Evidence map›Paper›PMID 40104938›Full record

ArticleJMIR human factors2025

User-Centered Prototype Design of a Health Care Robot for Treating Type 2 Diabetes in the Community Pharmacy: Development and Usability Study.

Ching-Ju Chiu, Lin-Chun Hua, Jung-Hsien Chiang, Chieh-Ying Chou

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ching-Ju ChiuInstitute of Gerontology, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.ORCID 0000-0002-2352-9105
Lin-Chun HuaInstitute of Gerontology, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.ORCID 0000-0001-6479-8005
Jung-Hsien ChiangDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan.ORCID 0000-0002-4657-6705
Chieh-Ying ChouInstitute of Gerontology, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.ORCID 0009-0006-1442-7146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Technology can be an effective tool for providing health services and disease self-management, especially in diabetes care. Technology tools for disease self-management include health-related applications for computers and smartphones as well as the use of robots. To provide a more effective continuity of care and to better understand and facilitate disease management in middle-aged and older adult patients with diabetes, robots can be used to improve the quality of care and supplement community health resources, such as community pharmacies. Objective: The aim of this study was to develop a health care robot prototype that can be integrated into current community pharmacies. Methods: Three user-centered approaches were used: (1) review of the literature on technology use among older adults, 2) reference to the seven key diabetes self-care behaviors by the American Association of Diabetes Educators (AADE), and (3) meeting with health care providers in the community. Field investigations and interviews were conducted at community pharmacies and diabetes health education centers to determine the appearance, interface, content, and function of the robot. Results: The results show that diabetes health care prototype robots can be established through user-centered design. The following important features were revealed: (1) perceived ease of use is considered a friendly operating interface; therefore, we used less than 3 buttons in an interface; (2) minimization of the interface between blue and yellow, which is unfriendly to older adults; (3) the health education mode was the most preferred mode with sound, image, and video presentation; (4) the most predilected functions are health education resources and health records, and that patient data can be easily collected through health education games and dialogue with robots; and (5) touching the screen is the most preferred operation mode. Conclusions: An evidence-based health care robot can be developed through user-centered design, an approach in which a model that connects medical needs to people with health conditions can be built, thereby facilitating the sustainable development of technology in the diabetes care field.

Indexed as

Community Pharmacy ServicesDiabetes Mellitus, Type 2PharmaciesRoboticsUser-Centered DesignAgedFemaleHumansMaleMiddle Agedcommunity pharmacydiabetesmiddle-aged adultolder adultprototyperobotself-management

Identifiers

PMID40104938
PMCPMC11936303

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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.