Evidence map›Paper›PMID 37444769›Full record

ArticleHealthcare (Basel, Switzerland)2023

Utilizing Design Thinking for Effective Multidisciplinary Diabetes Management.

Ming-Chen Hsieh, Yu-Ming Kuo, Yu-Lun Kuo

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Ming-Chen HsiehDepartment of Medical Education, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan.ORCID 0000-0003-2677-7646
Yu-Ming KuoDepartment of Marketing and Distribution Management, Tzu Chi University of Science and Technology, Hualien 970302, Taiwan.ORCID 0000-0002-2371-8475
Yu-Lun KuoDepartment of Nursing, Tzu Chi University of Science and Technology, Hualien 970302, Taiwan.

Funding

Buddhist Tzu Chi Medical Foundation TCMF-ME-P 108-04, TCMF-ME-I 109-01, 109-02, TCMF-ME-P 110-01
6 · The paper itself

Abstract

(1) Background: Design thinking, as a human-centered design method, represents a unique framework to support the planning, testing, and evaluation of new clinical spaces for diabetic care throughout all phases of construction. This approach prioritizes the needs and experiences of diabetic patients to create innovative and effective healthcare environments. By applying design-thinking principles, healthcare facilities can optimize the design and functionality of their clinical spaces, ensuring a patient-centered approach to diabetic care. This holistic and personalized approach can ultimately enhance the overall quality of diabetic care provided to patients. (2) Methods: The study used the action research method and progressively explored diabetes patients' needs and preferences for care, subsequently developing creative solutions to achieve the goals. There were six doctors, seven nursing staffs, four case managers and three family members who participated in the design-thinking workshop. (3) Results: The participating trainees in this study developed unique and innovative solutions during the iterative process of "divergent thinking" and "focused thinking", including diabetes dietary guidelines for food ordering and delivery platforms, and the design of accompanying health-education picture books to enable patients to learn the care process and precautions before, during, and after discharge. (4) Conclusions: This continuing education model promoted sharing among participants, improved collaboration and mutual learning, and increased motivation through goal setting.

Indexed as

design thinkingdischarge planninginterprofessional education

Identifiers

PMID37444769
PMCPMC10341363

What OpenQuestion holds

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LicenceCC BY
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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.