Using heart rate monitoring to discover pain and discomfort in non-verbal persons with severe intellectual disability: Caregivers’ experiences

BACKGROUND Non-verbal persons with intellectual disabilities (ID) may suffer from pain or discomfort, but caregivers may not notice this because of the communication difficulties. Previously, we conducted a study in which professional caregivers used heart rate (HR) monitoring to identify situations that cause acute pain or distress in the everyday life of non-verbal persons with ID. OBJECTIVE To explore professional caregivers’ experience with using HR monitors to better understand non-verbal persons with ID. METHODS Fifteen professional caregivers and 30 final-year students of social education were recruited as informants based on their experience with HR monitoring in non-verbal persons. The informants were interviewed, and they responded to a questionnaire with open-ended questions. The qualitative data were analysed thematically. RESULTS Caregivers reported that HR monitoring provided information about acute pain, acute or prolonged distress, occurrence of epileptic seizures, and the non-verbal persons’ preferences and dislikes. HR data had to be interpreted contextually to be meaningful. Some informants found HR monitoring time-consuming or the interpretation of HR data challenging due to multiple possible causes of increased HR. CONCLUSIONS Caregivers experience HR monitoring as a potentially important source of information that may help them better understand non-verbal persons with ID.

Authors

Institutions

Publication Details

Journal
Technology and Disability
Published
2024-11-01
DOI
https://doi.org/10.1177/10554181241301866
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using heart rate monitoring to discover pain and discomfort in non-verbal persons with severe intellectual disability: Caregivers’ experiences

Elin Sundby Boysen, Frode Strisland, Tone Øderud, Emilie Smith-Meyer Kildal et al.
Technology and Disability
Heart Rate Variability and Autonomic Control
article

Using heart rate monitoring to discover pain and discomfort in non-verbal persons with severe intellectual disability: Caregivers’ experiences

Elin Sundby Boysen, Frode Strisland, Tone Øderud, Emilie Smith-Meyer Kildal, Inger-Lise Dahl, Cecilie Morland, Bjørnar Hassel
article en

Abstract

BACKGROUND Non-verbal persons with intellectual disabilities (ID) may suffer from pain or discomfort, but caregivers may not notice this because of the communication difficulties. Previously, we conducted a study in which professional caregivers used heart rate (HR) monitoring to identify situations that cause acute pain or distress in the everyday life of non-verbal persons with ID. OBJECTIVE To explore professional caregivers’ experience with using HR monitors to better understand non-verbal persons with ID. METHODS Fifteen professional caregivers and 30 final-year students of social education were recruited as informants based on their experience with HR monitoring in non-verbal persons. The informants were interviewed, and they responded to a questionnaire with open-ended questions. The qualitative data were analysed thematically. RESULTS Caregivers reported that HR monitoring provided information about acute pain, acute or prolonged distress, occurrence of epileptic seizures, and the non-verbal persons’ preferences and dislikes. HR data had to be interpreted contextually to be meaningful. Some informants found HR monitoring time-consuming or the interpretation of HR data challenging due to multiple possible causes of increased HR. CONCLUSIONS Caregivers experience HR monitoring as a potentially important source of information that may help them better understand non-verbal persons with ID.

Technology and DisabilityVol. 36(4)
Oslo University Hospital (NO), SINTEF (NO), OsloMet – Oslo Metropolitan University (NO), University of Oslo (NO), SINTEF Digital
Openalex Percentile: Top 55%
Heart Rate Variability and Autonomic Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.