Evidence map›Paper›PMID 38838031›Full record

ArticlePLOS global public health2024

Implementation pilot study of community self-testing for COVID-19 among employees of manufacturing industries and their household members in 2022 to 2023.

Huan Keat Chan, Elena Marbán-Castro, Sunita Abdul Rahman, Xiaohui Sem, Nurul Farhana Zulkifli, Suziana Redzuan, Alias Abdul Aziz, Nurhanani Ayub, Paula Del Rey-Puech, Elena Ivanova Reipold and 5 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

15 authors.

Huan Keat ChanClinical Research Centre, Hospital Sultanah Bahiyah, Alor Setar, Kedah, Malaysia.
Elena Marbán-CastroFIND, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-9715-0595
Sunita Abdul RahmanKedah State Health Department, Alor Setar, Kedah, Malaysia.
Xiaohui SemFIND, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-4962-9825
Nurul Farhana ZulkifliFIND, Geneva, Switzerland.
Suziana RedzuanKuala Muda District Health Office, Sungai Petani, Kedah, Malaysia.
Alias Abdul AzizKulim District Health Office, Kulim, Kedah, Malaysia.
Nurhanani AyubFIND, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-9579-0361
Paula Del Rey-PuechFIND, Geneva, Switzerland.
Elena Ivanova ReipoldFIND, Geneva, Switzerland.
Olga DenisiukFIND, Geneva, Switzerland.
Norizan AhmadClinical Research Centre, Hospital Sultanah Bahiyah, Alor Setar, Kedah, Malaysia.
Othman WarijoClinical Research Centre, Hospital Sultanah Bahiyah, Alor Setar, Kedah, Malaysia.
Muhammad Radzi Abu HassanClinical Research Centre, Hospital Sultanah Bahiyah, Alor Setar, Kedah, Malaysia.
Sonjelle ShiltonFIND, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 self-testing is essential for enabling individuals to self-care, screen themselves and, if positive, isolate themselves. Since 2021, COVID-19 self-tests have been extensively used in high-income countries, however, their programmatic implementation in low- and middle-income countries has been delayed. An implementation pilot, mixed-methods study, was conducted in four industrial manufacturing companies, in Kedah State between November 2022 and May 2023. Participants were asked to take COVID-19 self-tests home for themselves and their household members and to use the tests according to national guidelines. At enrolment and at the end of the study, participants completed an online sociodemographic, knowledge and satisfaction survey. Data were cleaned and analysed using SPSS Statistics V28.0. Qualitative data were collected through semi-structured interviews and focus group discussions. Thematic analysis was conducted. A total of 1768 employees from four manufacturing industries enrolled in the pilot, representing 60% of the total employees and more than 50% of employees at each site. There were 40 COVID-19-positive cases detected in participants from the manufacturing industries, and 100 positive household members. Participants reported 27 invalid test results. Individuals aged 30 or less [adjusted odds ratio (AOR): 2.65; 95% CI: 1.63 to 4.31; p<0.001] and males (AOR: 1.54; 95% CI: 1.09 to 2.17; p = 0.014) showed a significant higher likelihood of self-testing compared to older and female participants. Additionally, individuals who received three or more doses of a COVID-19 vaccine had higher odds of using self-tests (OR 1.56 (95% CI: 1.03 to 2.36, p = 0.037)). There was a significant increase in participants' knowledge on how to correctly collect a self-sample using a nasal swab from 36,9% at baseline to 43,6% post-implementation (p = 0.004) and correct interpretation of a positive result from 80,5% at baseline to 87,6% post-implementation (p<0.001). Furthermore, there was a notable increase in the correct understanding of actions following a positive result, especially regarding self-isolation, which rose from 59.1% to 71.9% (p<0.001). A total of 44 SSIs, and 4 FGDs with a total of 14 participants, were performed. The five main themes explored were: 1) previous experiences with COVID-19, 2) COVID-19 ST experiences during the pilot study, 3) advantages of COVID-19 ST, 4) feelings related to COVID-19 ST, 5) willingness to use COVID-19 ST again, and 6) ST for other diseases. This research shows the feasibility of a self-testing model in the community through workplaces due to participants' high acceptability to enrol and high self-tests' uptake. Lessons learnt can inform operational aspects of the introduction and scale-up of self-care strategies in low- and middle-income countries, in particular the South-East Asia region.

Identifiers

PMID38838031
PMCPMC11152268

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LicenceCC BY
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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 OpenQuestion graph.