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Respiratory Rate Measurement Using Mobile Applications in Healthcare Settings: A Scoping Review.

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Summary
This summary is machine-generated.

Tap-per-breath smartphone applications offer efficient ways to measure respiratory rate (RR), a key clinical indicator. While usability is high, accuracy varies, with median-based apps showing more consistent results, though further research is needed.

Keywords:
RRmedical devicepatient monitoringreviewvital signs

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Area of Science:

  • Medical Technology
  • Clinical Assessment
  • Digital Health

Background:

  • Respiratory rate (RR) is a critical clinical indicator for patient assessment and care.
  • Clinicians face challenges in obtaining RR efficiently and affordably.
  • Smartphone applications offer a potential solution for accessible RR measurement.

Purpose of the Study:

  • To review the existing evidence on tap-per-breath smartphone applications used in healthcare.
  • To evaluate the usability, efficiency, and accuracy of these digital tools for RR monitoring.

Main Methods:

  • A systematic search of multiple databases was conducted to identify relevant research articles.
  • 14 articles, primarily cross-sectional and hospital-based studies, were selected for the review.
  • The review focused on studies evaluating tap-per-breath apps in clinical settings.

Main Results:

  • Most reviewed applications demonstrated high usability and efficiency.
  • Accuracy results for RR measurement were mixed across studies.
  • Median-based applications were generally more accurate and consistent in RR measurement.
  • Limitations included poorly defined reference standards, small sample sizes, and retrospective data collection.

Conclusions:

  • Tap-per-breath apps show promise for efficient and usable RR assessment in healthcare.
  • Median-based algorithms appear more accurate for RR measurement.
  • Further rigorous research is required to confirm clinical utility and overcome current limitations.