Evidence map›Paper›PMID 36693053›Full record

ArticlePloS one2023

Graphical user interface design to improve understanding of the patient-reported outcome symptom response.

Mangyeong Lee, Danbee Kang, Yeongrae Joi, Junghee Yoon, Youngha Kim, Jinhwang Kim, Minwoong Kang, Dongryul Oh, Soo-Yong Shin, Juhee Cho

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Mangyeong LeeCenter for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.ORCID 0000-0002-6266-5978
Danbee KangCenter for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.ORCID 0000-0003-0244-7714
Yeongrae JoiCenter for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.
Junghee YoonDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.
Youngha KimCenter for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.
Jinhwang KimCenter for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.
Minwoong KangDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.
Dongryul OhDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Soo-Yong ShinDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.
Juhee ChoCenter for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.ORCID 0000-0001-9081-0266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSymptom monitoring application (SMA) has clinical benefits to cancer patients but patients experience difficulties in using it. Few studies have identified which types of graphical user interface (GUI) are preferred by cancer patients for using the SMA.

methodsThis is a cross-sectional study aimed to identify preferred GUI among cancer patients to use SMA. Total of 199 patients were asked to evaluate 8 types of GUIs combining text, icon, illustration, and colors using mixed-methods. Subgroup analyses were performed according to age and gender.

resultsThe mean age of the patients was 57 and 42.5% was male. The most preferred GUI was "Text + Icon + Color" (mean = 4.43), followed by "Text + Icon" (mean = 4.39). Older patients (≥ 60 years) preferred "Text + Icon" than younger patients (p for interaction < 0.01). Simple and intuitive text and icons were the most useful GUI for cancer patients to use the SMA.

conclusionSimple and intuitive text and icons were the most useful GUI for cancer patients to use the SMA. Researchers need to be careful when applying realistic face drawings to cancer symptom monitoring applications because they can recall negative images of cancer.

Indexed as

NeoplasmsUser-Computer InterfaceCross-Sectional StudiesHumansMaleMental RecallPatient Reported Outcome Measures

Identifiers

PMID36693053
PMCPMC9873161

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LicenceCC BY
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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.