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Telemedical, Intersectoral Network as New Digital Health Structure to Measurably Improve the Local Health Care (TELnet@NRW)

1 juni 2020 uppdaterad av: 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.

Studieöversikt

Status

Avslutad

Betingelser

Intervention / Behandling

Detaljerad beskrivning

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.

Studietyp

Interventionell

Inskrivning (Faktisk)

159065

Fas

  • Inte tillämpbar

Kontakter och platser

Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.

Studieorter

  • Tyskland
      • Münster, Tyskland
        • University Hospital Münster
    • NRW
      • Aachen, NRW, Tyskland, 52074
        • University Hospital RWTH Aachen

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

18 år och äldre (Vuxen, Äldre vuxen)

Tar emot friska volontärer

Nej

Kön som är behöriga för studier

Allt

Beskrivning

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

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

  • Primärt syfte: Diagnostisk
  • Tilldelning: Randomiserad
  • Interventionsmodell: Parallellt uppdrag
  • Maskning: Ingen (Open Label)

Vapen och interventioner

Deltagargrupp / Arm
Intervention / Behandling
Inget ingripande: Control
Patients of this group are routinely treated without telemedical support.
Aktiv komparator: Telemedical support
Patients of this group are routinely treated with telemedical support.
Övrig: Telemedical support
Participating sites will be advised by telemedicine support.

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Improvement of treatment quality
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
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").
through study completion, an average of 30 days up to a maximum of 1 year

Sekundära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Rate of sepsis diagnosis
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
Rate of sepsis diagnosis
through study completion, an average of 30 days up to a maximum of 1 year
Rate of ARDS Diagnosis
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
Rate of ARDS Diagnosis
through study completion, an average of 30 days up to a maximum of 1 year
Sepsis therapy in compliance with guidelines
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
Sepsis therapy in compliance with guidelines through for instance timely administration of antibiotics within 3 h and reduction of sepsis mortality.
through study completion, an average of 30 days up to a maximum of 1 year
Rate of ARDS therapy according to guidelines
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year

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
Rate of inadequate antibiotic therapies
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
Measured by the Percentage of postoperatively continued perioperative Antibiotic prophylaxis
through study completion, an average of 30 days up to a maximum of 1 year
Rate of patients with dialysis
Tidsram: At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
Rate of patients with dialysis requiring Kidney insufficiency in discharge from the Intensive care
At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
Rate of transfer transport
Tidsram: At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
Rate of transfer transport
At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
Health-related quality of life (SF36-Questionnaire)
Tidsram: 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
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
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
Rate of non-diagnosed sepsis
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
Defined as no filled out sepsis bundle despite presence of sepsis symptoms
through study completion, an average of 30 days up to a maximum of 1 year
Sepsis mortality rate
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
Sepsis mortality rate
through study completion, an average of 30 days up to a maximum of 1 year
Hospital mortality rate
Tidsram: through study completion, an average of 30 days up to a maximum of 1 year
Hospital mortality rate
through study completion, an average of 30 days up to a maximum of 1 year
Length of stay in intensive care unit
Tidsram: At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
Length of stay in intensive care unit measured in hours
At discharge from Intensive Care Unit (study completion); after an average of 30 days up to a maximum of 1 year
Hospital stay
Tidsram: At discharge from Hospital; after an average of 30 days up to a maximum of 1 year
Hospital stay measured in days
At discharge from Hospital; after an average of 30 days up to a maximum of 1 year

Samarbetspartners och utredare

Det är här du hittar personer och organisationer som är involverade i denna studie.

Sponsor

RWTH Aachen University

Utredare

  • Huvudutredare: Gernot Marx, Univ.-Prof. Dr. med., Clinic for Operative Intensive Care and Intermediate Care, University Hospital RWTH Aachen

Publikationer och användbara länkar

Den som ansvarar för att lägga in information om studien tillhandahåller frivilligt dessa publikationer. Dessa kan handla om allt som har med studien att göra.

Allmänna publikationer

Användbara länkar

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Faktisk)

1 maj 2017

Primärt slutförande (Faktisk)

31 oktober 2019

Avslutad studie (Faktisk)

31 januari 2020

Studieregistreringsdatum

Först inskickad

28 april 2017

Först inskickad som uppfyllde QC-kriterierna

28 april 2017

Första postat (Faktisk)

3 maj 2017

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)

2 juni 2020

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

1 juni 2020

Senast verifierad

1 januari 2020

Mer information

Termer relaterade till denna studie

Nyckelord

Andra studie-ID-nummer

  • 16-162

Plan för individuella deltagardata (IPD)

Planerar du att dela individuella deltagardata (IPD)?

NEJ

Läkemedels- och apparatinformation, studiedokument

Studerar en amerikansk FDA-reglerad läkemedelsprodukt

Nej

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