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  4. Modification and validation of an mHealth app quality assessment methodology for international use: cross sectional and eDelphi studies
 
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Modification and validation of an mHealth app quality assessment methodology for international use: cross sectional and eDelphi studies
File(s)
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Published version
Author(s)
Woulfe, Fionn
Fadahunsi, Philip
O'Grady, Michael
Chirambo, Griphen
Mawkin, Mala
more
Type
Journal Article
Abstract
Background:

Over 325,000 mobile health (mHealth) applications (apps) are available to download across various app stores. Quality assurance in this field of medicine remains relatively undefined, however. Globally around 84% of the population have access to mobile broadband networks. Given the potential for mHealth app use in health promotion and disease prevention, their role in medicine world-wide is ever apparent. Quality assurance regulations both nationally and internationally will take time to develop. Frameworks such as the Mobile App Rating Scale (MARS) and Enlight Suite have demonstrated potential for use in the interim. These frameworks require adaptation to be suitable for use in Low and Middle-Income Countries (LMIC) however.

Objective:

1) Modify the Enlight Suite, an mHealth app quality assessment methodology, to improve its applicability internationally, and 2) to assess the preliminary validity and reliability of this modified tool in practice.

Methods:

A two-round Delphi study involving 7 mHealth experts with varied backgrounds in medicine, health and technology was conducted to modify and adapt the Enlight Suite for international use as well as to improve its content validity. The Modified Enlight suite (MES) was then used by 800 healthcare professionals and healthcare students to assess a COVID-19 tracker app in an online survey form. The reliability of the MES was assessed using the Cronbach alpha while the construct validity was evaluated using the confirmatory factor analysis.

Results:

The final version of the MES has 7 sections with 32 evaluating items. Of these items, 5 were novel and based on consensus for inclusion by Delphi panel members. The MES has a satisfactory reliability with an internal consistency Cronbach alpha score of 0.925. The sub-scales also demonstrate acceptable internal consistency. Similarly, the confirmatory factor analysis demonstrates a positive and significant factor loading for all of the 32 items in the MES with a modestly acceptable model fit: thus, indicating the construct validity of the MES.

Conclusions:

Despite increasing use, access, and reliance on mHealth apps internationally, previous studies have failed to identify a quality assessment methodology which included factors known to hinder the use and uptake of apps in LMICs. This study indicates both the validity and initial reliability of the MES for assessing the quality of mHealth apps internationally. Further reliability assessments are required in LMICs to extrapolate these findings to seek its true potential.
Date Issued
2022-08-19
Date Acceptance
2022-07-11
Citation
JMIR Formative Research, 2022, 6 (8), pp.1-10
URI
http://hdl.handle.net/10044/1/98405
URL
https://preprints.jmir.org/preprint/36912/accepted
DOI
https://www.dx.doi.org/10.2196/36912
ISSN
2561-326X
Publisher
JMIR Publications
Start Page
1
End Page
10
Journal / Book Title
JMIR Formative Research
Volume
6
Issue
8
Copyright Statement
©Fionn Woulfe, Kayode Philip Fadahunsi, Michael O'Grady, Griphin Baxter Chirambo, Mala Mawkin, Azeem Majeed, Simon
Smith, Patrick Henn, John O'Donoghue. Originally published in JMIR Formative Research (https://formative.jmir.org), 19.08.2022.
This is an open-access article distributed under the terms of the Creative Commons Attribution License
(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information,
a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
License URL
http://creativecommons.org/licenses/by/4.0/
Identifier
https://preprints.jmir.org/preprint/36912/accepted
Subjects
app
evaluation tool
international mHealth
mHealth
mobile health
smartphone app
Publication Status
Published
Date Publish Online
2022-08-19
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