Application of AHRQ patient safety indicators to English hospital data.
BACKGROUND
Patient safety is recognised worldwide as a major healthcare issue. The US Agency for Healthcare Research and Quality developed a series of evidence-based Patient Safety Indicators for use with hospital administrative data, but to date these have not been translated for use in the UK. They measure harm due to treatment and include infections, obstetric tears and foreign bodies left in the patient following surgery. We aimed to apply 10 of the AHRQ indicators for use in English routine hospital admissions data as the first step in validation, and describe their rates in relation to established measures of negative outcome such as mortality.


METHODS
Translation of US coding systems into England systems using look-up files and clinical coding advice. Descriptive analysis of rates, length of stay, mortality and emergency readmission. Qualitative feedback from hospitals on their rates and level of interest in the indicators.


RESULTS
The translation presented a number of challenges, particularly regarding the lack of direct correspondence between the two procedure coding systems. There were a total of 35,918 potential adverse events among the nine successfully translated indicators in England in the financial year 2005/6, with wide variation between hospital trusts. Potential adverse events were usually associated with higher mortality and unplanned readmission rates and longer length of stay. Postoperative sepsis, for example, had a rate of 4.2 per 1000 admissions and was associated with a median length of stay of 19 days compared with 6 days for admissions for operations without sepsis recorded, and was associated with a mortality of 14.7% compared with 0.5%.


CONCLUSIONS
These indicators have potential for use in tracking progress in harm-reducing programmes, but prospective evaluation of data quality and coding practices is required to fully assess their utility.
Bottle
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Dr Foster Unit at Imperial, Department of Primary Care & Social Medicine, Imperial College Faculty of Medicine, London, UK. robert.bottle@imperial.ac.uk
Aylin
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P
D005568:Forms and Records Control; D006739:Hospital Administration / Q000706:statistics & numerical data*; D006801:Humans; D019984:Quality Indicators, Health Care / Q000458:organization & administration* / Q000706:statistics & numerical data; D017751:Safety Management / Q000458:organization & administration* / Q000706:statistics & numerical data; D006113:United Kingdom; D014481:United States; D016270:United States Agency for Healthcare Research and Quality / Q000458:organization & administration* / Q000706:statistics & numerical data