# General Practitioners’ Perspectives on Digital Health Applications for Mental Disorders and Their Prescribing Behavior: Mixed Methods Study

**Authors:** Sandy Scheibe, Sandra Salm, Karola Mergenthal, Deborah Engesser, Esther Stalujanis, Susanne Singer, Pascal Kemmerer, Lena Dotzauer, Karen Voigt

PMC · DOI: 10.2196/78659 · JMIR Mental Health · 2026-01-06

## TL;DR

This study explores how general practitioners in Germany view digital health apps for mental disorders and how often they prescribe them.

## Contribution

The study provides new insights into GPs' perspectives and prescribing behavior regarding digital health applications for mental disorders in Germany.

## Key findings

- GPs prescribe DHA-MD infrequently, with a median of 1 per quarter.
- Digitized practices are associated with higher prescription rates of DHA-MD.
- Barriers include lack of knowledge and difficulty integrating DHA-MD into care processes.

## Abstract

The high number of mental disorders poses challenges for health care systems. In 2020, digital health applications (DHAs) were introduced in Germany as a new form of health care financed by the statutory health insurance. They aim to detect, monitor, treat, or alleviate disease, injury, or disability. DHAs for mental disorders (DHA-MD) intend to improve outpatient care for patients with mental disorders. However, evidence on general practitioners’ (GPs’) perspectives on DHA-MD and their prescribing behavior is limited.

This study aimed to analyze GPs’ perspectives on DHA-MD and their prescribing behavior in the care of patients with mental disorders.

A mixed methods study was conducted (January-October 2024), including a Germany-wide online survey and qualitative interviews with GPs and medical assistants (MAs). Sampling was conducted in collaboration with German research practice networks, which distributed the study invitation to their affiliated GPs. The questionnaire as well as the interview guides for GPs and MAs was developed by the study team according to the Consolidated Framework for Implementation Research. Descriptive analyses of prescribing behavior and perceived need (measured on an 11-point scale) for DHA-MD were conducted, followed by multivariate regression analyses to identify predictors of prescribing behavior and perceived need for DHA-MD. The interviews with GPs and MAs were analyzed using qualitative content analysis according to Mayring.

A sample of 149 GPs participated, and 12 GPs as well as 5 MAs were interviewed. The median prescription frequency of DHA-MD per quarter was 1, whereas the median estimated need was 3. Working in a half digitized and half paper-based practice (odds ratio 5.133, 95% CI 1.695‐15.542) as well as working in a completely digitized practice (odds ratio 3.006, 95% CI 1.296‐6.969) positively predicted the prescribing behavior. The duration of GPs’ medical practice (b=−0.057; P=.01) negatively predicted the perceived need, while working in a group practice (b=0.980; P=.02) positively predicted the perceived need for DHA-MD. In the interviews, GPs and MAs reported that they valued DHA-MD as a temporary or supplementary option for bridging waiting times for psychotherapy and considered their effectiveness to be highly dependent on indication and patient adherence. Reported barriers of GPs according to DHA-MD included lacking knowledge about DHA-MD, missing effectiveness studies, and difficulties integrating them into existing care processes.

GPs are reluctant to prescribe DHA-MD, as the need is considered to be low and their use is primarily seen as a temporary or supplementary treatment option rather than a stand-alone intervention. There are significant reasons for rejection and barriers that hinder prescription in primary care. Addressing these barriers and involving GPs as well as patients in future research are essential for the development of DHA-MD.

## Full-text entities

- **Diseases:** Mental Disorders (MESH:D001523), DHA-MD (OMIM:603663)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

58 references — full list in the complete paper: https://tomesphere.com/paper/PMC12774394/full.md

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Source: https://tomesphere.com/paper/PMC12774394