Qualitative Methodology in Translational Health Research: Current Practices and Future Directions

Author:

Rana Kritika12ORCID,Poudel Prakash3ORCID,Chimoriya Ritesh245ORCID

Affiliation:

1. Translational Health Research Institute, Western Sydney University, Campbelltown, NSW 2560, Australia

2. Philanthropy Nepal (Paropakari Nepal) Research Collaboration, Auburn, NSW 2144, Australia

3. Office of Research and Education, Canberra Health Services, ACT Government, Garran, ACT 2606, Australia

4. School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia

5. Concord Institute of Academic Surgery, Concord Repatriation General Hospital, Concord, NSW 2139, Australia

Abstract

Translational health research is an interdisciplinary field aimed at bridging the gap between basic science studies, preventative studies, and clinical practice to improve health-related outcomes. Qualitative research methods provide a unique perspective on the emotional, social, cultural, and contextual factors that influence health and healthcare and thus are recognized as valuable tools for translational health research. This approach can be embedded within a mixed method design which complements the quantitative findings. This methodological paper aims to provide a comprehensive review of the fundamental concepts and methodologies used in qualitative research, emphasizing their utilization and significance in translational health research. Several approaches to qualitative research methodology are discussed in this review, including ethnography, phenomenology, grounded theory, case study, and action research. Theoretical frameworks such as the social-ecological model, intersectionality, and participatory action research are also examined to provide a structure for understanding and interpreting complex health issues. This methodological paper also reviews commonly used sampling techniques such as purposive, snowball, convenience, theoretical, and maximum variation sampling, along with data collection methods such as in-depth interviews, focus groups, observation, document analysis, and participatory methods. Moreover, data analysis techniques such as thematic analysis, grounded theory, content analysis, narrative analysis, and reflexive analysis, are discussed in the context of translational health. Overall, this review highlights the challenges and opportunities of using qualitative methods in current practice, while also discussing future directions and providing valuable guidance and insights to researchers interested in conducting qualitative research in translational health.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference104 articles.

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