaghy1, Riyad Al-Qawasmi2, Majd Hasanin2
1Department of Graduate Orthodontics, University of Detroit Mercy, Detroit, MI, USA. elnaghra@udmercy.edu.
Design:
Systematic review and meta-analysis of randomized controlled trials (RCTs) and controlled clinical trials (CCTs). The protocol of the study was registered on the International Prospective Register of Systematic Reviews (PROSPERO: CRD42019157298).
Data Sources:
Seven electronic databases (MEDLINE, Web of Science Core Collection, Unpublished Clinical Trials accessed through clinicaltrials.gov, Embase, LILACS, ProQuest Database, The Cochrane Library) were searched. Additionally, the reference lists of the included studies were hand searched.
Study Selection:
Clinical trials (RCT and CCT) that assessed the impact of the interventional use of mobile applications and social media among orthodontic patients were included. The review question was defined in PICO format as follows: population (P) = patients (no age restriction) undergoing orthodontic treatment using fixed, removable, or functional appliances, or patients in the retention phase that are wearing fixed or removable retainers; intervention (I) = mobile applications and social media-based interventions; comparison (C) = control group that did not receive any adjunctive intervention; outcome (O) = behavior changes in orthodontic patients after receipt of the intervention. Two authors independently conducted literature search from inception up to March 2021.
Data Analysis:
Social media-based interventions and mobile applications (or bespoke) were used in the form of reminders (WhatsApp reminders) and provision of information including YouTube videos and Instagram posts. Primary outcomes included adherence to wearing appliances or adjuncts, oral hygiene levels, oral health-related behaviors, periodontal outcomes, appointment attendance, knowledge, and related iatrogenic effects. Treatment-related experiences and patient-reported outcomes were assessed as secondary outcomes.
Results:
16 studies (14 RCTs and 2 CCTs) were included in the qualitative synthesis, of which only 7 studies were included in the quantitative synthesis (meta-analysis). Results from meta-analyses showed that the intervention was favored in relation to gingival index (GI) (number of studies = 4, standardized mean difference [SMD] = -0.81, 95% confidence interval [CI] = -1.35 to -0.28, P = 0.00, certainty of evidence = very low), plaque index (PI) (number of studies = 7, SMD = -0.91 [95% CI, -1.64 to -0.19], P = 0.01, certainty of evidence = very low), and bleeding index (BI) (number of studies = 4, SMD = -0.22 [95% CI, -0.50 to 0.05], P = 0.11, certainty of evidence = high). Sensitivity analysis was performed (including additional 3 studies for GI and 5 studies for PI), which also favored the intervention in relation to GI (number of studies = 7, SMD = -0.60 [95% CI, -1.01 to -0.18], P = 0.00, certainty of evidence = very low), and PI (number of studies = 12, SMD = -0.67 [95% CI, -1.14 to -0.19], P = 0.01, certainty of evidence = very low).
Conclusions:
Limited evidence supports beneficial behavior change among orthodontic patients when using mobile applications or social media-based interventions.
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