Search strategy for Digital Mental Health in LMICs
by Boruff, Jill / Borealis Harvested Dataverse·Updated 2y ago
Available on 1 platform
Sign in to view source links and access this dataset
Description
A full MEDLINE (Ovid), EMBASE (Ovid), PsycInfo (Ovid), CINAHL (EBSCO), and Cochrane Trials search strategy for digital mental health topics. The search strategies were conducted on May 26, 2022, and are provided by Jill Boruff via the Borealis Harvested Dataverse platform.
Use Cases
Replicate a systematic literature search based on the documented MEDLINE, EMBASE, PsycInfo, CINAHL, and Cochrane search strings.
Analyze search methodology for digital health topics like telehealth, mobile apps, wearables, and videoconferencing.
Build or validate search filters for mental health or mental illness research in bibliographic databases.
Study the structure and components of comprehensive search strategies for evidence synthesis.
Strengths
Contains the exact search strings from five major bibliographic databases (MEDLINE, EMBASE, PsycInfo, CINAHL, Cochrane).
Search execution date is explicitly stated as May 26, 2022.
Focuses on the specific intersection of digital health and mental health, with mentions of telehealth, mobile apps, wearables, and videoconferencing.
Limitations
Row count and file size are unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
The search strategy is from a single point in time (2022) and may not reflect the most current database syntax or terminology.
Provenance
Source
Borealis Harvested Dataverse
Collection Method
Search strategy compiled for a systematic review or similar research project.
Time Range
Search conducted on 2022-05 26.
Freshness
Last updated 2024-02-29 21:46:35; freshness should be verified.
Geography
Low- and middle-income countries (LMICs), as indicated by the title.
License is unknown; terms of use should be verified before application.