A Study on Voluntary Routine COVID-19 Self-testing in Mizoram, India.

November 16, 2022 updated by: PATH

A Study on Utilization, Adherence, and Acceptability of Voluntary Routine COVID-19 Self-testing Among Students, Staff and Health Workers at Two Institutions in Mizoram, India.

This interventional study aims to evaluate the utilization, adherence, and acceptability of voluntary, free, routine self-testing for COVID-19 (Corona Virus (19) Disease) and related information, education and communication (IEC) messages in two institutional settings in Mizoram, India. In addition, it will assess and measure preferences for assisted vs unassisted and observed vs unobserved self-testing, assess adherence and measure dropout rate and describe dropout characteristics.

The research questions it aims to address are -

  1. What is the uptake and adherence of voluntary, free, routine self-testing for COVID-19 and related IEC messages vy students, employees, and healthcare workers in two institutional settings in India? Are there any dropouts from routine self-testing and what are the factors related to dropouts?
  2. What is the preferred mode of self-testing- observed or unobserved, assisted or unassisted? Do these preferences change over time? The researchers will be measuring - Utilization rate, Adherence rate, Proportion of preference to assisted vs unassisted self-testing, Proportion of preference to observed vs unobserved self-testing, Time to dropout and Acceptability of COVID-19 self-testing kits.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Testing is a critical component of the pandemic response. It serves two purposes; for clinical purposes, it focuses on identifying disease in symptomatic patients, while testing for epidemiological purposes, spread in the population is also assessed. India uses a mix of both Reverse Transcriptase Polymerase Chain Reaction (RT PCR) and Antigen Rapid Diagnostic Tests (Ag RDTs) for COVID-19 testing. RT PCR is the reference standard test for detection of the virus. However, not all facilities have RT PCR, and many communities have poor access. This leads to a long turn-around time (TAT) for the results to be obtained and a high load on RT PCR facilities. Hence, to prevent the spread of the virus, cases must get detected early. At the peak of the first wave of the pandemic in the country, Ag RDTs constituted close to 50% of all the tests conducted in the country. Self-testing for COVID-19 has emerged as a viable complementary testing modality. The use of self-testing kits while ensuring the availability of other COVID-19 tests at the nearest point of care addresses many of the usual barriers to uptake of services, leading to timely testing of individuals, diagnosis, and access to care. It can also reduce the burden on existing testing infrastructure especially during a surge in the cases. It also reduces overcrowding at testing facilities thereby reducing the risk of disease transmission. To improve access to testing and prevent overreliance on RT PCR laboratories, the Indian Council of Medical Research (ICMR) approved and validated the use of COVID-19 self-testing kits. As of March 2022, sixteen self-testing kits have been validated in India of which 10 are found to be satisfactory. While there are many benefits to self-testing, it is also essential to understand the utilization of the self-testing strategy, including whether or not the community can follow the steps for self-testing and what support, if any, the community may require to use self-test kits.

The present study proposes the demonstration of ICMR and US-FDA (United States Food & Drug Administration) approved SURE STATUS self-testing kit in the healthcare workers and educational institution setting in Mizoram for a period of 5 months. With the ease of lockdown and movement restrictions, workplaces and educational institutes are gradually opening up. However, with the threat of the pandemic still looming large, it is prudent to put in place systems for regular screening within these settings to promote early diagnosis and care and prevent outbreaks. COVID-19 self-test has been identified as one way any institution can scale up COVID-19 testing to improve COVID-19 status awareness by reaching out to as many people as possible at a given point of time.

While COVID-19 self-tests are available and widely used in India, these kits are largely used within the confines of individual homes. It is learnt that the reporting of the results of the self-test is poor as compared to the utilization of the self-test kits. To the investigator's knowledge, no study has been conducted in India to assess the utilization of self-testing as a routine procedure in places of mass indoor gathering, like workplaces and educational institutions. To address this gap, the investigators will conduct a study to evaluate the utilization, adherence, and acceptability of routine COVID-19 self-testing among students, employees and healthcare workers in two congregate settings: one University College and one Medical College and Hospital in Mizoram, India. The proposed study will document challenges, if any, in reporting of self-test results and document the key processes in operationalizing routine COVID-19 self-testing among students, employees and healthcare workers and provide learning and recommendations for systematic use of self-tests for future models of institution based COVID-19 self-testing in congregate settings.

Study Type

Interventional

Enrollment (Anticipated)

646

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Muneer Kutty, MPH
  • Phone Number: +919999798283
  • Email: mkutty@path.org

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

14 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. Above the age of 18 years, irrespective of gender and past COVID-19 status
  2. Registered with participating institutions
  3. Able and willing to provide informed consent
  4. Owns a smartphone capable of downloading the SURE STATUS app for uploading results
  5. Able to read the instructions in the Mizo or English or Hindi

Exclusion Criteria:

  1. Does not consent.
  2. Has any contraindication to nasal sample collection, including recent nasal injury, nasal surgeries.
  3. Personnel who are directly involved in the conduct of the study, e.g., investigator, sub-investigator, research assistant, pharmacist, study coordinator or anyone mentioned in the delegation log.

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

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Study participants
The study procedure is universal to all the participants from both the institutes. There are no control arms defined separately. The groups within the participants include - include health care workers, non-medical hospital staff and medical students at ZMC; and faculty, students and supporting staff at the Pacchunga University College.
Provisioning of voluntary, free self-testing for COVID-19 (approved and validated in the country) and related Information, Education and Communication (IEC) messages

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Utilization rate
Time Frame: 5 Months

Individual level: the proportion of tests each individual uses till the end of the follow-up period from the minimum number of tests allocated to them.

Sample-level: mean and standard deviations calculated based on the individual utilisation rates

5 Months
Adherence Rate
Time Frame: 5 Months

Individual level: the proportion of tests an individual performs according to the testing schedule over the total number of tests they perform.

Sample-level: mean and standard deviations calculated based on the individual adherence rates

5 Months
Preferences of participants on self testing
Time Frame: 5 Months
Proportion of preference to assisted vs unassisted self-testing
5 Months
Observation proportions of participants on self testing
Time Frame: 5 Months
Proportion of preference to observed vs unobserved self-testing
5 Months
Time to dropout
Time Frame: 5 Months
The time to drop out will be the time from enrolment of the participant till drop-out
5 Months
Acceptability of COVID-19 self-testing kits
Time Frame: 5 Months
A composite indicator based on ease of use of COVID-19 self-testing kits, ease of interpretation of test results, and recommendation to others
5 Months

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 (Anticipated)

December 1, 2022

Primary Completion (Anticipated)

April 1, 2023

Study Completion (Anticipated)

May 1, 2023

Study Registration Dates

First Submitted

November 9, 2022

First Submitted That Met QC Criteria

November 9, 2022

First Posted (Actual)

November 14, 2022

Study Record Updates

Last Update Posted (Actual)

November 21, 2022

Last Update Submitted That Met QC Criteria

November 16, 2022

Last Verified

November 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

IPD Plan Description

We do not plan to share any individual participant data. We will share collective learnings on various parameters at both the sites.

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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