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Background and Objective: The quality and integrity of information is pivotal to the validity and reliability of inferences drawn in research. The aim of this study is to demonstrate that standardized medical records can be used as a data abstraction training tool and a quality control measure to assess the validity of medical record data abstraction., Methods: Sixteen hospitals participating in a large multicenter study completed standardized data abstraction forms for three representative patient charts, one in each of the clinical areas of postoperative critical care and trauma, cardiac surgery, and repair of hip fracture. The completed forms were then compared to an established gold standard., Results: The mean level of accuracy of the completed data abstraction forms in each of the above three clinical areas were 91.8, 77.5, and 91.5%, respectively. Missing data accounted for 19% of all discrepancies between the abstracted information and the gold standard. If queries and amendments were made by the study's coordinating center, the mean level of accuracy increased to 94.5, 82.5, and 92.9%, respectively., Conclusion: The present study stressed the need for quality control measures in abstracting information from medical records to ensure the accuracy and completeness of the data abstracted.

A simple multiple system organ failure (MSOF) score may predict mortality of patients who have sepsis syndrome. Using an MSOF scoring system, we prospectively determined the presence or absence of respiratory, cardiovascular, renal, hepatic, gastrointestinal, hematologic, and neurologic organ failure on day 1 of sepsis syndrome in 154 consecutive patients who had sepsis syndrome in the ICU of a tertiary care, teaching hospital. We used 30-day hospital mortality as the primary outcome variable. Overall 30-day mortality was 34 percent. There was a strong linear association between number of organ system failures and 30-day mortality (p < 0.0001). Mortality was 20 percent in patients who had less than 3 organ system failures (n = 111) and 70 percent in patients who had 3 or more organ system failures (n = 43). Survival was assessed using the Cox proportional hazards model and was found to be significantly different (p < 0.01) between the two groups defined by the aforementioned dichotomy after adjustment for age and sex using time to death as the primary outcome. The increase in relative risk of death associated with 3 or more organ system failures was 2.77 (95 percent confidence interval, 2.74 to 2.83). Using logistic regression, the adjusted odds ratios (OR) for covariates most predictive of mortality were hematologic (OR = 6.2), neurologic (OR = 4.4), hepatic (OR = 3.4), cardiovascular (OR = 2.6), and age (1.05 per year). The logistic model using the seven organ system failures and age as covariates accurately predicted outcome 75 percent of the time with a sensitivity of 51 percent and specificity of 87 percent. In conclusion, a simple scoring system tabulating the number of organ system failures present on day 1 of sepsis syndrome predicts the mortality of patients who have sepsis syndrome with reasonable accuracy.