Evidence map›Paper›PMID 31276477›Full record

Observational studyPloS one2019

Point-of-care CD4 technology invalid result rates in public health care settings across five countries.

Katherine Lamp, Seth McGovern, Youyi Fong, Biruhtesfa Abere, Adisu Kebede, Gonfa Ayana, Achamyeleh Mulugeta, Chares Diko Atem, Jean Bosco Elat Nfetam, Divine Nzuobontane and 11 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Katherine LampClinton Health Access Initiative, Boston, Massachusetts, United States of America.ORCID 0000-0003-0996-161X
Seth McGovernClinton Health Access Initiative, Boston, Massachusetts, United States of America.
Youyi FongFred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Biruhtesfa AbereClinton Health Access Initiative, Addis Ababa, Ethiopia.
Adisu KebedeEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Gonfa AyanaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Achamyeleh MulugetaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Chares Diko AtemClinton Health Access Initiative, Yaoundé, Cameroon.
Jean Bosco Elat NfetamNational AIDS Control Committee, Yaoundé, Cameroon.
Divine NzuobontaneClinton Health Access Initiative, Yaoundé, Cameroon.
Timothy BollingerClinton Health Access Initiative, Maputo, Mozambique.
Ilesh JaniInstituto Nacional de Saúde, Maputo, Mozambique.
Nadia SitoeInstituto Nacional de Saúde, Maputo, Mozambique.
Charles KiyagaCentral Public Health Laboratory, Kampala, Uganda.
George SenyamaClinton Health Access Initiative, Kampala, Uganda.
Phibeon Munyaradzi MangwendezaClinton Health Access Initiative, Harare, Zimbabwe.
Sekesai Mtapuri-ZinyoweraMinistry of Health and Child Care, Harare, Zimbabwe.
Jilian A SacksClinton Health Access Initiative, Boston, Massachusetts, United States of America.
Naoko DoiClinton Health Access Initiative, Boston, Massachusetts, United States of America.
Trevor F PeterClinton Health Access Initiative, Boston, Massachusetts, United States of America.
Lara VojnovClinton Health Access Initiative, Boston, Massachusetts, United States of America.

Funding

Statistical methods for HIV-1 immune correlates studiesR01AI122991 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI FONG, YOUYI · 2016 to 2020
$1.6M
NIAID NIH HHS R01 AI122991
6 · The paper itself

Abstract

backgroundSince 2010, point-of-care (POC) CD4 testing platforms have been introduced in both urban and rural settings to expand access to testing by bringing diagnostic services closer to patients. We conducted an analysis of routinely collected CD4 testing data to determine the invalid result rates associated with POC CD4 testing.

methodsWe analyzed 981,152 CD4 testing records collected from Alere Pima Analyzers between January 2011 and December 2016 across five countries in sub-Saharan Africa. Routinely collected data and programmatic records were used to determine the rate of invalid test results per month, by facility type, and by operator based on cumulative usage during the study period. In addition, frequency of invalid test types and utilization of control beads were assessed.

resultsAcross the five countries, 75,530 invalid messages were returned, resulting in an overall invalid result rate of 7.7%. The invalid result rate by country ranged from 6.6% to 11.2%. Invalid result rates were consistent across facility types. Invalid result rates were inversely correlated with operator usage: low volume operators (<50 tests over study period) experienced an invalid result rate of 10.2%, while high volume operators (>500 tests over study period) experienced an invalid result rate of 5.5%. Two invalid result types (exposure position control and reagent control) accounted for nearly 50% of invalid results. Routine data showed that control beads were run on 88.3% of days that the device was used.

conclusionsOur analysis found that the rate of invalid results was consistent across all types of health facilities, indicating that decentralization of POC CD4 testing to lower level health facilities did not exhibit high invalid result rates or increase cartridge wastage. Additionally, invalid result rates were inversely correlated to operator usage, with high-volume operators experiencing lower invalid result rates than low-volume operators. POC CD4 testing can, therefore, be performed in decentralized national testing programs; however, adequate training, quality assurance, routine monitoring, and ongoing mentorship should also be implemented for success.

Indexed as

Point-of-Care TestingAfrica South of the SaharaCD4 Lymphocyte CountCross-Sectional StudiesHIV InfectionsHumansPublic HealthReproducibility of ResultsRetrospective StudiesRural Health ServicesWireless Technology

Identifiers

PMID31276477
PMCPMC6611583

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.