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Can We Systematically Review Studies That Evaluate Complex Interventions

TLDR
In three Viewpoints, Sasha Shepperd and colleagues, Geoff Wong, and Aziz Sheikh explore various approaches to help systematic reviewers who wish to review complex health interventions.
Abstract
Background to the debate The UK Medical Research Council defines complex interventions as those comprising “a number of separate elements which seem essential to the proper functioning of the interventions although the ‘active ingredient’ of the intervention that is effective is difficult to specify.” A typical example is specialist care on a stroke unit, which involves a wide range of health professionals delivering a variety of treatments. Michelle Campbell and colleagues have argued that there are “specific difficulties in defining, developing, documenting, and reproducing complex interventions that are subject to more variation than a drug” [10]. These difficulties are one of the reasons why it is challenging for researchers to systematically review complex interventions and synthesize data from separate studies. This PLoS Medicine Debate considers the challenges facing systematic reviewers and suggests several ways of addressing them.

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Psychological therapies for the management of chronic pain (excluding headache) in adults

TL;DR: Overall there is an absence of evidence for behaviour therapy, except a small improvement in mood immediately following treatment when compared with an active control, and benefits of CBT emerged almost entirely from comparisons with treatment as usual/waiting list, not with active controls.
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The impact of eHealth on the quality and safety of health care: a systematic overview.

TL;DR: The findings of their systematic overview that assessed the impact of eHealth solutions on the quality and safety of health care are reported.
Journal Article

Evidence-based Policy: A Realist Perspective

Denis Anthony
- 01 Mar 2007 - 
TL;DR: This book will be essential reading for all those who loved (or loathed) the arguments developed in Realistic Evaluation and offers a complete blueprint for research synthesis, supported by detailed illustrations and worked examples from across the policy waterfront.
Journal ArticleDOI

Synthesizing information systems knowledge: A typology of literature reviews

TL;DR: A typology of review types is developed and descriptive insight into the most common reviews found in top IS journals is provided to encourage researchers who start a review to use the typology to position their contribution.
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Midwifery and quality care: findings from a new evidence-informed framework for maternal and newborn care

TL;DR: A system-level shift from maternal and newborn care focused on identification and treatment of pathology for the minority to skilled care for all is supported, which includes preventive and supportive care that works to strengthen women's capabilities in the context of respectful relationships.
References
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Journal ArticleDOI

Developing and evaluating complex interventions: The new Medical Research Council guidance

TL;DR: The Medical Research Council's evaluation framework (2000) brought welcome clarity to the task and now the council has updated its guidance.
Book

Users' Guides to the Medical Literature

TL;DR: Without a way of critically appraising the information they receive, clinicians are relatively helpless in deciding what new information to learn and decide how to modify their practice.
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Framework for design and evaluation of complex interventions to improve health

TL;DR: The design and execution of research required to address the additional problems resulting from evaluation of complex interventions, those “made up of various interconnecting parts,” are examined.
Journal ArticleDOI

Realist review - a new method of systematic review designed for complex policy interventions

TL;DR: A model of research synthesis designed to work with complex social interventions or programmes, and which is based on the emerging ‘realist’ approach to evaluation is offered, to enable decision-makers to reach a deeper understanding of the intervention and how it can be made to work most effectively.
Journal ArticleDOI

Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement.

TL;DR: Transparent Reporting of Evaluations with Nonrandomized Designs (TREND) as discussed by the authors is a set of guidelines for transparent reporting of randomized clinical trials that emphasize the reporting of theories used and descriptions of intervention and comparison conditions, research design, and methods of adjusting for possible biases in evaluation studies that use nonrandomized designs.
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