Evidence map›Paper›PMID 38089481›Full record

ArticleFrontiers in physiology2023

Rethinking pain communication of patients with Alzheimer's disease through E-textile interaction design.

Yanheng Li, Long Bai, Yaxuan Mao, Hongliang Ren, Yu Qiao, Xin Tong, Ray Lc

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Mechanisms of comorbidity between Alzheimer's disease and pain.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    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

7 authors at 4 institutions in 3 countries.

Yanheng Li *School of Creative Media, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Long Bai *Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Yaxuan MaoSchool of Creative Media, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Hongliang RenDepartment of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Yu QiaoSchool of Design and Arts, Beijing Institute of Technology, Beijing, China.
Xin TongData Science Research Center and Global Health Research Center, Duke Kunshan University, Kunshan, China.
Ray LcSchool of Creative Media, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
City University of Hong Kong · HKChinese University of Hong Kong · HKBeijing Institute of Technology · CNDuke Kunshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older individuals are easily prone to chronic pain. Due to the complexity of chronic pain, most elderly often have difficulty expressing pain to others to seek assistance, especially those with Alzheimer's disease (AD). The caregivers cannot instantly discover the patients' pain condition and provide timely pain management. This project applies physiological signal sensing technology to help AD patients express the presence of pain non-verbally. We embed sensors on patients' handkerchiefs to identify the patient's abnormal physical activity when pain occurs. Next, we translate the physiological signal into qualitative light alert to send to caregivers and indicate the pain occurrence condition. Then, utilizing multi-sensory stimulation intervention, we create an electronic textile (e-textile) tool to help caregivers effectively support patients in pain. And thus to create a two-way pain communication between caregivers and the patients. Pain perception can be independent of subjective expressions and tangibly perceived by others through our textile prototype. The e-textile handkerchiefs also bring up a new guide to facilitate communication for caregivers when their patients. We contribute the design insights of building a bio-sensing and e-textile system with considering the pain communication needs, patients' pain behaviors and preference of objects. Our e-textile system may contribute to pain communication bio-sensing tool design for special elderly groups, especially those with weakened cognition and communication abilities. We provide a new approach to dealing with the pain of AD patients for healthcare professionals.

Indexed as

Alzheimer’s diseasecaregiverchronic painmulti-sensory stimulationpain communicationtangible interactionwearable sensor

Identifiers

PMID38089481
PMCPMC10711073
OpenAlexW4389054052

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.