Telemedical, Intersectoral Network as New Digital Health Structure to Measurably Improve the Local Health Care
Telemedical, Intersectoral Network as New Digital Health Structure to Measurably Improve the Local Health Care
Telemedicine allows providing expert know-ledge from specialized health centers to regional hospitals and practices. In this multicenter, prospective, non-interventional study hospitals and practices in NRW are supplied via a telematics platform with expertise from the university hospitals RWTH Aachen and Münster. The communication occurs via highly encrypted audio/video conference systems and a certified data exchange platform "Fallakte+". In total 40.000 outpatient and stationary patients with infectious diseases or need for intensive care should be treated with telemedical support. The participating hospitals and practices are randomly distributed into four clusters. The clusters are supplied with telemedicine at different time points but all clusters start at the same time collecting data from patient cohorts of infectiology and intensive care (e.g. symptom, therapeutic progress and outcome). The collected data is later compared to data obtained in the same way from patients treated with telemedical support and evaluated regarding differences in the quality of treatment, therapeutic process and the satisfaction of the patients with telemedicine. The aim is to improve the treatment quality in regional hospitals and practices of patients with serious and complex diseases and bring forward the application of telemedicine.
In future time the number of old people will significantly increase in Germany because of the demographic change taking place. The health care of the large number of old people will probably lead to a lack of physicians and an inefficient health care system. One strategy to tackle the problem could be telemedicine. Telemedicine makes it possible to provide know-ledge from experts to local hospitals and practices which otherwise need to send patients with serious and complex diseases to specialized trans-regional health centers. In this multicenter, prospective, non-interventional study hospitals and practices in NRW are supplied via a telematics platform with expert know-ledge from the university hospitals RWTH Aachen and Münster. The communication occurs via highly encrypted audio/video conference systems and a certified data exchange platform "Fallakte+".
In total 40.000 outpatient and stationary patients should be treated with telemedical support. Registered doctors will be involved in already existing practice networks to evaluate the potential for transfer and to ensure the sharing of know-ledge beyond the borders of individual sectors. The aim of the study is to improve the treatment quality of regional hospitals and practices and to increase the efficiency of the care of relevant patient cohort in the field of infectiology and intensive care with the main focus sepsis as those patient groups especially often require professional expertise for a successful therapy.
In the beginning of the study participating hospitals and practices are randomly distributed into four clusters (cluster randomization). The different clusters all start with the control phase but enter into the intervention phase at different times (stepped-wedge design). During the control phase data of patients with infection and intensive care patients routinely treated without the support of telemedicine are documented and the patients are asked to complete a questionnaire regarding health-related quality of life (SF36) directly after treatment and at two time points in the follow-up. The collected data will be later compared to data obtained in the same way from patients treated with telemedical support and evaluated regarding differences in the quality of treatment, therapeutic process and the satisfaction of the patients with telemedicine.
If the study shows that the treatment quality and therapeutic process of patients with infectious diseases or need for intensive care is improved by telemedicine, the telematics platform can be expanded and used by other specialized fields and users in future time.
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