Hostname: page-component-6d856f89d9-sp8b6 Total loading time: 0 Render date: 2024-07-16T08:59:13.818Z Has data issue: false hasContentIssue false
  • English
  • Français

Assessment of functionality and scientific evidence of mobile health applications (mHealth apps) for people with dementia and their caregivers

Published online by Cambridge University Press:  01 September 2022

M. Zeiler ,
C. Chmelirsch  and
P.L. Kolominsky-Rabas
M. Zeiler
Affiliation:
Department of Medical Informatics, Friedrich-alexander-university Erlangen-nürnberg, Erlangen, Germany
C. Chmelirsch
Affiliation:
Interdisciplinary Center for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-alexander-university Erlangen-nürnberg, Erlangen, Germany
P.L. Kolominsky-Rabas*
Affiliation:
Digital Dementia Registry Bavaria (digiDEM Bayern), Interdisciplinary Center for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-alexander-university Erlangen-nürnberg, Erlangen, Germany
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

There is a rapid increase in the use of mHealth apps to provide care and support to people with deminetia (pwd) and their caregivers.

Objectives

Functionality as well as scientific evidence of mHealth apps were analysed from a Health Technology Assessment (HTA) perspective

Methods

mHealth apps for pwd and their caregivers were identified in the app stores and assessed for functionality and methodological quality of the underlaying scientific evidence. Functionality was assessed with the Mobile App Rating Scale-German (MARS- G), methodological quality of studies using the Critical Appraisal Skills Program (CASP) checklists.

Results

A total of 20 mHealth apps for were identified via systematic search in the Apple App Store and the Google Play Store. The overall quality of the apps can be rated medium with a mean score of 3.38. Studies have been published for only 30% of the apps (n = 6). 13 studies were included in the assessment of methodological quality, but the app itself was the object of study in only 2 publications. In summary methodological weaknesses such as small group sizes, a short study duration and insufficient comparative therapy were frequent.

Conclusions

Our results demonstrate that the majority of apps is lacking reliable scientific evidence. To support pwd and caregivers as end users in their choice standardised HTA criteria has to be defined and applied for mHealth apps.

The Digital Dementia Registry Bavaria (digiDEM Bayern) is funded by the Bavarian Ministry of Health (No.: G42d-G8300-2017/1606-381).

PROSPERO Registration Number: CRD42021260309.

Disclosure

No significant relationships.

Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S169 - S170
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.