PURPOSE: This study seeks to establish the utility of the SmartButton Data Logger (www.acrsystems.com) to monitor spectacle wear for research and clinical applications. METHODS: Fifty adults wore a thermosensor on their spectacles for 2 weeks for each of two mount types while keeping wear-time logs. Temperatures during reported spectacle wear (ON) were compared to temperatures during non-wear (OFF) with repeated measures analysis of variance (ANOVA). In addition, two strategies to approximate spectacle wear from temperature data were evaluated: (1) Filtering data based on temperature ranges to identify spectacle wear (either group mean ON temperature, or an individual's mean ON temperature), and (2) Separate examiners inspecting temperature against time plots to identify spectacle wear. The success of these methods to approximate wear time was evaluated by per cent error with respect to subject reported wear time. RESULTS: Group mean ON (31.8 [0.6]°Celsius [°C]) and OFF (24.7 [1.5]°C) temperatures differed significantly (F1,47 = 471.2, p < 0.001), but there was no difference in temperature between mounts (F1,47 = 1.9, p = 0.18). Median per cent error and first and third quartiles (Q1, Q3) of each technique used to approximate wear time were: group mean filtering = 8% (Q1 3%, Q3 18%), individual mean filtering = 7% (Q1 4%, Q3 19%), Examiner 1 = 6% (Q1 2%, Q3 14%), Examiner 2 = 7% (Q1 3%, Q3 12%). CONCLUSIONS: The SmartButton can monitor spectacle compliance in patients with all approximation methods evaluated providing less than 10% median per cent error in wear time.
PURPOSE: This study seeks to establish the utility of the SmartButton Data Logger (www.acrsystems.com) to monitor spectacle wear for research and clinical applications. METHODS: Fifty adults wore a thermosensor on their spectacles for 2 weeks for each of two mount types while keeping wear-time logs. Temperatures during reported spectacle wear (ON) were compared to temperatures during non-wear (OFF) with repeated measures analysis of variance (ANOVA). In addition, two strategies to approximate spectacle wear from temperature data were evaluated: (1) Filtering data based on temperature ranges to identify spectacle wear (either group mean ON temperature, or an individual's mean ON temperature), and (2) Separate examiners inspecting temperature against time plots to identify spectacle wear. The success of these methods to approximate wear time was evaluated by per cent error with respect to subject reported wear time. RESULTS: Group mean ON (31.8 [0.6]°Celsius [°C]) and OFF (24.7 [1.5]°C) temperatures differed significantly (F1,47 = 471.2, p < 0.001), but there was no difference in temperature between mounts (F1,47 = 1.9, p = 0.18). Median per cent error and first and third quartiles (Q1, Q3) of each technique used to approximate wear time were: group mean filtering = 8% (Q1 3%, Q3 18%), individual mean filtering = 7% (Q1 4%, Q3 19%), Examiner 1 = 6% (Q1 2%, Q3 14%), Examiner 2 = 7% (Q1 3%, Q3 12%). CONCLUSIONS: The SmartButton can monitor spectacle compliance in patients with all approximation methods evaluated providing less than 10% median per cent error in wear time.
Authors: Jerry E Vincent; Satja Netek; Amy Parry; Derek Mladenovich; Nyunt Naing Thein; Paul R Amendola Journal: Optom Vis Sci Date: 2010-12 Impact factor: 1.973
Authors: Susan A Cotter; Nicole C Foster; Jonathan M Holmes; B Michele Melia; David K Wallace; Michael X Repka; Susanna M Tamkins; Raymond T Kraker; Roy W Beck; Darren L Hoover; Eric R Crouch; Aaron M Miller; Christie L Morse; Donny W Suh Journal: Ophthalmology Date: 2011-09-29 Impact factor: 12.079
Authors: Maria Fronius; Yaroslava Chopovska; Julia Nolden; Sjoukje E Loudon; Marc Lüchtenberg; Alina Zubcov; Larisa Pepler Journal: Strabismus Date: 2006-06
Authors: Kai Januschowski; Till E Bechtold; Timm C Schott; Maren S Huelber-Januschowski; Gunnar Blumenstock; Karl-Ulrich Bartz-Schmidt; Dorothea Besch; Charlotte Schramm Journal: Acta Ophthalmol Date: 2013-06-13 Impact factor: 3.761
Authors: Heather A Anderson; Julia S Benoit; Jason D Marsack; Ruth E Manny; Ayeswarya Ravikumar; Karen D Fern; Kelsey R Trast Journal: Optom Vis Sci Date: 2021-01-01 Impact factor: 2.106