The number of qualitative studies published in the health professions education (HPE) literature has grown exponentially over the past few decades—as has the acceptance of this type of research as a credible form of inquiry. Therefore, HPE researchers require rigorous approaches to the synthesis of multiple qualitative studies to integrate findings and interpret their collective meaning. Qualitative synthesis methods, such as meta-ethnography, may lead to more effective forms of knowledge transfer and more refined approaches to medical education research and practice.Using meta-ethnography, researchers choose, analyze, and interpret qualitative studies to increase understanding of a phenomenon. The goal is to arrive at new insights and, possibly, conclusions on a topic. For example, recent meta-ethnographic research has been used to illuminate the range of intended and unintended consequences of accreditation for medical teachers and students,1 to theorize how foundation year and internship experiences shape physicians' career choices,2 and to develop a conceptual model of the barriers that international medical graduates face after migration.3With roots in education4 and well-established applications in health research,5-9 meta-ethnographic approaches have significant potential in the realm of HPE. Yet, with a few notable exceptions,10,11 this approach has not been widely used in our field. This article encourages HPE researchers to consider meta-ethnography and provides essential information about the foundations of the approach, strengths and limitations, and process considerations. Box 1 illustrates the Case of Dr. Smith, which continues throughout this special review series, considering the same question using different review methodologies.Synthesizing evidence from existing qualitative work is increasingly recognized as a powerful way to make sense of complex social phenomena. In HPE, qualitative insights can help decision-makers understand why certain educational policies are successful, why certain professionals behave in particular ways, or how diverse learners experience an educational innovation. Synthesizing quantitative evidence helps us understand if something works; however, synthesizing qualitative evidence helps us understand what things work and how, through descriptions of the complex and nuanced range of human experience.The field of HPE has adopted several approaches to qualitative evidence synthesis, each method underpinned by distinct goals and assumptions. For instance, meta-narrative research seeks to compare and contrast different ways researchers approach a topic over time12,13; meta-studies focus on interpreting qualitative research in light of differences in findings, methods, and theories14; and realist syntheses ask how and why complex interventions (both qualitative and quantitative) may or may not produce intended outcomes in different contexts.15Meta-ethnography distinguishes itself from these approaches in 3 distinct ways. First, meta-ethnography focuses only on qualitative data and social science phenomena; it does not draw from quantitative evidence. Second, it uses original interpretations from primary qualitative studies as data. Third, it seeks to interpret through analytic synthesis by translating the synthesized studies into new and unique insights about the social phenomena under study.The ultimate goal of meta-ethnography is to arrive at new interpretations that transcend the findings of individual studies. Noblit and Hare described this as “making a whole into something more than the parts alone imply.”4(p28) For example, Krishnasamy and colleagues used meta-ethnography to explore empathy (Table).11 Each study included in their review offered a unique explanation of how empathy is experienced in medical school. Using meta-ethnographic methods, Krishnasamy and colleagues were able to interpret these interpretations as a collective and reconceptualize empathy as something that is derived through the complex interplay between medical culture, role models, atmosphere, and time.11Meta-ethnography, then, is useful for researchers who seek to study the literature interpretively and for educators and policymakers who may be struggling to make sense of multiple (and often conflicting) studies. Most importantly, meta-ethnography is valuable to those seeking to go beyond single accounts to explore the analogies, patterns, and variations within qualitative findings. If rigorously conducted and reported, meta-ethnography can facilitate novel conceptual understandings of complex issues.As meta-ethnography is a method of synthesizing qualitative research, its roots are in the interpretivist paradigm within the social sciences. Through interviews, observations, and document analyses, qualitative studies aim to provide deep insights into the subjective experiences of patients, learners, and health care professionals, and the contexts within which they operate. Hence, meta-ethnographies, like qualitative studies, focus on how and what questions and seek to uncover meaning. They are designed to add in-depth, interpretive insights to questions, such as “How do students learn about empathy in HPE?” and “What is the role of facilitators in interprofessional education?”Meta-ethnography was introduced by Noblit and Hare in an “attempt to develop an inductive and interpretive form of knowledge synthesis.”4(p16) By inductive and interpretive, they meant research that explores social phenomena through the perspectives and experiences of the people involved in it. Many approaches to knowledge synthesis, such as systematic reviews, are oriented in the positivist paradigm. These positivist approaches generally assume that knowledge accumulates and, thus, their methods aim to derive causal relationships and generalizable conclusions based on the aggregation of data. Noblit and Hare argued that this may be ill-fitted to the synthesis of qualitative evidence. The authors demonstrated how aggregating findings from 5 ethnographic studies failed to offer novel insights into the phenomenon they were investigating.4 In response, Noblit and Hare proposed a synthesis approach that translates studies into each other and makes sense of the analogies and inconsistencies found within them.Meta-ethnography is now one of the most common qualitative synthesis approaches in health research16-19 and is increasingly common in education research.7 Within these fields there is growing recognition that high-quality meta-ethnographic work can be invaluable with respect to program design, development, and policy making (see the Table for examples).6,8,20,21High-quality meta-ethnographies are ideal for synthesizing information from multiple studies about people's experiences of a particular phenomenon. The approach of bringing together a range of qualitative studies allows for a more contextual and comprehensive exploration of an issue. Other strengths of meta-ethnographic methods for synthesis include that meta-ethnography has clear origins in the interpretive paradigm and is thus consistent with the studies it synthesizes; it can add breadth and depth to existing systematic reviews; and it may help to mitigate duplication in qualitative research.6,16,18 This synthesis approach also helps generate higher-level analysis, comprehensive theory, new models or frameworks, and new research questions beyond what can be found in the individual studies it synthesizes.The reporting quality of published meta-ethnographies is variable and sometimes poor. Recently, the eMERGe Reporting Guidelines collective has been working to develop guidelines to increase reporting quality.16 Challenges in detailing analytical processes are particularly apparent. Low-quality reporting makes it difficult to assess the quality and thoroughness of a meta-ethnographic review and leads to a lack of trust.Researchers engaging with meta-ethnography must recognize that meta-ethnography seeks to synthesize sometimes widely differing qualitative studies.20-24 Thus, in the process of interpreting interpretations, salient ideas or contextual nuances can be lost.20,24 Because meta-ethnography is a relatively new approach, debates and uncertainties remain around the best process, such as how to decide which studies to include or exclude, and the appropriate number of studies to include within a single review.18-20 Similarly, reporting guidelines for meta-ethnography are recent, and recommendations for good practices in design and implementation of meta-ethnographies are still in development.16 As meta-ethnography is limited to synthesizing qualitative evidence, other approaches may be more appropriate for researchers seeking to broadly map the literature on a topic. Finally, meta-ethnography does not offer immediate practical advice for medical educators, but rather frames new ways of considering the phenomenon at hand.Meta-ethnography is generally conceptualized as an iterative 7-phase process (see Box 2). While it is tempting to see these steps as distinct and chronological, in reality, phases 4 through 6 are often happening at the same time. Phase 1 describes the period of exploration in which researchers identify an appropriate topic “worthy of the synthesis effort.”4(p27) In phase 2, the researchers compile a list of potential studies and justify which to include based on criteria developed in relation to the focus of the synthesis. In phase 3, the researchers read each study multiple times; and in phase 4, they relate studies with one another and create lists that help make sense of their similarities and differences.Phases 5 through 7 center on comparing studies, deriving higher order meaning from these comparisons and communicating these findings. Meta-ethnographic analysis involves treating the various theories and interpretations presented in each qualitative study as research “data.” Hence, a key concept relevant to this type of analysis is the idea of levels of interpretation.25 Researchers undertaking qualitative synthesis often consider first-order interpretations as the common sense and everyday explanations of research participants (ie, raw research data); second-order interpretations as the constructs and theories explaining those experiences (ie, research interpretations); and third-order interpretations as the holistic meanings drawn from the synthesis of those studies (ie, meta-ethnographic interpretations). Third-order interpretations thus remain consistent with first- and second-order interpretations, but also extend beyond them (see the Table).Meta-ethnography uses a process called translation to build third-order interpretations. This involves exploring analogies and metaphors that explain how findings from different studies relate to one another. By comparing and integrating these ideas, holistic meanings are preserved throughout the process. More in-depth discussion of the development of third-order interpretations through “translation” is available for researchers.4Strike and Posner26 described 3 criteria that can be used to evaluate the quality of literature syntheses. They proposed that high-quality syntheses (1) do not oversimplify or obscure differences between findings and ideas but clarify and resolve them; (2) involve reinterpretation and conceptual innovation; and (3) result in theoretical explanations that are consistent, parsimonious, elegant, and fruitful. In other words, syntheses should be “not just encyclopedias of current knowledge, but represent a creative and progressive transformation of current knowledge.”25(p355)Rigorous meta-ethnography, through its careful interpretive work, meets these standards. Although not always successful, the initial aim of meta-ethnographic synthesis is to generate new interpretations or a new model or framework. However, some meta-analyses will fail to produce robust causal explanations or new interpretations that advance our understanding of the theoretical underpinnings of the studied phenomenon.Achieving such desired rigor is no simple task. To address the inconsistent reporting quality of meta-ethnographies in health literature, a group of meta-ethnographers (eMERGe collective) have come together to develop a set of reporting standards, tailored to the broad spheres of health and social care.16 The 19-item reporting criteria is related to the 7 phases of meta-ethnography.16 It is intended to help researchers design and communicate their studies, but also help readers interpret the quality of meta-ethnographic design. The eMERGe Reporting Guidelines emphasize transparency in the reporting of results and justification of methodological and interpretive decisions.Synthesizing qualitative research—that is, research that examines what phenomena occur and how they are experienced—is complex and requires deliberate and thoughtful procedures to undertake successfully. Many HPE researchers may be unfamiliar with meta-ethnography, but it is an approach that has significant potential for our field. Based in interpretive foundations, meta-ethnographies “translate” concepts and interpretations from multiple qualitative studies into one another, and thus effectively advance the how and what questions beyond what any one study can accomplish. Overall, meta-ethnography may provide an effective way to explore complex and persistent questions in HPE.