Evidence map›Paper›PMID 32231478›Full record

ArticleAmerican journal of lifestyle medicine

Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine.

Anne Kuwabara, Sharlene Su, Jeffrey Krauss

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of lifestyle medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07004231 (Using Gout Buddy to Enhance Dietary Literacy and Gout Management-A Mixed Method Clinical Trial), which is not on this map. Cited by 62 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 4 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.

NCT07004231 naactive not recruitingnot on this map

Using Gout Buddy to Enhance Dietary Literacy and Gout Management-A Mixed Method Clinical Trial

TypeinterventionalSponsorSingHealth PolyclinicsRan2025 to 2026Enrolled110ConditionsGoutArmsGOUT Buddy, an AI chatbot
3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Design and Refinement of CyberCellJournal of medical extended reality · 2025
    Review
  20. Review

2 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.

Anne KuwabaraDivision of Physical Medicine and Rehabilitation, Stanford University, Stanford, California (AK, SS, JK).
Sharlene SuDivision of Physical Medicine and Rehabilitation, Stanford University, Stanford, California (AK, SS, JK).
Jeffrey KraussDivision of Physical Medicine and Rehabilitation, Stanford University, Stanford, California (AK, SS, JK).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technology has redefined the way patients and providers communicate and obtain health information. The realm of digital health encompasses a diverse set of technologies, including mobile health, health information technology, wearable devices, telehealth and telemedicine, and personalized medicine. These technologies have begun to improve care delivery without the traditional constraints of distance, location, and time. A growing body of evidence supports the use of digital health technology for improving patient education and implementation of skills and behaviors integral to lifestyle medicine. Patient education can now be delivered in standard formats (eg, articles, written messages) as well a wide array of multimedia (video, audio, interactive games, etc), which may be more appropriate for certain topics and learning styles. In addition, patient engagement in their care plays an important role in improving health outcomes. Despite digital health technology development often outpacing its research, there is sufficient evidence to support the use of many current technologies in clinical practice. Digital health tools will continue to grow in their ability to cost-effectively monitor and encourage healthy behaviors at scale, and better methods of evaluation will likely increase clinician confidence in their use.

Indexed as

Digital health technologylifestyle medicinepatient education

Identifiers

PMID32231478
PMCPMC7092400

What OpenQuestion holds

Textmetadata
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.