![]() ![]() The aim of the eMERGe project was to develop a guideline to improve the way researchers report meta-ethnographies. To ensure that evidence from meta-ethnographies is used, researchers must carry out quality meta-ethnographies and report them to a high standard, but there is no tailored guideline to help researchers do this. Thus, meta-synthesis is a construction of a construction, or a meta-construction and (3) all constructions are shaped by the historical. The pooled estimate is the outcome of the meta-analysis, and is typically explained using a forest plot (Figs. They also define concepts from the outset (although this may not always be true in scoping or rapid reviews) and deal with a well-specified phenomenon of interest. ![]() This can lead to lack of trust in meta-ethnography findings (which could be of great benefit) meaning that they are not used to improve decisions, services and patient care. What is the overall effect, on average What, if anything, explains variation in the impact of a particular programme or approach Meta-analysis gives us this. A meta-analysis is a quantitative review, in which the clinical effectiveness is evaluated by calculating the weighted pooled estimate for the interventions in at least two separate studies. Low-quality reporting means that people, such as patients, NHS staff and managers, cannot judge the quality and thoroughness of a meta-ethnography. However, the reporting quality of published meta-ethnographies varies and is often poor, especially researchers’ descriptions of what they did to arrive at their findings. people’s experiences of having and being treated for arthritis) to come up with new insights and conclusions.įindings from high-quality meta-ethnographies have been used in clinical guidelines. Despite the contingent nature of evidence gleaned from meta-synthesis and current lack of consensus about some of its aspects, meta-Synthesis is an. Meta-ethnography is a respected, thorough qualitative synthesis method in which researchers select, analyse and interpret qualitative studies to answer focused questions on a specific topic (e.g. ![]()
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