Mixing Beyond Measure: Integrating Methods in a Hybrid Effectiveness–Implementation Study of Operating Room to Intensive Care Unit Handoffs

2019 ◽  
Vol 14 (2) ◽  
pp. 207-226 ◽  
Author(s):  
Angela Ross Perfetti ◽  
Hannah Peifer ◽  
Scott Massa ◽  
Laura J. Di Taranti ◽  
Mahrukh Choudhary ◽  
...  

During hospital handoffs, patient care and information are transferred between teams. Handoffs can expose patients to preventable harm related to lost information or misunderstandings between care teams. In the Handoffs and Transitions in Critical Care (HATRICC) project, we used a convergent mixed methods approach to design, implement, and evaluate a standardized process for handoffs between operating rooms and intensive care units. The value of this work to the field of mixed methods research is in illustrating how sustained, real-time integration of qualitative and quantitative methods contribute to an appropriate, acceptable, and ultimately more effective intervention. This approach allows for a nuanced understanding of implementation and effectiveness outcomes in a high-acuity clinical discipline largely characterized by quantitative approaches to improvement research.

2021 ◽  
pp. 155868982098627
Author(s):  
Diego Romaioli

In order to enhance core mixed methods research designs, social scientists need an approach that incorporates developments in the social constructionist perspective. This work describes a study that aimed to promote occupational well-being in hospital departments where employees are at risk of burnout, based on a constructionist inquiry developed starting from the Maslach Burnout Inventory. Taking this study as an example, we define a “generative sequential mixed methods approach” as a process that involves consulting quantitative studies to identify criticalities on which to conduct focused, transformative investigations. The article contributes by envisaging ways to mix qualitative and quantitative methods that consider a “generative” and “future-forming” orientation to research, in line with recent shifts in social psychology.


2017 ◽  
Vol 20 (2) ◽  
pp. 179-192 ◽  
Author(s):  
José F. Molina-Azorin ◽  
Donald D. Bergh ◽  
Kevin G. Corley ◽  
David J. Ketchen

A growing methodological trend is emerging from the recognition that integrating qualitative and quantitative methods in the same study, that is, employing a mixed methods approach, can provide the necessary empirical intricacy and rigor to match the complexities of organizational phenomena. The authors describe opportunities and challenges of mixed methods research in the organizational sciences, explain how the articles offered in this Feature Topic help to advance mixed methods in our field, and offer suggestions for future work that may create additional progress.


Author(s):  
Daphne C. Watkins

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.


2021 ◽  
pp. 155868982110498
Author(s):  
Ferdinand C. Mukumbang

Mixed methods studies in social sciences are predominantly employed to explore broad, complex, and multifaceted issues and to evaluate policies and interventions. The integration of qualitative and quantitative methods in social sciences most often follows the Peircean pragmatic approach—abductive hypothesis formation followed by deductive and inductive testing/confirmation—with limited theorizing properties. This paper contributes to the field of mixed methods research in social sciences by explicating a two-way interaction process between mixed methods data and [social] theory in a pluralistic inferencing approach espoused by critical realism—retroductive theorizing. The paper further illustrates how through retroductive theorizing, critical realism offers a more epistemologically and ontologically grounded alternative for integrating qualitative and quantitative methods compared to pragmatism.


Author(s):  
Ian Jones

Sports fandom consists of cognitive and affective, as well as behavioural components. Existing sports fan research utilises either strong qualitative, or more often, strong quantitative methodologies. The strengths and weaknesses of each approach are outlined, developing the argument that the use of a single methodology often fails to explore all of these components. The use of a mixed methods approach is suggested to counteract this weakness and to enhance research into the sports fan.


Author(s):  
Deepthiman Gowda ◽  
Tayla Curran ◽  
Dorene F. Balmer

Program evaluations explore the effectiveness and feasibility of new programs. An evaluation method using a mixed methods approach combines qualitative and quantitative data; this approach enables triangulation of data to provide more comprehensive understanding of a program and increase the trustworthiness of evaluation findings. Mixed methods evaluation can be resource intensive and requires expertise in both qualitative and quantitative methods. Program evaluation questions should be informed by program stakeholders and by the concerns of the field. In this chapter, the authors describe how to conduct a mixed methods program evaluation and explore its benefits and limitations. The authors draw on their experience of using a mixed methods approach to evaluate a year-long narrative medicine program in primary care clinics. Though not appropriate for all health humanities program evaluation, a mixed methods evaluation offers rich, multidimensional understandings of programs.


2019 ◽  
Vol 40 (1) ◽  
pp. 423-442 ◽  
Author(s):  
Lawrence A. Palinkas ◽  
Sapna J. Mendon ◽  
Alison B. Hamilton

Mixed methods research—i.e., research that draws on both qualitative and quantitative methods in varying configurations—is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness, and implementation. The article begins with an overview of the structure, function, and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness–implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or “quantitizing”) qualitative data, application of rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling, particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.


2016 ◽  
Vol 12 (2) ◽  
pp. 148-165 ◽  
Author(s):  
Seng Yeap Kong ◽  
Naziaty Mohd Yaacob ◽  
Ati Rosemary Mohd Ariffin

The aim of this methodological description is to illustrate the application of mixed methods research in architectural design using a hybrid model consisting of a taxonomy development model and an embedded quasi-experimental model. The research employed qualitative and quantitative methods to explore the design of an architectural intervention and determine its effectiveness in improving environmental knowledge, attitudes, and behavior among primary school students. It also outlined strategies adopted to overcome the challenges related to the use of a hybrid design. Combining sequential and embedded mixed methods designs is a relatively new approach in architectural research, providing new insights that contribute to future mixed methods exploration in the field of design and planning.


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Felicity L. Bishop ◽  
Michelle M. Holmes

Background. Mixed methods research uses qualitative and quantitative methods together in a single study or a series of related studies.Objectives. To review the prevalence and quality of mixed methods studies in complementary medicine.Methods. All studies published in the top 10 integrative and complementary medicine journals in 2012 were screened. The quality of mixed methods studies was appraised using a published tool designed for mixed methods studies.Results. 4% of papers (95 out of 2349) reported mixed methods studies, 80 of which met criteria for applying the quality appraisal tool. The most popular formal mixed methods design was triangulation (used by 74% of studies), followed by embedded (14%), sequential explanatory (8%), and finally sequential exploratory (5%). Quantitative components were generally of higher quality than qualitative components; when quantitative components involved RCTs they were of particularly high quality. Common methodological limitations were identified. Most strikingly, none of the 80 mixed methods studies addressed the philosophical tensions inherent in mixing qualitative and quantitative methods.Conclusions and Implications. The quality of mixed methods research in CAM can be enhanced by addressing philosophical tensions and improving reporting of (a) analytic methods and reflexivity (in qualitative components) and (b) sampling and recruitment-related procedures (in all components).


2021 ◽  
Vol 26 ◽  
pp. 96-108
Author(s):  
Katrina McChesney

Mixed methods research is increasingly popular both within and beyond education because of the advantages offered by combining qualitative and quantitative methods. Some mixed methods research, however, does not fully harness the potential or depth that mixed methods has to offer. In this article, I consider some of this potential in terms of how mixed methods research can contribute to addressing “wicked problems,” theory generation, and culturally responsive research. I then discuss two important considerations for quality mixed methods research: appropriate paradigmatic foundations and the genuine integration of qualitative and quantitative components. The article is intended to provide both provocations and resources for those learning about, teaching about, considering, using, or contributing to mixed methods research in education.


Sign in / Sign up

Export Citation Format

Share Document