Evidence map›Paper›PMID 30264690›Full record

ReviewPreventing chronic disease2018

Design Thinking in Health Care.

Myra Altman, Terry T K Huang, Jessica Y Breland

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 262 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
262citing papers in PubMed, 3 pooled it
–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.

NCT07234656 recruitingnot on this mapstarted 2025, after this paper: background citation

Patient-partnered Research: a Key to Investigating Fear of Cancer Recurrence in Patients With Surgically Treated Kidney Cancer (PP-RECURK)

TypeobservationalSponsorBrigitta Rasmussen VillumsenRan2025 to 2028Enrolled105ConditionsFear of Cancer Recurrence, Renal Cell Carcinoma (Kidney Cancer)ArmsPhase 1: Establishment of a patient-partner panel, Phase 2: Feasibility testing of FCR questions, mode of administration and timing for investigating Fear of Cancer Recurrence
NCT07686848 nanot yet recruitingnot on this mapstarted 2028, after this paper: background citation

Evaluating the Impact of a Smartphone App on Health Outcomes and Treatment Adherence in Adolescents With Idiopathic Scoliosis: A Mixed Method Quasi-Experimental Study

TypeinterventionalSponsorOslo Metropolitan UniversityRan2028 to 2031Enrolled30ConditionsAdolescence Idiopathic Scoliosis, AISArmsDinSkoliose smartphone application
3 · Its place in the literature

Who cites it

262 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The use of digital solutions in alleviating the burden of IAPT's waiting times.The International journal of risk & safety in medicine · 2022
    Pooled it
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  15. Designing a communication strategy to promote Alzheimer's disease prevention: The CULTIVAMENTE campaign.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  16. Brain health care accelerator: A primary care-centered model for scaling dementia diagnosis and care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  20. Using Design Thinking to Develop a Tool for Strengthening Nurses' Cultural Competence: Lessons Learned.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2026
    Article

202 more citing papers are in PubMed but not listed here.

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.

Myra AltmanWashington University in St. Louis, St. Louis, Missouri.
Terry T K HuangCenter for Systems and Community Design, Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
Jessica Y BrelandVA Palo Alto Health Care System, Menlo Park, California.

Funding

HSRD VA IK2 HX002125
6 · The paper itself

Abstract

introductionApplying Design Thinking to health care could enhance innovation, efficiency, and effectiveness by increasing focus on patient and provider needs. The objective of this review is to determine how Design Thinking has been used in health care and whether it is effective.

methodsWe searched online databases (PubMed, Medline, Web of Science, CINAHL, and PyscINFO) for articles published through March 31, 2017, using the terms "health," "health care," or "healthcare"; and "Design Thinking," "design science," "design approach," "user centered design," or "human centered design." Studies were included if they were written in English, were published in a peer-reviewed journal, provided outcome data on a health-related intervention, and used Design Thinking in intervention development, implementation, or both. Data were collected on target users, health conditions, intervention, Design Thinking approach, study design or sample, and health outcomes. Studies were categorized as being successful (all outcomes improved), having mixed success (at least one outcome improved), or being not successful (no outcomes improved).

resultsTwenty-four studies using Design Thinking were included across 19 physical health conditions, 2 mental health conditions, and 3 systems processes. Twelve were successful, 11 reported mixed success, and one was not successful. All 4 studies comparing Design Thinking interventions to traditional interventions showed greater satisfaction, usability, and effectiveness.

conclusionDesign Thinking is being used in varied health care settings and conditions, although application varies. Design Thinking may result in usable, acceptable, and effective interventions, although there are methodological and quality limitations. More research is needed, including studies to isolate critical components of Design Thinking and compare Design Thinking-based interventions with traditionally developed interventions.

Indexed as

Delivery of Health CareResearch DesignHumansRandomized Controlled Trials as Topic

Identifiers

PMID30264690
PMCPMC6178900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.