Evidence map›Paper›PMID 38216183›Full record

ArticleBMJ open2024

Priority populations' experiences of isolation, quarantine and distancing for COVID-19: protocol for a longitudinal cohort study (Optimise Study).

Alisa Pedrana, Anna Bowring, Katherine Heath, Alexander J Thomas, Anna Wilkinson, Stephanie Fletcher-Lartey, Freya Saich, Stephanie Munari, Jane Oliver, Bronwen Merner and 48 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05323799 (The Optimising Isolation, Quarantine and Distancing Study for COVID-19), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05323799 unknown statusnot on this map

The Optimising Isolation, Quarantine and Distancing Study for COVID-19 (Optimise)

TypeobservationalSponsorMacfarlane Burnet Institute for Medical Research and Public Health LtdRan2020 to 2024Enrolled1,000ConditionsCOVID-19
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

58 authors.

Alisa PedranaBurnet Institute, Melbourne, Victoria, Australia Alisa.Pedrana@burnet.edu.au.ORCID 0000-0002-1998-5722
Anna BowringBurnet Institute, Melbourne, Victoria, Australia.
Katherine HeathBurnet Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-4752-9732
Alexander J ThomasBurnet Institute, Melbourne, Victoria, Australia.
Anna WilkinsonBurnet Institute, Melbourne, Victoria, Australia.
Stephanie Fletcher-LarteyBurnet Institute, Melbourne, Victoria, Australia.
Freya SaichBurnet Institute, Melbourne, Victoria, Australia.
Stephanie MunariBurnet Institute, Melbourne, Victoria, Australia.
Jane OliverDepartment of Infectious Diseases, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.ORCID 0000-0001-5548-7512
Bronwen MernerCentre for Health Communication and Participation, La Trobe University, Melbourne, Victoria, Australia.
Aimee AltermattBurnet Institute, Melbourne, Victoria, Australia.
Thi NguyenBurnet Institute, Melbourne, Victoria, Australia.
Long NguyenBurnet Institute, Melbourne, Victoria, Australia.ORCID 0000-0003-3519-8275
Kathryn YoungBurnet Institute, Melbourne, Victoria, Australia.
Phoebe KerrBurnet Institute, Melbourne, Victoria, Australia.
Deborah OsborneBurnet Institute, Melbourne, Victoria, Australia.
Edwin Jit Leung KwongBurnet Institute, Melbourne, Victoria, Australia.
Martha Vazquez CoronaMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Tianhui KeBurnet Institute, Melbourne, Victoria, Australia.
Yanqin ZhangBurnet Institute, Melbourne, Victoria, Australia.
Limya EisaBurnet Institute, Melbourne, Victoria, Australia.
Adil Al-QassasBurnet Institute, Melbourne, Victoria, Australia.
Deng MalithBurnet Institute, Melbourne, Victoria, Australia.
Angela DavisBurnet Institute, Melbourne, Victoria, Australia.
Lisa GibbsMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Karen BlockMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Danielle HoryniakBurnet Institute, Melbourne, Victoria, Australia.
Jack WallaceBurnet Institute, Melbourne, Victoria, Australia.
Robert PowerBurnet Institute, Melbourne, Victoria, Australia.
Danny VadaszHealth Issues Centre, Melbourne, Victoria, Australia.
Rebecca RyanCentre for Health Communication and Participation, La Trobe University, Melbourne, Victoria, Australia.
Freya ShearerCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Caroline HomerBurnet Institute, Melbourne, Victoria, Australia.
Alex CollieSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-2617-9339
Niamh MeagherDepartment of Infectious Diseases, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Margaret DanchinMurdoch Childrens Research Institute, Parkville, Victoria, Australia.
Jessica KaufmanMurdoch Childrens Research Institute, Parkville, Victoria, Australia.
Peng WangSchool of Business, Law and Entrepreneurship, Swinburne University of Technology, Hawthorn, Victoria, Australia.
Ali HassaniSNA Toolbox, Melbourne, Victoria, Australia.
Giovanni Radhitio Putra SadewoDeakin University Faculty of Arts and Education, Melbourne, Victoria, Australia.
Garry RobinsMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
Colin GallagherMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Petr MatousThe University of Sydney Faculty of Engineering and Information Technologies, Sydney, New South Wales, Australia.
Bopha RodenSchool of Business, Law and Entrepreneurship, Swinburne University of Technology, Hawthorn, Victoria, Australia.
Maedeh Aboutalebi KarkavandiMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
James CoutinhoSchool of Business, Law and Entrepreneurship, Swinburne University of Technology, Hawthorn, Victoria, Australia.
Chiara BroccatelliInstitute for Social Science Research, The University of Queensland, Saint Lucia, Queensland, Australia.
Johan KoskinenMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
Stephanie CurtisBurnet Institute, Melbourne, Victoria, Australia.
Joseph S DoyleBurnet Institute, Melbourne, Victoria, Australia.
Nicholas GeardSchool of Computing & Information Systems, The University of Melbourne, Melbourne, Victoria, Australia.
Sophie HillCentre for Health Communication and Participation, La Trobe University, Melbourne, Victoria, Australia.
Alison CoelhoCoelho Networks, Melbourne, Victoria, Australia.
Nick ScottBurnet Institute, Melbourne, Victoria, Australia.
Dean LusherSchool of Business, Law and Entrepreneurship, Swinburne University of Technology, Hawthorn, Victoria, Australia.
Mark A StoovéBurnet Institute, Melbourne, Victoria, Australia.
Katherine B GibneyDepartment of Infectious Diseases, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Margaret HellardBurnet Institute, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLongitudinal studies can provide timely and accurate information to evaluate and inform COVID-19 control and mitigation strategies and future pandemic preparedness. The Optimise Study is a multidisciplinary research platform established in the Australian state of Victoria in September 2020 to collect epidemiological, social, psychological and behavioural data from priority populations. It aims to understand changing public attitudes, behaviours and experiences of COVID-19 and inform epidemic modelling and support responsive government policy. METHODS AND ANALYSIS: This protocol paper describes the data collection procedures for the Optimise Study, an ongoing longitudinal cohort of ~1000 Victorian adults and their social networks. Participants are recruited using snowball sampling with a set of seeds and two waves of snowball recruitment. Seeds are purposively selected from priority groups, including recent COVID-19 cases and close contacts and people at heightened risk of infection and/or adverse outcomes of COVID-19 infection and/or public health measures. Participants complete a schedule of monthly quantitative surveys and daily diaries for up to 24 months, plus additional surveys annually for up to 48 months. Cohort participants are recruited for qualitative interviews at key time points to enable in-depth exploration of people's lived experiences. Separately, community representatives are invited to participate in community engagement groups, which review and interpret research findings to inform policy and practice recommendations. ETHICS AND DISSEMINATION: The Optimise longitudinal cohort and qualitative interviews are approved by the Alfred Hospital Human Research Ethics Committee (# 333/20). The Optimise Study CEG is approved by the La Trobe University Human Ethics Committee (# HEC20532). All participants provide informed verbal consent to enter the cohort, with additional consent provided prior to any of the sub studies. Study findings will be disseminated through public website (https://optimisecovid.com.au/study-findings/) and through peer-reviewed publications. TRIAL REGISTRATION NUMBER: NCT05323799.

Indexed as

COVID-19AdultAustraliaHumansLongitudinal StudiesQuarantineSARS-CoV-2COVID-19EPIDEMIOLOGIC STUDIESPUBLIC HEALTH

Identifiers

PMID38216183
PMCPMC10806709

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.