[Scientific evidence and user quality in mobile health applications for people with cognitive impairments and their caregivers]

INTRODUCTION

The range of health-related apps is large, but the scientific evidence for them is uncertain. The aim of this study is to evaluate the methodological quality of German-language mobile health apps for people with dementia and their caregivers.

METHODS

The app search was conducted according to the PRISMA-P guidelines in the application stores (Google Play Store and Apple App Store) using the terms "Demenz", "Alzheimer", "Kognition" and "Kognitive Beeinträchtigung". A systematic literature search with subsequent assessment of the scientific evidence was performed. The user quality assessment was conducted using "The German Version of the Mobile App Rating Scale" (MARS-G).

RESULTS

Scientific studies have been published for only 6 of the 20 apps identified. A total of 13 studies were included in the evaluation, whereby the app itself was the subject of investigation in only two publications. In addition, methodological weaknesses were often observed such as small group sizes, short study duration and / or insufficient comparative treatment. The overall quality of the apps can be rated as acceptable with a mean MARS rating of 3.38. Seven apps were able to achieve a score of over 4.0 and thus a good rating, but just as many apps fell below the acceptable limit of 3.0.

DISCUSSION

The contents of most apps have not been scientifically tested. This identified lack of evidence is consistent with the information in the literature in other indication areas. A systematic and transparent evaluation of health applications is necessary to protect end-users and better support their selection process.

The Dementia Assessment of Service Needs (DEMAND): Development and Validation of a Standardized Needs Assessment Instrument

Background:

Dementia is one of the main triggers for care dependency among older adults who are predominantly cared for at home by relatives. To provide support in the care situation, health systems need valid information about the central needs of the affected people.

Objective:

The present study aimed to develop a research instrument to assess the most important needs of people with dementia and their family caregivers.

Methods:

The development of the ‘Dementia Assessment of Service Needs (DEMAND)’ took place within the project ‘Digital Dementia Registry Bavaria (digiDEM Bayern)’. A focus group and an online survey with dementia experts were conducted to identify the most relevant support services and to develop the design of the instrument. The questionnaire was deployed in the digiDEM baseline data collection. Participants were asked to evaluate the comprehensibility of the questionnaire. Readability was assessed using the Flesch reading ease score.

Results:

Seventeen experts participated in the focus group and 59 people in the online survey. The final questionnaire included 13 support services. One hundred eighty-three participants (50 people with dementia and 133 family caregivers) completed the questionnaire at baseline. The mean comprehensibility score was 3.6 (SD = 2.3). The Flesch reading ease score result was 76.

Conclusion:

A research instrument could be developed, enabling people with dementia and family caregivers to directly express their individual needs for specific support services. Results show that the DEMAND is easy to understand and short in execution. Therefore, supply gaps can be identified and transformed into a specific health care plan.

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

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.

Designing and Implementing an IT Architecture for a Digital Multicenter Dementia Registry: digiDEM Bayern

Background  Registries are an essential research tool to investigate the long-term course of diseases and their impact on the affected. The project digiDEM Bayern will set up a prospective dementia registry to collect long-term data of people with dementia and their caregivers in Bavaria (Germany) supported by more than 300 research partners.

Objective  The objective of this article is to outline an information technology (IT) architecture for the integration of a registry and comprehensive participant management in a dementia study. Measures to ensure high data quality, study governance, along with data privacy, and security are to be included in the architecture.

Methods  The architecture was developed based on an iterative, stakeholder-oriented process. The development was inspired by the Twin Peaks Model that focuses on the codevelopment of requirements and architecture. We gradually moved from a general to a detailed understanding of both the requirements and design through a series of iterations. The experience learned from the pilot phase was integrated into a further iterative process of continuous improvement of the architecture.

Results  The infrastructure provides a standardized workflow to support the electronic data collection and trace each participant's study process. Therefore, the implementation consists of three systems: (1) electronic data capture system for Web-based or offline app-based data collection; (2) participant management system for the administration of the identity data of participants and research partners as well as of the overall study governance process; and (3) videoconferencing software for conducting interviews online. First experiences in the pilot phase have proven the feasibility of the framework.

Conclusion  This article outlines an IT architecture to integrate a registry and participant management in a dementia research project. The framework was discussed and developed with the involvement of numerous stakeholders. Due to its adaptability of used software systems, a transfer to other projects should be easily possible.

Digital Dementia Registry Bavaria-digiDEM Bayern: study protocol for a multicentre, prospective, longitudinal register study

INTRODUCTION

Dementia is one of the most relevant widespread diseases, with a prevalence of currently 50 million people with dementia worldwide. The care of people with dementia will be one of the major challenges for healthcare systems worldwide. Digitalisation offers new possibilities to improve both dementia healthcare and health outcomes research as a fundament for national healthcare planning. The 'Digital Dementia Registry Bavaria-digiDEM Bayern' aims to improve the understanding of the complexity and long-term progression of dementia and the current care situation in Bavaria. Moreover, by offering digital services, digiDEM will actively contribute to improving the care situation in Bavaria. METHODS AND ANALYSIS: digiDEM will recruit people with dementia and their family caregivers in all administrative regions of Bavaria. All participants will undergo dementia screening prior to study inclusion in order to identify people with mild cognitive impairment and mild-to-moderate dementia. Participants will be followed up over a period of three years. Sociodemographic data, type of dementia, symptoms, diagnosis, cognitive trajectories, activities of daily living, behavioural and psychological symptoms, falls, resource utilisation, caregiver burden, quality of life, needs of people with dementia and their caregivers, mobility, use of media and sources of information will be assessed. The project will implement a digital web-based platform for data collection. Data will be collected by means of standardised online or face-to-face interviews.

ETHICS AND DISSEMINATION

The study obtained ethical approval from the Ethics Committee of the Medical Faculty of Friedrich-Alexander-University Erlangen-Nürnberg (FAU) (application number: 253_20 B). Findings will be used for evidence-based decision-making for health decision-makers in order to optimise dementia healthcare in the state of Bavaria. Specific analyses will be conducted for the participating research partners. Results of the study will be published in peer-reviewed journals.