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Home NEWS Science News Health

Bluetooth tracking devices provide new look into care home quality

Bioengineer by Bioengineer
May 15, 2024
in Health
Reading Time: 3 mins read
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Quality in care homes: How wearable devices and social network analysis might help
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Wearable Bluetooth devices can shed light on the care that residents of care homes are receiving and which residents are most in need of social contact, according to a new study published this week in the open-access journal PLOS ONE by Carl Thompson of University of Leeds, UK.

Quality in care homes: How wearable devices and social network analysis might help

Credit: Thompson et al., 2024, PLOS ONE, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Wearable Bluetooth devices can shed light on the care that residents of care homes are receiving and which residents are most in need of social contact, according to a new study published this week in the open-access journal PLOS ONE by Carl Thompson of University of Leeds, UK.

In the UK alone, nearly half a million people reside in some form of care home, including long-term care facilities, nursing homes and residential homes. There is no single reliable method that works well to evaluate care home quality, in part because care homes are complex social systems with diverse interacting groups.

In the new study, researchers tested the feasibility of collecting social network metrics on people in care homes by using Bluetooth devices worn by both staff and residents. More than 250 people in four UK care homes were involved in the study. Over two months, the researchers collected data on 204,087 interactions between people.

Just 2% of all interactions recorded by the devices lasted longer than 2 minutes, and more than 65% of those longer interactions were between staff members. Moreover, in only one of the four care homes did residents have as many social interactions as staff. Overall, most interactions between people occurred in communal areas such as dining rooms and lounges, with staff and smoking rooms also being focal points for interactions. The data also allowed researchers to identify staff and residents with the strongest and weakest social connections to their communities, based on the frequency and length of their interactions with other people.

The study was limited by the fact that data was collected in only four homes and was not collected with any context or any information about whether a social interaction generated positive or negative feelings. However, the authors conclude that wearable devices worn by care home residents and staff are capable of generating useful data for quality improvement. Data emerging from this study could be utilized to implement initiatives aimed at improving the lives of residents by reducing their isolation and increasing interaction between staff and residents.

The authors add: “Relationships and social contact are what transforms merely safe and adequate long term care into high-quality, outstanding, long term care. This paper shows how wearable contact tracing technology can help ensure social contact and relationships are a part of quality long term care for more people that live and work in care homes.”

#####

In your coverage please use this URL to provide access to the freely available article in PLOS ONE: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302478

Citation: Thompson C, Gordon A, Khaliq K, Daffu-O’Reilly A, Willis T, Noakes C, et al. (2024) Quality in care homes: How wearable devices and social network analysis might help. PLoS ONE 19(5): e0302478. https://doi.org/10.1371/journal.pone.0302478

Author Countries: UK

Funding: Contact Tracing in Care Homes Using Digital Technology (CONTACT) study was commissioned as part of the UK National Institute for Health and Care Research’s (NIHR) COVID-19 Recovery and Learning call in April 2020 It is funded by the NIHR [HTA programme (NIHR132197)]. https://fundingawards.nihr.ac.uk/award/NIHR132197. CT was the Principal Investigator and the award was for £1,711,019.62. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.



Journal

PLoS ONE

DOI

10.1371/journal.pone.0302478

Method of Research

Observational study

Subject of Research

People

Article Title

Quality in care homes: How wearable devices and social network analysis might help

Article Publication Date

15-May-2024

COI Statement

During the COVID-19 pandemic CN and AG were participants in the UK Scientific Advisory Group for Emergencies (SAGE), co-chaired the SAGE Environment and Modelling Sub-Group and was a member of the SAGE care home working group. CT has previously provided paid scientific advice to Microshare Ltd and has presented to the SAGE care home working group. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

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