The Impact of 24/7-phone Support on Readmission After Aortic Valve Replacement, a Randomized Clinical Trial (AVRre)

March 8, 2018 updated by: Stein Ove Danielsen, Oslo University Hospital
Aortic Valve Replacement (AVR) surgery for aortic valve disease continues to increase in numbers. With better surgical techniques and equipment, also older patients can be operated on, resulting in an growth of the older population. AVR is characterized by high rates of hospital readmissions, resulting in suboptimal care planning and higher health care costs. Hence, it is important to develop strategies to reduce hospital readmissions following AVR. The purpose if this study is to develop and test the efficacy of a 24/7-phone support in the reduction of readmissions after AVR treatment. Secondary outcomes are a reduced level of anxiety, less depressive symptoms and a better health related quality of life.

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

288

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Oslo, Norway
        • Oslo University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Treatment with AVR (biological or mechanical) single, AVR (b or m)+aortocoronary bypass, AVR (b or m)+supra coronary tube graft
  • Can understand, speak and write native Language (norwegian), and be able to fill in the questionnaires
  • Can be contacted by phone after discharge from hospital

Exclusion criteria:

  • Patients who have been admitted to intensive care for more than 24 hours
  • Patients who have complications related to surgery e.g. cerebral insult with significant impact on cognitive functions after surgery

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Usual Care
Today, no post-discharge telephone support is offered as standard care from the hospital.
Experimental: Intervention group
Experimental group is offered 24/7-telephone support during the first 1 month post-discharge, and patients are actively called at day 2 and day 9 day after discharge.
ICU nurses answer the calls from treated AVR patients during the first month after discharge, and use an evidence-based information manual to answer questions from the patients.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Reduced readmissions
Time Frame: 1 year follow-up
Will use data from the national patient registry: Norway Patient Registry (NPR) and data from patient journals to measure the readmission rates. Main measure will be readmission rate 30 days after discharge for Aortic Valve Replacement (AVR).
1 year follow-up

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Reduced anxiety
Time Frame: 1 year follow-up
Will use Hospital Anxiety and Depression Scale (HADS) for measuring outcome on anxiety. Measure times: T0: Before AVR, T1: 1 month after AVR, T2: 3 months after AVR, T4: 6 months after AVR, T5: 1 year after AVR
1 year follow-up
Reduced depression
Time Frame: 1 year follow-up
Will use Hospital Anxiety and Depression Scale (HADS) for measuring outcome on depression. Measure times: T0: Before AVR, T1: 1 month after AVR, T2: 3 months after AVR, T4: 6 months after AVR, T5: 1 year after AVR.
1 year follow-up
Increased health related quality of life
Time Frame: 1 year follow-up
Will use EQ-5D-3L questionnaire from The EuroQol Group to measure health related quality of life. Measure times: T0: Before AVR, T1: 1 month after AVR, T2: 3 months after AVR, T4: 6 months after AVR, T5: 1 year after AVR
1 year follow-up
Reduced costs
Time Frame: 1 year follow-up
Will use data from the national patient registry: Norway Patient Registry, data from the patients journals and data from The Norwegian Health Economics Administration (HELFO). Cost-utility analysis to compare intervention group with the control group.
1 year follow-up

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Stein O Danielsen, Oslo University Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 20, 2015

Primary Completion (Actual)

March 1, 2018

Study Completion (Actual)

March 1, 2018

Study Registration Dates

First Submitted

August 11, 2015

First Submitted That Met QC Criteria

August 11, 2015

First Posted (Estimate)

August 13, 2015

Study Record Updates

Last Update Posted (Actual)

March 9, 2018

Last Update Submitted That Met QC Criteria

March 8, 2018

Last Verified

March 1, 2018

More Information

Terms related to this study

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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