Cited by 16Mobile Health and mHealth ApplicationsCystic Fibrosis Research AdvancesTelemedicine and Telehealth Implementation

High usability of a smartphone application for reporting symptoms in adults with cystic fibrosis

Wood, Jamie, Jenkins, Sue, Putrino, David, Mulrennan, Siobhain, Morey, Sue, Cecins, Nola, Hill, Kylie·2018·Journal of Telemedicine and Telecare

Abstract

Introduction In cystic fibrosis, exacerbations impair lung function and health-related quality of life, increase healthcare costs and reduce survival. Delayed reporting of worsening symptoms can result in more severe exacerbations and worse clinical outcomes; therefore there is a need for a novel approach to facilitate the early identification and treatment of exacerbations in this population. This study investigated the usability of a smartphone application to report symptoms in adults with cystic fibrosis, and the observer agreement in clinical decision-making between senior clinicians interpreting smartphone application responses. Methods Adults with cystic fibrosis used the smartphone application weekly for four weeks. The application comprised 10 yes/no questions regarding respiratory symptoms and two regarding emotional well-being. Usability was measured with the System Usability Scale; Observer agreement was tested by providing a cystic fibrosis physician and a nurse practitioner with 45 clinical scenarios. For each scenario the clinicians, who were blinded to each other's responses, were asked to indicate whether or not they would: (i) initiate telephone contact, and/or (ii) request a clinic visit for the individual. Results Ten participants (five female), aged mean (SD) 33 (11) years, FEV1 49 (27)% predicted completed the study. The mean (SD) System Usability Scale score was 94 (6). There was perfect agreement between clinicians for initiating contact with the participant ( κ = 1.0, p < 0.001), and near-perfect for requesting a clinic visit ( κ = 0.86, p < 0.001). Discussion The use of a smartphone application for reporting symptoms in adults with cystic fibrosis has excellent usability and near-perfect agreement between senior clinicians when interpreting the application responses.

Integrity signals

Registry

Crossref · 10.1177/1357633x17723366

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 24 · Cited by 16

Authors
Wood, J., Jenkins, S., Putrino, D., Mulrennan, S., Morey, S., Cecins, N., & Hill, K.
Affiliations
  • Curtin University (AU)
  • Burke Medical Research Institute (US)
  • Sir Charles Gairdner Hospital (AU)
Corresponding author
Wood, Jamie
Venue
Journal of Telemedicine and Telecare
Published
2017-08-11
Volume
24
Issue
8
Pages
547-552
ISSN
  • 1357-633X (ISSN-L)
  • 1758-1109
OpenAlex
W2743657366
Cited by
16
References
24
Citations by year
2025: 1 · 2024: 2 · 2023: 2 · 2021: 1 · 2020: 1 · 2019: 5 · 2018: 3 · 2017: 1
FWCI
4.41
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Telemedicine and Telecare (publishedVersion)
  • PubMed (publishedVersion)
  • eSpace (Curtin University) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cystic Fibrosis Research Advances
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
Keywords
cystic fibrosis, mobile application, symptom reporting, usability, exacerbation detection, early intervention, clinician agreement, clinical decision-making, respiratory symptoms, emotional well-being, telemedicine
MeSH terms
Smartphone, Adult, Communication, Cystic Fibrosis, Female, Humans, Male, Quality of Life, Software, Telemedicine, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review