Advancing the Patient Experience in Chronic Obstructive Pulmonary Disease (APEX COPD) (APEX COPD)

February 23, 2020 updated by: Optimum Patient Care
APEX COPD is registry to provide a mechanism to standardize, store and utilize data to enable greater power to answer key research questions, and to improve patient outcomes in COPD primary care.

Study Overview

Detailed Description

In the process of creating of a high-quality longitudinal dataset combining COPD templates and patient reported information and outcome (PRIO) to evaluate outcomes the APEX COPD registry supports changes and improvements in medical practice and deliver high quality research through the following mechanisms:

  • Templates integrated into the primary care clinical systems to support standardization of care and data over time.
  • Informing doctors at the point of consultation about the status of their patients through data-driven feedback.
  • Pre-filled electronic data templates from existing EHR data and questionnaires to reduce administrative burden for Primary Care Clinicians (PCC).
  • Engaging primary care clinicians in ongoing quality improvement initiatives directly at the point of care.
  • Research publications regarding treatment effectiveness and associated risk in mild to moderate COPD, reason for therapy switch/escalation and hidden undiagnosed and untreated COPD patients in primary care.
  • A strong network of primary care clinicians caring for patients with COPD in the US to drive the initiative and ensure impact on clinical practice through educational events, academic organizations and research outputs.

The APEX COPD steering committee (SC) comprise of collective clinical expertise, scientific knowledge and experience in EHR, databases and research, forming an essential element of the APEX COPD registry. The SC plays an essential role in the development and governance of the APEX COPD registry, representing the sites participating, and providing the expertise necessary to implement and drive the initiative. Within this committee a smaller management group guides the operational aspects of the registry.

The research database uses the Observational Medical Outcomes Partnership (OMOP) v5 Common Data Model (CDM) and the OMOP terminology will be updated at least bi-annually. Standardized OMOP Concept IDs will utilize SNOMED, RxNorm and may be adjusted to improve data compatibility with other OPC COPD databases.

Study Type

Observational

Enrollment (Anticipated)

4500

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

    • Colorado
      • Fort Collins, Colorado, United States, 80528
        • Miramont Family Medicine
    • New York
      • Buffalo, New York, United States, 14201
        • Urban Family Practice
    • Ohio
      • Cleveland, Ohio, United States, 44109
        • MetroHealth System
    • Texas
      • San Antonio, Texas, United States, 78249
        • Bandera Family Health Care

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

35 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The study populations comprise of patients aged over 35 years and receiving care for COPD at participating primary care sites across the US in accordance with local regulatory/ethical requirements.

Description

Inclusion Criteria:

  • Diagnostic code for COPD or COPD monitoring review code prior to or at consultation
  • Aged ≥35 years at COPD diagnosis

Exclusion Criteria:

  • Patients receiving hospice care
  • Patients being actively treated for a cancer diagnosis (not skin)

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

  • Observational Models: Case-Only
  • Time Perspectives: Other

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Describe and characterize the COPD primary care patient population's natural history
Time Frame: 31 December 2018 to 31 December 2022
Baseline data from electronic health record (EHR) and patient reported information and outcomes (PRIO). The EHR data will be updated every three months.
31 December 2018 to 31 December 2022
Evaluate the comparative clinical, safety and cost effectiveness of current COPD treatments by class of therapy for COPD overall and in specific patient groups/phenotypes, to understand the predictors of response to available COPD treatment options
Time Frame: 31 December 2018 to 31 December 2022
Patient reported information and outcomes (PRIO) will be collected annually and before very visit to their doctor
31 December 2018 to 31 December 2022

Secondary Outcome Measures

Outcome Measure
Time Frame
Improve quality of care, and primary care patient outcomes
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Understand the clinical phenotypes
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Understand the current burden and minimize side effects
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Support the development of effective and efficient diagnostic routines
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
comparing clinician-diagnosed COPD at baseline against established
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Describe disease management pattern
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Assess impact of inhaler technique
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Describe factors associated with treatment choice at baseline
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Describe risk factors
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Assess the occurrence of exacerbations and other conditions
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
Assess biomarker data and estimate their predictive value for disease diagnosis
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022
identify patients who may be eligible for participation in future research studies
Time Frame: 31 December 2018 to 31 December 2022
31 December 2018 to 31 December 2022

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)

March 23, 2019

Primary Completion (Anticipated)

December 31, 2022

Study Completion (Anticipated)

December 31, 2022

Study Registration Dates

First Submitted

February 23, 2020

First Submitted That Met QC Criteria

February 23, 2020

First Posted (Actual)

February 26, 2020

Study Record Updates

Last Update Posted (Actual)

February 26, 2020

Last Update Submitted That Met QC Criteria

February 23, 2020

Last Verified

February 1, 2020

More Information

Terms related to this study

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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