The St Vincent Declaration, a joint initiative on diabetes care and research of the World Health Organization (Europe) and the International Diabetes Federation (Europe), includes 5-year targets for improvement in diabetes outcomes as a central tenet. Accordingly, the establishment of state of the art monitoring and control systems is urged as a basis for the implementation of quality management. As a prerequisite for both targets, a diabetes dataset (fields and definitions) has been agreed to allow common monitoring of diabetes throughout Europe. This dataset has been further developed as the foundation stone of DiabCare, an initiative for continuous quality development in diabetes care. In a formal consensus process using the Delphi method, over 130 European diabetologists from 21 countries contributed to the development of this dataset, which includes fields covering true patient outcomes, intermediate metabolic outcomes, markers of diabetes tissue damage, risk factors, pregnancy, and life-style. The tools for documentation of the quality of health status have been developed in three formats for use in different health care settings. These tools, the DiabCare Diabetes Dataset, the DiabCare Basic Information Sheet, and the DiabCare Computer Program, are designed to allow local feedback-driven improvement in the quality of care, but are also the subject of communication protocols to compare performance between centres, regions, and countries. Whether implemented with or without the benefits of modern information technology, these initiatives can be the basis for both monitoring the targets of the St Vincent Declaration and for implementation of continuing quality development in diabetes care.
SUMMARYThe reasons for the resistance to ischaemia of peripheral nerves in diabetics are not well understood. We have now explored whether axonal depolarization underlies this phenomenon, as has previously been proposed. Resistance to ischaemia was determined by the new method of "threshold tracking". This method revealed an increase in excitability of the peroneal nerve at the popliteal fossa during ischaemia, and a decrease in excitability in the post-ischaemic period. The extent of these alterations in 28 type 1 diabetics without peripheral neuropathy showed a strong correlation with the mean blood glucose concentrations during the last 24 h before examination. To test whether the ischaemic resistance was related to membrane potential, we also measured axonal superexcitability in 11 selected diabetics, since it has been shown that post-spike changes in excitability depend on membrane potential. Changes in excitability of the peroneal nerve were measured in the period between 10 and 30 msec following a conditioning supramaximal compound action potential. Under resting conditions, no differences in the post-spike superexcitability were found between controls and diabetics, despite striking differences in their responses to a 10-min pressure cuff. These observations indicate that membrane depolarization is not involved in the resistance to ischaemia of motor axons in diabetic subjects.
The DIABCARE Q-Net project developed a complete and integrated information technology system to monitor diabetes care, according to the gold standards of the St Vincent Declaration Action Program. This is the first Telematic platform for standardized documentation on medical quality and evaluation across Europe, which will serve as a model for other chronic diseases. Quality development starts from the comparison of diabetes services, based on the key data on diabetes care in the basic information sheet. This is a 141 field form, which is to be completed once a year for each patient under the care of the diabetes team. The system performs an analysis of the local data and compares the data with peer teams by means of telecommunication of anonymous data. These data are collected regionally. At the next level these regional data are compared on a national basis across Europe using dedicated communication lines. National data can be compared transnationally by the use of the Internet and the DIABCARE benchmarking servers. These different lines are used according to the necessary security standards. Medical data are transferred via dedicated lines, aggregated data via the Internet. The architecture follows the open-platform concept in order to allow for heterogeneous technical environments. Already at the start of the project, the necessity for expanding the quality approach to telemedicine methodology was identified and included. For each level, specific programs are available to improve the performance of diabetes care delivery: DIABCARE data as client and DIABCARE server as regional and DIABCARE 'international server' as transnational server. Functioning pilots were established across all levels. The clients have been linked to the servers on a routine basis. According to the open architecture design, the various countries decided on different systems at the entry point: full system--Portugal; fax systems--Italy, Bavaria; implementation into doctor's office systems--Norway; paper forms and chip cards--France. This system can improve the local, regional and national diabetes care. Initiatives in several countries proved the feasibility of the system. The most extensive use, from Portugal, will be reported later in this paper. The exploitation of the DIABCARE Q-Net system will be performed with the DIABCARE International European Economic Interest Grouping as a co-ordinator and several commercial companies as contractors to market the products inside the system. The key project participants are: DIABCARE Office EURO, DIABCARE Portugal, DIABCARE France, DIABCARE Bavaria, DIABCARE UK, DIABCARE Netherlands, DIABCARE Norway, DIABCARE Italy, DIABCARE Sweden, DIABCARE Austria, DIABCARE Spain, GSF Research Centre for Health and Environment, FAST Research Institute for Applied Software Technology, Tromsø University Hospital, Stavanger Technical College, Technical University of Ilmenau, World Health Organisation (WHO), Regional Office for Europe.
Over the past 50 years, treatment possibilities in psychiatry have drastically improved, but the results we actually achieve under everyday treatment conditions fall far short of what could be accomplished. Quality management represents a suitable method of reducing this gap. Although it has been successfully practiced in other medical disciplines for a long time, its implementation in psychiatry has previously been restricted to pilot projects. Quality management programs in psychiatry have been slow to be accepted because, up to now, only a few mental health professionals have received training in quality management techniques. In order to compensate for this information deficit and to familiarize psychiatrists and other mental health care workers with this increasingly important topic, we will provide in this paper a brief survey of the most important principles and techniques of quality management. This information should encourage psychiatrists to apply this new method to their own areas of responsibility. The results of one of our own studies on schizophrenic outpatients, which are presented at the end of the paper, are intended to show that the outcome can be improved and costs reduced by implementing quality management programs in psychiatry.
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