The Impact of Monitoring Device: Evidence from the RCT in Japanese Long-Term Care Nursing Facilities

Last registered on November 26, 2025

Pre-Trial

Trial Information

General Information

Title
The Impact of Monitoring Device: Evidence from the RCT in Japanese Long-Term Care Nursing Facilities
RCT ID
AEARCTR-0017350
Initial registration date
November 24, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
November 26, 2025, 7:07 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

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Primary Investigator

Affiliation
GRIPS

Other Primary Investigator(s)

PI Affiliation
Kanagawa University of Human Services
PI Affiliation
University of Tokyo
PI Affiliation
Kanagawa University of Human Services
PI Affiliation
Waseda University
PI Affiliation
Waseda University
PI Affiliation
Kanagawa University of Human Services

Additional Trial Information

Status
In development
Start date
2025-12-15
End date
2026-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study evaluates the impact of an under-mattress monitoring device on care worker burden and resident health outcomes in Japanese long-term care nursing facilities. We conduct a matched-pairs cluster randomized controlled trial across approximately 20 facilities in Kanagawa Prefecture. Clusters are paired on observable characteristics and randomized 1:1 to treatment or control. We estimate intention-to-treat effects on five primary outcome families: care worker stress (SRS-18), care worker physical activity (steps), resident sleep efficiency, resident safety (fall rates), and resident well-being (WHO-5). Secondary outcomes include an embedding-based psychological burden index derived from daily work logs using natural language processing. The intervention may reduce nocturnal monitoring burden through improved information and triage, with potential spillovers to resident sleep quality and safety.
External Link(s)

Registration Citation

Citation
Goto, Jun et al. 2025. "The Impact of Monitoring Device: Evidence from the RCT in Japanese Long-Term Care Nursing Facilities." AEA RCT Registry. November 26. https://doi.org/10.1257/rct.17350-1.0
Experimental Details

Interventions

Intervention(s)
The intervention is the installation and activation of "Nemuri SCAN," an under-mattress monitoring device manufactured by Paramount Bed Co., Ltd. The device uses pressure sensors to continuously detect residents' sleep/wake states, bed-exit events, and physiological proxies including respiration rate and heart rate. Data are transmitted to a central monitoring system accessible to night-shift care staff via tablets or desktop displays. Treatment clusters receive device installation under all resident mattresses, along with standardized staff training on system operation and alert response protocols. Care workers can monitor resident status in real-time without physical room visits, enabling more efficient triage of nocturnal care needs. Control clusters continue business-as-usual monitoring practices (periodic physical room checks) during the study period. Control clusters receive device access after the main intervention period ends, per the program agreement with Kanagawa Prefecture.
Intervention Start Date
2025-12-21
Intervention End Date
2026-01-30

Primary Outcomes

Primary Outcomes (end points)
We organize primary outcomes into five conceptually distinct outcome families, with one primary endpoint per family:

1. Care worker stress: SRS-18 (Stress Response Scale-18) total score (0–72), a validated psychological stress measure.
2. Care worker physical activity: Daily steps during work shifts measured via wearable devices.

3. Resident sleep efficiency: Sleep efficiency (%) = 100 × (total sleep time / time in bed), derived from device telemetry.

4. Resident safety: Falls per 1,000 resident-nights (cluster-level rate in the post-intervention window).

5. Resident well-being: WHO-5 Well-Being Index rescaled to 0–100 (proxy-completed by caregivers).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
1. Time-use during night shifts: Share of time across activity categories (e.g., direct care, monitoring, documentation) recorded via time-study survey.

2. Care worker activity (distance and calories): Distance traveled and calories expended during work shifts measured via wearable devices.

3. Night-visit counts and purposes: Number and reasons for nocturnal room visits recorded by care workers.

4. Text-based psychological burden index: Embedding-based measure of caregiver psychological burden derived from daily work logs using natural language processing (BERT-family model).

5. Device-derived sleep metrics for residents: Wake after sleep onset (WASO, minutes), nocturnal awakenings (count), and out-of-bed minutes from device telemetry.

6. Physiological proxies: Respiration rate and heart rate from the monitoring device.

7. Near-miss incidents ("hiyari-hatto"): Count of near-miss events from routine incident reports.

8. Falls and accident counts: Number of falls and accidents from facility records.

9. Hospitalizations: Count of hospital admissions during the study period.
Pressure ulcers: Incidence of new pressure ulcers.

10. Use of physical restraints: Frequency of physical restraint use.

11. Resident vitality (Vitality Index): Sum score (0–10) across five domains (waking pattern, communication, feeding, toileting, rehabilitation/activity), proxy-recorded by caregivers.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study employs a matched-pairs cluster randomized controlled trial (CRCT). The unit of randomization is the cluster, defined as either an independent floor within a facility or an entire facility. Pairing: Clusters are paired based on governing corporation, service type, facility scale, resident case-mix, and night-shift staffing structure using a two-stage matching algorithm. Randomization: Within each matched pair, one cluster is randomly assigned to treatment and one to control (1:1 allocation) using a reproducible random seed. Sample: Approximately 20 facilities in Kanagawa Prefecture, yielding ~40 clusters (~20 pairs), ~600 care workers, and ~640 residents. Timeline: Baseline data collection (5-day window) occurs prior to device installation. The intervention runs from December 2025 through February 2026, with follow-up data collection during the intervention period. Control condition: Control clusters continue business-as-usual monitoring and receive device access after the intervention period ends.
Experimental Design Details
Not available
Randomization Method
Randomization will be done in office by a computer.
Randomization Unit
Cluster (facility floor or entire facility). Within each matched pair, one cluster is randomized to treatment and one to control.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
~40 clusters (facility floors or facilities)
Sample size: planned number of observations
~600 care workers; ~640 residents
Sample size (or number of clusters) by treatment arms
~20 clusters treatment, ~20 clusters control (1:1 within each of ~20 matched pairs)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Kanagawa University of Human Services Research Ethics Committee
IRB Approval Date
2025-11-11
IRB Approval Number
2025-36-017