Systematic Review Toolbox

Here is a complete guide for librarians seeking to launch or refine their systematic review services. Conducting searches for systematic reviews goes beyond expert searching and requires an understanding of the entire process of the systematic review. Just as expert searching is not fully mastered by the end of a library degree, mastering the systematic review process takes a great deal of time and practice. Attending workshops and webinars can introduce the topic, but application of the knowledge through practice is required. Running a systematic review service is complicated and requires constant updating and evaluation with new standards, more efficient methods, and improved reporting guidelines.

The systematic review is a rigorous method of collating and synthesizing evidence from multiple studies, producing a whole greater than the sum of parts. This textbook is an authoritative and accessible guide to an activity that is often found overwhelming. The authors steer readers on a logical, sequential path through the process, taking account of the different needs of researchers, students and practitioners. Practical guidance is provided on the fundamentals of systematic reviewing and also on advanced techniques such as meta-analysis. Examples are given in each chapter, with a succinct glossary to support the text.

Building on the strength of previous versions, the fourth edition is fully revised to include updated content based on more than a decade of the model's use, refinement in real-life settings, and feedback from nurses and other healthcare professionals around the world

Describes the principles and practice of systematic reviews, meta-analysis, and evidence-based medicine.
Explains the methodology of systematic review and meta-analysis of randomised, non-randomised, diagnostic test accuracy, and animal studies, as well as individual participant data meta-analysis and network meta-analysis.

Systematic reviews study the findings of research already undertaken. They provide a reliable account of the state of current knowledge (the evidence base) on an issue by appraising and synthesizing the results of "existing research using explicit, accountable rigorous research methods". Systematic reviews developed out of a need to use research findings to help inform policy, practice, and individual decision-making and further research. To use research findings, we need to know what these findings are. What is the current evidence base? What do we know from research and how do we know it? Clarity of what is already known from research is thus the starting point for both using research findings and for planning new research.

ch4ck availability
Whether you are new to literature reviews or working with new types of data, this book takes the guesswork out of writing your literature review. From deciding how much literature to include to managing your data, assessing your sources, and writing results, it outlines a step-by-step process that works with any data. To help you choose best approach for your research, this book includes: Worksheets and decision aids to help you plan and organise your literature review -- Worked examples and case studies to show you what [and what not] to do in practice -- Troubleshooting tips and answers to all your frequently asked questions -- Online access to a literature review starter template, an exercise workbook, project diary template, and a source credibility checklist. The perfect project support for any social sciences student, this edition also includes a new chapter on analysing mixed methods research.

ch4ck availability of 2022 3rd edition in print
2017 online edition
This text provides top-tier guidance for DNP students, graduate faculty, APRNs and other healthcare providers on how to use available research for improving patient outcomes and reducing costs.

17 minutes
Joel Gagnier, Associate Professor in the department of Orthopedic Surgery and Epidemiology at the University of Michigan, discusses basic principles and types of systematic reviews, using data extraction tables, effect size, fixed and random effects, and using a forest plot.