Physical Disorders, Telemedicine
Conditions
Keywords
Telemedicine, Geriatrics
Brief summary
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: 1. 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. 2. 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. 3. 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. 4. 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.
Detailed description
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.
Interventions
Availability of telemedicine
Sponsors
Study design
Eligibility
Inclusion criteria
* Member of the Strong Health Geriatrics Group practice * Consent to participate * Resident of facility with telemedicine established
Exclusion criteria
\- None
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Emergency Department Use | Up to 42 months | Use of emergency department by individuals with access to care via telemedicine as compared to those without such access to care. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Cost of Care | Up to 36 months | Comparison of cost of care between intervention and control groups. |
Countries
United States
Participant flow
Pre-assignment details
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.
Participants by arm
| Arm | Count |
|---|---|
| Control Group without access to telemedicine in the home for acute care issues. | 1,058 |
| Telemedicine Care Cohort with access to telemedicine in the home for acute care issues.
Telemedicine care: Availability of telemedicine | 479 |
| Total | 1,537 |
Baseline characteristics
| Characteristic | Control | Total | Telemedicine Care |
|---|---|---|---|
| Age, Continuous | 85 years | 85 years | 85 years |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Black or African American | 36 Participants | 63 Participants | 27 Participants |
| Race (NIH/OMB) More than one race | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) White | 1022 Participants | 1474 Participants | 452 Participants |
| Region of Enrollment United States | 1058 participants | 1537 participants | 479 participants |
| Sex: Female, Male Female | 746 Participants | 1093 Participants | 347 Participants |
| Sex: Female, Male Male | 312 Participants | 444 Participants | 132 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | — / — | — / — |
| other Total, other adverse events | 0 / 1,058 | 0 / 479 |
| serious Total, serious adverse events | 0 / 1,058 | 0 / 479 |
Outcome results
Emergency Department Use
Use of emergency department by individuals with access to care via telemedicine as compared to those without such access to care.
Time frame: Up to 42 months
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Control | Emergency Department Use | 0.1050 Emergency dept use rate per person-month |
| Telemedicine Care | Emergency Department Use | 0.0885 Emergency dept use rate per person-month |
Cost of Care
Comparison of cost of care between intervention and control groups.
Time frame: Up to 36 months
Population: The cost data was not available from the Finance Office from Rochester General Hospital or Thompson Hospital so this analysis was not performed.