German hospitals are obliged legally to provide clinical data for external comparative quality assurance. Data rely on administrative data and just as on additional data collections for this purpose only. They are used to identify defined quality indicators (so-called BQS data). The Agency for Healthcare Research and Quality (AHRQ) also developed quality indicators that rely on hospital administrative data to evaluate the quality of inpatient care.
Six selected quality indicators were computed by both methods. 2007 data from the nationwide external quality assurance program were analyzed and compared to quality information derived from a 2007 10 % nationwide sample of administrative hospital data.
Regarding the indicators "Obstetric trauma", "Mortality of community acquired pneumonia", "Postoperative deep vein thrombosis" and "Postoperative pulmonary embolism" rates are significantly higher in hospital administrative data than in BQS data (p < 0.01). Inversely, rates of the indicator "Decubitus ulcer" are significantly lower (p < 0.001).
Possible causes for the results might be divergent motivations for data collection or restrictions in data collection. It remains unclear which method properly reflects the true status. Selected indicators (e. g. obstetric trauma), however, are suitable to be substituted by hospital administrative data.
[Show abstract][Hide abstract] ABSTRACT: The German Health Care System (GHCS) faces many challenges among which an aging population and economic problems are just a few. The GHCS traditionally emphasised equity, universal coverage, ready access, free choice, high numbers of providers and technological equipment; however, real competition among health-care providers and insurance companies is lacking. Mainly in response to demographic changes and economic challenges, health-care reforms have focused on cost containment and to a lesser degree also quality issues. In contrast, generational accounting, priorisation and rationing issues have thus far been completely neglected. The paper discusses three important areas of health care in Germany, namely the funding process, hospital management and ambulatory care, with a focus on cost control mechanisms and quality improving measures as the variables of interest. Health Information Technology (HIT) has been identified as an important quality improvement tool. Health Indicators have been introduced as possible instruments for the priorisation debate.
Zeitschrift für Gastroenterologie 06/2012; 50(6):557-72. DOI:10.1055/s-0032-1312742 · 1.05 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Complications after cholecystectomy are continuously documented in a nationwide database in Germany. Recent studies demonstrated a lack of reliability of these data. The aim of the study was to evaluate the impact of a control algorithm on documentation quality and the use of routine diagnosis coding as an additional validation instrument.
Completeness and correctness of the documentation of complications after cholecystectomy was compared over a time interval of 12 months before and after implementation of an algorithm for faster and more accurate documentation. Furthermore, the coding of all diagnoses was screened to identify intraoperative and postoperative complications.
The sensitivity of the documentation for complications improved from 46 % to 70 % (p = 0.05, specificity 98 % in both time intervals). A prolonged time interval of more than 6 weeks between patient discharge and documentation was associated with inferior data quality (incorrect documentation in 1.5 % versus 15 %, p < 0.05). The rate of case documentation within the 6 weeks after hospital discharge was clearly improved after implementation of the control algorithm. Sensitivity and specificity of screening for complications by evaluating routine diagnoses coding were 70 % and 85 %, respectively. The quality of documentation was improved by implementation of a simple memory algorithm.
Der Chirurg 02/2014; 85(8). DOI:10.1007/s00104-013-2696-4 · 0.57 Impact Factor
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