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| Name | Class |
|---|---|
| University of Twente | OTHER |
| Philips Research Eindhoven | UNKNOWN |
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Hospitals aim to hospitalize patients when necessary and discharge patients when possible. However, the triage process and discharge management of patients in e.g. the Acute Admission Ward, is not a trivial task. The upcoming technology of wearable monitoring devices, whereby patients can be continuously monitored with an unobtrusive vital signs device, might help getting more insight into patients' health condition and thus help facilitate efficient and effective triaging.
Therefore, the primary objective is to assess the effects of continuous monitoring of patients in the acute admission ward (AAW) on the percentage of patients who can be discharged home. Secondary objectives are to assess the length of stay in the acute admission ward and in the in-hospital wards, as well as the effect on admission to the intensive care unit, rapid response team calls and hospital readmission. The predictive value of algorithms applied to the monitoring data combined with other parameters to detect timely deterioration and predict discharge will be assessed. Facilitators and barriers for implementing such a system will be investigated.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Monitoring Group | Experimental | wearable sensor, besides usual care monitoring |
|
| Usual Care group | Other | usual care monitoring |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Wearable Sensor | Device | The sensor measures vital signs including heart rate and respiratory rate, posture and level of physical activity. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Percentage of patients discharged home from acute admission ward | Percentage of patients discharged home from acute admission ward | up to 7 days |
| Measure | Description | Time Frame |
|---|---|---|
| Length of stay in the acute admission ward | Length of stay in the acute admission ward | up to 7 days |
| Length of stay in the in-hospital wards | Length of stay in the in-hospital wards |
| Measure | Description | Time Frame |
|---|---|---|
| Deterioration | Deterioration will be assessed using clinical data | up to 7 days |
| Facilitators and Barriers for implementing continuous monitoring system (interviews) | Facilitators and Barriers for implementing continuous monitoring system in practice (interviews with stakeholders) |
Inclusion Criteria:
In order for a patient to be eligible to participate in this study, the following criteria need to be met:
Exclusion Criteria:
A patient who meets any of the following criteria will be excluded from participation:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Carine JM Doggen, Prof PhD | Contact | +3188 005 6042 | cdoggen@rijnstate.nl |
| Name | Affiliation | Role |
|---|---|---|
| Carine JM Doggen, Prof PhD | Rijnstate Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Rijnstate Hospital | Recruiting | Arnhem | 6800 TA | Netherlands |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38619713 | Derived | Kant N, Garssen SH, Vernooij CA, Mauritz GJ, Koning MV, Bosch FH, Doggen CJM. Enhancing discharge decision-making through continuous monitoring in an acute admission ward: a randomized controlled trial. Intern Emerg Med. 2024 Jun;19(4):1051-1061. doi: 10.1007/s11739-024-03582-y. Epub 2024 Apr 15. | |
| 37316919 | Derived |
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| ID | Term |
|---|---|
| D000075902 | Clinical Deterioration |
| D000208 | Acute Disease |
| ID | Term |
|---|---|
| D018450 | Disease Progression |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| Usual Care | Other | Usual Care Monitoring |
|
| up to 31 days |
| Percentage of Rapid Response Team calls | Percentage of Rapid Response Team calls | up to 31 days |
| Percentage of Intensive Care Unit Admissions | Percentage of Intensive Care Unit Admissions | up to 31 days |
| Percentage of unplanned readmissions to the hospitals | Percentage of unplanned readmissions to the hospitals | up to 31 days |
| up to 31 days |
| Garssen SH, Kant N, Vernooij CA, Mauritz GJ, Koning MV, Bosch FH, Doggen CJM. Continuous monitoring of patients in and after the acute admission ward to improve clinical pathways: study protocol for a randomized controlled trial (Optimal-AAW). Trials. 2023 Jun 15;24(1):405. doi: 10.1186/s13063-023-07416-8. |