Openly accessible

Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework for health app use of cancer patients and their caregivers: framework development study

Heynsbergh, Natalie, Chul (Eric), Seung O and Livingston, Patricia M 2020, Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework for health app use of cancer patients and their caregivers: framework development study, JMIR cancer, vol. 6, no. 2, Jul-Dec, pp. 1-10, doi: 10.2196/18230.

Attached Files
Name Description MIMEType Size Downloads

Title Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework for health app use of cancer patients and their caregivers: framework development study
Author(s) Heynsbergh, NatalieORCID iD for Heynsbergh, Natalie orcid.org/0000-0002-1847-6862
Chul (Eric), Seung O
Livingston, Patricia MORCID iD for Livingston, Patricia M orcid.org/0000-0001-6616-3839
Journal name JMIR cancer
Volume number 6
Issue number 2
Season Jul-Dec
Article ID e18230
Start page 1
End page 10
Total pages 10
Publisher JMIR publications
Place of publication Toronto, Ont.
Publication date 2020
ISSN 2369-1999
2369-1999
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Oncology
multimedia
user engagement
cancer
smartphone
framework
usage data
eHealth technology
e-intervention
data analysis
efficiency
e-research
apps
Summary Background Multimedia interventions can provide a cost-effective solution to public health needs; however, user engagement is low. Multimedia use within specific populations such as those affected by cancer differs from that of the general population. To our knowledge, there are no frameworks on how to accurately assess usage within this population to ensure that interventions are appropriate for the end users. Therefore, a framework was developed to improve the accuracy of determining data usage. Formative work included creating a data usage framework during target audience testing for smartphone app development and analysis in a pilot study. Objective The purpose of this study was to develop a framework for assessing smartphone app usage among people living with cancer and their caregivers. Methods The frequency and duration of use were compared based on manual data extraction from two previous studies and the newly developed Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework. Results Manual extraction demonstrated that 279 logins occurred compared with 241 when the ADUCI Framework was applied. The frequency of use in each section of the app also decreased when the ADUCI Framework was used. The total duration of use was 91,256 seconds (25.3 hours) compared with 53,074 seconds (14.7 hours) when using the ADUCI Framework. The ADUCI Framework identified 38 logins with no navigation, and there were 15 discrepancies in the data where time on a specific page of the app exceeded the login time. Practice recommendations to improve user engagement and capturing usage data include tracking data use in external websites, having a login function on apps, creating a five-star page rating functionality, using the ADUCI Framework to thoroughly clean usage data, and validating the Framework between expected and observed use. Conclusions Applying the ADUCI Framework may eliminate errors and allow for more accurate analysis of usage data in e-research projects. The Framework can also improve the process of capturing usage data by providing a guide for usage data analysis to facilitate evidence-based assessment of user engagement with apps.
Language eng
DOI 10.2196/18230
Indigenous content off
Field of Research 1110 Nursing
1112 Oncology and Carcinogenesis
1117 Public Health and Health Services
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143147

Document type: Journal Article
Collections: Faculty of Health
School of Nursing and Midwifery
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 21 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 24 Sep 2020, 13:30:49 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.