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Data collection

The collection of data consists of two parts: the obligatory collection of outcome parameters and the facultative collection of process parameters. At the beginning, data concerning the structure quality are also collected.

Outcome parameters

Outcome parameters - plus a few demographic data like age, gender, ward, operation - are registered by use of a questionnaire that is filled in by the patient at his bedside on the first postoperative day. This questionnaire was developed within the BMGS-project "Benchmarking im Gesundheitswesen" (benchmarking in public healthcare). It includes elements of the Brief Pain Inventory as well as of the Oucome Questionnaire developed by the American Pain Society. Special emphasis was put on a standardized way of collecting the data in order to minimize the variability of questioning interaction and to guarantee an interclinical comparability of data. Distribution, explication and collection of the questionnaires is for example done by a member of staff who is not directly involved in the patient's care. This is a requirement to make sure that the data are collected under the same conditions throughout Germany and that the SOPs are strictly observed. The time needed for collecting the outcome parameters is about 5 minutes per patient.

The outcome quality parameters are mainly defined from the patient's point of view. Priority is given to the functional impact of pain, to side effects of therapies and to patient satisfaction. After that, all anonymized data are transmitted to an external data base where they are analyzed.

Process parameters

On a facultative basis, additional process data can be collected (e.g. concerning anesthesia, surgery, pain therapy on the ward, etc.) in order to enable deficit analyzing. Furthermore, additional blank spaces permit to collect parameters that are of individual interest. For a conclusive feedback, at least 30 - better 50 - data sets per ward per quarter are necessary. This means that not all patients have to answer the questionnaire but only a randomized number of them. Uniform methods of randomization guarantee interclinical comparability and minimize the danger of selection bias and systematic errors.

At the moment, an interface with existing IT-systems in hospitals is not necessary because all outcome parameters are collected by the questionnaire on a daily basis. Prospectively, such an interface for integration of data (e.g. of anesthesia protocols or electronic patient files) is imaginable.



QUIPS-Schulung in Jena
21.11.2017 - 13:00 to 16:30
Universitätsklinikum Jena, Schmerzambulanz, Seminarraum Palliativmedizin

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