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| Name | Class |
|---|---|
| Brooks Health System | UNKNOWN |
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This study will evaluate the efficacy of home telemonitoring as an intervention to decrease hospital readmissions in patients at high risk for readmission. The overall readmission rate for high-risk MCF hospital patients is approximately 20%. Currently a system is in place to identify and score all MCF patients for their risk of readmission. This score is based on multiple variables including but not limited to: co-morbid conditions, patient's health literacy, whether they are a Medicare/Medicaid patient, their in-home social support, and whether they have had prior hospital admissions within the previous year. The literature shows that home telemonitoring of patients has had mixed results for effectiveness at preventing hospitalizations and emergency department visits. Many of these reports have restricted studies to patients with specific diseases or general characteristics; some have shown improved results while others have not. No study has examined patients who are high risk for readmission to determine if home telemonitoring for 30 days post-discharge reduces the risk for 30-day readmission.
We hope to enroll a total of 1900 participants, 950 in each arm, over the next 2 years. One arm will be the telemonitoring group and one arm will be the standard of care group. Participants will be in the study for 30 days. Participants in the telemonitoring group will receive a Telestation, blood pressure monitor, and pulse oximeter. If the participant also has congestive heart failure, they will receive a scale. All of these vital measurements are to be taken on a daily basis along with survey questions on how the patient feels. If set parameters are out of the normal range, a flag will trigger that requires follow up/intervention from a nurse by telephone. In some cases, the participant might need to come back in to see a physician through the outpatient clinic. The participant in the standard of care group will be contacted via phone 30 days after discharge to learn if they were readmitted to any hospitals or had any emergency room visits during the past 30 days. This data will be collected via Philips software and also entered into the RedCap database here at Mayo Clinic.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Standard of care | No Intervention | patients will receive standard of care discharge instructions | |
| Philips Telehealth | Active Comparator | patients will be discharged with a telemonitoring device for 30 days |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Philips Telehealth | Device | patients will be provided with a philips home telemonitoring system post hospital discharge |
|
| Measure | Description | Time Frame |
|---|---|---|
| Changes in Readmissions into Hospital | Compare 30-day readmission rates between high-risk patients who are home monitored using technology and high-risk patients who receive the current standard care. | 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Changes in Readmissions in the Emergency Room | Compare 30-day emergency department visit rates between high-risk patients who are home monitored using technology and high-risk patients who receive current standard care. | 30 days |
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Inclusion Criteria:
1) readmission risk score of 11 or higher 2) may be from any service in the hospital 3) patient discharged home or 4) patient discharged to skilled nursing/rehabilitation
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Nancy Dawson, MD | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic | Jacksonville | Florida | 32224 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33506388 | Derived | Dawson NL, Hull BP, Vijapura P, Dumitrascu AG, Ball CT, Thiemann KM, Maniaci MJ, Burton MC. Home Telemonitoring to Reduce Readmission of High-Risk Patients: a Modified Intention-to-Treat Randomized Clinical Trial. J Gen Intern Med. 2021 Nov;36(11):3395-3401. doi: 10.1007/s11606-020-06589-1. Epub 2021 Jan 27. |
| Label | URL |
|---|---|
| Mayo Clinic Clinical Trials | View source |
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patients deidentified