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A pre-hospital mixed methods systematic review protocol
Tegwyn McManamny1, Marishona Ortega2, Scott Munro3
1Ambulance Victoria; Monash University ORCID iD: https://orcid.org/0000-0001-6512-0191.
Introduction:
Mixed methods research, a methodology entailing the integration of qualitative and quantitative data within a single study, offers researchers the ability to investigate complex processes and systems in health and healthcare. The collective strength gained through the data combination can provide an enhanced understanding of research problems, providing an ideal solution to understanding complex clinical issues in a range of settings. In pre-hospital practice, where often uncontrollable variables and environmental considerations increase healthcare complexity, mixed methods has emerged as a valuable approach to research.
Aims:
Given the exponential growth of pre-hospital mixed methods research since the publication of our first systematic review in 2014, we aim to provide an update. Our review will explore how mixed methods is utilised in pre-hospital research and identify what standards of reporting are achieved.
Methods:
This systematic review update will search MEDLINE, CINAHL Complete, Embase and Scopus bibliographic databases from 1 January 2012 to 15 March 2023, using an updated pre-hospital search strategy. Study screening will be performed in duplicate. Articles reported in English, explicitly stating the use of 'mixed methods' in the pre-hospital ambulance setting, including helicopter emergency medical services and community first-responder services, will be included. Data related to underpinning philosophy or theoretical framework, rationale for utilising mixed methods, background of the corresponding author, mode of data integration, model of publication and adherence to reporting standards, utilising the good reporting of a mixed methods study (GRAMMS) guidelines, will be extracted and analysed. All extracted data from study articles will be summarised in a table, allowing analysis of included studies against specified criteria.
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