One of our recent PhD graduates Matthew Bennion has recently had this paper published, read the abstract and more below!
Abstract
Objective To document the quality of web and smartphone apps
used and recommended for stress, anxiety or depression by examining the manner
in which they were developed.
Design The study was conducted using a survey sent to
developers of National Health Service (NHS) e-therapies.
Data sources Data were collected via a survey sent out to NHS
e-therapy developers during October 2015 and review of development company
websites during October 2015.
Data collection/extraction methods Data were compiled from responses to the survey and
development company websites of the NHS e-therapies developers.
Results A total of 36 (76.6%) out of the 48 app developers
responded. One app was excluded due to its contact details and developer
website being unidentifiable. Data from the missing 10 was determined from the
app developer’s website. The results were that 12 out of 13 web apps and 20 out
of 34 smartphone apps had clinical involvement in their development. Nine out
of 13 web apps and nine out of 34 smartphone apps indicated academic
involvement in their development. Twelve out of 13 web apps and nine out of 34
smartphone apps indicated published research evidence relating to their app.
Ten out of 13 web apps and 10 out of 34 smartphone apps indicated having other
evidence relating to their app. Nine out of 13 web apps and 19 out of 34
smartphone apps indicated having a psychological approach or theory behind
their app.
Conclusions As an increasing number of developers are looking to
produce e-therapies for the NHS it is essential they apply clinical and
academic best practices to ensure the creation of safe and effective apps.
Read the article in full here: https://informatics.bmj.com/content/26/1/e100027
This is an open access article
distributed in accordance with the Creative Commons Attribution Non Commercial
(CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build
upon this work non-commercially, and license their derivative works on
different terms, provided the original work is properly cited, appropriate
credit is given, any changes made indicated, and the use is non-commercial.
See: http://creativecommons.org/licenses/by-nc/4.0/
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