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| ID | Type | Description | Link |
|---|---|---|---|
| R01HS018047 | U.S. AHRQ Grant/Contract | View source |
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| Name | Class |
|---|---|
| Agency for Healthcare Research and Quality (AHRQ) | FED |
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The system of medical care for older adults with acute illnesses often serves them poorly. Many factors limit these patients' access to safe, patient-centered, efficient, high-quality, acute care. These factors include a shortage of geriatricians and primary care physicians; limited availability of timely, acute-illness, patient appointments; emergency department (ED) crowding; interruptions to the continuity of care when patients use the ED; and poor transitions of care from the ambulatory setting to the ED. These conditions foster unnecessary ED use, adverse events in the ED for which older adults are particularly at-risk, and unnecessary medical costs. As the population ages, the magnitude of these problems will only increase.
The overarching study goals are to develop and evaluate a telemedicine-enhanced care model that improves access to safe, high-quality, acute illness care for older adults; fosters appropriate use of health services; and reduces unnecessary expenditures. Specifically, this study aims to:
Expand the existing pediatric HeA telemedicine network to older adults by providing senior living communities (SLC) with an alternative on-site care option for individuals with an acute illness episode.
Hypothesis 1: 90% of requested telemedicine visits will be successfully completed.
Evaluate the impact of the HeA telemedicine model on utilization, quality of care, and patient safety.
Hypothesis 2: The rate of ED use will be lower at SLCs with access to care via telemedicine, as compared to SLCs without such access to care.
Hypothesis 3: Quality of care and patient safety measures will be better for SLC residents with access to telemedicine-enhanced care than for residents without this form of access.
Evaluate the economic benefit of the care delivered through the telemedicine network.
Hypothesis 4: The net cost of healthcare per patient-month will be less for SLC residents with access to telemedicine-enhanced care than for those without this form of access.
Use qualitative methods to identify strategies and assets that promote and conditions that impede the implementation, acceptance, and success of the HeA telemedicine network in SLCs. This knowledge will inform efforts to develop a toolkit to be used to disseminate this technology broadly.
Telemedicine is a potential solution with demonstrated effectiveness in other vulnerable populations. Previous work by members of this research team has shown that telemedicine is an effective health information technology solution to address similar challenges in multiple vulnerable populations, demonstrating both improved access to care and reduced ED visits. The existing telemedicine program in Rochester, Health-e-Access (HeA), has been both successful and sustained, and well accepted by all key stakeholders including patients, families, clinicians, and insurers. This existing program, combined with the experience and multidisciplinary expertise of the investigators research team, creates a unique opportunity to (1) develop a model of care that leverages this technology to improve geriatric acute care, (2) evaluate this model through a prospective cohort study, and (3) identify key barriers and drivers of implementation to promote dissemination.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | Group without access to telemedicine in the home for acute care issues. | ||
| Telemedicine care | Cohort with access to telemedicine in the home for acute care issues. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Telemedicine care | Other | Availability of telemedicine |
|
| Measure | Description | Time Frame |
|---|---|---|
| Emergency Department Use | Use of emergency department by individuals with access to care via telemedicine as compared to those without such access to care. | Up to 42 months |
| Measure | Description | Time Frame |
|---|---|---|
| Cost of Care | Comparison of cost of care between intervention and control groups. | Up to 36 months |
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Inclusion Criteria:
Exclusion Criteria:
- None
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Adults residing in senior living communities.
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| Name | Affiliation | Role |
|---|---|---|
| Manish N. Shah, MD | University of Rochester | Principal Investigator |
| Kenneth McConnochie, MD | University of Rochester | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Rochester | Rochester | New York | 14642 | United States |
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We excluded 15 individuals from analysis because they left the facility and the study less than 1 month after starting, and they were significantly different than the rest of the population. We felt that they has been mistakenly accepted into an independent or assisted living and recognized this and moved out to an alternate level of care.
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| ID | Title | Description |
|---|---|---|
| FG000 | Control | Group without access to telemedicine in the home for acute care issues. |
| FG001 | Telemedicine Care | Cohort with access to telemedicine in the home for acute care issues. Telemedicine care: Availability of telemedicine |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | Control | Group without access to telemedicine in the home for acute care issues. |
| BG001 | Telemedicine Care | Cohort with access to telemedicine in the home for acute care issues. Telemedicine care: Availability of telemedicine |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Median |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Emergency Department Use | Use of emergency department by individuals with access to care via telemedicine as compared to those without such access to care. | Posted | Number | Emergency dept use rate per person-month | Up to 42 months |
|
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Control | Group without access to telemedicine in the home for acute care issues. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Manish N. Shah | University of Rochester | 585-276-6565 | manish_shah@urmc.rochester.edu |
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| ID | Term |
|---|---|
| D017216 | Telemedicine |
| ID | Term |
|---|---|
| D003695 | Delivery of Health Care |
| D010346 | Patient Care Management |
| D006298 | Health Services Administration |
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| BG002 | Total | Total of all reporting groups |
| years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| Units |
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| Counts |
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| Participants |
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| Secondary | Cost of Care | Comparison of cost of care between intervention and control groups. | The cost data was not available from the Finance Office from Rochester General Hospital or Thompson Hospital so this analysis was not performed. | Posted | Up to 36 months |
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| 0 |
| 1,058 |
| 0 |
| 1,058 |
| EG001 | Telemedicine Care | Cohort with access to telemedicine in the home for acute care issues. Telemedicine care: Availability of telemedicine | 0 | 479 | 0 | 479 |
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