# Insights from search summary tables for evidence and gap maps: a case study on peer support interventions

## TL;DR

This paper explores how to effectively search for evidence on peer support interventions using different databases and methods.

## Contribution

The study introduces and evaluates search summary tables for improving evidence synthesis methods in evidence and gap maps.

## Key findings

- MEDLINE and PsycINFO were key databases for identifying peer support interventions.
- CENTRAL and CINAHL added value for specific study types.
- Forward citation searching was more effective for finding randomized controlled trials.

## Abstract

Evidence and Gap Maps (EGMs) are a visual representation of the available evidence relevant to a specific research question or topic area. They are produced using similar methods to systematic reviews, however, there is little guidance on which databases to search and how many. Information Specialists need to make decisions on which resources to search, often for a range of study designs within a broad topic area to ensure comprehensiveness.

This case study presents two search summary tables (SSTs) from an evidence and gap map on peer support interventions. The first search summary table presents the findings of the search for systematic reviews and the second for randomised controlled trials. Different databases and different searches were undertaken for the two different study types.

The two SSTs indicated that MEDLINE and PsycINFO were key databases required for the identification of both systematic reviews and randomised controlled trials of peer support interventions, with the addition of CINAHL for systematic reviews, and CENTRAL for randomised controlled trials. For both study types, forward citation searching found additional included studies although it was more lucrative for identifying additional randomised controlled trials. Search summary tables are a simple way to share the effectiveness of the search methods chosen for a specific evidence synthesis project. The more SSTs we have, the more data we will have to inform evidence-based decisions on our search methods.