Table 1

Constructs and items used in the web-based questionnaire

ConstructItemsCronbach’s alphaSource adapted from
Performance expectancy (PE)PE1: I find mobile diabetes applications useful in my daily life.
PE2: Using mobile diabetes applications increases my chances of achieving things that are important to me.
PE3: Using mobile diabetes applications helps me accomplish things more quickly.
PE4: Using mobile diabetes applications increases my productivity.
0.951*Venkatesh et al.18, Harborth and Pape23
Effort expectancy (EE)EE1: Learning how to use mobile diabetes applications is easy for me.
EE2: My interaction with mobile diabetes applications is clear and understandable.
EE3: I find mobile diabetes applications easy to use.
EE4: It is easy for me to become skillful at using mobile diabetes applications.
0.922*Venkatesh et al.18, Harborth and Pape23
Social influence (SI)SI1: People who are important to me think that I should use mobile diabetes applications.
SI2: People who influence my behavior think that I should use mobile diabetes applications.
SI3: People whose opinions that I value prefer that I use mobile diabetes applications.
0.948*Venkatesh et al.18, Harborth and Pape23
Facilitating conditions (FC)FC1: I have the resources necessary to use mobile diabetes applications.
FC2: I have the knowledge necessary to use mobile diabetes applications.
FC3: Mobile diabetes applications are compatible with other technologies I use.
FC4: I can get help from others when I have difficulties using mobile diabetes applications.
0.733*Venkatesh et al.18, Harborth and Pape23
Hedonic motivation (HM)HM1: Using mobile diabetes applications is fun.
HM2: Using mobile diabetes applications is enjoyable.
HM3: Using mobile diabetes applications is very entertaining.
0.937*Venkatesh et al.18, Harborth and Pape23
Price value (PV)PV1: Mobile diabetes applications are reasonably priced.
PV2: Mobile diabetes applications are a good value for the money.
PV3: At the current price, mobile diabetes applications provide a good value.
0.867*Venkatesh et al.18, Harborth and Pape23
Habit (HT)HT1: The use of mobile diabetes applications has become a habit for me.
HT2: I am addicted to using mobile diabetes applications.
HT3: I must use mobile diabetes applications.
0.879*Venkatesh et al.18, Harborth and Pape23
Behavioral intention (BI)BI1: I intend to continue using mobile diabetes applications in the future.
BI2: I will always try to use mobile diabetes applications in my daily life.
BI3: I plan to continue to use mobile diabetes applications frequently.
0.898*Venkatesh et al.18, Harborth and Pape23
Use behavior (UB)Please choose your usage frequency for mobile diabetes applications:
Never
Once a month
Several times a month
Once a week
Several times a week
Once a day
Several times a day
Once an hour
Several times an hour
All the time
1.000*Venkatesh et al.18, Harborth and Pape23
Perceived disease threat (PDT)†PDT1: I am aware that my blood sugar control is not optimal.
PDT2: I am very concerned about my blood sugar.
PDT3: I am very concerned about diabetes-associated complications.
0.743‡Zhang et al.24
Trust (TR)†TR1: I trust my mobile diabetes application.
TR2: I find mobile diabetes applications reliable in conducting health services.
TR3: I feel that mobile diabetes applications are safe for receiving reliable medical information.
TR4: I trust mobile diabetes applications’ commitment to satisfy my medical information needs.
0.869§Lee et al.25
  • *Cronbach’s alpha retrieved from Harborth and Pape.23

  • †New constructs added to UTAUT2 for this study.

  • ‡Cronbach’s alpha retrieved from Zhang et al.24

  • §Cronbach’s alpha retrieved from Lee et al.25

  • UTAUT2, Unified Theory of Acceptance and Use of Technology 2.