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Public Perception and Policy for SARS-CoV-2 Whole Genome Sequencing and Genomics for All

Closing the Gap in Public Perception and Policy for SARS-CoV-2 Whole Genome Sequencing and Genomics for All

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06441981
Enrollment
800
Registered
2024-06-04
Start date
2023-10-01
Completion date
2024-12-30
Last updated
2024-06-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Knowledge, Attitudes, Practice

Keywords

Genome Sequencing, Public Perception, Public Policy, COVID-19

Brief summary

Gap in understanding undermines government and public support for SC2-WGS, and other wide-scale genomic sequencing (Gut microbiome, Genome Wide Sequencing for Prenatal Detection, Tuberculosis Metagenomic sequencing, Nutrigenetics and Cancer Next Generation Sequencing) as a routine part of the pandemic response, especially in low- and middle-income countries. However, such gaps can be closed with systematic efforts to define and measure specific misperceptions, and subsequently design and use targeted messages and promotional materials. We propose here in the following specific aims to first determine the entire set of beliefs and emotions regarding SC2-WGS and other genomic sequencing (Gut microbiome, Genome Wide Sequencing for Prenatal Detection, Tuberculosis Metagenomic sequencing, Nutrigenetics and Cancer Next Generation Sequencing), then identify and measure limiting belief constructs, and then create social media and communication media to address and overcome limiting beliefs strategically. The goal is to increase public and policymaker support for SC2-WGS and other genomic sequencing (Gut microbiome, Genome Wide Sequencing for Prenatal Detection, Tuberculosis Metagenomic sequencing, Nutrigenetics and Cancer Next Generation Sequencing) resources and actions for pandemic control.

Detailed description

Implementing WGS, it is advisable to involve a variety of relevant actors and to consider the opinions of various stakeholders, including those who are not professionals in the field. This might resolve the implementation problem that could occur if psychological and social dimensions or, in other words, not strictly scientific criteria are not adequately integrated in decision making concerning complex issues such as innovations in genetics. In most cases, the reaction towards genetic information corresponds with a specific personal view of how to handle medical information and thus amplifies already existing mental phenomena (fear, stress, worries, etc.), tendencies of self-improvement and self-care and curiosity and playfulness.38 In the Study from Lewis et al, investigated in this relation the specific personality traits of participants of the first implementations of WGS, who were characterized as optimistic and resilient. This is a phenomenon often found in the group of early adopters of new technologies in general as described in the dimension knowing as empowerment to act, for some people, the willingness to know is caused by an attitude of openness towards the unknown and the desire to open new scenarios that could activate new opportunities for research as well as for themselves. This perspective highly reflects the currently dominant societal goal of health prevention and the main health policy discourse and practice of precaution. People have different perceptions of WGS and its imaginable integration into our health care system or our daily lives, and various approaches to decision-making regarding the potential use of WGS could be observed. There are suboptimal national resources, inadequate specimen sampling strategies, to optimize epidemiological and clinical inference. There is a gap in the meta-data to interpret SC2-WGS information and other genomic sequencing (Gut microbiome, Genome Wide Sequencing for Prenatal Detection, Tuberculosis Metagenomic sequencing, Nutrigenetics and Cancer Next Generation Sequencing) in a complete and rapid manner. This understanding gap can undermine broad-scale government and public support as a routine part of the pandemic response, especially in low- and middle-income countries. Therefore an intervention is needed in the form of genomic sequencing education. Before the intervention stage, there will be taking survey data which will be collected using the themes from the FGD results and will focus on assessing public perceptions regarding SC2-WGS and other genomic sequencing. These themes will be formulated into short statements and answered by respondents using a Likert scale. The survey will involve 100-200 respondents via WhatsApp chat bot. Subjects will be asked to express their reactions to short statements on a 4-point Likert scale. The subject will also be asked to express his emotional reaction to the statement with a series of binary questions related to positive or negative feelings. The survey results will be analyzed quantitatively to see the total score and distribution of each statement. The next stage in this research is to develop social media and communication media. At this stage we will formulate public messages and strategies to improve perceptions based on the survey results. The public message formulated will be useful for educating the public using various social media platforms. The intervention stage will be carried out by distributing information regarding genome sequencing via bots. After the intervention is carried out, changes in perception will be assessed before and after the intervention through pre-test and post-test questionnaires

Interventions

BEHAVIORALEducation

Educational material brochures will be given to 800 respondents. Educational material is provided via WhatsApp chatbot. After being educated, respondents were given a test to determine the increase in understanding of the material.

Sponsors

Oxford University Clinical Research Unit
CollaboratorUNKNOWN
Indonesia University
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Intervention model description

The questionnaire in whatsapp chatbot format will be given to 100 and up to 200 persons from each targeted population. There Four targeted population namely, The public overall (comprised mostly of 18-29 years old adults whom have the most cases), Vulnerable groups (including the elderly between 50-80 years old, parents of children 0-12 years, and pregnant women), Doctors and other frontline health workers, and Program implementers and policy makers.

Eligibility

Sex/Gender
ALL
Age
21 Years to 80 Years
Healthy volunteers
Yes

Inclusion criteria

* Living or working in Jakarta * Young adult * Adult * Elderly * Health workers * Public Policy

Exclusion criteria

\- Living or working outside Jakarta

Design outcomes

Primary

MeasureTime frameDescription
Knowledge2 monthsAssessment of respondents' knowledge regarding the educational material provided, calculated based on the number of questions answered correctly.

Countries

Indonesia

Contacts

Primary ContactRina Agustina
r.agustina@ui.ac.id+622129189160
Backup ContactRahyussalim Rahyussalim
manajer.riset.fkui1@gmail.com+622129189160

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026