'Parentbot - A Digital healthcare Assistant (PDA)': A mobile application-based perinatal intervention for parents:

Joelle Yan Xin Chua1, Mahesh Choolani2, Cornelia Yin Ing Chee3

  • 1Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Insights

Parentbot, a mobile app with chatbot features, was developed as a digital healthcare assistant for Singaporean parents. User testing showed a positive experience, informing further enhancements for this digital parenting support tool.

Area of Science:

  • Digital health interventions
  • Mobile health (mHealth)
  • Parenting support

Background:

  • Parenting support programs are crucial during the perinatal period.
  • Mobile applications offer a scalable platform for delivering health interventions.
  • Digital healthcare assistants can provide accessible, on-demand support.

Purpose of the Study:

  • To describe the development of Parentbot, a mobile application-based parenting support program.
  • To integrate chatbot features for enhanced user interaction.
  • To cater to multi-racial Singaporean parents during the perinatal period.

Main Methods:

  • Development guided by information systems research framework and design thinking.
  • Tuckman's model of team development informed the process.
  • User acceptability testing (UAT) involved 11 adults, using custom evaluation forms and the User Experience Questionnaire.

Main Results:

  • The development framework facilitated the creation of a user-centered PDA prototype.
  • UAT indicated a positive overall user experience with the digital healthcare assistant.
  • Participant feedback was incorporated to refine and improve the PDA.

Conclusions:

  • The development process of this mobile parenting intervention offers valuable insights for future studies.
  • While effectiveness is under evaluation, the development methodology is highlighted.
  • Key factors like planning, funding, team cohesion, and leadership are crucial for intervention development.
Abstract