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Usability and acceptability of ambulatory monitoring in undiagnosed syncope: insights from the ASPIRED-Q qualitative study

Study Overview

This study, part of the ASPIRED trial, looked at how patients and healthcare professionals felt about using a new 14-day ECG monitoring patch for patients in the emergency department who experience unexplained fainting (syncope).

Study Design

The research involved interviews with 20 patients and 10 healthcare professionals from four hospitals in England and Scotland, conducted between February 2023 and January 2024.

Key Findings

Efficacy

Both patients and healthcare professionals believed that the monitoring patch would help reassure patients. Healthcare professionals thought it could improve patient care by reducing delays in getting Holter monitors, but they emphasized the need for a standard protocol for its use.

Burden

Patients found the device easy to use and non-intrusive. However, healthcare professionals pointed out that while attaching the patch was straightforward, it would require time and resources for documentation.

Communication and Education

Patients needed clear verbal and written instructions to use the device effectively. Healthcare professionals suggested that additional training would be beneficial. They also believed that feedback from patient monitoring would help them make better decisions and feel more confident in using the device.

Conclusions

The 14-day ECG monitoring patch was well-received by patients and provided a good option for healthcare professionals to monitor patients with unexplained syncope. However, it is important to have standardized procedures in place to ensure it is used correctly.

Next Steps

Define Measurable Outcomes

Set clear goals for how to assess the usability and acceptability of the monitoring patch for clinics and patients.

Select AI Tools

Choose AI solutions that are specifically designed to meet clinical needs related to monitoring and managing syncope.

Implement Step by Step

Start with a pilot project to test the monitoring patch, track results, and assess its real-world impact using AI solutions.

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