Evidence map›Paper›PMID 40351846›Full record

ArticleDigital health

Success by design: A holistic analysis of design principles for depression apps.

Oliver Werth, Irene Jankowski, Nina S Müller, Fenja Schulte, Paula Warnemünde-Jagau, Michael H Breitner, Annika Herr, Kai G Kahl

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Oliver WerthOFFIS e. V. - Institute for Information Technology, Oldenburg, Germany.ORCID https://orcid.org/0000-0002-6767-5905
Irene JankowskiDepartment of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany.
Nina S MüllerInformation Systems Institute, Leibniz University Hannover, Hanover, Germany.
Fenja SchulteInformation Systems Institute, Leibniz University Hannover, Hanover, Germany.
Paula Warnemünde-JagauInstitute for Health Economics, Leibniz University Hannover, Hanover, Germany.
Michael H BreitnerInformation Systems Institute, Leibniz University Hannover, Hanover, Germany.ORCID https://orcid.org/0000-0001-7315-3022
Annika HerrInstitute for Health Economics, Leibniz University Hannover, Hanover, Germany.ORCID https://orcid.org/0000-0001-5479-0093
Kai G KahlDepartment of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany.ORCID https://orcid.org/0000-0002-8530-0605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Depression is a major challenge for many people and societies, also accelerated by the COVID-19 pandemic. Around 300 million people worldwide are affected by a depressive disorder. Health insurances encourage patients to use applications ("apps") to tackle, for example, mild and moderate depression. The advantages of these depression apps are well understood, but their dissemination and adoption rates among intended users leave room for improvement. To enhance their uptake, we provide a holistic view regarding critical design aspects of depression apps and develop design principles (DPs) for depression apps. Methods: We use a qualitative approach with 58 semistructured interviews between March 2021 and August 2022 with different stakeholders (healthcare providers, patients with mild and moderate depression, app developers and operators, and health insurance companies) to derive our DPs to provide a holistic view of the crucial design factors of depression apps. We then evaluated our DPs derived from four individuals from the health sector in terms of appropriateness and completeness. Results: Following this approach, we examine seven meta-requirements (MRs) like "quality" and "simplicity" to deduce 16 corresponding DPs for depression apps. Our prescriptive design knowledge enables us to carve out interrelations and contributes to the literature on depression app design knowledge. Generally, our MRs and DPs derived were evaluated positively. Conclusions: Our research ignites a structured discussion among stakeholders in the healthcare sector, for example, scientists and practitioners, about the importance of specific design aspects of depression apps and the overall development process from planning to dissemination.

Indexed as

applicationsDepressiondesign principlesqualitative researchstakeholderssuccess

Identifiers

PMID40351846
PMCPMC12062696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.