Translating systematic searches in the APA PsycInfo database from Ovid to EBSCOhost: A tutorial based on a filter...

Area of Science:

• Information Science
• Health Sciences
• Library Science

Background:

• Systematic search filters are expert-designed strategies for specific databases and interfaces.
• Existing filters are often unusable across different platforms without complex translation.
• Filter translation requires expertise in information retrieval and database-specific functionalities.

Purpose of the Study:

• To guide the translation of a specific search filter from one interface to another.
• To provide a framework for understanding and executing search filter translation projects.
• To address challenges and offer solutions for maintaining search sensitivity during translation.

Main Methods:

• A systematic search filter for Randomized Controlled Trials/Clinical Controlled Trials (RCT/CCT) was translated.
• The translation process moved a filter from the APA PsycInfo database on the Wolters Kluwer Health Ovid interface to the EBSCO Information Services EBSCOhost interface.
• The methodology involved a stepwise approach, detailing information retrieval concepts and technical strategies for cross-interface application.

Main Results:

• The study presents a detailed guide for translating search filters between different database interfaces.
• It highlights the complexities involved, including understanding indexing and search functionality.
• Potential challenges impacting search sensitivity are discussed with mitigation strategies.

Conclusions:

• Search filter translation is a feasible but intricate process requiring specialized knowledge.
• A systematic, step-by-step approach can facilitate successful translation between platforms like Ovid and EBSCOhost.
• Collaboration with information specialists is recommended for researchers lacking expertise in information retrieval or specific database interfaces.