Dataset Handle: 20.500.14123/1740

Supplementary Material for the Paper "Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms"

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Chronological data

Date of availability in catalog2025-01-22
Available from / since 2025-01-22

Language of the resource

English

Related external resources

Supplement to DOI: 10.3389/fdgth.2023.1170002
Hornstein, S., Zantvoort, K., Lueken, U., Funk, B., & Hilbert, K. (2023). Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms. Frontiers in Digital Health, 5, Artikel 1170002.

Related PubData resources

Abstract

Personalization is a much-discussed approach to improve adherence and outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open, such as (1) what personalization is, (2) how prevalent it is in practice, and (3) what benefits it truly has. The researchers address this gap by performing a systematic literature review identifying all empirical studies on DMHIs targeting depressive symptoms in adults from 2015 to September 2022. The search in Pubmed, SCOPUS and Psycinfo led to the inclusion of 138 articles, describing 94 distinct DMHIs provided to an overall sample of approximately 24,300 individuals.

Resource type

Dataset

Kinds of Data

Statistical Evaluations / Tables
Context Materials / Supporting information

Methods

Summary
Analysis of digital content

Thematic classification

Digital Health

Keywords

Systematic Review; Forschungsliteratur; Digitale Gesundheit; Mentale Gesundheit; Intervention; Depression; Systematic Review; Research Literature; Digital Health; Mental Health; Intervention; Depression

Notes

The supplementary material is available for download. Please visit the linked article to gain access. You will find a link for supplementary material in the data record.

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Time Period of the Collection of the Data

Time Period of the Creation of the Dataset

2015 - 2022

Temporal Coverage of the Dataset

Geolocation (Country)

Geolocation (Region/Location)