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Courtesy work: Care practices for quality assurance in a cohort study
Ute Kalender1, Christine Holmberg2
1Institute of Public Health, Charité - Universitätsmedizin Berlin, corporate memberof Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Instituteof Health, Institute of Public Health, Berlin, Germany; Institute for Theatre, Film, and Media Studies, University of Vienna, Austria.
Accountability in cohort studies requires balancing ideals with practical realities. "Courtesy work" is essential for ensuring data quality and maintaining participant enrollment in epidemiological research.
Area of Science:
- Sociology of Science
- Epidemiology
- Qualitative Research Methods
Background:
- Accountability is a widely discussed concept across various fields, including epidemiology.
- Epidemiological guidelines emphasize data quality ideals for accountability in cohort studies.
- Social science research highlights practical challenges and the need for balance in implementing accountability demands.
Purpose of the Study:
- To explore the practical "balancing acts" required to achieve accountability in cohort studies.
- To investigate the role of social interactions and practices in generating accountable data.
- To understand how accountability is achieved "on the ground" within epidemiological research.
Main Methods:
- Ethnographic investigation of data-gathering practices within a German cohort study.
- Analysis of examination and data collection situations.
- Qualitative examination of "courtesy work" in scientific research.
Main Results:
- "Courtesy work" is identified as intrinsic to developing accountable data in cohort studies.
- This "courtesy work" is crucial for establishing and stabilizing epidemiological facts.
- It forms a key component of quality assurance for participant enrollment and data standardization.
Conclusions:
- Accountable data in epidemiological studies relies on "courtesy work."
- "Courtesy work" is integral to accountable care work within studies.
- This practice underpins quality assurance, participant retention, and reliable measurement results.
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