Evidence map›Paper›PMID 34842529›Full record

ArticleJMIR human factors2021

User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study.

Zhan Zhang, Lukas Kmoth, Xiao Luo, Zhe He

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Communicating blood test results in primary care: a mixed-methods systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Pooled it
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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

4 authors at 3 institutions in 1 country.

Zhan Zhang *School of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0001-6973-6903
Lukas Kmoth *School of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0002-1197-1625
Xiao Luo *School of Engineering & Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0002-3649-9785
Zhe He *School of Information, Florida State University, Tallahasse, FL, United States.ORCID https://orcid.org/0000-0003-3608-0244
Pace University · USFlorida State University · USUniversity of Indianapolis · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Systematic Analysis of Clinical Study Generalizability Assessment Methods with InformaticsR21AG061431 · NIA · FLORIDA STATE UNIVERSITY · PI BIAN, JIANG, HE, ZHE · 2019 to 2020
$793k
NCATS NIH HHS UL1 TR001427NIA NIH HHS R21 AG061431
6 · The paper itself

Abstract

backgroundPersonal clinical data, such as laboratory test results, are increasingly being made available to patients via patient portals. However, laboratory test results are presented in a way that is difficult for patients to interpret and use. Furthermore, the indications of laboratory test results may vary among patients with different characteristics and from different medical contexts. To date, little is known about how to design patient-centered technology to facilitate the interpretation of laboratory test results.

objectiveThe aim of this study is to explore design considerations for supporting patient-centered communication and comprehension of laboratory test results, as well as discussions between patients and health care providers.

methodsWe conducted a user-centered, multicomponent design research consisting of user studies, an iterative prototype design, and pilot user evaluations, to explore design concepts and considerations that are useful for supporting patients in not only viewing but also interpreting and acting upon laboratory test results.

resultsThe user study results informed the iterative design of a system prototype, which had several interactive features: using graphical representations and clear takeaway messages to convey the concerning nature of the results; enabling users to annotate laboratory test reports; clarifying medical jargon using nontechnical verbiage and allowing users to interact with the medical terms (eg, saving, favoriting, or sorting); and providing pertinent and reliable information to help patients comprehend test results within their medical context. The results of a pilot user evaluation with 8 patients showed that the new patient-facing system was perceived as useful in not only presenting laboratory test results to patients in a meaningful way but also facilitating in situ patient-provider interactions.

conclusionsWe draw on our findings to discuss design implications for supporting patient-centered communication of laboratory test results and how to make technology support informative, trustworthy, and empathetic.

Indexed as

clinical laboratory resultshealth communicationpatient-centered carepatient portal

Identifiers

PMID34842529
PMCPMC8723791
OpenAlexW3201244245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.