Optimizing Prescribing of Antipsychotics in Long-Term Care (OPAL)

June 22, 2018 updated by: Dr. Dallas Seitz, Queen's University

Optimizing Prescribing of Antipsychotics in Long-Term Care (OPAL): A Randomized Trial to Reduce Inappropriate Antipsychotic Prescribing in Long-Term Care

Inappropriate antipsychotic prescribing is a key quality indicator by which clinical outcomes might be monitored and improved in LTC. A multi component intervention to reduce inappropriate antipsychotic prescribing was evaluated in ten Canadian long-term care facilities.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Increasing numbers of older adults are affected by dementia, and many will eventually reside in long-term care (LTC), where antipsychotic use is relatively common. Inappropriate antipsychotic prescribing is a key quality indicator by which clinical outcomes might be monitored and improved in LTC but limited evidence exists on the most effective strategies for reducing inappropriate antipsychotic use.

The objective of the study was to evaluate a multicomponent approach to reduce inappropriate prescribing of antipsychotics in LTC.

A prospective, randomized stepped-wedge, study design was used to evaluate the effect of the intervention in 10 LTC facilities in Canada. The intervention consisted of an educational in-service, provision of evidence-based tools to assess and monitor neuropsychiatric symptoms (NPS) and monthly interprofessional team meetings.

Study Type

Interventional

Phase

  • Not Applicable

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

60 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Diagnosis of dementia
  • Receiving an antipsychotic medication without a diagnosis of psychosis

Exclusion Criteria:

  • Diagnoses of schizophrenia, Huntington's disease
  • Presence of active hallucinations and/or delusions
  • Individuals at end of live or receiving palliative care

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: Sequential Assignment
  • Masking: None (Open Label)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Percentage of long-term care residents receiving any antipsychotic without a diagnosis of psychosis
Time Frame: 12-months
The proportion of long-term care residents receiving any antipsychotic without a diagnosis of psychosis is a quality indicator is used by the Canadian Institute for Health Information to determine potentially inappropriate antipsychotic use. The quality indicator is calculated using information routinely collected on Resident Assessment Index-Minimum Dataset (RAI-MDS) assessments by determining the number of individuals who received antipsychotics on one of more days in the 7 days preceding index (RAI-MDS item O4a ≥ 1). Individuals with schizophrenia, Huntington's disease, hallucinations, delusions, those with a limited life expectancy and those currently receiving palliative care are excluded from the numerator and denominator of this indicator.
12-months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Worsening of behavioral symptoms
Time Frame: 12-months
Proportion of residents who had one or more of the following behavioural symptoms: wandering, physically or verbally abusive, or socially inappropriate behaviours) present on their target RAI-MDS assessment than on their prior assessment.
12-months
Use of physical restraints
Time Frame: 12-months
Proportion of residents in daily physical restraints as of the target RAI-MDS assessment.
12-months
Depression: Proportion of residents whose mood from symptoms of depression worsened
Time Frame: 12-months
Proportion of residents whose mood from symptoms of depression worsened compared to the previous RAI-MDS assessment.
12-months
Falls: Proportion of residents experiencing a fall in the 30 day
Time Frame: 12-months
Proportion of residents experiencing a fall in the 30 days preceding the RAI-MDS assessment.
12-months
Pain: Proportion of residents who had pain
Time Frame: 12-months
Proportion of residents who had pain on their target RAI=MDS assessment.
12-months

Collaborators and Investigators

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

January 1, 2016

Primary Completion (Actual)

October 1, 2017

Study Completion (Actual)

December 1, 2017

Study Registration Dates

First Submitted

April 6, 2018

First Submitted That Met QC Criteria

June 14, 2018

First Posted (Actual)

June 15, 2018

Study Record Updates

Last Update Posted (Actual)

June 26, 2018

Last Update Submitted That Met QC Criteria

June 22, 2018

Last Verified

June 1, 2018

More Information

Terms related to this study

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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