Mobile Health-Collected Biophysical Markers in Children with Serious Illness-Related Pain

Toluwalase A Ajayi1,2,3, Leia Salongo4, Yunyue Zang1

  • 1Scripps Research Translational Institute, La Jolla, California, USA.

Insights

Wireless wristbands can collect physiological data from seriously ill children, aiding in pain assessment. This technology offers a non-intrusive method for monitoring pain in pediatric patients with serious illnesses.

Area of Science:

  • Biomedical Engineering
  • Pediatric Medicine
  • Pain Management

Background:

  • Effective pain assessment is crucial for individualized care in pediatric patients with serious illnesses.
  • Existing pain assessment methods may not be sufficient for this population.
  • Wireless wearable technology presents a potential solution for objective pain monitoring.

Purpose of the Study:

  • To evaluate the feasibility of using wrist-wearable technology to collect physiological data from children with serious illnesses.
  • To assess the acceptability of wearable devices among pediatric patients experiencing acute-on-chronic pain.
  • To explore the correlation between physiological data from wearable devices and reported pain levels.

Main Methods:

  • A prospective observational study was conducted at a single site involving pediatric patients with cancer and sickle cell disease.
  • Participants wore an Empatica E4 wristband for two 24-hour continuous monitoring periods.
  • Physiological data (heart rate, skin temperature, electrodermal activity) were collected and compared with manually obtained vital signs and subjective pain reports.

Main Results:

  • Data collected by the wristband correlated with manually obtained vital signs.
  • Children responded favorably to wearing the Empatica E4 device.
  • Increased reported pain was associated with higher average heart rate (+16.4 bpm), decreased skin temperature (-3.5°C), and decreased electrodermal activity (-0.27).

Conclusions:

  • Wearable devices can non-intrusively collect continuous biophysical data from seriously ill children with acute-on-chronic pain.
  • This technology provides a framework for future research into objective pain and suffering metrics in pediatric populations.
  • Wireless wearable technology shows promise for enhancing pain assessment and individualized care in critically ill children.

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