- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05323799
The Optimising Isolation, Quarantine and Distancing Study for COVID-19 (Optimise)
The Australian government swift interventions and actions early to the COVID 19 epidemic included enforced quarantine, isolation, varying degrees of social and physical distancing measures, travel restrictions, community level testing and enhanced contact tracing models which effected the trajectory of the epidemic impact. While the search for effective therapeutics and vaccines continues, it is important to understand how to effectively implement and optimise the current public health interventions available; application of traditional contact tracing , contributions of new contact tracing mobile phone applications, community level testing and use of specific fit for purpose diagnostic tests; to screen, detect and provide evidence of infection clearance.
While the suppression measures have been effective on disease transmission rates, it has had economic, social and non COVID-19 health costs impacts. As community restrictions change it will be important to monitor and evaluate the effectiveness of these key interventions. This is a longitudinal study that will follow the experience and behaviors of 2 key risk populations impacted by COVID-19 transmission containment measures.
Study Overview
Status
Conditions
Detailed Description
This is a mixed methods longitudinal study of a cohort of 1000 participants for a 18 month period. Victorian adults from three key risk populations will be recruited into two longitudinal cohort groups. It will follow the experiences and behaviors of the groups; Recruitment group 1/Seed set 1 - recently diagnosed 'COVID-19 cases' (Group 1) and their social network with up to 2 waves of /Key people, will be followed up for 1 month initially with specific monitoring tools before they will transition into ongoing follow up and monitoring as recruitment group 2 Recruitment group 2/Seed set 2 - people from the general community that are not currently infected with COVID19 'Group 2' that are practicing physical distancing and represent specific key risk groups, and their social network with up to 2 waves of Key people.
Over sampling of vulnerable populations including people with disabilities, single parents and people living alone will be conducted across all groups. Individuals may be invited to participate in more than one cohort when they change between risk population definitions.
The project aims to meet the following objectives using a longitudinal cohort design and a mixed method of qualitative and quantitative tools to enable us to assess changes within individuals over time and to assess the influence of social networks on their health, well-being, attitudes and perceptions.
Objectives of the study are:
- To assess adherence to government intervention strategies (i.e. early testing, isolation and physical distancing) and identify factors that promote/inhibit compliance to intervention strategies designed to reduce transmission.
- To better understand, assess and monitor the unintended health, social and economic consequences of the government interventions to control COVID-19 transmission
- To collect and collate empirical data regarding transmissions dynamics, social contacts and mixing patterns of COVID19 cases , their contacts and key vulnerable groups to develop and refine mathematical models that will improve the precision and timeliness of dynamic transmission estimates.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
-
-
Victoria
-
Melbourne, Victoria, Australia, 3004
- The Macfarlane Burnet Institute for Medical Research and Public Health
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Community participants
Exclusion Criteria:
- Unable to provide consent
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Group 1/Seed set 1 - recently diagnosed 'COVID-19 cases
(Group1) and their social network with up to 2 waves of /Key people, will be followed up for 1 month initially with specific monitoring tools before they will transition into ongoing follow up and monitoring as recruitment group 2
|
|
Group 2/Seed set 2 - people from the general community that are not currently infected with COVID19
'Group 2' that are practicing physical distancing and represent specific key risk groups, and their social network with up to 2 waves of Key people
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change from response in baseline questionnaires to Adherence (non-adherence) with COVID19 transmission containment measures
Time Frame: 18 months
|
Participants will complete questionnaires and diaries as binary daily measure of outcomes of compliance/nonadherence for each individual, determined by their ability to adhere to government regulations
|
18 months
|
|
Change from response in baseline questionnaires depicting what are the unintended health, social and economic consequences of the government response to control COVID19 transmission
Time Frame: 18 months
|
Using data from baseline and follow up questionnaires the researchers will calculate both an individual and a composite variable to assess the following unintended consequence, including:
|
18 months
|
|
What are the social contacts and mixing patterns of COVID-19 cases
Time Frame: 18 months
|
The questionnaire participants will be ask to complete include nominating the number of contacts per day and the time will permit collation of social network data. Using data from the daily diaries (retrospective and prospective) the researchers will calculate:
|
18 months
|
|
What are the types of social contacts and mixing patterns of COVID-19 cases
Time Frame: 18 months
|
The questionnaire participants will be ask to complete will include nominating the relationship with their contacts per day(i.e.
partner, child, friend), and individuals COVID test status, providing detailed specifics of the projects social network data
|
18 months
|
|
Measure of the efficacy of government interventions
Time Frame: 18 months
|
Participants responses to questionnaires, focus group discussions will be used as binary measurers; The researchers will not be using a scale, reporting will be in the format:
|
18 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Collect and collate empirical data of COVID19 cases, contacts and key vulnerable groups
Time Frame: 18 months
|
The researchers will integrate data from adherence outcomes, social contacts and transmission outcomes from diaries and questioners into key analyses; cross sectional social network models, structural equation modelling & social network analyses. Researchers will use empirical data regarding transmission dynamics, social contacts and mixing patterns of COVID19 cases, their contacts and key vulnerable groups to develop and refine mathematical models to improve precision and timeliness of dynamic transmission estimate. The researchers will use social contacts and transmission outcomes to update deterministic compartmental epidemic model to estimate the effect of testing and surveillance on the spread of COVID-19 in Australia. |
18 months
|
|
Assess the effectiveness of government interventions to reduce COVID-19 transmission from questionnaire responses from cohort participants
Time Frame: 18 months
|
Including but not limited to the number/proportion of participants with accurate knowledge of government recommendations and the number/proportion of participants using COVID-19 prevention measures as recommended. The researchers will analyse adherence outcomes using serial cross-sectional approach to estimate a adherence level for participant groups of a) isolation, b) quarantine and c) physical distancing. The researchers will assess changes in adherences over time within participant groups a) isolation, b) quarantine, using chi-square tests of proportions. The researchers will assess changes in adherence to government requirements within participant group c) physical distancing over time, using time to event analysis, such as proportional hazards tests or Cox regression. Researchers are not using individual assessments for analyses. |
18 months
|
Collaborators and Investigators
Investigators
- Principal Investigator: Margaret Hellard, The Macfarlane Burnet Institute for Medical Research and Public Health
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 202007
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.
Clinical Trials on COVID-19
-
PfizerActive, not recruitingCOVID-19 | Coronavirus Disease 2019 (COVID-19) | COVID-19 Infection | COVID-19 Vaccines | SARS-CoV-2 Infection, COVID19 | COVID-19 Vaccination | SARS-CoV-2 Infection, COVID-19 | COVID-19 (Coronavirus Disease 2019) | COVID-19 SARS-CoV-2 InfectionUnited States
-
Shanghai Public Health Clinical CenterNot yet recruiting
-
Duke UniversityNational Institute on Minority Health and Health Disparities (NIMHD)Completed
-
Eggensberger OHGBavarian Health and Food Safety Authority (LGL)RecruitingPost COVID-19 Condition | Post COVID-19 | Post COVID-19 Syndrome | Long COVID-19 Syndrome | Post COVID-19 Condition (PCC)Germany
-
PfizerRecruitingRespiratory Tract Diseases | COVID-19 | Pneumonia | Lung Diseases | Coronavirus Disease 2019 | Coronavirus Disease 2019 (COVID-19) | COVID-19 Infection | Upper Respiratory Tract Infections | Respiratory Tract Infection | COVID-19 (Coronavirus Disease 2019) | COVID-19 SARS-CoV-2 InfectionBelgium
-
ModeX Therapeutics, An OPKO Health CompanyRecruitingCOVID -19 | COVID-19 (Prevention)United States
-
Lawson Research Institute of St. Joseph'sCanadian Institutes of Health Research (CIHR); Western University, CanadaRecruitingFatigue | Post-COVID-19 Syndrome | Post COVID-19 Condition | Post-COVID Syndrome | Long COVID-19 | Long-COVID | Post-COVID ConditionCanada
-
University of Roma La SapienzaQueen Mary University of London; Università degli studi di Roma Foro Italico; Bios Prevention SrlCompletedPost Acute Sequelae of COVID-19 | Post COVID-19 Condition | Long-COVID | Chronic COVID-19 SyndromeItaly
-
Yang I. PachankisActive, not recruitingCOVID-19 Respiratory Infection | COVID-19 Stress Syndrome | COVID-19 Vaccine Adverse Reaction | COVID-19-Associated Thromboembolism | COVID-19 Post-Intensive Care Syndrome | COVID-19-Associated StrokeChina
-
University of Missouri, Kansas CityNational Institute on Minority Health and Health Disparities (NIMHD)Active, not recruitingCOVID-19 Testing BehaviorsUnited States