Evidence map›Paper›PMID 38441959›Full record

Trial reportJMIR human factors2024

Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking.

Carolin Anders, Preetha Moorthy, Laura Svensson, Julia Müller, Oliver Heinze, Petra Knaup, Markus Wallwiener, Thomas M Deutsch, Thao-Vy Le, Lina Weinert

Open access · goldAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Carolin Anders *Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-3963-1064
Preetha Moorthy *Department of Biomedical Informatics at the Center for Preventive Medicine and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0001-5269-5287
Laura SvenssonInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-9179-5253
Julia MüllerInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-8139-8687
Oliver HeinzeInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-6294-941X
Petra KnaupInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-1104-0628
Markus WallwienerDepartment of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-4139-9340
Thomas M DeutschDepartment of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-0621-1290
Thao-Vy LeDepartment of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0009-0005-1922-2900
Lina WeinertInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-2733-1267
Heidelberg University · DEUniversity of Mannheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly identification of quality of life (QoL) loss and side effects is a key challenge in breast cancer therapy. Digital tools can be helpful components of therapeutic support. Enable, a smartphone app, was used in a multicenter, prospective randomized controlled trial in 3 breast cancer centers. The app simultaneously serves as a therapy companion (eg, by displaying appointments), a tool for documenting QoL (eg, by enabling data collection for QoL questionnaires), and documentation of patient-reported side effects. The need for digital tools is continually rising. However, evidence of the effects of long-term use of mobile health (mHealth) apps in aftercare for patients with breast cancer is limited. Therefore, evaluating the usability and understanding the user experience of this mHealth app could potentially contribute valuable insights in this field.

objectiveA usability study was conducted to explore how patients with breast cancer receiving neoadjuvant, adjuvant, or palliative outpatient treatment rated their engagement with the app , the user experience, and the benefits of using the app.

methodsA mixed methods approach was chosen to combine subjective and objective measures, including an eye-tracking procedure, a standardized usability questionnaire (mHealth App Usability Questionnaire), and semistructured interviews. Participants were surveyed twice during the study period. Interviews were transcribed verbatim and analyzed using thematic analysis. Analysis of the eye-tracking data was carried out using the tracker-integrated software. Descriptive analysis was conducted for the quantitative data.

resultsThe mHealth App Usability Questionnaire results (n=105) indicated good overall usability for 2 different time points (4 wk: mean 89.15, SD 9.65; 20 wk: mean 85.57, SD 12.88). The qualitative analysis of the eye-tracking recordings (n=10) and interviews (n=16) showed that users found the Enable app easy to use. The design of the app, information about therapies and side effects, and usefulness of the app as a therapy companion were rated positively. Additionally, participants contributed requests for additional app features and suggestions for improving the content and usability of the app. Relevant themes included optimization of the appointment feature, updating the app's content regularly, and self-administration. In contrast to the app's current passive method of operation, participants expressed a desire for more active engagement through messaging, alarms, or emails.

conclusionsThe results of this study demonstrate the good usability of the Enable app as well as the potential for further development. We concluded from patients' feedback and requests that mHealth apps could benefit from giving patients a more active role (eg, being able to actively document side effects as they occur). Additionally, regular updates of app content could further contribute to encouraging continued use of mHealth apps. Our findings may also assist other researchers in tailoring their mHealth apps to the actual needs of patients undergoing breast cancer therapy.

Indexed as

Breast NeoplasmsMobile ApplicationsEye-Tracking TechnologyFemaleHumansOutpatientsProspective StudiesQuality of Lifebreast cancereye trackingmHealthmixed methodsmobile healthmobile phoneusabilityuser interface

Identifiers

PMID38441959
PMCPMC10951836
OpenAlexW4389856564

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.