ArticleHealthcare (Basel, Switzerland)2022
Digital Health Interventions in Depression Care-A Survey on Acceptance from the Perspective of Patients, Their Relatives and Health Professionals.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Digital Mindfulness Intervention for Pregnant Women With Affective Disorders and Acute Stress Reactions: Prespecified Secondary Analysis of a Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Implementation Factors of Digital Health Interventions in Depression Care-The Perspective of Health Professionals.Healthcare (Basel, Switzerland) · 2025Article
- Attitudes Towards Digital Health Interventions in Germany: Findings From a Population-Based Representative Survey.Clinical psychology in Europe · 2025Article
- [Telemedical Interventions in Ambulant Psychotherapeutic Practices: Online Survey of Psychotherapists and Patients in Germany on the use of Digital Interventions in Psychotherapy].Psychiatrische Praxis · 2025Article
- Health Literacy Promotion and Digital Interventions for Depressive Disorders.Health literacy research and practice · 2024Article
- Prospective Acceptability of Digital Therapy for Major Depressive Disorder in France: Multicentric Real-Life Study.JMIR formative research · 2024Article
- A qualitative interview study of patients' attitudes towards and intention to use digital interventions for depressive disorders on prescription.Frontiers in digital health · 2024Article
- Depression in Central and Eastern Europe: How Much It Costs? Cost of Depression in Romania.Healthcare (Basel, Switzerland) · 2023Article
- Rapid review on the incentives of digital health apps for physicians and psychotherapists: A German perspective.Digital healthReview
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Digital health interventions may contribute to closing the treatment gap for depression by reaching large populations at relatively low costs. This article presents the results of a broad, multisided German survey in 2020 on the acceptance and use of digital health interventions in depression care from the perspective of patients, their relatives, and health professionals. A total of 97 patients and relatives and 229 health professionals participated. Survey participants reported openness towards the use of digital health interventions in depression care but little knowledge and experience in the field. Digital health interventions appear to be a promising opportunity for reducing depressive symptoms and shortening waiting time for depression treatment, especially in rural areas. Providing information and technical competencies may increase awareness and knowledge about digital health interventions and the benefits of depression care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.