Mixing Research Methods An approach to letting the evolving research question drive a PBRN line of investigation Susan A. Flocke, PhD Associate Professor.

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Presentation transcript:

Mixing Research Methods An approach to letting the evolving research question drive a PBRN line of investigation Susan A. Flocke, PhD Associate Professor of Family Medicine, Epidemiology & Biostatistics, and Oncology Kurt C. Stange Professor of Family Medicine, Epidemiology & Biostatistics, Sociology and Oncology Case Western Reserve University October 16, 2008

Overview I. Introduction II. Qualitative Methods III. Mixed Methods - Quantitative and qualitative inquiry differences - Traditions - Decisions that drive study approach III. Mixed Methods - Overview and history - Approaches and Designs Example line of inquiry and spinoff studies Cross-disciplinary process

Quantitative and Qualitative features Role of researcher Detached, objective Engaged Purpose Test hypothesis Describe; Develop theory Data collection methods A priori, structured Flexible, iterative Data analysis Deductive, statistical Inductive, iterative leading to more data collection and revision of question Type of data Numbers Predominately Words Product Status of hypothesis Text

Qualitative Methods - Traditions Purpose Methods Allied Discipline Ethnography Cultural description Intensive fieldwork Anthropology Phenomen- ology Explore lived experience Analysis of cases to formulate meaning Philosophy Psychology Biography Meaning of experience as recorded through story Interviews and documents exploring the life of an individual Literature Literary Criticism Grounded Theory Theory development, provide an explanation Constant comparative method Sociology Qualitative methods represent a wide array of traditions that each have their own specific methods, philosophical perspective, and products. These are just some examples. The nature of the inquiry and of the questions are descriptive and inductive. The data collection takes place in a natural setting, it typically involves multiple methods of data collection, the investigator is central to the analysis and is the main data collection vehicle, the processes of sampling, data collection and analysis is iterative and subquestions generally evolve during the iterative data analysis process.

Decisions that drive a study Epistemology – the theory of knowledge Philosophical / theoretical perspective Study design Specific methods

Mixed Methods General consensus that no longer a quantitative vs. qualitative methods – both are necessary. Scope of mixing methods – within study – within line of inquiry – within broad topic area

Mixed Methods Attack the research problem with an arsenal of methods that have non-overlapping weaknesses in addition to complementary strengths. J Brewer & A Hunter Foundations of multimethod research: Synthesizing styles. Sage 2006. page 4.

Approaches to mixing methods Sequential studies Quantitative  Qualitative Qualitative  Quantitative Mixed methods in same study Dominant/ Less Dominant Secondary method plays a small role Concurrent Both Quantitative and Qualitative data collected & analyzed in a complementary manner Stange KC, Miller WL, Crabtree BF, O’Connor PJ, Zyzanski SJ. Multimethod research: Approaches for integrating qualitative and quantitative methods. J Gen Int Med, 1994; 9:278-282.

Approaches to mixing methods Data transformation – convert data of one type to the other can be analyzed together. Typology development – one type of data used to develop a typology that is used to drive analysis with other type of data. Extreme case analysis – pursue data collection or analysis of data of the other type with the intent of refining the initial explanation for the extreme case.

Example line of inquiry

Direct Observation of Primary Care Cross-sectional observation of 84 family practices & 4454 patient visits to 138 physicians in Ohio Direct Observation Davis Observation Code Checklists Medical Record Reviews Patient Exit questionnaire Billing Data Practice Environment Checklist Ethnographic Fieldnotes

Prevention & Competing Demands In-depth multimethod comparative case study of 18 family practices & 1,600 visits to 56 clinicians in Nebraska Longer direct observation of practice environment recorded in checklists and field notes (4-8 weeks of observation) Direct observation of 30 encounters/clinician recorded in checklists and field notes Chart audits of patients who were observed Interviews of all clinicians, most staff, some community members

Study To Enhance Prevention by Understanding Practice (STEP-UP) Randomized clinical trial of 80 family practices in Ohio Multimethod assessment (MAP) of values, structures, and processes Patient survey and medical record review to assess preventive service delivery at 6 month intervals Practice-individualized intervention

Spinoff studies My own work has spun off of this initial line of inquiry to focus on health behavior advice (diet, exercise, smoking and weight management) and doctor-patient communication. I am also interested in primary care practice awareness of and utilization of community resources to support health behavior change. The main study for the Exemplar project was qualitative with the collection of audio recordings to understand how 5 purposefully selected physicians were addressing health behavior change at a rate higher than their peers. The analysis for this was iterative and involved repeated listening to and reading of transcripts to identify emerging patterns. Minimal patient survey items were included. This study led to the larger Doctor Patient Communication study (DPC). Which is a large concurrent mixed methods study.

A Typology of Collaboration Multidisciplinary Interdisciplinary Transdisciplinary Crabtree BF, Miller WL, Adison RB, Gilchrist VJ, Kuzel A. Exploring Collaborative Research in Primary Care. Thousand Oaks, California: Sage Publications; 1994.

Multidisciplinary Research Multiple disciplines Each contributes their piece to solving a problem Like an edited book or separate presentations by multiple experts

Interdisciplinary Research A conversation between and among disciplines Working together on solving a common problem Like a collaborative health care team

Transdisciplinary Research A sustained conversation across and beyond disciplinary boundaries Creates a new shared language Such as the emergence of family systems medicine

6 Stages of Collaboration Acceptance / validation Shared expectations Declaring group process Action consensus Common space Sustained common action

Benefits Including multiple disciplines facilitates creativity and learning Ability to better match the evolving research question and methods Allows pursuit of multiple lines of inquiry Process data informs results and future studies Sharing work can increase scholarly productivity and audiences for findings Fosters both innovation and rigor Fun and potentially transforming

Pitfalls Developing needed relationships takes time and energy Design and analyses are continually being reinvented Requires highly skilled and flexible data collectors and analysts

Transdisciplinary, Multimethod Research Tailors the methods to the (evolving) question Develops relationships Well-suited for PBRN studies

Resources Tashakkori A. Teddlie C. Mixed Methodology. Sage Thousand Oaks CA, 1998. Brewer J., Hunter A. Foundations of Multimethod Research. Sage. Thousand Oaks CA, 2006. Creswell JW. Research Design: Qualitative, quantitative and mixed methods approaches. 2nd Ed. Sage. Thousand Oaks CA, 2003.

Contact Information Susan.Flocke@case.edu Kurt.Stange@case.edu