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https://hdl.handle.net/20.500.14123/1740
| Original Title | Supplementary Material for the Paper "Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms" |
| Handle | 20.500.14123/1740 |
| Kinds of Data | Statistical Evaluations / Tables Context Materials / Supporting information |
| Resource Type | Dataset |
| Creator | Hornstein, Silvan  0000-0002-0398-7096 (Humboldt-Universität zu Berlin  01hcx6992)Zantvoort, Kirsten 0000-0001-9876-054X (Institut für Wirtschaftsinformatik (IIS), Leuphana Universität Lüneburg 02w2y2t16)Lueken, Ulrike 0000-0003-1564-4012 (Humboldt-Universität zu Berlin 01hcx6992)Funk, Burkhardt 0000-0001-5855-2666 (Institut für Wirtschaftsinformatik (IIS), Leuphana Universität Lüneburg 02w2y2t16)Hilbert, Kevin 0000-0002-7986-4113 (Humboldt-Universität zu Berlin 01hcx6992) |
| Description of the Dataset | 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. |
| Methods | Summary Analysis of digital content |
| Keywords | Systematic Review; Forschungsliteratur; Digitale Gesundheit; Mentale Gesundheit; Intervention; Depression; Systematic Review; Research Literature; Digital Health; Mental Health; Intervention; Depression |
| Thematic Classification | Digital Health |
| 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. |
| Published by | Medien- und Informationszentrum, Leuphana Universität Lüneburg |
| Superordinate Data Collection | |
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