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. Author manuscript; available in PMC: 2014 Mar 1.
Published in final edited form as: Crit Care Med. 2013 Mar;41(3):886–896. doi: 10.1097/CCM.0b013e31827bfc3c

Table 1. Aspects of databases that reflect the quality of data contained within.

Quality Domain Explanation
Coverage
Representativeness How well does the data source represent the population that it intends to?
Completeness of recruitment This feature measures the extent to which all eligible individuals have been included in the data collection scheme
Variables included What is the extent of the data collected on each individual? Are demographic, exposure, outcome, and confounding variables present?
Completeness of variables What is the extent of the missing data?
Accuracy
Collection of raw data Is the raw data collected or are aggregate averages collected?
Explicit definitions Are the variables explicitly defined?
Explicit rules Are there explicit rules for deciding how variables are recorded? For example, the timing of physiologic variables.
Reliability of coding Was the reliability of coded conditions and interventions tested?
Independence of observations Was the data recorder blinded to patient outcome at the time the data were collected?
Data validation Were data validated using outside sources? Were there consistency checks?

Based upon Black, et al.(42)