Evidence map›Paper›PMID 39585816›Full record

ArticlePloS one2024

Optimising instructional materials for Covid-19 rapid tests for self-sampling and testing: Mapping the optimization process of manufacturer's instructions for use for self-testing RDTs intended for low-literacy contexts.

Moses Kelly Kumwenda, Madalo Mukoka, Elena Reipold-Ivanova, Owen Mhango, Yasmin Dunkley, Florence Abok, Euphemia Sibanda, Constancia Watadzaushe, Elizabeth L Corbett, Augustine Talumba Choko

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

10 authors.

Moses Kelly KumwendaMalawi Liverpool Wellcome Trust Clinical Research Programme, Blantyre, Malawi.ORCID 0000-0003-3091-7330
Madalo MukokaHelse-Nord Tuberculosis Initiative, Kamuzu University of Health Sciences, Blantyre, Malawi.
Elena Reipold-IvanovaFIND, Geneva, Switzerland.
Owen MhangoHelse-Nord Tuberculosis Initiative, Kamuzu University of Health Sciences, Blantyre, Malawi.
Yasmin DunkleyLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-1707-0577
Florence AbokFIND, Geneva, Switzerland.
Euphemia SibandaCeSHHAR, Harare, Zimbabwe.
Constancia WatadzausheCeSHHAR, Harare, Zimbabwe.
Elizabeth L CorbettLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
Augustine Talumba ChokoCeSHHAR, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simple and easy to use kits for SARS-Cov-2 self-testing during epidemic waves are needed to optimize diagnostic capacity in low- and middle-income countries. SARS-Cov-2 self-testing kits are available, but application of these novel diagnostic technologies is less understood in low and middle-income contexts. We investigated the ability to understand and perform instructions for use (IFUs) for STANDARD Q COVID-19 Ag Test (SD Biosensor) and Panbio COVID-19 Ag Rapid Test Device (Abbott Rapid Diagnostics) for anterior nares (AN) nasal self-sampling and self-testing for COVID-19 in rural and urban Malawi. Qualitative research methods using iterative cognitive interview approach was used to investigate the ability of healthcare providers and lay community members to understand and perform a COVID-19 self-sample or self-test using the manufacturer's instructions for use. A total of 120 iterative cognitive interviews were done with healthcare providers and lay community members for self-sampling (N = 76) and self-testing (N = 44). Cognitive interviews began with the manufacturers version of instructions for use followed by subsequent iterations to refine problematic instructions. Structured interview guide and an observation checklist were used to collect data which was then coded inductively. A framework analysis approach was used to synthesize qualitative data. Study participants were generally proficient at performing a COVID-19 self-sampling and self-testing using the two COVID-19 Rapid Testing Devices. Several of design and content problems within manufacturer's instructions for use made their contextual application sub-optimal. Overall, participants experienced difficulties because of the omission of essential elements within instructions, use of short texts/phrase or lack of a word instruction, the lack of labels on where to open the package; the inconsistencies between word instructions within the instructions for use and the physical contents of the test package; the inability to digest and apply certain technical concepts and the lack of clarity in the phrasing of some text instructions. As expected, healthcare providers experienced fewer problems compared to lay community members. The refinement of these instructions greatly improved comprehension among lay community members. Self-sampling and self-testing for COVID-19 can be performed lay community members with fidelity in a scaled context if the manufacturer's instructions for use have been refined and tailored to the context. In the current study, we have used the study findings to map the optimisation process of manufacturer's IFU'S for self-testing RDT's intended for low literacy contexts including Malawi.

Indexed as

COVID-19SARS-CoV-2Self-TestingAdultCOVID-19 TestingFemaleHealth PersonnelHumansMalawiMaleMiddle AgedReagent Kits, DiagnosticSpecimen HandlingReagent Kits, Diagnostic

Identifiers

PMID39585816
PMCPMC11588253

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.