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Trial registered on ANZCTR
Registration number
ACTRN12618000983202
Ethics application status
Approved
Date submitted
9/04/2018
Date registered
12/06/2018
Date last updated
13/04/2021
Date data sharing statement initially provided
15/10/2019
Type of registration
Prospectively registered
Titles & IDs
Public title
PHenotyping Outcomes for clinical Care, QUality and Service
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Scientific title
PHenotyping Outcomes for clinical Care, QUality and Service in Flinders Medical Centre patients.
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Secondary ID [1]
294395
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Nil known
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Universal Trial Number (UTN)
U1111-1211-2009
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Trial acronym
PHOCQUS
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Myocardial infarction
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Heart failure
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Atrial fibrillation
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Condition category
Condition code
Cardiovascular
306237
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0
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Other cardiovascular diseases
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Cardiovascular
306241
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0
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Coronary heart disease
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Intervention/exposure
Study type
Observational
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Patient registry
True
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Target follow-up duration
20
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Target follow-up type
Years
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Description of intervention(s) / exposure
No patient level clinical interventions will be undertaken within the scope of this project. Clinical phenotyping and monitoring of outcome will be conducted parallel to clinical care, but clinicians will not have visibility of the phenotyping process so as not to influence clinical care. The department will continue to provide standard care as per normal practice. Information regarding performance of the system and the clinical cardiology unit will be reported to the Department of Cardiology leadership and governance. Any changes from standard care would come under the aegis of either normal changes in clinical care, or a separate research study with separate HREC approval sought, and any consequent conditions abided by including full informed consent
Phase/stage 1 will use retrospective data only to define and validate electronic phenotypes for arrhythmia (i.e. atrial fibrillation), heart failure (i.e. systolic and diastolic heart failure) and acute coronary syndromes (i.e. myocardial infarction). It will also establish the processes for routine ongoing data-linkage based on unique identifiers held within health datasets and will refine processes for de-identification. No re-identification of data and direct patient contact will be required. No intervention will be conducted for these retrospective patients, and a full waiver of consent has been requested. Only the patient record initially comprising of data from databases that are local to FMC and those that produce aggregate data of a minimum standard, from 2006 onwards, will be used within this retrospective component and no additional patient contact will be sought. Data collection will include information pertinent to patient admissions, discharges, diagnosis, investigations, interventions, procedures, management, pharmacological therapy, outcomes, risk factors and stratification, demographics, social determinants of health and any associated relevant clinical or administrative data.
Phase/stage 2 will build on the data-linkage and de-identification processes of Phase/stage 1 but, using prospective participant data, will incorporate the phenotypic templates into prospective clinical quality registries of acute coronary syndromes, heart failure and arrhythmia. Prospective participant hospital presentation records will be utilised to further refine and validate the phenotypes to ensure the fidelity of the phenotype templates in an ongoing manner. Departmental care will be at the discretion of the treating clinical teams. All clinical assessments shall occur as per standard clinician discretion, both in method, timing, frequency, and scope, given the observational nature of this study. Clinical data is to be recorded either as per standard care or directly into the PHOCQUS database as determined by data variable.
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Intervention code [1]
300686
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Not applicable
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Comparator / control treatment
No control group
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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The primary endpoint will be the diagnostic precision (sensitivity and specificity) of the electronically derived phenotype of myocardial infarction.
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Assessment method [1]
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Timepoint [1]
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Database study: patient data collection relevant to primary endpoint ongoing for minimum of 20 years. Diagnostic precision will be regularly assessed during stage 1 and 2.
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Primary outcome [2]
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The primary endpoint will be the diagnostic precision (sensitivity and specificity) of the electronically derived phenotype of atrial fibrillation.
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Assessment method [2]
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Timepoint [2]
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Database study: patient data collection relevant to primary endpoint ongoing for minimum of 20 years. Diagnostic precision will be regularly assessed during stage 1 and 2.
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Primary outcome [3]
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The primary endpoint will be the diagnostic precision (sensitivity and specificity) of the electronically derived phenotype of heart failure.
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Assessment method [3]
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Timepoint [3]
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Database study: patient data collection relevant to primary endpoint ongoing for minimum of 20 years. Diagnostic precision will be regularly assessed during stage 1 and 2.
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Secondary outcome [1]
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Patient reported outcomes as measured by health-related quality of life questionnaire (EQ-5D).
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Assessment method [1]
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Timepoint [1]
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EQ5D will be administered to a random subgroup of participants 1 year after initial contact with the cardiology department. Participants will be selected at random based on their unique trial-allocated identification number .
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Eligibility
Key inclusion criteria
1. Adult participants who have been admitted to FMC from 2006, regardless of diagnosis and cardiac investigations, noting that the study methodology requires the sampling of patients with and without clinical suspicion of the cardiovascular diseases under question within the retrospective audit as these patients contribute the true negative/false positive patient cohort for sensitivity/specificity analysis.
2. Prospective participants or their legally authorised representatives are capable of providing informed consent, which includes compliance with the requirements and restrictions listed in the opt-out consent form (ICF) and in the study protocol.
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
Prospective participants are excluded from the study if they notify Flinders Cardiology Research that they choose to either withdraw or opt-out of consent. Prior enrolment/participation in this study in not exclusionary.
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Study design
Purpose
Natural history
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Duration
Longitudinal
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Selection
Defined population
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Timing
Both
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Statistical methods / analysis
Approximately 1,000,000 hospital presentation records will be screened retrospectively to achieve training and validation datasets. We will use a training dataset of 20,000 hospital separations and corresponding ED presentations across the 3 main diagnostic groups (myocardial infarction, heart failure and atrial fibrillation), and use a validation dataset of 50,000 hospital separations randomly selected from the administrative process. The diagnoses of interest account for approximately 7% of hospital separations. This is anticipated to yield 1400 cardiac diagnosis (~500 myocardial infarction, ~500 heart failure, and ~400 atrial fibrillation) in the training dataset and 3500 cardiac diagnoses (~1250 myocardial infarction, ~1250 heart failure, and ~1000 atrial fibrillation). PHOCQUS data will be evaluated for individual, cohort and system-related risk factors for those relevant to developing phenotypical templates.
Stratification, covariate selection, data reduction through principal components analysis or factor analysis, natural language processing for narrative records and other statistical approaches will be utilized as appropriate. Incremental development of the evolving phenotype specification will employ standard receiving operating characteristic methodology, as well as net reclassification improvement and integrated discrimination improvement methodologies, using the clinically determined diagnosis of myocardial infarction, atrial fibrillation and heart failure as the “gold standards”. Exploratory analyses using Bayesian logistic regression methods will be undertaken using smaller “sub-datasets” to examine the predictive utility of employing prior probability of the specific cardiovascular diagnoses in order to improve the diagnostic performance on small datasets. Standard descriptive statistics such as mean and SD or median and range will be reported for continuous variables and proportions will be reported for categorical variables. Means and proportions will be compared using t-tests, chi-square tests or fishers exact test as appropriate. Statistical significance will be ascertained at p<0.05.
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
1/07/2018
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Actual
21/01/2019
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Date of last participant enrolment
Anticipated
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Actual
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
1150000
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Accrual to date
80000
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Final
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Recruitment in Australia
Recruitment state(s)
SA
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Recruitment hospital [1]
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Flinders Medical Centre - Bedford Park
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Recruitment postcode(s) [1]
22116
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5042 - Bedford Park
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Funding & Sponsors
Funding source category [1]
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University
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Name [1]
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Flinders University
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Address [1]
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1 Sturt Rd, Bedford Park
South Australia 5042
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Country [1]
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Australia
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Primary sponsor type
University
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Name
Flinders University
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Address
1 Sturt Rd, Bedford Park
South Australia 5042
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
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None
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Address [1]
298265
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Country [1]
298265
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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SA Department for Health and Wellbeing Human Research Ethics Committee
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Ethics committee address [1]
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PO Box 287 Rundle Mall SA 5000
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Ethics committee country [1]
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Australia
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Date submitted for ethics approval [1]
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10/05/2018
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Approval date [1]
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07/08/2018
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Ethics approval number [1]
299965
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Summary
Brief summary
Within cardiovascular medicine, the process of diagnosis and risk assessment is no longer heavily reliant on clinical intuition alone, but rather increasingly dependent on objectively assessable and electronically recorded information. By harnessing the organ-system and social phenotypes already captured within existing health information systems, this data repository will establish a real-time clinical and health service laboratory that can explore and evaluate the organic biology of the healthcare process model and the people for which it provides care. PHOCQUS aims to develop digital phenotypes of cardiovascular diseases and care, patient comorbidities and social determinants of health, health service characteristics, and measure outcomes through an automated data retrieval and collation by linking currently collected routine clinical health service use and demographic data from various electronic health information systems for all patients under the custodianship of the Cardiology department at Flinders Medical Centre. This study will provide the groundwork for evaluating impacts of health policy and service redesign. Such a repository will also feed back into routinely collected data increasing data integrity, reducing “missingness”, improving interfaces and further standardizing data definitions and workflows. The overall aim of this project is the development of validated data specifications that will enable the implementation of low cost, yet high fidelity, routine clinical quality registries in cardiovascular care.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Derek Chew
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Address
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Flinders Medical centre,
1 Flinders Drive, Bedford Park 5042
South Australia
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Country
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Australia
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Phone
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+61884042001
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Erin Morton
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Address
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Department of Cardiovascular Medicine
Flinders Medical centre,
1 Flinders Drive, Bedford Park 5042
South Australia
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Country
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Australia
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Phone
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+61882045836
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
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Erin Morton
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Address
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Department of Cardiovascular Medicine
Flinders Medical centre,
1 Flinders Drive, Bedford Park 5042
South Australia
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Country
82112
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Australia
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Phone
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+61882045836
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Fax
82112
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Email
82112
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
Will be considered in future.
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What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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