App for Strengthening Services In Specialized Therapeutic Support

Consistency was the percentage of intervals in which aides entered data per session with children during each school day, across a three week period. These metrics were captured via web analytics in partnership with our digital health company.

Consistency was the percentage of intervals in which aides entered data per session with children during each school day, across a three week period. These metrics were captured via web analytics in partnership with our digital health company.

Consistency was the percentage of intervals in which aides entered data per session with children during each school day, across a three week period. These metrics were captured via web analytics in partnership with our digital health company.

We adapted scales to measure mechanisms affecting data collection, including intentions, using social psychology methods (Armitage & Connor, 2001). The intentions measure had one item, which was rated from 1=strongly disagree to 7=strongly agree. Strongly agree meant stronger intentions to take data. Aides completed measures at baseline and post-trial (3 weeks). Data reported are changes over time.

We used the System Usability Scale (SUS; Brooke, 1996) to measure aides' reactions to various statements regarding the app's usability with 10 items that use a 5-point scale from (1) strongly disagree to (5) strongly agree. The SUS has high internal consistent reliability (Cronbach's alpha = .91) and demonstrated sensitivity to change (Lewis, 2018). We adapted the original questionnaire to replace "system" with "app" across all items. The SUS is calculated as a proportion score out of 100, with higher scores indicating higher usability (≥85 = Excellent; ≥71 = Good; ≥51 = Okay (Bangor et al.).

We adapted scales to measure mechanisms affecting data collection, including attitudes, using social psychology methods (Armitage & Connor, 2001). The attitudes measure had one item, which was rated from 1=good to 7=bad (meaning that taking data would be bad). Attitudes had 2 items. These items were averaged to create the scale score which could range from 1 to 7 for each measure. Aides completed measures at baseline and post-trial (3 weeks). Data reported are changes over time.

We adapted scales to measure mechanisms affecting data collection, including perceived norms, using social psychology methods (Armitage & Connor, 2001). The perceived norms measure had one item, which was rated from 1=strongly disagree to 7=strongly agree. Strongly agree meant stronger influence of norms on taking data. Aides completed measures at baseline and post-trial (3 weeks). Data reported are changes over time.

We adapted scales to measure mechanisms affecting data collection, including descriptive norms, using social psychology methods (Armitage & Connor, 2001). The perceived norms measure had one item, which was rated from 1=strongly disagree to 7=strongly agree. Strongly agree meant stronger influence of norms on taking data. Aides completed measures at baseline and post-trial (3 weeks). Data reported are changes over time.

We adapted scales to measure mechanisms affecting data collection, including self-efficacy, using social psychology methods (Armitage & Connor, 2001). The self-efficacy measure had one item, which was rated from 1=strongly disagree to 7=strongly agree. Strongly agree meant stronger self-efficacy about taking data. Self-Efficacy had 2 items. These items were averaged to create the scale score which could range from 1 to 7 for each measure. Aides completed measures at baseline and post-trial (3 weeks). Data reported are changes over time.