Evidence map›Paper›PMID 38475812›Full record

ArticleBMC medical informatics and decision making2024

Implementation difficulties and solutions for a smart-clothes assisted home nursing care program for older adults with dementia or recovering from hip fracture.

Chung-Chih Lin, Ching-Tzu Yang, Pei-Ling Su, Jung-Ling Hsu, Yea-Ing L Shyu, Wen-Chuin Hsu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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 at 2 institutions in 1 country.

Chung-Chih LinDepartment of Computer Science and Information Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan (R.O.C.).
Ching-Tzu YangSchool of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan (R.O.C.).
Pei-Ling SuSchool of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan (R.O.C.).
Jung-Ling HsuDepartment of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan (R.O.C.).
Yea-Ing L ShyuSchool of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan (R.O.C.). yeaing@mail.cgu.edu.tw.
Wen-Chuin HsuDepartment of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan (R.O.C.).
Chang Gung University · TWLinkou Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable devices have the advantage of always being with individuals, enabling easy detection of their movements. Smart clothing can provide feedback to family caregivers of older adults with disabilities who require in-home care.

methodsThis study describes the process of setting up a smart technology-assisted (STA) home-nursing care program, the difficulties encountered, and strategies applied to improve the program. The STA program utilized a smart-vest, designed specifically for older persons with dementia or recovering from hip-fracture surgery. The smart-vest facilitated nurses' and family caregivers' detection of a care receiver's movements via a remote-monitoring system. Movements included getting up at night, time spent in the bathroom, duration of daytime immobility, leaving the house, and daily activity. Twelve caregivers of older adults and their care receiver participated; care receivers included persons recovering from hip fracture (n = 5) and persons living with dementia (n = 7). Data about installation of the individual STA in-home systems, monitoring, and technical difficulties encountered were obtained from researchers' reports. Qualitative data about the caregivers' and care receivers' use of the system were obtained from homecare nurses' reports, which were explored with thematic analysis.

resultsCompiled reports from the research team identified three areas of difficulty with the system: incompatibility with the home environment, which caused extra hours of manpower and added to the cost of set-up and maintenance; interruptions in data transmissions, due to system malfunctions; and inaccuracies in data transmissions, due to sensors on the smart-vest. These difficulties contributed to frustration experienced by caregivers and care receivers.

conclusionsThe difficulties encountered impeded implementation of the STA home nursing care. Each of these difficulties had their own unique problems and strategies to resolve them. Our findings can provide a reference for future implementation of similar smart-home systems, which could facilitate ease-of-use for family caregivers.

Indexed as

DementiaHip FracturesHome Care ServicesAgedAged, 80 and overCaregiversClothingHome NursingHumansDementiaHip fractureHome healthRemote monitoringSmart careSmart clothingWearable device

Identifiers

PMID38475812
PMCPMC10936039
OpenAlexW4392691391

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.