Evidence map›Paper›PMID 31992332›Full record

ArticleHuman resources for health2020

Task shifting for point-of-care early infant diagnosis: a comparison of the quality of testing between nurses and laboratory personnel in Zimbabwe.

Francis M Simmonds, Jennifer E Cohn, Haurovi W Mafaune, Tichaona H Nyamundaya, Agnes Mahomva, Addmore Chadambuka

Open access · goldAbstract readComparative Study
In one paragraph

Article in Human resources for health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.2field-weighted citation impact, top 38% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  5. Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
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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

6 authors at 3 institutions in 2 countries.

Francis M SimmondsElizabeth Glaser Pediatric AIDS Foundation, Block 5-1st Floor, Arundel Office Park, 107 Norfolk Road, Mount Pleasant, Harare, Zimbabwe. simmondsfm@gmail.com.ORCID 0000-0003-0720-0980
Jennifer E CohnElizabeth Glaser Pediatric AIDS Foundation, Geneva, Switzerland.
Haurovi W MafauneElizabeth Glaser Pediatric AIDS Foundation, Block 5-1st Floor, Arundel Office Park, 107 Norfolk Road, Mount Pleasant, Harare, Zimbabwe.
Tichaona H NyamundayaElizabeth Glaser Pediatric AIDS Foundation, Block 5-1st Floor, Arundel Office Park, 107 Norfolk Road, Mount Pleasant, Harare, Zimbabwe.
Agnes MahomvaMinistry of Health and Child Care, Harare, Zimbabwe.
Addmore ChadambukaElizabeth Glaser Pediatric AIDS Foundation, Block 5-1st Floor, Arundel Office Park, 107 Norfolk Road, Mount Pleasant, Harare, Zimbabwe.
National AIDS Council · ZWElizabeth Glaser Pediatric AIDS Foundation · USMinistry of Health and Child Welfare · ZW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo decentralize point-of-care early infant diagnosis (POC EID), task shifting to cadres such as nurses is important. However, this should not compromise quality of testing through generating high rates of internal quality control (IQC) failures and long result turnaround times. We used data from a POC EID project in Zimbabwe to compare IQC rates and result return to caregivers for samples run on a POC EID technology (Alere q HIV 1/2 Detect) between nurses and laboratory-trained personnel to assess effects of task shifting on quality of testing.

methodsThis cross-sectional retrospective study used data from all 46 sites (10 hub and 36 spoke sites in Zimbabwe that piloted POC EID for routine clinical use from December 2016 to June 2017). IQC failure rates were downloaded from each POC EID platform and exported to excel to analyze IQC failure rates by type of operator. Turnaround time (TAT) from sample collection to issuing of results to caregiver was extracted from the EID test request form and uploaded into a project specific Excel-based database for analysis.

resultsA total of 1847 tests were conducted by 45 testers (12 laboratory-trained and 33 non-laboratory-trained personnel), including 165 errors. There were no significant differences in IQC failure rates between non-laboratory testers (137 [9.2%] of 14830 tests) and specialized laboratory-trained (28 [7.7%] of 364 tests; p = 0.354). Over time, IQC failure rates for both non-laboratory (χ

conclusionsSimilar IQC failure rates and TATs between non-laboratory and specialized laboratory-trained operators suggest that non-specialized laboratory-trained personnel can perform POC EID equally well as specialized laboratory personnel.

Indexed as

Laboratory PersonnelNursing StaffCross-Sectional StudiesHumansInfantPoint-of-Care TestingQuality ControlRetrospective StudiesZimbabweEarly infant diagnosisInternal quality controlsPoint-of-careTask shiftingTesterTurnaaround time

Identifiers

PMID31992332
PMCPMC6986104
OpenAlexW3013075929

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.