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Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

A mixed-methods approach to systematic reviews.

Alan Pearson¹, Heath White, Fiona Bath-Hextall

¹1The Joanna Briggs Institute, University of Adelaide, Adelaide, South Australia, Australia 2The University of Nottingham Centre for Evidence Based Nursing and Midwifery: A JBI Collaborating Centre, University of Nottingham, Nottingham, England, UK 3The Northeast Institute for Evidence Synthesis and Translation (NEST): A JBI Collaborating Centre, Rutgers, The State University of New Jersey, New Jersey, USA 4Portugal Centre for Evidence Based Practice: A JBI Affiliate Centre, Escola Superior de Enfermagem de Coimbra, Coimbra, Portugal 5The Scottish Centre for Evidence-Based Multi-professional Practice: A JBI Collaborating Centre, Robert Gordon University, Aberdeen, Scotland, UK.

International Journal of Evidence-Based Healthcare

|July 22, 2015

Summary

This summary is machine-generated.

Mixed-methods systematic reviews integrate diverse evidence, simplifying decision-making for policymakers and practitioners. This approach synthesizes quantitative and qualitative data for clearer, actionable insights.

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Area of Science:

Evidence Synthesis
Health Research Methodology

Background:

Increasing number of single-method systematic reviews complicates evidence interpretation for decision-makers.
Policy makers and practitioners face challenges in identifying actionable guidance from numerous topic-specific syntheses.

Purpose of the Study:

To address the challenge of synthesizing diverse evidence for policy and practice.
To present a methodology for mixed-methods systematic reviews.

Main Methods:

Adoption of a segregated approach to mixed-methods synthesis, involving separate syntheses of each component method.
Utilizing a Bayesian approach to translate quantitative synthesis findings into qualitative themes.
Pooling translated quantitative findings with initial qualitative synthesis findings.

Main Results:

Mixed-methods systematic reviews offer a structured approach to integrate different evidence types.
The segregated approach allows for distinct analysis of quantitative and qualitative data.
Bayesian methods facilitate the translation and integration of quantitative results into qualitative themes.

Conclusions:

Mixed-methods systematic reviews enhance the relevance and utility of synthesized evidence for policy and practice.
This methodology provides a robust framework for addressing complex research questions.
The approach facilitates clearer decision-making by consolidating varied evidence streams.