Usability and acceptability of four systematic review automation software packages : a mixed method design

AIM: New software packages help to improve the efficiency of conducting a systematic review through automation of key steps in the systematic review. The aim of this study was to gather qualitative data on the usability and acceptability of four systematic review automation software packages (Covidence, SRA-Helper for EndNote, Rayyan and RobotAnalyst) for the citation screening step of a systematic review.

METHODS: We recruited three volunteer systematic reviewers and asked them to use allocated software packages during citation screening. They then completed a 12-item online questionnaire which was tailored to capture data for the software packages used.

FINDINGS: All four software packages were reported to be easy or very easy to learn and use. SRA-Helper for EndNote was most favoured by participants for screening citations and Covidence for resolving conflicts. Overall, participants reported that SRA-Helper for EndNote would be their software package of choice, primarily due to its efficiency.

CONCLUSION: This study identified a number of considerations which systematic reviewers can use as a basis of their decision which software to use when performing the citation screening and dispute resolution steps of a systematic review.

Medienart:

E-Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Systematic reviews - 8(2019), 1 vom: 20. Juni, Seite 145

Sprache:

Englisch

Beteiligte Personen:

Cleo, Gina [VerfasserIn]
Scott, Anna Mae [VerfasserIn]
Islam, Farhana [VerfasserIn]
Julien, Blair [VerfasserIn]
Beller, Elaine [VerfasserIn]

Links:

Volltext

Themen:

Acceptability
Automation
Journal Article
Qualitative report
Research Support, Non-U.S. Gov't
Software packages
Systematic Review Accelerator
Usability

Anmerkungen:

Date Completed 27.07.2020

Date Revised 29.02.2024

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s13643-019-1069-6

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM298373033