Evidence map›Paper›PMID 37193118›Full record

ArticleInternational journal of human-computer studies2023

Automated Strategy Feedback Can Improve the Readability of Physicians' Electronic Communications to Simulated Patients.

Rod D Roscoe, Renu Balyan, Danielle S McNamara, Michelle Banawan, Dean Schillinger

Abstract read
In one paragraph

Article in International journal of human-computer studies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Rod D RoscoeArizona State University 7271 E. Sonoran Arroyo Mall Santa Catalina Hall 150 Mesa, AZ 85212 USA.
Renu BalyanState University of New York at Old Westbury PO Box 210, Old Westbury, NY 11568 USA.
Danielle S McNamaraArizona State University 1151 S Forest Avenue Tempe, AZ 85281 USA.
Michelle BanawanAsian Institute of Management 123 Paseo de Roxas Avenue Makati, Metro Manila 1229, Philippines.
Dean SchillingerSchool of Medicine, Division of General Internal Medicine University of California, San Francisco 500 Parnassus Avenue San Francisco, CA 94143 USA.

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
The Next Frontier in Diabetes Communication: Promoting Health Literacy in the Era of Secure MessagingR01LM012355 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARTER, ANDREW JOHN, SCHILLINGER, DEAN · 2015 to 2018
$2.8M
NIDDK NIH HHS P30 DK092924NLM NIH HHS R01 LM012355
6 · The paper itself

Abstract

Modern communication between health care professionals and patients increasingly relies upon secure messages (SMs) exchanged through an electronic patient portal. Despite the convenience of secure messaging, challenges include gaps between physician and patient expertise along with the asynchronous nature of such communication. Importantly, less readable SMs from physicians (e.g., too complicated) may result in patient confusion, non-adherence, and ultimately poorer health outcomes. The current simulation trial synthesizes work on patient-physician electronic communication, message readability assessments, and feedback to explore the potential for automated strategy feedback to improve the readability of physicians' SMs to patients. Within a simulated secure messaging portal featuring multiple simulated patient scenarios, computational algorithms assessed the complexity of SMs written by 67 participating physicians to patients. The messaging portal provided strategy feedback for how physician responses might be improved (e.g., adding details and information to reduce complexity). Analyses of changes in SM complexity revealed that automated strategy feedback indeed helped physicians compose and refine more readable messages. Although the effects for any individual SM were slight, the

Indexed as

automated feedbackelectronic health recordshealth literacynatural language processing, patient-physician communicationreadability

Identifiers

PMID37193118
PMCPMC10174593

What OpenQuestion holds

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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.