Systematic debriefing after qualitative encounters
An essential analysis step in applied qualitative research
Bibliographic Data
| ID | 23322981 |
|---|---|
| Authors | Shannon A Mcmahon (0000-0002-8634-9283, Johns Hopkins University, corresponding author), Peter J Winch (0000-0001-8569-5507, Johns Hopkins University) |
| Year | 2018 |
| Volume | 3 |
| Issue | 5 |
| Pages | e000837 |
| Publication date | 2018-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMJ Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2059-7908 • E-ISSN: 2059-7908 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/bmjgh-2018-000837 |
| PMID | 30233833 |
| OpenAlex | W2889856658 |
| Language | EN |
| Citations received | 83 |
| References cited | 10 |
Conversations regarding qualitative research and qualitative data analysis in global public health programming often emphasize the product of data collection (audio recordings, transcripts, codebooks and codes), while paying relatively less attention to the process of data collection. In qualitative research, however, the data collector’s skills determine the quality of the data, so understanding data collectors’ strengths and weaknesses as data are being collected allows researchers to enhance both the ability of data collectors and the utility of the data. This paper defines and discusses a process for systematic debriefings. Debriefings entail thorough, goal-oriented discussion of data immediately after it is collected. Debriefings take different forms and fulfill slightly different purposes as data collection progresses. Drawing from examples in our health systems research in Tanzania and Sierra Leone, we elucidate how debriefings have allowed us to: enhance the skills of data collectors; gain immediate insights into the content of data; correct course amid unforeseen changes and challenges in the local context; strengthen the quality and trustworthiness of data in real time; and quickly share emerging data with stakeholders in programmatic, policy and academic spheres. We hope this article provides guidance and stimulates discussion on approaches to qualitative data collection and mechanisms to further outline and refine debriefings in qualitative research.
Context (archaeology) · Custodians · Data collection · Data quality · Data science · Debriefing · Medical education · Process (computing) · Qualitative property · Qualitative research · Sierra leone · Social science · Sociology · Computer Science · Engineering · Global Maternal and Child Health · Health Policy Implementation Science · Medicine · Viral Infections and Outbreaks Research
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| Unique citing works | 83 |
|---|---|
| Citations per year | 11,86 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 78 |