University of Twente Student Theses
Understanding the individual implementation process of eHealth technologies
Calandra, David (2024) Understanding the individual implementation process of eHealth technologies.
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| Abstract: | Background: Smart wearable devices, particularly smartwatches, have gained popularity in personal health management. These devices provide real-time data on various health metrics, aiding users in maintaining a healthy lifestyle. Despite their potential to enhance health outcomes through self-monitoring, the long-term use of smartwatches for health behaviour management is not well understood. This study aims to investigate the factors influencing the sustained use of smartwatches for health behaviour management, identifying both facilitators and barriers to their long-term adoption. Method This study employed a semi-structured interview approach to collect detailed information from participants. Individuals who had been using smartwatches for at least three months and were over 18 years old were recruited through convenience sampling. Ten participants (all male, aged 22 to 68) took part in the study. Interviews were conducted online via Microsoft Teams, recorded, and transcribed verbatim. Data were analysed using deductive thematic analysis, guided by the Theoretical Domains Framework (TDF), to identify themes related to facilitators and barriers to sustaining smartwatch use. Results: Analysis revealed several key factors influencing long-term smartwatch use for HBM. Facilitators included personalized health feedback, goal-setting features, and the convenience of real-time health monitoring. Barriers identified were discomfort in wearing the device, data accuracy concerns, and the novelty effect wearing off over time. The importance of evolving goals to maintain motivation was particularly noted, as static goals often led to diminished engagement. Conclusion: The findings highlight the critical role of dynamic goal-setting and personalized feedback in promoting the sustained use of smartwatches for health monitoring. Addressing barriers such as device comfort and data accuracy can further enhance user experience and long-term adherence. These insights can inform the design and implementation of future eHealth technologies, ultimately supporting better health outcomes through continuous self-monitoring and behaviour modification. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 77 psychology |
| Programme: | Psychology BSc (56604) |
| Link to this item: | https://purl.utwente.nl/essays/102731 |
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