Evidence map›Paper›PMID 30535152›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2019

Information visualizations of symptom information for patients and providers: a systematic review.

Maichou Lor, Theresa A Koleck, Suzanne Bakken

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Celebrating Suzanne Bakken, 2023 Morris F. Collen Award winner and pioneer in health equity.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  20. 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

3 authors.

Maichou LorSchool of Nursing, Columbia University, New York City, New York USA.
Theresa A KoleckSchool of Nursing, Columbia University, New York City, New York USA.
Suzanne BakkenSchool of Nursing, Columbia University, New York City, New York USA.

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3M
Advancing Chronic Condition Symptom Cluster Science Through Use of Electronic Health Records and Data Science TechniquesK99NR017651 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KOLECK, THERESA ANN · 2018 to 2019
$180k
NINR NIH HHS K99 NR017651NINR NIH HHS P30 NR016587NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

Objective: To systematically synthesize the literature on information visualizations of symptoms included as National Institute of Nursing Research common data elements and designed for use by patients and/or healthcare providers. Methods: We searched CINAHL, Engineering Village, PsycINFO, PubMed, ACM Digital Library, and IEEE Explore Digital Library to identify peer-reviewed studies published between 2007 and 2017. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT) and a visualization quality score, and organized evaluation findings according to the Health Information Technology Usability Evaluation Model. Results: Eighteen studies met inclusion criteria. Ten of these addressed all MMAT items; 13 addressed all visualization quality items. Symptom visualizations focused on pain, fatigue, and sleep and were represented as graphs (n = 14), icons (n = 4), and virtual body maps (n = 2). Studies evaluated perceived ease of use (n = 13), perceived usefulness (n = 12), efficiency (n = 9), effectiveness (n = 5), preference (n = 6), and intent to use (n = 3). Few studies reported race/ethnicity or education level. Conclusion: The small number of studies for each type of information visualization limit generalizable conclusions about optimal visualization approaches. User-centered participatory approaches for information visualization design and more sophisticated evaluation designs are needed to assess which visualization elements work best for which populations in which contexts.

Indexed as

Computer GraphicsSymptom AssessmentUser-Computer InterfaceAttitude to ComputersHealth PersonnelHumansPatients

Identifiers

PMID30535152
PMCPMC6657383

What OpenQuestion holds

Textmetadata
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.