Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study

Background: Increasing need for nursing care has led to the increased burden on formal caregivers, with those in nursing homes having to deal with exhausting labor. Although research activities on the use of internet of things devices to support nursing care for older adults exist, there is limited...

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Main Authors: ITOH, Sakiko, TAN, Hwee-pink, KUDO, Kenichi, OGATA, Yasuko
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Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7172
https://ink.library.smu.edu.sg/context/sis_research/article/8175/viewcontent/MentalBurdenNursingCare_pvoa_cc_by.pdf
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spelling sg-smu-ink.sis_research-81752022-06-15T06:20:58Z Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study ITOH, Sakiko TAN, Hwee-pink KUDO, Kenichi OGATA, Yasuko Background: Increasing need for nursing care has led to the increased burden on formal caregivers, with those in nursing homes having to deal with exhausting labor. Although research activities on the use of internet of things devices to support nursing care for older adults exist, there is limited evidence on the effectiveness of these interventions among formal caregivers in nursing homes. Objective: This study aims to investigate whether mat-type sleep state sensors for supporting nursing care can reduce the mental burden of formal caregivers in a nursing home. Methods: This was a quasi-experimental study at a nursing home in Tokyo, Japan. The study participants were formal caregivers who cared for residents in private rooms on the fourth and fifth floors of the nursing home. In the intervention group, formal caregivers took care of residents who used sleep state sensors on the fourth floor of the nursing home. The sleep state sensors were mat types and designed to detect body motion such as the frequency of toss and turning and to measure heartbeat and respiration. One sensor was placed on a bed in a private room. When body motion is detected, the information is instantly displayed on a monitor at a staff station. In addition, the mental condition of the formal caregivers was measured using a validated self-reported outcome measure-the Profile of Mood States (POMS), Short-Form, 2nd edition. Formal caregivers in both groups received the POMS at baseline, midpoint (week 4), and endpoint (week 8) to identify changes in these domains. The primary outcome was the difference in total mood disturbance (TMD) of the POMS at baseline and week 8. Results: Of the 22 eligible formal caregivers, 12 (intervention group) utilized sleep state sensors for 8 weeks. The remaining 10 formal caregivers (control group) provided nursing care as usual. As for the primary outcome of the difference between TMD at baseline and week 8, TMD in the intervention group improved by -3.67 versus 4.70 in the control group, resulting in a mean difference of -8.37 (95% CI -32.02 to 15.29; P=.48) in favor of the intervention. Conclusions: The present 8-week study showed that sleep state sensing for elderly residents might not be associated with reduced mental burdens on formal caregivers in nursing homes. 2022-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7172 info:doi/10.2196/19641 https://ink.library.smu.edu.sg/context/sis_research/article/8175/viewcontent/MentalBurdenNursingCare_pvoa_cc_by.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University long-term care caregiver burden nursing homes aged information technology sensors Databases and Information Systems Hospitality Administration and Management Nursing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic long-term care
caregiver burden
nursing homes
aged
information technology
sensors
Databases and Information Systems
Hospitality Administration and Management
Nursing
spellingShingle long-term care
caregiver burden
nursing homes
aged
information technology
sensors
Databases and Information Systems
Hospitality Administration and Management
Nursing
ITOH, Sakiko
TAN, Hwee-pink
KUDO, Kenichi
OGATA, Yasuko
Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study
description Background: Increasing need for nursing care has led to the increased burden on formal caregivers, with those in nursing homes having to deal with exhausting labor. Although research activities on the use of internet of things devices to support nursing care for older adults exist, there is limited evidence on the effectiveness of these interventions among formal caregivers in nursing homes. Objective: This study aims to investigate whether mat-type sleep state sensors for supporting nursing care can reduce the mental burden of formal caregivers in a nursing home. Methods: This was a quasi-experimental study at a nursing home in Tokyo, Japan. The study participants were formal caregivers who cared for residents in private rooms on the fourth and fifth floors of the nursing home. In the intervention group, formal caregivers took care of residents who used sleep state sensors on the fourth floor of the nursing home. The sleep state sensors were mat types and designed to detect body motion such as the frequency of toss and turning and to measure heartbeat and respiration. One sensor was placed on a bed in a private room. When body motion is detected, the information is instantly displayed on a monitor at a staff station. In addition, the mental condition of the formal caregivers was measured using a validated self-reported outcome measure-the Profile of Mood States (POMS), Short-Form, 2nd edition. Formal caregivers in both groups received the POMS at baseline, midpoint (week 4), and endpoint (week 8) to identify changes in these domains. The primary outcome was the difference in total mood disturbance (TMD) of the POMS at baseline and week 8. Results: Of the 22 eligible formal caregivers, 12 (intervention group) utilized sleep state sensors for 8 weeks. The remaining 10 formal caregivers (control group) provided nursing care as usual. As for the primary outcome of the difference between TMD at baseline and week 8, TMD in the intervention group improved by -3.67 versus 4.70 in the control group, resulting in a mean difference of -8.37 (95% CI -32.02 to 15.29; P=.48) in favor of the intervention. Conclusions: The present 8-week study showed that sleep state sensing for elderly residents might not be associated with reduced mental burdens on formal caregivers in nursing homes.
format text
author ITOH, Sakiko
TAN, Hwee-pink
KUDO, Kenichi
OGATA, Yasuko
author_facet ITOH, Sakiko
TAN, Hwee-pink
KUDO, Kenichi
OGATA, Yasuko
author_sort ITOH, Sakiko
title Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study
title_short Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study
title_full Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study
title_fullStr Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study
title_full_unstemmed Comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in Tokyo, Japan: Quasi-experimental study
title_sort comparison of the mental burden on nursing care providers with and without mat-type sleep state sensors at a nursing home in tokyo, japan: quasi-experimental study
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/sis_research/7172
https://ink.library.smu.edu.sg/context/sis_research/article/8175/viewcontent/MentalBurdenNursingCare_pvoa_cc_by.pdf
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