ROBIS Matters for Research
Systematic reviews
powerful instruments used in evidence-based research
synthesizing results from many investigations to create comprehensive understandings on certain subjects.
techniques
Their results could become deceitful and detrimentally affect public policy decisions as well as health-related ones.
employed
By focusing on potential bias within the review process itself, ROBIS allows users to judge how it was carried out rather than simply considering its contents
analysing
Among its notable characteristics: Robis considers all elements of bias within a review process rather than solely one aspect,
This application simplifies review evaluation
evaluation by breaking it into manageable stages.
ROBIS can adapt easily
Clinical evaluations and systematic reviews to literature searches and expert consultations.
Robis was created with ease of use in mind and offers researchers of any background an efficient
straightforward tool
No expert knowledge in bias assessment is needed in order to use Robis.
Provides quality control checks to individuals conducting systematic reviews.
IT serves
Ensure the evaluation process is objective and results can be trusted; discovering any bias will assist writers with strengthening the dependability and legitimacy of their works.
Robis allows editors and reviewers from journals
Articles prior to being published – this ensures only those evaluations which meet rigorous fairness and objectivity criteria are published for public consumption.
Decision Makers Systematic reviews provide policymakers, doctors and other decision-makers a tool for informing their actions and decision making processes. Robis allows these decision-makers to assess a review’s reliability prior to applying its recommendations to policies or operations they manage.
Systematic reviews have the potential for bias due to many different sources, which includes preferences.
Conflict of Interest between writers or reviewers or any opacity in how review process was carried out could alter results negatively.
Selection bias occurs when research studies are selected or excluded based on subjective criteria, distorting the total range of available data.
ROBIS can detect bias by analysing key phases in review processes.
Step one of evaluating eligibility criteria. Review choices made about which studies to include and exclude. Were inclusion and exclusion rules clearly laid out, or did some pertinent studies remain ineligible due to bias
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