Evidence map›Paper›PMID 39657173›Full record

ArticleJMIR research protocols2024

mHealth Apps in German Outpatient Mental Health Care: Protocol for a Mixed Methods Approach.

Klemens Höfer, Felix Plescher, Sarah Schlierenkamp, Stefanie Solar, Silke Neusser, Udo Schneider, Dieter Best, Jürgen Wasem, Carina Abels, Anna Bußmann

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
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

10 authors.

Klemens HöferInstitute for Healthcare Management and Research, University of Duisburg-Essen, Essen, Germany.ORCID 0009-0009-5028-9184
Felix PlescherInstitute for Healthcare Management and Research, University of Duisburg-Essen, Essen, Germany.ORCID 0009-0008-1739-9931
Sarah SchlierenkampEssener Forschungsinstitut für Medizinmanagement GmbH, Essen, Germany.ORCID 0009-0008-9297-9020
Stefanie SolarEssener Forschungsinstitut für Medizinmanagement GmbH, Essen, Germany.ORCID 0009-0003-9551-3115
Silke NeusserEssener Forschungsinstitut für Medizinmanagement GmbH, Essen, Germany.ORCID 0000-0001-9077-7005
Udo SchneiderTechniker Krankenkasse, Hamburg, Germany.ORCID 0000-0001-7079-4721
Dieter BestDeutsche PsychotherapeutenVereinigung e.V., Berlin, Germany.ORCID 0009-0008-5777-2251
Jürgen WasemInstitute for Healthcare Management and Research, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0001-9653-168X
Carina Abels *Institute for Healthcare Management and Research, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-2138-2944
Anna Bußmann *Essener Forschungsinstitut für Medizinmanagement GmbH, Essen, Germany.ORCID 0000-0002-9827-9083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental disorders are complex diseases that affect 28% (about 17.8 million people) of the adult population in Germany annually. Since 2020, certain mobile health (mHealth) apps, so-called digital health applications (DiGA), are reimbursable in the German statutory health insurance system. A total of 27 of the 56 currently available DiGA are approved for the treatment of mental and behavioral diseases. An indicator of existing problems hindering the use of DiGA is the rather hesitant prescribing behavior.

objectiveThis project aims to develop health policy recommendations for the optimal integration of DiGA into outpatient psychotherapeutic care. The project is funded by the Innovation Fund of the Joint Federal Committee (grant 01VSF22029). The current status quo of the use of DiGA will be analyzed. Furthermore, concepts for the integration of mHealth apps, as well as their transfer into the care process will be investigated. In addition, barriers will be identified, and existing expectations of different perspectives captured.

methodsThe project will be based on a mixed methods approach. A scoping review and a qualitative analysis of focus groups and expert interviews will be carried out. Additionally, an analysis of claims data of the statutory health insurance will be conducted. This will be followed by a written survey of insured persons and health care providers. Finally, health policy recommendations will be derived in cooperation with stakeholders.

resultsThe scoping reviews and qualitative analyses have been completed, and the quantitative surveys are currently being carried out. The target number of responses in the survey of insured persons has already been achieved. Furthermore, the analysis claims data of the statutory health insurance is currently being conducted.

conclusionsThere is a need for research on how DiGA can be optimally integrated into the care process of patients with mental disorders as evidence regarding the topic is limited and prescribing behavior low. Although the potential of DiGA in mental health care has not yet fully unfolded, Germany serves as a model for other countries regarding reimbursable mHealth apps. This project aims to explore the potentials of DiGA and to describe the organizational, institutional, and procedural steps necessary for them to best support mental health care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56205.

Indexed as

Mental Health ServicesMobile ApplicationsTelemedicineAmbulatory CareGermanyHumansMental DisordersScoping Reviews as TopicadultsappapplicationsDigitale Gesundheitsanwendungendigital healthdigital health applicationsGermanyhealth care researchmental disordersmental healthmental health caremHealthmobile health appsoutpatienttreatment

Identifiers

PMID39657173
PMCPMC11668980

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Registered trials

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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.