Abstract

Patient compliance is relevant to achieving therapeutic goals during clear aligner therapy (CAT). The aim of this study was to evaluate the efficacy of remote electronic (e-)reminders and e-feedback on compliance during CAT using an interrupted time series (ITS) analysis. We used routinely collected mobile application data from a German healthtech company (PlusDental, Berlin). Our primary outcome was self-reported compliance (aligner wear time min. 22 h on 75% of their aligners were classified as fully compliant, min. 22 h on 50–74.9% of their aligners: fairly compliant; min. 22 h on < 50% of their aligners: poorly compliant). E-reminders and e-feedback were introduced in the 1st quarter of 2020. Compliance was assessed at semi-monthly intervals from June-December 2019 (n = 1899) and June-December 2020 (n = 5486), resulting in a pre- and post-intervention group. ITS and segmented regression modelling were used to estimate the effect on the change in levels and trends of poor compliance. Pre-intervention, poor compliance was at 24.47% (95% CI: 22.59% to 26.46%). After the introduction of e-reminders and e-feedback (i.e., post-intervention), the percentage of poorly compliant patients decreased substantially, levelling off at 9.32% (95% CI: 8.31% to 10.45%). E-reminders and e-feedback were effective for increasing compliance in CAT patients.

Clinical Significance: Orthodontists and dentists may consider digital monitoring and e-reminders to improve compliance and increase treatment success.

Details

Title
Effect of electronic reminders on patients’ compliance during clear aligner treatment: an interrupted time series study
Author
Timm, Lan Huong 1 ; Farrag, Gasser 2 ; Wolf, Daniel 2 ; Baxmann, Martin 3 ; Schwendicke, Falk 4 

 Sunshine Smile GmbH, Berlin, Germany; DrSmile - DZK Deutsche Zahnklinik GmbH, Düsseldorf, Germany 
 Sunshine Smile GmbH, Berlin, Germany 
 Orthodentix, Kempen, Germany 
 Charité – Universitätsmedizin Berlin, Department of Oral Diagnostics, Digital Health and Health Services Research, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2721477340
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.