- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04873973
Optimized Acute Care for Geriatric Patients Using an Intersectoral Telemedical Cooperation Network - Around the Clock - Technical Performance (Optimal@NRW)
Study Overview
Detailed Description
The Optimal@NRW project represents a new cross-sectoral approach to the acute care and support of geriatric people in need of care through the implementation of an early warning system and the integration of a telemedical consultation system in 25 nursing homes in the region of Aachen in Germany. The project focuses on restructuring emergency care in nursing homes and improving cooperation between the actors involved (emergency service, emergency department, general practitioners, nursing staff, etc.). Accordingly, a central emergency number of the statutory health insurance funds is to act as a virtual hub for the care of geriatric patients.
The concrete approach of the project is that the participating nursing homes first contact the medical call centre (116 117) in case of a medical problem. The call centre is then responsible for an initial medical assessment and decides whether the respective GP can be called in or whether a teleconsultation with the "virtual digital desk" (i.e. the medical experts from the emergency department of the University Hospital RWTH Aachen) should be carried out. In addition, mobile nursing assistants (NÄPÄ (Z)) will be introduced as part of the project, who can also support the nursing staff and provide services that can be delegated by doctors - especially if the general practitioner is not available at the time.
In addition, a standardised early warning system is to be established in the nursing homes and its benefits evaluated. This will enable potentially dangerous changes in the state of health of nursing home residents to be detected earlier.
The unique and novel development of the technical concept and the interaction between a central electronic patient record, an early warning system and the telemedical equipment plays a decisive role in the success of the project.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Jörg Christian Brokmann, PD Dr. med.
- Phone Number: 0241 80 88421
- Email: jbrokmann@ukaachen.de
Study Contact Backup
- Name: Optimal@NRW Project Team
- Phone Number: 0241 80 38899
- Email: optimal-nrw@ukaachen.de
Study Locations
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-
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Aachen, Germany, 52074
- Recruiting
- University Hospital RWTH Aachen
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Contact:
- Jörg Christian Brokmann, PD Dr. med.
- Phone Number: 0241 80 88421
- Email: jbrokmann@ukaachen.de
-
Contact:
- Optimal@NRW Project Team
- Phone Number: 0241 80 38899
- Email: optimal-nrw@ukaachen.de
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Resident of one of the participating nursing homes
- At least 18 years old
- Written informed consent
- Consent of the guardian for residents who are not legally able to give consent
Exclusion Criteria:
- Persons placed in an institution by order of an authority or court
- Persons who are in a dependent or employment relationship with the investigator
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control
Participants in this group are routinely treated.
|
|
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Active Comparator: Telemedical support
Participants in this group are routinely treated with additional telemedical support and the use of the early warning system.
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The nursing homes participating in the project will be equipped with telemedical equipment.
This will allow teleconsultations to take place when needed.
In addition, an early warning system will be introduced and, within the framework of the teleconsultation, a trained medical assistant can be sent to the care facility if necessary, who can carry out medical activities on site under a physician's delegated instructions.
In addition, an electronic patient file will be introduced which can be accessed by the telemedicine physician and the general practitioner.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of non-realized teleconsultations by request
Time Frame: 6 to 15 months depending on the cluster affiliation
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Number of non-realized teleconsultations by request
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6 to 15 months depending on the cluster affiliation
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of system crash while running a teleconsultation
Time Frame: 6 to 15 months depending on the cluster affiliation
|
Number of system crash while running a teleconsultation
|
6 to 15 months depending on the cluster affiliation
|
|
Number of incorrect data transmissions within the overall system
Time Frame: 6 to 15 months depending on the cluster affiliation
|
Number of incorrect data transmissions within the overall system
|
6 to 15 months depending on the cluster affiliation
|
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Duration until the realization of a teleconsultation
Time Frame: 6 to 15 months depending on the cluster affiliation
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Duration until the realization of a teleconsultation
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6 to 15 months depending on the cluster affiliation
|
|
Number of causes that lead to system crash
Time Frame: 6 to 15 months depending on the cluster affiliation
|
A system crash is defined as a failure of one of the following three components that cannot be recovered within 5 minutes: Audio connection, visual connection, transmission of vital signs.
|
6 to 15 months depending on the cluster affiliation
|
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Data transmission rate requirement
Time Frame: 6 to 15 months depending on the cluster affiliation
|
Data transmission rate requirement
|
6 to 15 months depending on the cluster affiliation
|
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Rate of complications of the early warning system in connection with telemedicine
Time Frame: 6 to 15 months depending on the cluster affiliation
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Rate of complications of the early warning system in connection with telemedicine
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6 to 15 months depending on the cluster affiliation
|
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Performance of the early warning system
Time Frame: 6 to 15 months depending on the cluster affiliation
|
- Number of system errors and terminations
|
6 to 15 months depending on the cluster affiliation
|
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Performance of the early warning system
Time Frame: 6 to 15 months depending on the cluster affiliation
|
- Number of alarms in the early warning system
|
6 to 15 months depending on the cluster affiliation
|
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Performance of the early warning system
Time Frame: 6 to 15 months depending on the cluster affiliation
|
- Number of false alarms
|
6 to 15 months depending on the cluster affiliation
|
|
Performance of the early warning system
Time Frame: 6 to 15 months depending on the cluster affiliation
|
- time from early warning system alarm to teleconsultation/physician contact
|
6 to 15 months depending on the cluster affiliation
|
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Performance of the early warning system
Time Frame: 6 to 15 months depending on the cluster affiliation
|
- consequences of an alarming early warning system
|
6 to 15 months depending on the cluster affiliation
|
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Performance of the teleconsultation equipment
Time Frame: 6 to 15 months depending on the cluster affiliation
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- Number of complications
|
6 to 15 months depending on the cluster affiliation
|
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Performance of the teleconsultation equipment
Time Frame: 6 to 15 months depending on the cluster affiliation
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- Number of disconnection error or failure of components
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6 to 15 months depending on the cluster affiliation
|
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Performance of the teleconsultation equipment
Time Frame: 6 to 15 months depending on the cluster affiliation
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- consultation extent
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6 to 15 months depending on the cluster affiliation
|
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Performance of the teleconsultation equipment
Time Frame: 6 to 15 months depending on the cluster affiliation
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- call duration
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6 to 15 months depending on the cluster affiliation
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Performance of the teleconsultation equipment
Time Frame: 6 to 15 months depending on the cluster affiliation
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- devices used
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6 to 15 months depending on the cluster affiliation
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Satisfaction survey
Time Frame: 24 months
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Questionnaires and interviews to survey satisfaction about the technical equipment in the project
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24 months
|
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Ethic survey
Time Frame: 24 months
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Questionnaires and interviews to clarify whether the technical equipment is seen as ethically appropriate
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24 months
|
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Acceptance survey
Time Frame: 24 months
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Questionnaires and interviews to survey acceptance about the technical equipment in the project
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24 months
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Usability survey
Time Frame: 24 months
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Questionnaires and interviews to survey the usability of the technical equipment
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24 months
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Jörg Christian Brokmann, PD Dr. med., Uniklinik RWTH Aachen
Publications and helpful links
General Publications
- Hemming K, Haines TP, Chilton PJ, Girling AJ, Lilford RJ. The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting. BMJ. 2015 Feb 6;350:h391. doi: 10.1136/bmj.h391. No abstract available.
- Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Med Res Methodol. 2006 Nov 8;6:54. doi: 10.1186/1471-2288-6-54.
- Hoffmann F, Schmiemann G. Influence of age and sex on hospitalization of nursing home residents: A cross-sectional study from Germany. BMC Health Serv Res. 2017 Jan 19;17(1):55. doi: 10.1186/s12913-017-2008-7.
- Sundmacher L, Fischbach D, Schuettig W, Naumann C, Augustin U, Faisst C. Which hospitalisations are ambulatory care-sensitive, to what degree, and how could the rates be reduced? Results of a group consensus study in Germany. Health Policy. 2015 Nov;119(11):1415-23. doi: 10.1016/j.healthpol.2015.08.007. Epub 2015 Sep 2.
- Vossius C, Selbaek G, Saltyte Benth J, Bergh S. Mortality in nursing home residents: A longitudinal study over three years. PLoS One. 2018 Sep 18;13(9):e0203480. doi: 10.1371/journal.pone.0203480. eCollection 2018.
- Bundesärztekammer. Beschlussprotokoll des 121. Deutschen Ärztetages in Erfurt vom 08. bis 11.05.2018, Stand 08.06.2018.
- Eatock D. Demografischer Ausblick für die Europäische Union 2019.
- Fehr A, Lange C, Fuchs J, Neuhauser H, Schmitz R. Gesundheitsmonitoring und Gesundheitsindikatoren in Europa. Robert Koch-Institut, Epidemiologie und Gesundheitsberichterstattung; 2017.
- Jacobs K, Kuhlmey A, Greß S, Klauber J, Schwinger A. Pflege-Report 2018. Berlin, Heidelberg: Springer Berlin Heidelberg; 2018.
- Sachverständigenrat zur Begutachtung der Entwicklung im Gesundheitswesen. Bedarfsgerechte Steuerung der Gesundheitsversorgung. Gutachten 2018.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 19-019-2
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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