scholarly journals A framework for identifying and learning from countries that demonstrated exemplary performance in improving health outcomes and systems

2020 ◽  
Vol 5 (12) ◽  
pp. e002938
Author(s):  
Austin Carter ◽  
Nadia Akseer ◽  
Kevin Ho ◽  
Oliver Rothschild ◽  
Niranjan Bose ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Global Health ◽  
Health Outcomes ◽  
Mixed Methods Research ◽  
Multidisciplinary Teams ◽  
Ongoing Research ◽  
Qualitative And Quantitative ◽  
Success Stories ◽  
Quantitative Analyses ◽  
Comprehensive Framework

This paper introduces a framework for conducting and disseminating mixed methods research on positive outlier countries that successfully improved their health outcomes and systems. We provide guidance on identifying exemplar countries, assembling multidisciplinary teams, collecting and synthesising pre-existing evidence, undertaking qualitative and quantitative analyses, and preparing dissemination products for various target audiences. Through a range of ongoing research studies, we illustrate application of each step of the framework while highlighting key considerations and lessons learnt. We hope uptake of this comprehensive framework by diverse stakeholders will increase the availability and utilisation of rigorous and comparable insights from global health success stories.

scholarly journals The Problem of “Cameo Appearances” in Mixed-methods Research: Implications for Twenty-first-century Ethnography

2018 ◽  
Vol 61 (2) ◽  
pp. 314-334 ◽  
Author(s):  
Black Hawk Hancock ◽  
Bryan L. Sykes ◽  
Anjuli Verma
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Sampling Design ◽  
First Century ◽  
Social Worlds ◽  
Qualitative And Quantitative ◽  
Quantitative Analyses ◽  
Twenty First Century ◽  
Scientific Scholarship ◽  
Social Scientific

Amid ongoing controversies in ethnography concerning representation, reproducibility, and generalizability, social scientific scholarship has increasingly taken a mixed-methods turn. While studies that blend qualitative and quantitative data promise to enhance the validity of representations of social worlds under analysis, they cannot escape contending with foundational dilemmas of scientific translation, integration, and commensurability across methodological paradigms. Recent debates have ignited a new line of inquiry about the integration of multiple methods in ethnography. In this paper, we argue that “cameo appearances”—the summoning of either qualitative or quantitative analyses in separate, purely mono-method studies—amounts to a form of methodological tokenism under the guise of methodological pluralism. We articulate sampling design, enhanced training, and curriculum development as crucial for arbitrating these debates as mixed-methods research emerges as a distinct innovation in twenty-first-century ethnography.

scholarly journals Aligning sampling and case selection in quantitative-qualitative research designs: Establishing generalizability limits in mixed-method studies

Ethnography ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 227-253 ◽  
Author(s):  
Bryan L Sykes ◽  
Anjuli Verma ◽  
Black Hawk Hancock
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Ethnographic Research ◽  
Three Solutions ◽  
Real World Data ◽  
Ideal Types ◽  
Qualitative And Quantitative ◽  
Research Designs ◽  
Research Goal ◽  
Quantitative Analyses

Quantitative researchers increasingly draw on ethnographic research that may not be generalizable to inform and interpret results from statistical analyses; at the same time, while generalizability is not always an ethnographic research goal, the integration of quantitative data by ethnographic researchers to buttress findings on processes and mechanisms has also become common. Despite the burgeoning use of dual designs in research, there has been little empirical assessment of whether the themes, narratives, and ideal types derived from qualitative fieldwork are broadly generalizable in a manner consistent with estimates obtained from quantitative analyses. We draw on simulated and real-world data to assess the bias associated with failing to align samples across qualitative and quantitative methodologies. Our findings demonstrate that significant bias exists in mixed-methods studies when sampling is incongruent within research designs. We propose three solutions to limit bias in mixed-methods research.

Developing the Methodology for an Applied, Interdisciplinary Research Project: Documenting the Journey Toward Philosophical Clarity

2015 ◽  
Vol 11 (4) ◽  
pp. 450-468 ◽  
Author(s):  
Loene M. Howes
Keyword(s):  
Mixed Methods ◽  
Interdisciplinary Research ◽  
Mixed Methods Research ◽  
Scientific Evidence ◽  
Research Project ◽  
Ongoing Research ◽  
Methodological Choices ◽  
Interdisciplinary Research Project ◽  
Logic Of Inquiry ◽  
Methodological Refinement

Methodologists have urged researchers who use mixed methods to justify their methodological choices and provide greater clarity about the philosophical underpinnings and implications of their approaches. This article outlines the reasoning process undertaken in an endeavor to develop philosophical clarity for an applied, interdisciplinary, mixed methods research project about the communication of scientific evidence in the legal system. I used Greene’s domains of methodology for social inquiry as a framework for addressing reflexive questions about assumptions. Flowing from the domains of values and philosophies, the logic of inquiry was developed before the implications for the integration of findings and reporting of research were outlined. Early engagement in reflexive questioning provided a foundation for methodological refinement throughout the ongoing research journey.

Qualitative and quantitative methodologies in comparative research: An integrated approach?

2010 ◽  
pp. 19-34
Author(s):  
Graham Scambler
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Comparative Research ◽  
Mixed Methods Research ◽  
Integrated Approach ◽  
Research Strategies ◽  
Qualitative And Quantitative ◽  
Critical Realist ◽  
Deductive Research ◽  
Theoretical Dimension

This paper starts by characterizing conventional notions of quantitative ‘versus' qualitative research and considers their potential displacement by ‘mixed-methods' research. The claim that mixed-methods research is necessarily an advance on its predecessors is critiqued. Using a critical realist approach favouring retroductive and abductive rather than inductive and deductive research strategies, it is suggested that the theoretical dimension implicit in all research is too often neglected. It is further contended that ‘making a case' empirically amounts to much the same things as ‘making a case' theoretically. More ‘metareflection' is commended. Brief references is made to the literature on health inequalities to add some flesh to the bones of the argument.

scholarly journals What’s All the Chatter? A Mixed-Methods Analysis of Emergency Physicians’ Tweets

2019 ◽  
Vol 21 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Jeff Riddell ◽  
Alisha Brown ◽  
Lynne Robins ◽  
Rafae Nauman ◽  
Jeanette Yang ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Community Of Practice ◽  
Emergency Physicians ◽  
Shared Resources ◽  
Qualitative And Quantitative ◽  
Quantitative Analyses ◽  
Educational Delivery

Introduction: Twitter is growing in popularity and influence among emergency physicians (EP), with over 2200 self-identified EP users. As Twitter’s popularity has increased among EPs so too has its influence. While there has been debate about the value of Twitter as an effective educational delivery tool, little attention has been paid to the nature of the conversation occurring on Twitter. We aim to describe how influential EPs use Twitter by characterizing the language, purpose, frequencies, content, and degree of engagement of their tweets. Methods: We performed a mixed-methods analysis following a combined content analysis approach. We conducted qualitative and quantitative analyses of a sample of tweets from the 61 most influential EPs on Twitter. We present descriptive tweet characteristics and noteworthy themes. Results: We analyzed 1375 unique tweets from 57 unique users, representing 93% of the influential Twitter EPs. A majority of tweets (1104/1375, 80%) elicited some response in the form of retweets, likes, or replies, demonstrating community engagement. The qualitative analysis identified 15 distinct categories of tweets. Conclusion: Influential EPs on Twitter were engaged in largely medical conversations in which most messages generated some form of interaction. They shared resources and opinions while also building social rapport in a community of practice. This data can help EPs make informed decisions about social media engagement.

Mixed methods for telehealth research

2016 ◽  
Vol 23 (9) ◽  
pp. 764-769 ◽  
Author(s):  
Liam J Caffery ◽  
Melinda Martin-Khan ◽  
Victoria Wade
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Complex Interventions ◽  
Evaluation Study ◽  
Assessment Tools ◽  
Quantitative Investigation ◽  
Services Research ◽  
Qualitative And Quantitative ◽  
Single Method ◽  
Study Designs

Mixed methods research is important to health services research because the integrated qualitative and quantitative investigation can give a more comprehensive understanding of complex interventions such as telehealth than can a single-method study. Further, mixed methods research is applicable to translational research and program evaluation. Study designs relevant to telehealth research are described and supported by examples. Quality assessment tools, frameworks to assist in the reporting and review of mixed methods research, and related methodologies are also discussed.

Mixed Methods Research

2017 ◽  
Author(s):  
Daphne C. Watkins
Keyword(s):  
Social Work ◽  
Mixed Methods ◽  
Data Integration ◽  
Social Workers ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Social Work Research ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Single Study

Mixed methods research integrates both qualitative and quantitative methods into a single study to produce a more inclusive and expansive understanding of a topic. This article defines mixed methods in social work research, and discusses design notation, language, popular mixed methods designs, and data integration. Using mixed methods provides an opportunity for social workers to take advantage of the strengths of both qualitative and quantitative approaches and to offset their weaknesses. It is important that social workers engaged in mixed methods research maximize the interpretation of their findings and articulate the advantages of using mixed methods over qualitative or quantitative methods alone. Given the unique features of the profession, it is imperative that social workers carve out a distinctive mixed methods niche for social work researchers and practitioners.

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