Evidence map›Paper›PMID 28347856›Full record

ArticleJournal of biomedical informatics2017

A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care.

Daniel Morrow, Mark Hasegawa-Johnson, Thomas Huang, William Schuh, Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Bidisha Roy, Rocio Garcia-Retamero

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 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.

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

15 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Interventions to increase patient portal use in vulnerable populations: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Reference range number line format preferred by adults for display of asthma control status.The Journal of asthma : official journal of the Association for the Care of Asthma · 2020
    Article
  11. Visual analogies, not graphs, increase patients' comprehension of changes in their health status.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  12. Article
  13. Is research on patient portals attuned to health equity? A scoping review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  14. Using conversational agents to explain medication instructions to older adults.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  15. 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

9 authors.

Daniel MorrowUniversity of Illinois at Urbana-Champaign, Department of Educational Psychology, Champaign, IL, United States. Electronic address: dgm@illinois.edu.
Mark Hasegawa-JohnsonUniversity of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, United States.
Thomas HuangUniversity of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, United States.
William SchuhCarle Foundation Hospital, Urbana, IL, United States.
Renato Ferreira Leitão AzevedoUniversity of Illinois at Urbana-Champaign, Department of Educational Psychology, Champaign, IL, United States.
Kuangxiao GuUniversity of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, United States.
Yang ZhangUniversity of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, United States.
Bidisha RoyUniversity of Illinois at Urbana-Champaign, Department of Educational Psychology, Champaign, IL, United States.
Rocio Garcia-RetameroUniversity of Granada, Department of Experimental Psychology, Granada, Spain.

Funding

Collaborative Patient Portals: Computer-based Agents and Patients??? UnderstandinR21HS022948 · AHRQ · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MORROW, DANIEL G · 2014 to 2015
$300k
AHRQ HHS R21 HS022948
6 · The paper itself

Abstract

We describe a project intended to improve the use of Electronic Medical Record (EMR) patient portal information by older adults with diverse numeracy and literacy abilities, so that portals can better support patient-centered care. Patient portals are intended to bridge patients and providers by ensuring patients have continuous access to their health information and services. However, they are underutilized, especially by older adults with low health literacy, because they often function more as information repositories than as tools to engage patients. We outline an interdisciplinary approach to designing and evaluating portal-based messages that convey clinical test results so as to support patient-centered care. We first describe a theory-based framework for designing effective messages for patients. This involves analyzing shortcomings of the standard portal message format (presenting numerical test results with little context to guide comprehension) and developing verbally, graphically, video- and computer agent-based formats that enhance context. The framework encompasses theories from cognitive and behavioral science (health literacy, fuzzy trace memory, behavior change) as well as computational/engineering approaches (e.g., image and speech processing models). We then describe an approach to evaluating whether the formats improve comprehension of and responses to the messages about test results, focusing on our methods. The approach combines quantitative (e.g., response accuracy, Likert scale responses) and qualitative (interview) measures, as well as experimental and individual difference methods in order to investigate which formats are more effective, and whether some formats benefit some types of patients more than others. We also report the results of two pilot studies conducted as part of developing the message formats.

Indexed as

Electronic Health RecordsPatient PortalsSelf CareAgedHealth LiteracyHumansInterdisciplinary CommunicationMiddle AgedPatient CarePatient-Centered CareAgingCognitionComputer agentElectronic Medical RecordLearningPatient portal

Identifiers

PMID28347856
PMCPMC5492515

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.