Feedback to Improve Rational Strategies of Antibiotic Initiation and Duration in Long Term Care (FIRST AID-LTC)

August 23, 2021 updated by: Nick Daneman, Institute for Clinical Evaluative Sciences

Feedback to Improve Rational Strategies of Antibiotic Initiation and Duration in Long Term

There is a high rate of inappropriate antibiotic use in long-term care (LTC) facilities, with both unnecessary initiation and prolongation of treatments. Although there are challenges to rational antibiotic use in LTC, the variability in antibiotic initiation and use of prolonged treatment durations is driven by prescriber tendencies rather than resident characteristics. Audit-and-feedback is a well-established intervention to improve professional practices, and is ideally suited for use to improve antibiotic prescribing tendencies in LTC. The literature is saturated with trials indicating benefit of audit-and-feedback, but is in dire need of studies to identify methods to improve the impact of this technique. Health Quality Ontario (HQO), a key partner in the FIRST AID-LTC research program, is already providing audit-and-feedback for other inappropriate prescribing practices in LTC, and has identified antibiotic prescribing as a priority focus.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Overarching Goals

The overarching goals of FIRST AID - LTC are two-fold:

  1. Improve rational antibiotic prescribing by physicians to minimize harms among LTC residents.
  2. Advance the science of audit-and-feedback to improve physician prescribing practices.

Specific Aims

To improve rational antibiotic prescribing in LTC:

  1. by decreasing unnecessary initiation of antibiotic treatments among Ontario LTC residents, as well as the variability in initiation rates across LTC prescribers.
  2. by decreasing unnecessary prolonged duration of antibiotic treatments among Ontario LTC residents, as well as the variability in prolonged duration treatment use across LTC prescribers.

To advance audit-and-feedback implementation science:

1. by evaluating whether a dynamic audit-and-feedback report highlighting antibiotic prescribing can lead to greater reductions in antibiotic use, than a static paginated report

Anticipated Contributions to Health-Related Knowledge

Although the literature is inundated with trials examining the impact of audit-and-feedback compared to usual care, there is a need for studies to improve audit-and-feedback delivery. FIRST AID-LTC will test optimal delivery and peer comparison techniques for audit-and-feedback. The knowledge learned can be extrapolated to antibiotic interventions in LTC in other provinces across Canada, as well more broadly to inappropriate medication prescribing practices in LTC.

Anticipated Contributions to Health Care, Health Systems and Health Outcomes

FIRST AID-LTC will lead to immediate reductions in excess antibiotic use in Ontario LTC facilities, which in turn should result in substantial reductions in direct drug costs, as well as downstream complications of allergy, organ toxicity, C. difficile infections and antimicrobial resistance. With easy transferability to other Canadian provinces, the improvements in cost-savings and patient outcomes could be massive in scope.

Study Type

Interventional

Enrollment (Actual)

356

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

    • Ontario
      • Toronto, Ontario, Canada, M4N 3M5
        • ICES

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

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

To Identify an LTC Resident

Inclusion Criteria:

An individual having a minimum of 2 records on separate days within the quarter meeting any combination of the following criteria:

  • a record for a non-emergency long-term care inpatient services OR
  • an Ontario Drug Benefits record administered in long-term care

Index date = The analysis will be anchored on the most recent of either of the records above within a given quarter or their date of death (whichever date is earliest)

Exclusion Criteria:

  • Non-Ontario resident at index date
  • Invalid age (age<19 or age>115) at index date
  • Missing or invalid sex or date of birth at index date
  • Death date is >7 days before index date
  • If the individual does not live in a nursing home or home for the aged
  • Cannot be linked to a Most Responsible Physician (MRP) (see methodology below)

To Identify the Most Responsible Physician (MRP) Using Virtual Rostering

For each patient in the above resident cohort, the study team will retrieve all records from health care providers in the 6 month period preceding the index date (180 days), keeping only records from physicians who have a specialty of 1) general practice, 2) community medicine or 3) geriatrics.

Steps for MRP assignment:

Step 1) The study team will first select physicians with the highest count of records for the monthly management of a nursing home or home for the aged. This is completed for as many residents as possible.

Step 2) If there were no monthly management fee records as described above then the physician with highest count of non-emergency long-term care inpatient services records for each patient will be selected. This step is only applied to residents who could not be matched to a physician by Step 1. **Physician must have seen the patient one or more times in 90 days prior to and including index date to be considered MRP. This criteria is applied to ensure the physician has seen the resident within the reporting quarter.

Step 3) Some patients will virtually roster to physicians in Enrollment groups, some will virtually roster to physicians that are not in a group. For these, the study team will recode enrollment program type to 'NOR' (not otherwise rostered) - these are likely fee for service physicians.

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
  • Masking: TRIPLE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
ACTIVE_COMPARATOR: Dynamic/Interactive Report
LTC physician receives dynamic/interactive report only
Evaluate whether a stand-alone interactive audit-and-feedback report highlighting antibiotic prescribing can lead to greater reductions in antibiotic use, than a report embedded in a broader static feedback system
NO_INTERVENTION: Static/Paginated Report
LTC physician receives static/paginated report only
ACTIVE_COMPARATOR: LTC Physicians Enrolled in Reports

All LTC physicians who receive a dynamic or paginated report

[note: this is not part of randomization assignment, but a quasi-experimental study]

Evaluate whether being provided an audit-and-feedback report (regardless of dynamic or static) can lead to greater reductions in antibiotic use, than those who do not receive either report
NO_INTERVENTION: LTC Physicians Not Enrolled in Reports

All LTC physicians who do not receive a dynamic or paginated report

[note: this is not part of randomization assignment, but a quasi-experimental study]

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Antibiotic initiation
Time Frame: 3 months
Median % of patients initiated on an antibiotic
3 months
Antibiotic duration
Time Frame: 3 months
Median % of antibiotic treatments prolonged >7 days
3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
ER visit or hospitalization for antibiotic harms
Time Frame: 3 months
To test for harms related to decreased antibiotic use by comparing the percentage of LTC physicians' patients that experience an infection-related ER visit or admission
3 months
Anti-psychotic use
Time Frame: 3 months
The percent reduction in anti-psychotic use
3 months
Benzodiazepine use
Time Frame: 3 months
The percent reduction in benzodiazepines
3 months
ER visit or hospitalization for infection
Time Frame: 3 months
The percentage of a LTC physicians' patients that experienced an ER visit or hospitalization due to a potential antibiotic-related harm, including: allergy, general medication adverse event, diarrhea, C. difficile infection, or infection with an antibiotic-resistant organism
3 months
Net Clinical impact
Time Frame: 3 months
Measure the net clinical impact of the intervention, by comparing all-cause ER visits and hospitalizations and mortality
3 months

Collaborators and Investigators

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

Sponsor

Collaborators

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)

May 15, 2017

Primary Completion (ACTUAL)

April 30, 2020

Study Completion (ACTUAL)

March 31, 2021

Study Registration Dates

First Submitted

January 15, 2019

First Submitted That Met QC Criteria

January 15, 2019

First Posted (ACTUAL)

January 17, 2019

Study Record Updates

Last Update Posted (ACTUAL)

August 25, 2021

Last Update Submitted That Met QC Criteria

August 23, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 441-2017

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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