Table 1.
Use and user experience question content (adapted from [18]).
Item | Question content | Impact on nonusage and dropout attrition rate |
1 | Quality and relevance of information given before the trial | If low, risk of unrealistic expectations which results in a disengagement |
2 | Ease of the inclusion process (consent, implementation) | Quality of recruitment affects attrition. if it is too easy to enroll then the dropout rate may be high |
3 | Ease of drop out/stop using it | This parameter can negatively influence the use of the app |
4 | Ease of use and reliability of the technical interface | Poor usability (complexity of the interaction between an object and its user) contributes to a high rate of attrition |
5 | “Incentive” or “push” factors (callbacks, reminders, research assistants chasing participants) | This parameter can positively influence the use of the app (staying more in the trial) |
6 | Personal contact (during registration and inclusion) via face-to-face or by phone, rather than virtual contacts | Human contact promotes the use of the app |
7 | General quality of the feedback information and of the information summary screen | Positive feedback and encouragement positively influence the use of the app |
8 | Perceived benefits of interest in completing the study | Motivational factor that decreases attrition |
9 | Free to use | Paying more commits the user and decreases attrition |
10 | Time and workload required by the apps | If the burden is too high, it may result in higher attrition |
11 | Existence of concurrent interventions (web, therapy) | Risk that the user no longer perceives the specific interest of the app |
12 | Major life events, or of society, which could have stopped using the app | Lead to distraction and nonuse by shifting priorities |
13 | Experience of the other user (or being able to obtain help) | Indirectly through to dropout and nonusage |