Successful development and testing of a Method for Aggregating the Reporting of Interventions in Complex Studies (MATRICS)

Hayley A. Hutchings*, Kymberley Thorne, Gabi S. Jerzembek, Wai Yee Cheung, David Cohen, Dharmaraj Durai, Frances L. Rapport, Anne C. Seagrove, John G. Williams, Ian T. Russell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Objectives To develop a tool for the accurate reporting and aggregation of findings from each of the multiple methods used in a complex evaluation in an unbiased way. Study Design and Setting We developed a Method for Aggregating The Reporting of Interventions in Complex Studies (MATRICS) within a gastroenterology study [Evaluating New Innovations in (the delivery and organisation of) Gastrointestinal (GI) endoscopy services by the NHS Modernisation Agency (ENIGMA)]. We subsequently tested it on a different gastroenterology trial [Multi-Institutional Nurse Endoscopy Trial (MINuET)]. We created three layers to define the effects, methods, and findings from ENIGMA. We assigned numbers to each effect in layer 1 and letters to each method in layer 2. We used an alphanumeric code based on layers 1 and 2 to every finding in layer 3 to link the aims, methods, and findings. We illustrated analogous findings by assigning more than one alphanumeric code to a finding. We also showed that more than one effect or method could report the same finding. We presented contradictory findings by listing them in adjacent rows of the MATRICS. Results MATRICS was useful for the effective synthesis and presentation of findings of the multiple methods from ENIGMA. We subsequently successfully tested it by applying it to the MINuET trial. Conclusion MATRICS is effective for synthesizing the findings of complex, multiple-method studies.

Original languageEnglish
Pages (from-to)193-198
Number of pages6
JournalJournal of Clinical Epidemiology
Publication statusPublished - 1 Jan 2016
Externally publishedYes


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