Rapid review on the incentives of digital health apps for physicians and psychotherapists: A German perspective.

Objective: The Digital Healthcare Act introduced the prescription of digital health applications under specific circumstances in 2019 in Germany. They are funded through the social security system. In market access of prescribed digital health applications, Germany is pioneering the market. There remains a gap in understanding the views of medical professionals on the incentives of using these applications. As prescription of digital health applications starts emerging in other European countries, we sought to generate an overview of incentives and barriers that affect the caregivers in their decision of promoting and prescribing them in Germany. Methods: A Rapid Review of the Web of Science database for the years 2017-2023 was performed using sensitive search strings. Two reviewers conducted a three-phase selection via title, abstract and full-text independently from each other. The quality of studies was assessed systematically by both reviewers. Both quantitative and qualitative studies with primary data were included, and study quality was assessed using a standardised form. Results: Out of 1643 initial results, 12 studies with information from 9302 physicians and psychotherapists were identified. Eight quantitative and four qualitative studies were included in the analysis. Key findings suggest that while between 40% and 60% of caregivers see relevant incentives mainly based on patients' benefits, 20-40% see relevant barriers. For the physicians' daily work, there were slightly more barriers than incentives identified in the quantitative synthesis. The qualitative studies revealed no relevant incentives that were not attributed to patients. Conclusion: While digital health solutions offer promising avenues for enhancing patient care, their acceptance among healthcare professionals hinges on addressing prevailing concerns. Continuous research and dialogues with the medical community are pivotal to harness the full potential of digital health applications in healthcare.

I feel good! Gender differences and reporting heterogeneity in self-assessed health.

For empirical analysis and policy-oriented recommendations, the precise measurement of individual health or well-being is essential. The difficulty is that the answer may depend on individual reporting behaviour. Moreover, if an individual's health perception varies with certain attitudes of the respondent, reporting heterogeneity may lead to index or cut-point shifts of the health distribution, causing estimation problems. An index shift is a parallel shift in the thresholds of the underlying distribution of health categories. In contrast, a cut-point shift means that the relative position of the thresholds changes, implying different response behaviour. Our paper aims to detect how socioeconomic determinants and health experiences influence the individual valuation of health. We analyse the reporting behaviour of individuals on their self-assessed health status, a five-point categorical variable. Using German panel data, we control for observed heterogeneity in the categorical health variable as well as unobserved individual heterogeneity in the panel estimation. In the empirical analysis, we find strong evidence for cut-point shifts. Our estimation results show different impacts of socioeconomic and health-related variables on the five categories of self-assessed health. Moreover, the answering behaviour varies between female and male respondents, pointing to gender-specific perception and assessment of health. Hence, in case of reporting heterogeneity, using self-assessed measures in empirical studies may be misleading and the information needs to be handled with care.