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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 11 02 2022
accepted: 18 10 2022
entrez: 24 1 2023
pubmed: 25 1 2023
medline: 27 1 2023
Statut: epublish

Résumé

Symptom 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. This 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. The 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. Simple 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.

Sections du résumé

BACKGROUND
Symptom 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.
METHODS
This 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.
RESULTS
The 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.
CONCLUSION
Simple 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.

Identifiants

pubmed: 36693053
doi: 10.1371/journal.pone.0278465
pii: PONE-D-22-02204
pmc: PMC9873161
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0278465

Informations de copyright

Copyright: © 2023 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Ann Rheum Dis. 1986 Mar;45(3):198-209
pubmed: 3954469
Res Social Adm Pharm. 2014 Sep-Oct;10(5):720-30
pubmed: 24355379
J Esthet Restor Dent. 2017 Apr;29(2):E15-E23
pubmed: 28185440
BMJ Open. 2017 Jun 6;7(5):e015016
pubmed: 28592577
BMC Med Inform Decis Mak. 2014 Aug 26;14:77
pubmed: 25158762
J Cancer Educ. 2019 Feb;34(1):3-8
pubmed: 29139070
Indian J Physiol Pharmacol. 2010 Oct-Dec;54(4):366-70
pubmed: 21675035
J Med Internet Res. 2015 Feb 12;17(2):e26
pubmed: 25679446
CA Cancer J Clin. 2012 Sep-Oct;62(5):337-47
pubmed: 22811342
J Clin Oncol. 2015 Mar 10;33(8):910-5
pubmed: 25624439
Patient Educ Couns. 2006 May;61(2):173-90
pubmed: 16122896
JMIR Diabetes. 2017 Aug 07;2(2):e19
pubmed: 30291092
Qual Life Res. 2016 Mar;25(3):595-604
pubmed: 26353905
Pain Med. 2019 Oct 1;20(10):1955-1962
pubmed: 30649442
AIDS Care. 2014;26(11):1400-6
pubmed: 24975116
Patient Educ Couns. 2004 Mar;52(3):333-9
pubmed: 14998604
J Clin Oncol. 2008 Aug 10;26(23):3903-10
pubmed: 18688059
Patient Educ Couns. 2015 Feb;98(2):226-33
pubmed: 25468391
Health Commun. 2017 Nov;32(11):1385-1395
pubmed: 27739882
J Biomed Inform. 2016 Apr;60:243-51
pubmed: 26903153
Cancer Nurs. 2015 Jan-Feb;38(1):E29-54
pubmed: 24831042
CA Cancer J Clin. 2021 May;71(3):209-249
pubmed: 33538338
J Am Med Inform Assoc. 2016 Jan;23(1):38-47
pubmed: 26260247
BMC Genomics. 2015 Apr 01;16:256
pubmed: 25887412
J Pain Symptom Manage. 2009 May;37(5):823-30
pubmed: 18804946
J Phys Ther Sci. 2017 Jul;29(7):1247-1249
pubmed: 28744057
JMIR Mhealth Uhealth. 2014 Aug 13;2(3):e33
pubmed: 25119490
JCO Oncol Pract. 2020 Sep;16(9):541-542
pubmed: 32484724
J Clin Oncol. 2016 Feb 20;34(6):557-65
pubmed: 26644527
J Diabetes Sci Technol. 2013 Jul 01;7(4):970-8
pubmed: 23911178
Med Decis Making. 2012 Jul-Aug;32(4):532-44
pubmed: 22074912
J Res Med Sci. 2017 Aug 16;22:101
pubmed: 28900457
Interact J Med Res. 2013 Jul 22;2(2):e13
pubmed: 23876796
J Dent Anesth Pain Med. 2017 Dec;17(4):253-263
pubmed: 29349347
Acad Emerg Med. 2010 Jan;17(1):50-4
pubmed: 20003121
Comput Biol Med. 2018 Oct 1;101:120-127
pubmed: 30130638
JAMA Oncol. 2015 Nov;1(8):1051-9
pubmed: 26270597
PLoS One. 2015 Jan 26;10(1):e0117034
pubmed: 25622031
Patient Educ Couns. 2017 Jun;100(6):1073-1082
pubmed: 28174067
Qual Life Res. 2020 Feb;29(2):325-333
pubmed: 31691202
Patient Educ Couns. 2017 May;100(5):966-973
pubmed: 28043712
J Am Geriatr Soc. 2019 May;67(5):998-1004
pubmed: 30848838
Support Care Cancer. 2014 Apr;22(4):1089-96
pubmed: 24292095
Ann Emerg Med. 2013 Apr;61(4):427-437.e5
pubmed: 23290526
Surgery. 2014 May;155(5):789-96
pubmed: 24787105
J Opt Soc Am A Opt Image Sci Vis. 2018 Apr 1;35(4):B1-B10
pubmed: 29603932
Acta Psychol (Amst). 2014 May;148:96-106
pubmed: 24508611
J Exp Psychol Gen. 2007 Feb;136(1):154-68
pubmed: 17324089
Patient Educ Couns. 2011 Dec;85(3):508-15
pubmed: 21306856
Appetite. 2012 Apr;58(2):699-702
pubmed: 22245725

Auteurs

Mangyeong Lee (M)

Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.
Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.

Danbee Kang (D)

Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.
Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.

Yeongrae Joi (Y)

Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.

Junghee Yoon (J)

Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.

Youngha Kim (Y)

Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.

Jinhwang Kim (J)

Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.

Minwoong Kang (M)

Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.

Dongryul Oh (D)

Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Soo-Yong Shin (SY)

Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.

Juhee Cho (J)

Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea.
Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.
Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH