Improving Safety of Transitions to Skilled Nursing Care Using Videoconferencing

NCT ID: NCT03832257

Last Updated: 2023-11-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

10708 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-09-30

Study Completion Date

2023-08-31

Brief Summary

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This prospective cohort study seeks to determine if the ECHO-CT program, a healthcare videoconferencing program, can improve clinical outcomes while reducing cost and resource utilization when expanded to a community hospital setting. Data will be analyzed on the facility level and patient level.

Detailed Description

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ECHO-Care Transitions is a healthcare outreach program utilizing videoconferencing technology to improve the quality and efficiency of care transitions for medically-complex elderly patients by connecting post-acute care facilities that receive BIDMC patients with a multidisciplinary BIDMC team that sends these patients following discharge. This case-control study seeks to determine if ECHO-CT can improve clinical outcomes and reduce cost and resource utilization during transitions of care in both an academic (BIDMC Boston) and community (BIDMC Needham) hospital.

Our prospective cohort study of the ECHO-CT intervention will take place in the two Boston-area hospitals, one providing tertiary care and one community-based care, in which the outcomes of patients transferred to Skilled Nursing Facilities (SNFs) associated with these hospitals will be compared to those transferred to SNFs from similar hospitals in New England. We will also be comparing outcomes from individual patients enrolled in the ECHO program to matched controls. Using a national database available from the Brown University Center for Gerontology and Healthcare Research, the outcomes of Medicare beneficiaries residing in SNFs that are participating in ECHO-CT will be compared to those in the comparison group using a difference-of-difference analytic approach. Analyses will be adjusted for potential confounders as appropriate.

In this study, the investigators also plan to measure satisfaction as well as process, utilization, cost and patient safety outcomes to determine best practices for implementing the program at a community hospital and affiliated SNFs.

Data will be obtained from the following sources:

1. Protected health information (PHI) from resident assessment data, as well as Medicare claims and enrollment data to be obtained via a data use agreement (DUA) with the Centers for Medicare and Medicaid Services (CMS) by the Brown University Center for Gerontology and Health Care Research during years 2-3 of the study to include the following:

1. The resident Minimum Data Set Resident Assessment (MDS) assessments. The MDS has nearly 400 data elements including cognitive function, communication/hearing problems, physical functioning, continence, psycho-social well-being, mood state, activity and recreation, diagnoses, health conditions, nutritional status, oral/dental status, skin conditions, special treatments, and medication use. The assessments are done for all patients admitted to Medicare and Medicaid certified SNFs, including enrollees in both traditional Medicare and Medicare Advantage. These data will already be housed at Brown University,Brown has an active DUA to obtain quarterly pulls of the population of MDS assessments .
2. Medicare claims which will be used to ascertain 30-day costs, re-hospitalizations, and use of other medical services by Medicare fee for service (FFS) patients admitted to the SNFs. The data also include diagnosis fields to ascertain comorbidities.
3. Medicare enrollment file includes demographic information such as sex and race, dates of birth and death, and various indicators of Medicare/Medicaid eligibility, Part D eligibility, and Medicare Advantage enrollment.
4. BIDMC will collect and share ECHO-CT participating patient's social security number and health insurance claims number with Brown University. Their clinical information will be matched with control patients from the Medicare claims data to show study effect on 30-day costs, re-hospitalizations rate and patient length of stay.
2. In addition to aggregates derived from above, facility level data will come from the Certification and Survey Provider Enhanced Reporting (CASPER) data, which are publicly available and based upon facility surveys for Medicare/Medicaid certification. They will be used in addition to data from "Nursing Home Compare and the Long Term Care: Facts on Care in the US (LTCFocus.org) websites to describe the SNFs.
3. Intervention-specific data: Project-specific quality improvement data derived from questionnaires, staff satisfaction surveys, and structured meeting minutes will be designed and evaluated by BIDMC and Hebrew Senior Life

1. SNF Satisfaction: Every 6 months the investigators will send a satisfaction questionnaire to the hospitals and SNFs participating in ECHO-CT to assess their views of the ECHO-CT sessions, the value of time spent, feelings of empowerment, inter-professional relationships, learning, and recommendations. All answers to the survey questions will be kept strictly confidential. This information will be used to improve the content and organization of the sessions and to develop tools for dissemination (Aim 3). The investigators will develop the satisfaction questionnaire during the first 6 months of the project, building upon our previous survey experience and literature review. Metrics to quantify the quality of transitional care will be derived from the work of Coleman et al.3 and incorporated into the questionnaire. Survey design and evaluation will be conducted by the outcome evaluation group under the leadership of Dr. Thomas Travison at Hebrew SeniorLife's Institute for Aging Research.
2. Process assessment: The investigators will keep attendance logs to assess adherence to the ECHO-CT intervention and its changes over time. Any consistent decline in staff attendance for 2 or more weeks will be followed up by phone calls to assess barriers to participation and corrective actions will be taken. These may include changing to a more convenient time, identifying other providers who can attend instead, contacting facility administrators or medical directors for their support, and providing incentive gifts or continuing education credits In addition, during each ECHO-CT session, the hospital based team will inquire about unexpected outcomes or issues that arose during the transition process, including those related to patients already discussed. This element will allow for an ongoing technology-enabled learning platform and continuous quality improvement mechanism over the course of the proposed project. The value of the video-conferencing approach is that it creates a mutually trusting learning community in which "all teach and all learn."

Conditions

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Acute Disease

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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ECHO CT Intervention

Weekly video conference between hospitalist at Beth Israel and skilled nursing facilities.

Group Type EXPERIMENTAL

ECHO CT Intervention

Intervention Type OTHER

weekly video conference between hospitalist and skilled nursing facilities

Matched Non- Participating Facilities

Matched non-participating facilities

Group Type OTHER

Matched Non-Participating Facilities

Intervention Type OTHER

Matched Non-Participating Facilities

Interventions

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ECHO CT Intervention

weekly video conference between hospitalist and skilled nursing facilities

Intervention Type OTHER

Matched Non-Participating Facilities

Matched Non-Participating Facilities

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* SNF receives approximately the middle third of referral volume (approx. 20-100 referrals/ average 40 per year)
* SNF not so highly engaged with acute hospital that their patients are less likely to benefit from the intervention.
* SNF affiliated with BIDMC Boston or BIDMC Needham

Exclusion Criteria

* Has not recently participated in ECHO CT
* Do not send anyone to ECHO CT training
* Clinicians are unwilling to make a commitment to attend at least 75% of video conferences

Patient Selection:

ECHO-CT Group:


Control Group:
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Brown University

OTHER

Sponsor Role collaborator

Hebrew SeniorLife

OTHER

Sponsor Role collaborator

Beth Israel Deaconess Medical Center

OTHER

Sponsor Role lead

Responsible Party

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Lewis Lipsitz

Professor of Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Beth Israel Deaconess Medical Center

Boston, Massachusetts, United States

Site Status

Countries

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United States

References

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Arora S, Thornton K, Jenkusky SM, Parish B, Scaletti JV. Project ECHO: linking university specialists with rural and prison-based clinicians to improve care for people with chronic hepatitis C in New Mexico. Public Health Rep. 2007;122 Suppl 2(Suppl 2):74-7. doi: 10.1177/00333549071220S214.

Reference Type BACKGROUND
PMID: 17542458 (View on PubMed)

Arora S, Thornton K, Murata G, Deming P, Kalishman S, Dion D, Parish B, Burke T, Pak W, Dunkelberg J, Kistin M, Brown J, Jenkusky S, Komaromy M, Qualls C. Outcomes of treatment for hepatitis C virus infection by primary care providers. N Engl J Med. 2011 Jun 9;364(23):2199-207. doi: 10.1056/NEJMoa1009370. Epub 2011 Jun 1.

Reference Type BACKGROUND
PMID: 21631316 (View on PubMed)

Boltz M, Parke B, Shuluk J, Capezuti E, Galvin JE. Care of the older adult in the emergency department: nurses views of the pressing issues. Gerontologist. 2013 Jun;53(3):441-53. doi: 10.1093/geront/gnt004. Epub 2013 Feb 26.

Reference Type BACKGROUND
PMID: 23442380 (View on PubMed)

Coleman EA, Berenson RA. Lost in transition: challenges and opportunities for improving the quality of transitional care. Ann Intern Med. 2004 Oct 5;141(7):533-6. doi: 10.7326/0003-4819-141-7-200410050-00009.

Reference Type BACKGROUND
PMID: 15466770 (View on PubMed)

Kessler C, Williams MC, Moustoukas JN, Pappas C. Transitions of care for the geriatric patient in the emergency department. Clin Geriatr Med. 2013 Feb;29(1):49-69. doi: 10.1016/j.cger.2012.10.005.

Reference Type BACKGROUND
PMID: 23177600 (View on PubMed)

Moore AB, Krupp JE, Dufour AB, Sircar M, Travison TG, Abrams A, Farris G, Mattison MLP, Lipsitz LA. Improving Transitions to Postacute Care for Elderly Patients Using a Novel Video-Conferencing Program: ECHO-Care Transitions. Am J Med. 2017 Oct;130(10):1199-1204. doi: 10.1016/j.amjmed.2017.04.041. Epub 2017 May 25.

Reference Type BACKGROUND
PMID: 28551043 (View on PubMed)

Marks C, Loehrer S, McCarthy D. Hospital readmissions: measuring for improvement, accountability, and patients. Issue Brief (Commonw Fund). 2013 Sep;24:1-8.

Reference Type BACKGROUND
PMID: 24044140 (View on PubMed)

Mor V, Intrator O, Feng Z, Grabowski DC. The revolving door of rehospitalization from skilled nursing facilities. Health Aff (Millwood). 2010 Jan-Feb;29(1):57-64. doi: 10.1377/hlthaff.2009.0629.

Reference Type BACKGROUND
PMID: 20048361 (View on PubMed)

LaMantia MA, Scheunemann LP, Viera AJ, Busby-Whitehead J, Hanson LC. Interventions to improve transitional care between nursing homes and hospitals: a systematic review. J Am Geriatr Soc. 2010 Apr;58(4):777-82. doi: 10.1111/j.1532-5415.2010.02776.x.

Reference Type BACKGROUND
PMID: 20398162 (View on PubMed)

Austin BJ. Rehospitalization from skilled nursing facilities: implications for policy. Find Brief. 2010 Feb;12(9):1-3.

Reference Type BACKGROUND
PMID: 20222212 (View on PubMed)

Ouslander JG, Diaz S, Hain D, Tappen R. Frequency and diagnoses associated with 7- and 30-day readmission of skilled nursing facility patients to a nonteaching community hospital. J Am Med Dir Assoc. 2011 Mar;12(3):195-203. doi: 10.1016/j.jamda.2010.02.015. Epub 2010 Aug 12.

Reference Type BACKGROUND
PMID: 21333921 (View on PubMed)

Other Identifiers

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2018P000457

Identifier Type: -

Identifier Source: org_study_id