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Accuracy of routinely collected clinical data on acute medical admissions to one hospital. (17/18)

Despite the rapid growth in routine computerized data collection within the National Health Service (NHS), and the increased use of such data for generating hospital statistics and doctor activity rates, few validation studies exist. During a study of 158 acute medical admissions, and examination of hospital data revealed numerous and systematic inaccuracies. If general practitioner (GP) performance statistics are to be reliably based on such sources, data validation, staff training, and protocols for data entry should form a routine part of NHS practice.  (+info)

A novel method for the assessment of the accuracy of diagnostic codes in general surgery. (18/18)

The aim of this study was to describe the accuracy of diagnostic coding in general surgery in a district general hospital, the North Staffordshire Hospital NHS Trust (NSHT), Stoke-on-Trent. An assessment was carried out by comparison between codes ascribed by hospital coders and expert external coders. Patients who had a finished consultant episode (FCE) in the specialty of general surgery at NSHT were included in the study. The sampling frame was general surgery FCEs at NSHT purchased by North Staffordshire Health Authority (NSHA) with an episode end date between 1 May 1995 and 31 December 1995. Every 15th record was sampled. Of 455 records sampled, 157 (35%) were in active use and were excluded but not replaced; therefore, 298 (65%) records were studied in detail. Outcome was measured by the accuracy of primary diagnostic codes ranked 1, 2, 3, 4, from highest to lowest levels of inaccuracy; a description of where errors occurred in the data cycle was recorded. Errors were found in 87/298 (29%) records; 25/298 (8%) records had an error at the highest level (i.e. wrong ICD-10 chapter), and 44/298 (15%) at the third level. Of the errors, 68/87 (78%) occurred between the medical record and the admission form. A substantial percentage (29%) of records had inaccurate diagnostic codes. It is concluded that coding should be carried out from the medical record rather than from the admission form (KMR1). The proportion of records with errors suggests that a routine data coding audit would be useful to improve the accuracy of routine diagnostic codes.  (+info)