Evidence map›Paper›PMID 40211379›Full record

ArticleTrials2025

Implementation of a digital nurse to improve the use of digital health applications (DiGA) for older people with depressive disorders (DiGA4Aged): a randomized proof of concept study.

Anna Mai, Magdalena Pape, Theresa Sophie Busse, Katharina Kunde, Jennifer Bosompem, Chantal Giehl, Ina Carola Otte, Stephan Herpertz, Georg Juckel, Ida Haussleiter and 4 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Anna MaiDepartment of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany. anna.mai@ruhr-uni-bochum.de.ORCID http://orcid.org/0000-0001-5600-8560
Magdalena PapeDepartment of Psychosomatic Medicine and Psychotherapy, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany.
Theresa Sophie BusseInstitute of General Practice and Family Medicine (AM RUB), Ruhr University Bochum, Bochum, Germany.
Katharina KundeInstitute of General Practice and Family Medicine (AM RUB), Ruhr University Bochum, Bochum, Germany.
Jennifer BosompemInstitute of General Practice and Family Medicine (AM RUB), Ruhr University Bochum, Bochum, Germany.
Chantal GiehlDepartment for Geriatric Medicine, Marien Hospital Herne, University Hospital Ruhr University Bochum, Herne, Germany.
Ina Carola OtteDepartment of Health Services Research, Institute for Diversity Medicine, Ruhr University Bochum, Bochum, Germany.
Stephan HerpertzDepartment of Psychosomatic Medicine and Psychotherapy, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany.
Georg JuckelDepartment of Psychiatry, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany.
Ida HaussleiterDepartment of Psychiatry, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany.
Rainer WirthDepartment for Geriatric Medicine, Marien Hospital Herne, University Hospital Ruhr University Bochum, Herne, Germany.
Horst Christian VollmarInstitute of General Practice and Family Medicine (AM RUB), Ruhr University Bochum, Bochum, Germany.
Nina TimmesfeldDepartment of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany.
Jan Dieris-HircheDepartment of Psychosomatic Medicine and Psychotherapy, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany.

Funding

Medizinische Fakultät, Ruhr-Universität Bochum IF-025-22
6 · The paper itself

Abstract

backgroundIn the face of extensive waiting times for outpatient psychotherapy, prescriptible digital health applications (DiGA) are a useful and effective addition to the range of available therapy options for patients with mild to moderate depression. However, older adults face a particular challenge in implementing DiGA since higher age is a decisive predictor of lower digital health literacy. The necessity of an independent use of the prescribed DiGA is therefore associated with challenges for older patients and providers. In practice, it is crucial not to leave patients, especially older adults, alone after prescribing, but to maintain close contact to overcome technical and motivational barriers and to ensure that the novel application is used. However, this is difficult for physicians and psychotherapists due to the critical healthcare system situation in Germany described above. Another support system is needed. Hence, the main hypothesis of this study is that the additional implementation of digital nurses leads to a higher percentage of older patients with depressive symptoms starting DiGA use compared to a prescription and information alone.

methodsTwo DiGA for mild to moderate depression in older patients were available and permanently approved at the time of the funding application. Using the most suitable one of them, as shown in a pilot study, the feasibility of implementation will be examined within a randomized proof of concept study. In our study, a digital nurse is trained to support patients with depression in using a DiGA. The main outcome is DiGA use (first session started: yes/no) after 8 weeks. Major secondary outcomes are patient-relevant outcomes, feasibility of recruitment and intervention, and factors moderating the effect or predicting DiGA use in the target group. Best practice guidelines will be elaborated on how to support and improve DiGA prescription and successful use in this population. DISCUSSION: In Germany, the approved DiGA are currently little used, especially by people with a low digital affinity. This proof of concept study will use the example of older people with depressive disorders to show whether it is possible to increase the usage rate of a DiGA with the support of a digital nurse so that a DiGA can become a serious therapy option.

trial registrationDRKS: DRKS00033535. Registered on February 2, 2024.

Indexed as

Depressive DisorderMobile ApplicationsTelemedicineAgedDigital HealthFemaleGermanyHealth LiteracyHumansMaleProof of Concept StudyRandomized Controlled Trials as TopicTreatment OutcomeAssistanceDepressionDigital healthDigital health applicationDigital nurseDigital therapyHealth literacymHealthOlder adultsSupport

Identifiers

PMID40211379
PMCPMC11983796

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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.