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

    Abstract

    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
    Volume69
    Early online date29 Aug 2015
    DOIs
    Publication statusPublished - Jan 2016

    Bibliographical note

    -Supplementary data: available on the journal webpage.

    Keywords

    • complex interventions
    • data reporting
    • evaluation methods
    • evaluation studies as topic
    • multiple methods
    • research design

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