Evidence map›Paper›PMID 39326043›Full record

ArticleJMIR formative research2024

Designing Survey-Based Mobile Interfaces for Rural Patients With Cancer Using Apple's ResearchKit and CareKit: Usability Study.

Alyssa Donawa, Christian Powell, Rong Wang, Ming-Yuan Chih, Reema Patel, Ralph Zinner, Eliah Aronoff-Spencer, Corey E Baker

Abstract read
In one paragraph

Article in JMIR formative research, 2024. 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. Article
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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

8 authors.

Alyssa DonawaMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-4598-4440
Christian PowellDepartment of Computer Science, University of Kentucky, Lexington, KY, United States.ORCID 0000-0002-4242-080X
Rong WangDepartment of Human and Organizational Development, Vanderbilt University, Nashville, TN, United States.ORCID 0000-0002-2307-709X
Ming-Yuan ChihDepartment of Health and Clinical Sciences, University of Kentucky, Lexington, KY, United States.ORCID 0000-0001-7130-1415
Reema PatelDivision of Medical Oncology, Markey Cancer Center, University of Kentucky, Lexington, KY, United States.ORCID 0000-0001-8650-6122
Ralph ZinnerDivision of Medical Oncology, Markey Cancer Center, University of Kentucky, Lexington, KY, United States.ORCID 0009-0009-6812-5540
Eliah Aronoff-SpencerDivision of Infectious Diseases & Global Public Health, School of Medicine, University of California San Diego, San Diego, CA, United States.ORCID 0000-0002-6279-5027
Corey E BakerMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0003-4803-2530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the increased accessibility and availability of technology in recent years, equality and access to health-related technology remain limited to some demographics. In particular, patients who are older or from rural communities represent a large segment of people who are currently underusing mobile health (mHealth) solutions. System usability continues to hinder mHealth adoption among users with nontraditional digital literacy.

objectiveThis study aims to investigate if state-of-the-art mobile app interfaces from open-source libraries provide sufficient usability for rural patients with cancer, with minimal design changes and forgoing the co-design process.

methodsWe developed Assuage (Network Reconnaissance Lab) as a research platform for any mHealth study. We conducted a pilot study using Assuage to assess the usability of 4 mobile user interfaces (UIs) based on open-source libraries from Apple's ResearchKit and CareKit. These UIs varied in complexity for reporting distress symptoms. Patients with cancer were recruited at the Markey Cancer Center, and all research procedures were conducted in person. Participants completed the distress assessment using a randomly selected UI in Assuage with little to no assistance. Data were collected on participant age, location, mobile app use, and familiarity with mHealth apps. Participants rated usability with the System Usability Scale (SUS), and usability issues were documented and compared. A one-way ANOVA was used to compare the effect of the UIs on the SUS scores.

resultsWe recruited 30 current or postsurgery patients with cancer for this pilot study. Most participants were aged >50 years (24/30, 80%), from rural areas (25/30, 83%), had up to a high school education (19/30, 63%), and were unfamiliar with mHealth apps (21/30, 70%). General mobile app use was split, with 43% (14/30) of the patients not regularly using mobile apps. The mean SUS score across the UIs was 75.8 (SD 22.2), with UI 3 and UI 4 achieving an SUS score ≥80, meeting the industry standard for good usability of 80. Critical usability issues were related to data input and navigation with touch devices, such as scale-format questions, vertical scrolling, and traversing multiple screens.

conclusionsThe findings from this study show that most patients with cancer (20/30, 67%) who participated in this study rated the different interfaces of Assuage as above-average usability (SUS score >68). This suggests that Apple's ResearchKit and CareKit libraries can provide usable UIs for older and rural users with minimal interface alterations. When resources are limited, the design stage can be simplified by omitting the co-design process while preserving suitable usability for users with nontraditional technical proficiency. Usability comparable to industry standards can be achieved by considering heuristics for interface and electronic survey design, specifically how to segment and navigate surveys, present important interface elements, and signal gestural interactions.

Indexed as

Mobile ApplicationsNeoplasmsRural PopulationTelemedicineAdultAgedFemaleHumansMaleMiddle AgedPilot ProjectsSurveys and QuestionnairesUser-Computer InterfaceappsCareKitdigital dividedigital literacydistressehealth adoptionehealth literacyHealthKitmHealthmobile healthpatients with cancerrural healthusabilityusability testing

Identifiers

PMID39326043
PMCPMC11467601

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.