Telemedical, Intersectoral Network as New Digital Health Structure to Measurably Improve the Local Health Care (TELnet@NRW)
1 de junio de 2020 actualizado por: RWTH Aachen University
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.
Descripción general del estudio
Estado
Terminado
Condiciones
Intervención / Tratamiento
Descripción detallada
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.
Tipo de estudio
Intervencionista
Inscripción (Actual)
159065
Fase
- No aplica
Contactos y Ubicaciones
Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.
Ubicaciones de estudio
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Münster, Alemania
- University Hospital Münster
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NRW
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Aachen, NRW, Alemania, 52074
- University Hospital RWTH Aachen
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Criterios de participación
Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.
Criterio de elegibilidad
Edades elegibles para estudiar
18 años y mayores (Adulto, Adulto Mayor)
Acepta Voluntarios Saludables
No
Géneros elegibles para el estudio
Todos
Descripción
Inclusion Criteria:
- majority
- written informed consent
- infectiological and/or intensive care treatment
Exclusion Criteria:
- minority
- absence of written informed consent in the case of non-acute life-threatening disease
- persons who have a dependency or employment relationship with the sponsor or investigator
- persons who are sheltered in an institution upon court or administrative order
Plan de estudios
Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.
¿Cómo está diseñado el estudio?
Detalles de diseño
- Propósito principal: Diagnóstico
- Asignación: Aleatorizado
- Modelo Intervencionista: Asignación paralela
- Enmascaramiento: Ninguno (etiqueta abierta)
Armas e Intervenciones
Grupo de participantes/brazo |
Intervención / Tratamiento |
|---|---|
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Sin intervención: Control
Patients of this group are routinely treated without telemedical support.
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Comparador activo: Telemedical support
Patients of this group are routinely treated with telemedical support.
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Participating sites will be advised by telemedicine support.
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¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Improvement of treatment quality
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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The level of implementation of the 10 recommendations of the German Society of Infectious Diseases (Deutsche Gesellschaft für Infektiologie, DGI) within the framework of the Initiative "Decide wisely" ("Klug entscheiden").
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through study completion, an average of 30 days up to a maximum of 1 year
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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
|
Rate of sepsis diagnosis
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Rate of sepsis diagnosis
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through study completion, an average of 30 days up to a maximum of 1 year
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Rate of ARDS Diagnosis
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Rate of ARDS Diagnosis
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through study completion, an average of 30 days up to a maximum of 1 year
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Sepsis therapy in compliance with guidelines
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Sepsis therapy in compliance with guidelines through for instance timely administration of antibiotics within 3 h and reduction of sepsis mortality.
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through study completion, an average of 30 days up to a maximum of 1 year
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Rate of ARDS therapy according to guidelines
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Measured against the evident ventilation targets, Ventilation with low ventilation volumes and low peak pressures: with controlled ventilation: Breath volume of 6 ml/kg calculated Body ideal weight, PEEP setting in proportion with the necessary FiO2, plateau pressure < 30 cm H2O |
through study completion, an average of 30 days up to a maximum of 1 year
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Rate of inadequate antibiotic therapies
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Measured by the Percentage of postoperatively continued perioperative Antibiotic prophylaxis
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through study completion, an average of 30 days up to a maximum of 1 year
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Rate of patients with dialysis
Periodo de tiempo: At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
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Rate of patients with dialysis requiring Kidney insufficiency in discharge from the Intensive care
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At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
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Rate of transfer transport
Periodo de tiempo: At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
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Rate of transfer transport
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At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
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Health-related quality of life (SF36-Questionnaire)
Periodo de tiempo: At discharge from Intensive Care Unit (through study completion; an average of 30 days up to a maximum of 1 year), through study completion, an average of 12 months and 24 months after discharge of ICU
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Clinical studies 36-item Medical Outcomes Study Short-Form General Health Survey An instrument used to assess multidimensional health-related QOL, which measures 8 health related parameters: physical function, social function, physical role, emotional role, mental health, energy, pain, general health perceptions; each parameter is scored from 0 to 100 Managed care 36-Item Short-Form Functional and Perceived Health Status Survey A questionnaire which measures health status; the SF-36 also includes a list of 18 self-reported chronic conditions
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At discharge from Intensive Care Unit (through study completion; an average of 30 days up to a maximum of 1 year), through study completion, an average of 12 months and 24 months after discharge of ICU
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Rate of non-diagnosed sepsis
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Defined as no filled out sepsis bundle despite presence of sepsis symptoms
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through study completion, an average of 30 days up to a maximum of 1 year
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Sepsis mortality rate
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Sepsis mortality rate
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through study completion, an average of 30 days up to a maximum of 1 year
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Hospital mortality rate
Periodo de tiempo: through study completion, an average of 30 days up to a maximum of 1 year
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Hospital mortality rate
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through study completion, an average of 30 days up to a maximum of 1 year
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Length of stay in intensive care unit
Periodo de tiempo: At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
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Length of stay in intensive care unit measured in hours
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At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
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Hospital stay
Periodo de tiempo: At discharge from Hospital; after an average of 30 days up to a maximum of 1 year
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Hospital stay measured in days
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At discharge from Hospital; after an average of 30 days up to a maximum of 1 year
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Colaboradores e Investigadores
Aquí es donde encontrará personas y organizaciones involucradas en este estudio.
Patrocinador
Investigadores
- Investigador principal: Gernot Marx, Univ.-Prof. Dr. med., Clinic for Operative Intensive Care and Intermediate Care, University Hospital RWTH Aachen
Publicaciones y enlaces útiles
La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.
Publicaciones Generales
- Engel C, Brunkhorst FM, Bone HG, Brunkhorst R, Gerlach H, Grond S, Gruendling M, Huhle G, Jaschinski U, John S, Mayer K, Oppert M, Olthoff D, Quintel M, Ragaller M, Rossaint R, Stuber F, Weiler N, Welte T, Bogatsch H, Hartog C, Loeffler M, Reinhart K. Epidemiology of sepsis in Germany: results from a national prospective multicenter study. Intensive Care Med. 2007 Apr;33(4):606-18. doi: 10.1007/s00134-006-0517-7. Epub 2007 Feb 24.
- Reinhart K, Brunkhorst FM, Bone HG, Bardutzky J, Dempfle CE, Forst H, Gastmeier P, Gerlach H, Grundling M, John S, Kern W, Kreymann G, Kruger W, Kujath P, Marggraf G, Martin J, Mayer K, Meier-Hellmann A, Oppert M, Putensen C, Quintel M, Ragaller M, Rossaint R, Seifert H, Spies C, Stuber F, Weiler N, Weimann A, Werdan K, Welte T; German Sepsis Society; German Interdisciplinary Association of Intensive Care and Emergency Medicine. Prevention, diagnosis, therapy and follow-up care of sepsis: 1st revision of S-2k guidelines of the German Sepsis Society (Deutsche Sepsis-Gesellschaft e.V. (DSG)) and the German Interdisciplinary Association of Intensive Care and Emergency Medicine (Deutsche Interdisziplinare Vereinigung fur Intensiv- und Notfallmedizin (DIVI)). Ger Med Sci. 2010 Jun 28;8:Doc14. doi: 10.3205/000103.
- Laxminarayan R, Bhutta Z, Duse A, Jenkins P, O'Brien T, Okeke IN, Pablo-Mendez A, Klugman KP. Drug Resistance. In: Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, Jha P, Mills A, Musgrove P, editors. Disease Control Priorities in Developing Countries. 2nd edition. Washington (DC): The International Bank for Reconstruction and Development / The World Bank; 2006. Chapter 55. Available from http://www.ncbi.nlm.nih.gov/books/NBK11774/
- Marx G, Greiner W, Juhra C, Elkenkamp S, Gensorowsky D, Lemmen S, Englbrecht J, Dohmen S, Gottschalk A, Haverkamp M, Hempen A, Flugel-Bleienheuft C, Bause D, Schulze-Steinen H, Rademacher S, Kistermann J, Hoch S, Beckmann HJ, Lanckohr C, Lowitsch V, Peine A, Juzek-Kuepper F, Benstoem C, Sperling K, Deisz R. An Innovative Telemedical Network to Improve Infectious Disease Management in Critically Ill Patients and Outpatients (TELnet@NRW): Stepped-Wedge Cluster Randomized Controlled Trial. J Med Internet Res. 2022 Mar 2;24(3):e34098. doi: 10.2196/34098.
Fechas de registro del estudio
Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.
Fechas importantes del estudio
Inicio del estudio (Actual)
1 de mayo de 2017
Finalización primaria (Actual)
31 de octubre de 2019
Finalización del estudio (Actual)
31 de enero de 2020
Fechas de registro del estudio
Enviado por primera vez
28 de abril de 2017
Primero enviado que cumplió con los criterios de control de calidad
28 de abril de 2017
Publicado por primera vez (Actual)
3 de mayo de 2017
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
2 de junio de 2020
Última actualización enviada que cumplió con los criterios de control de calidad
1 de junio de 2020
Última verificación
1 de enero de 2020
Más información
Términos relacionados con este estudio
Palabras clave
Otros números de identificación del estudio
- 16-162
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
NO
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
No
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
No
Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .
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