Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review

Heidel, Alexandra; Hagist, Christian

doi:10.2196/16444

Cited by 45 publications

(29 citation statements)

References 62 publications

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“…For example, Germany has implemented a tracking program based on smartwatches, which uses pulse and temperature. It transmits the resulting data to areas of health bases for further analysis (Heidel et. al.…”

Section: Mobile Applications and Helping To Solve The Covid-19 Crisismentioning

confidence: 99%

The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic

Sharifi

Ahmadi

Ala

2021

Environ Sci Pollut Res

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The SARS-CoV-2 virus caused crises in social, economic, and energy areas and medical life worldwide throughout 2020. This crisis had many direct and indirect effects on all areas of society. In the meantime, the digital and artificial intelligence industry can be used as a professional assistant to manage and control the outbreak of the virus. The present article's objective is to investigate the effects of COVID-19 on each of the various fields of medicine, industry, and energy. What sets this article apart is studying the impact of artificial intelligence and digital style on reducing the damage of this fatal virus. Energy and related industries are of the areas affected by the SARS-CoV-2 virus. The most exciting approach in this article is to encourage countries with economies based on non-renewable energy to develop solar and wind energies. Renewable energies can operate well in the event of another phenomenon such as COVID-19 and reduce the virus's destructive effects and lead to economic prosperity.

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Section: Mobile Applications and Helping To Solve The Covid-19 Crisismentioning

confidence: 99%

The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic

Sharifi

Ahmadi

Ala

2021

Environ Sci Pollut Res

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“…Since fall 2020, the Digital Healthcare Act allows for the prescription of certified health apps in Germany (Gerke et al, 2020). Yet, many concerns persist among health professionals, especially regarding data security (Heidel and Hagist, 2020). Future studies on acceptance-facilitating interventions could therefore focus on balancing information on the benefits (safety, effectiveness) with contraindications of quality-approved mental health apps.…”

Section: Rq3: Mediation Effectsmentioning

confidence: 99%

Investigating the Persuasive Effects of Testimonials on the Acceptance of Digital Stress Management Trainings Among University Students and Underlying Mechanisms: A Randomized Controlled Trial

et al. 2021

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Objective: This experiment aims to investigate the influence of narrative information varying in the degree of perceived similarity and source credibility in supplemented testimonials on the acceptance of digital mental health services (digi-MHSs).Methods: In fall 2020, n=231 university students were randomly assigned to an active control group (aCG, n=55, “information only”) or one of three intervention groups (IGs) receiving information plus different testimonials being presented either by nonacademic staff (IG1, n=60), university students (IG2, n=58) or experts (IG3, n=58). We assessed mediation effects of similarity and credibility on acceptance in terms of attitudes and usage intentions.Results: Exposure to testimonials was associated with higher usage intentions (d=0.50) and more positive attitudes toward digi-MHSs (d=0.32) compared to mere information (aCG). Regarding source-related effects, one-way ANOVA showed group differences in intentions (ηp2=0.13) that were significantly higher after exposure to testimonials targeted at students than in the other groups after adjusting for baseline intentions (ηp2=0.24). Concerning underlying mechanisms, there were full mediation effects of similarity (IG1 versus IG2) on attitudes [95%CI (0.030, 0.441)] and intentions to use digi-MHSs [95%CI (0.100, 0.528)] and of credibility on attitudes [IG2 versus IG3; 95%CI (−0.217, −0.004)], all favoring students’ testimonials.Conclusion: Overall, this study indicates that the acceptance of digi-MHSs can be substantially increased by providing a simple, context-sensitive information intervention, including testimonials by university students. Since we identified mediating effects of credibility on cognitive attitudes and similarity on affect-driven intentions, a future trial could vary these features using narrative versus statistic information on digi-MHSs.

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“…We conducted a scoping review, which can be found in a previous study [25], to decide on attributes and levels. Additionally, we used purposeful sampling for this study to identify the current state of experimental studies on the monetary value of health data [26].…”

Section: Attributes and Attribute Levelsmentioning

confidence: 99%

Pricing through health apps generated data—Digital dividend as a game changer: Discrete choice experiment

2021

Self Cite

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Objectives The objective of this paper is to study under which circumstances wearable and health app users would accept a compensation payment, namely a digital dividend, to share their self-tracked health data. Methods We conducted a discrete choice experiment alternative, a separated adaptive dual response. We chose this approach to reduce extreme response behavior, considering the emotionally-charged topic of health data sales, and to measure willingness to accept. Previous experiments in lab settings led to demands for high monetary compensation. After a first online survey and two pre-studies, we validated four attributes for the final online study: monthly bonus payment, stakeholder handling the data (e.g., health insurer, pharmaceutical or medical device companies, universities), type of data, and data sales to third parties. We used a random utility framework to evaluate individual choice preferences. To test the expected prices of the main study for robustness, we assigned respondents randomly to one of two identical questionnaires with varying price ranges. Results Over a period of three weeks, 842 respondents participated in the main survey, and 272 respondents participated in the second survey. The participants considered transparency about data processing and no further data sales to third parties as very important to the decision to share data with different stakeholders, as well as adequate monetary compensation. Price expectations resulting from the experiment were high; pharmaceutical and medical device companies would have to pay an average digital dividend of 237.30€/month for patient generated health data of all types. We also observed an anchor effect, which means that people formed price expectations during the process and not ex ante. We found a bimodal distribution between relatively low price expectations and relatively high price expectations, which shows that personal data selling is a divisive societal issue. However, the results indicate that a digital dividend could be an accepted economic incentive system to gather large-scale, self-tracked data for research and development purposes. After the COVID-19 crisis, price expectations might change due to public sensitization to the need for big data research on patient generated health data. Conclusion A continuing success of existing data donation models is highly unlikely. The health care sector needs to develop transparency and trust in data processing. An adequate digital dividend could be an effective long-term measure to convince a diverse and large group of people to share high-quality, continuous data for research purposes.

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Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review

Cited by 45 publications

References 62 publications

The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic

The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic

Investigating the Persuasive Effects of Testimonials on the Acceptance of Digital Stress Management Trainings Among University Students and Underlying Mechanisms: A Randomized Controlled Trial

Pricing through health apps generated data—Digital dividend as a game changer: Discrete choice experiment

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