Letter/Communication
Improved reporting of selection processes in clinical database research. Response to de Kok et al
Journal of clinical epidemiology, v 172, 111373
29 Apr 2024
PMID: 38692335
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Jip W.T.M. de Kok and colleagues present a case study for inclusion of a ‘Table 0’, a comparison between a source clinical database and a list of patients eligible for or included in a study [1]. Given the rise in availability and use of such databases, including electronic health records (EHRs) and insurance claims, requiring a Table 0 could be an important step toward greater transparency and reproducibility in epidemiology. The authors argue that providing these details enables researchers to identify potential biases that result from selection processes. Understanding the inferential goal is central to the comparison being made, whether to the source database or the source population. It is more likely that we wish to infer something about the epidemiology to a broader group than those who have provided data into a single EHR or claims database. This extends the target population beyond the catchment of a given health-care system. Thus, a comparison from the study population to the target population is the most instructive. In such cases, the clinical database is a sampling frame of some source population conditional on the health-care system's catchment; this may differ from the target population. Others in the Journal have opined on the importance of a well-structured Table 1, including a comparison to the target of inference [2]. [1st paragraph]
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Details
- Title
- Improved reporting of selection processes in clinical database research. Response to de Kok et al
- Creators
- Neal D. Goldstein - Drexel University
- Publication Details
- Journal of clinical epidemiology, v 172, 111373
- Publisher
- Elsevier; NEW YORK
- Number of pages
- 2
- Resource Type
- Letter/Communication
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:001310414400001
- Scopus ID
- 2-s2.0-85194532161
- Other Identifier
- 991021875355504721
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- Web of Science research areas
- Health Care Sciences & Services
- Public, Environmental & Occupational Health