Emergencies Clinical Trial
— Optimal@NRWOfficial title:
Optimized Acute Care for Geriatric Patients Using an Intersectoral Telemedical Cooperation Network - Around the Clock - Technical Performance
NCT number | NCT04873973 |
Other study ID # | 19-019-2 |
Secondary ID | |
Status | Recruiting |
Phase | N/A |
First received | |
Last updated | |
Start date | April 1, 2021 |
Est. completion date | March 31, 2023 |
Due to "demographic change", the composition of the population in Germany is changing. The consequence of this change is a population that is getting older on average. A key challenge is the appropriate nursing and medical care of older people in senior residences and care facilities. The increasing workload for nursing staff and doctors in the outpatient sector means that timely care for patients, e.g. in the form of GP visits, cannot always be guaranteed in a timely manner. The results are unnecessary or premature hospital admissions as well as ambulance and emergency care interventions, even though in many cases it is not an acute or even life-threatening event. Furthermore, it has been scientifically proven that hospital admissions can increase the risk of patients becoming confused. The aim of this project is to avoid unnecessary hospital admissions and to enable patients to remain in their familiar surroundings as far as this appears medically justifiable. At the same time, the study aims to improve the medical care of nursing home residents through better networking of medical areas, the use of tele-consultations and an early warning system.
Status | Recruiting |
Enrollment | 3073 |
Est. completion date | March 31, 2023 |
Est. primary completion date | March 31, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | 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 |
Country | Name | City | State |
---|---|---|---|
Germany | University Hospital RWTH Aachen | Aachen |
Lead Sponsor | Collaborator |
---|---|
RWTH Aachen University | Optimal@NRW Research Group |
Germany,
Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Med Res Methodol. 2006 Nov 8;6:54. Review. — View Citation
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.
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. Review. — View Citation
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. — View Citation
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.
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. — View Citation
Vossius C, Selbæk G, Šaltyte 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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Satisfaction survey | Questionnaires and interviews to survey satisfaction about the technical equipment in the project | 24 months | |
Other | Ethic survey | Questionnaires and interviews to clarify whether the technical equipment is seen as ethically appropriate | 24 months | |
Other | Acceptance survey | Questionnaires and interviews to survey acceptance about the technical equipment in the project | 24 months | |
Other | Usability survey | Questionnaires and interviews to survey the usability of the technical equipment | 24 months | |
Primary | Number of non-realized teleconsultations by request | Number of non-realized teleconsultations by request | 6 to 15 months depending on the cluster affiliation | |
Secondary | Number of system crash while running a teleconsultation | Number of system crash while running a teleconsultation | 6 to 15 months depending on the cluster affiliation | |
Secondary | Number of incorrect data transmissions within the overall system | Number of incorrect data transmissions within the overall system | 6 to 15 months depending on the cluster affiliation | |
Secondary | Duration until the realization of a teleconsultation | Duration until the realization of a teleconsultation | 6 to 15 months depending on the cluster affiliation | |
Secondary | Number of causes that lead to system crash | 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 | |
Secondary | Data transmission rate requirement | Data transmission rate requirement | 6 to 15 months depending on the cluster affiliation | |
Secondary | Rate of complications of the early warning system in connection with telemedicine | Rate of complications of the early warning system in connection with telemedicine | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the early warning system | - Number of system errors and terminations | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the early warning system | - Number of alarms in the early warning system | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the early warning system | - Number of false alarms | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the early warning system | - time from early warning system alarm to teleconsultation/physician contact | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the early warning system | - consequences of an alarming early warning system | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the teleconsultation equipment | - Number of complications | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the teleconsultation equipment | - Number of disconnection error or failure of components | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the teleconsultation equipment | - consultation extent | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the teleconsultation equipment | - call duration | 6 to 15 months depending on the cluster affiliation | |
Secondary | Performance of the teleconsultation equipment | - devices used | 6 to 15 months depending on the cluster affiliation |
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