The advent of Wearable Technology Devices (WTDs) has been a game-changer in healthcare, particularly among older adults. However, adoption has been slow, and researchers have conducted various studies to understand why.

WTDs are compact electronic devices with multiple sensors and processing power that offer relevant data to customers and their healthcare providers. They can record, store, and analyze health data, including blood glucose and heart rate, in conjunction with smartphone applications. Built-in GPSs can also capture motion and provide position/location information.

WTDs benefit older adults by improving access to health care and providing effective and efficient treatment. They can also help manage long-term diseases and preserve or enhance their independence, social involvement, and home functionality. 

To determine the elements that support technology adoption and the obstacles that stand in their way, the paper’s researchers first reviewed existing research related to this line of inquiry. According to the authors, persuading people that they need wearable technology is the most significant barrier to their acceptance. Further, the authors determined that research on the barriers and enablers to sustained adoption is scarce. 

Methodology

To further understand the adoption process, the authors developed a new methodology to assess factors affecting adoption. The study-specific wearable technology usage constructs include: 

  • Privacy issue
  • Observance
  • Sensor robustness
  • Benefit/Cost Analysis Ratio
  • Distractions from assignments and obtrusiveness
  • Good production practices
  • Validity, efficiency, and accuracy of the sensor
  • Risk to employees' health and safety
  • Inherently safe electronics

A questionnaire using a 7-point Likert scale was designed to test the dimensions authors thought would affect adoption. An initial pilot questionnaire deployed to 50 people was used to verify that the components of the selected constructs had sufficient reliability. 

Once the questionnaire was finalized, participants received a document with definitions, product samples, and information on personal health monitoring before filling out the questionnaire. The text also emphasized using WTDs for health outcomes rather than fitness-related results. An electronic Qualtrics panel was used to survey current and prospective WTD customers and gather data. Every participant had a smartphone, lived in the Delhi, India, region, and was compensated for participating. Following a straight-line analysis and sample assessment, 277 valid replies were found.

Table I: Factor analysis

 

Table II: Factor extraction component matrix

 

Findings

  • Make real-time data real: Numerous enhancements to WTDs will enable consumers and healthcare practitioners to study personalized data in real-time. Ultimately, this might boost user engagement and raise customer satisfaction levels with the gadget. 
  • Provide proof of concept. To engage customers in utilizing this technology, marketers are also recommended to make reasonable claims about it. This will help to set realistic expectations with customers and prevent them from leaving in the future. 
  • Connect the dots. Since habit substantially impacts the user's decision to use WTDs, operators should bolster the product's habitual use by actively fostering a relationship with customers. Companies might, for instance, highlight the customized benefits and advertise features that could help manage personal health.
  • Make it social. Hedonic motivation, personalization, and social influence were essential variables in behavioral intent to use WTDs. Authors recommended that providers create social platforms that let users virtually connect with other users who share their interests, preferences, or health concerns to keep them interested. This would improve WTD involvement and enjoyment.

Conclusion 

The study thoroughly examined the variables influencing consumers' likelihood to use WTDs by considering health consciousness, antecedents, personalization, and privacy concerns – factors that have not been explored before. The findings show that the suggested model can explain how consumers intend to use WTDs, and, looking ahead, the study offers a theoretical framework for further behaviorally based research on new health information technology.

Because the study was very small and the participants were all from the Delhi, India, area, it is limited in its ability to generalize findings to a broader population. Future research can expand the participant pool to include broader, more representative groups. Other lines of inquiry can investigate the adoption of WTDs related to a specific health concern, such as diabetes or cardiac monitoring.

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