# Health Care Professionals’ Perspectives on Technology Use in Urinary Care: Cross-Sectional Survey-Based Study

## TL;DR

This study explores how healthcare professionals view the use of wearable and remote technologies for managing urinary issues, identifying factors that influence their acceptance.

## Contribution

The study applies theoretical models to assess healthcare professionals' readiness to adopt urinary care technologies and identifies key influencing factors.

## Key findings

- Perceived burden, device attributes, and technology integration are positively associated with technology acceptance.
- Health literacy and support services strongly correlate with belief agreement in technology adoption.
- Survey showed high reliability (Cronbach α=.85) in measuring perceptions of technology adoption.

## Abstract

Urinary issues pose a significant burden on health care systems, necessitating innovative solutions to enhance patient care and alleviate the provider burden.

The objective of this study was to explore health care professionals’ perceptions of urinary issues and assess their acceptance and readiness to adopt wearable and remote technologies for managing these conditions. The study aimed to identify the attributes and barriers influencing technology integration in clinical practice, using established theoretical frameworks, such as the Health Belief Model (HBM) and the Technology Acceptance Model (TAM).

A cross-sectional survey-based study was conducted. A structured survey questionnaire was administered online to a sample of 256 health care professionals recruited through social media and personal networks. The survey included both closed- and open-ended questions to gather data. Quantitative data were analyzed using descriptive statistics, Pearson correlation, and multiple regression.

Quantitative analysis revealed strong correlations between belief agreement and factors such as health literacy (r=0.591, P<.001), the perceived burden (r=0.628, P<.001), device attributes (r=0.650, P<.001), and support services (r=0.622, P<.001). Multiple regression analysis identified that the perceived burden (β=.284, P=.01), device attributes (β=.371, P<.001), and integrating technology (β=.312, P<.001) are positively associated. The survey demonstrated strong internal consistency, with Cronbach α=.85, indicating high reliability in measuring health care professionals’ perceptions of technology adoption.

Health care professionals’ acceptance of technology in managing urinary issues is influenced by factors such as the perceived burden, device attributes, and the ease of integrating technology into existing workflows. Addressing barriers to technology adoption, providing comprehensive training and support, and prioritizing user-centered design are crucial for successful technology integration. Future research should focus on longitudinal studies and explore the perspectives of patients and other stakeholders to gain a more holistic understanding of technology integration in urological care.