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Challenges in blood pressure self-measurement.
Stefan Wagner1, Thomas Skjødeberg Toftegaard, Olav W Bertelsen
1Department of Engineering, Aarhus University, Dalgas Avenue 2, 8000 Aarhus, Denmark.
Blood pressure self-measurement (BPSM) is useful but faces challenges. User errors and biases can affect data quality, necessitating technological solutions for reliable diagnostic use.
Area of Science:
- Biomedical Engineering
- Health Informatics
- Clinical Measurement
Background:
- Blood pressure self-measurement (BPSM) is a valuable tool for patient monitoring.
- Reliability of BPSM for diagnostic purposes depends on strict adherence to recommended protocols.
Purpose of the Study:
- To investigate challenges and user-induced biases in current blood pressure self-measurement (BPSM) interventions.
- To identify factors affecting the reliability of BPSM data in clinical settings.
Main Methods:
- A mixed-methods approach combining BPSM intervention analysis at four medical clinics.
- An online questionnaire distributed to BPSM users to gather insights on adherence and challenges.
Main Results:
- Healthcare personnel view BPSM as relevant if recommendations are followed.
- Six key challenges identified: device limitations, verification issues, patient awareness gaps, reporting bias, data-transfer bias, and incorrect patient data registration.
- User-induced bias significantly impacts BPSM data quality, rendering it indeterminable.
Conclusions:
- Current BPSM interventions are vulnerable to user-induced bias, compromising data integrity.
- Context-aware technological support tools are recommended to detect, quantify, and mitigate user errors in BPSM.
- Future solutions should aim to overcome or compensate for identified user errors to enhance BPSM reliability.
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