Evidence map›Paper›PMID 39338844›Full record

ArticleSensors (Basel, Switzerland)2024

Application of Indoor Positioning Systems in Nursing Homes: Enhancing Resident Safety and Staff Efficiency.

Chia-Rong Lee, Edward T-H Chu, Min-Jing Sie, Li-Tsai Lin, Mei-Zhen Hong, Ching-Chih Huang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chia-Rong LeeGeneral Education Center, National Yunlin University of Science and Technology, Yunlin 640301, Taiwan.ORCID 0000-0003-2393-5901
Edward T-H ChuComputer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin 640301, Taiwan.ORCID 0000-0001-9366-2430
Min-Jing SieComputer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin 640301, Taiwan.
Li-Tsai LinYunlin Veterans Home, Yunlin 64044, Taiwan.
Mei-Zhen HongYunlin Veterans Home, Yunlin 64044, Taiwan.
Ching-Chih HuangYunlin Veterans Home, Yunlin 64044, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST 108-2221-E-224 -017 -MY3
6 · The paper itself

Abstract

Providing a safe and secure living environment for residents that is supported by a dedicated healthcare team is one of the core values of nursing homes. Nursing homes must protect residents from the risk of going missing, track quarantined residents and visitors to control the spread of infection, and maintain proactive nursing rounds. However, recruiting and retaining qualified caregivers and medical staff has long been a challenge. Therefore, using advanced technology to ensure the safety and security of residents is highly desirable. In this work, we first demonstrate the applicability of indoor tracking applications in a nursing home, such as resident and asset tracking, nursing assistant management, visitor tracking, infection control, and vital-sign monitoring. To monitor the locations of residents and staff, Bluetooth tags were used, providing real-time data for location tracking. We then conduct a series of quantitative analyses to illustrate how indoor tracking data can support the management of nursing homes, including characterizing residents' activities in daily living and assessing the performance and workload of nursing assistants. Finally, we use qualitative research to evaluate the acceptability of an indoor positioning system in the nursing home. The results show that the implemented indoor positioning applications can improve the quality of healthcare and working efficiency, thereby providing a safer and more secure living environment for residents.

Indexed as

Nursing HomesActivities of Daily LivingFemaleGeographic Information SystemsHumansPatient Safetybig data analysisindoor positioning systemlong-term care facilitynursing homesmart healthcare

Identifiers

PMID39338844
PMCPMC11435689

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.