Evidence map›Paper›PMID 30147951›Full record

ArticleAIDS research and treatment2018

Early Infant Diagnosis Sample Management in Mashonaland West Province, Zimbabwe, 2017.

Hamufare Mugauri, Owen Mugurungi, Addmore Chadambuka, Tsitsi Juru, Notion Tafara Gombe, Gerald Shambira, Mufuta Tshimanga

Abstract read
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Article in AIDS research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hamufare MugauriDepartment of Community Medicine, University of Zimbabwe, Zimbabwe.
Owen MugurungiMinistry of Health and Child Care, Zimbabwe.
Addmore ChadambukaElizabeth Glaser Paediatric AIDS Foundation (EGPAF), Zimbabwe.
Tsitsi JuruDepartment of Community Medicine, University of Zimbabwe, Zimbabwe.ORCID 0000-0002-3570-2331
Notion Tafara GombeDepartment of Community Medicine, University of Zimbabwe, Zimbabwe.
Gerald ShambiraDepartment of Community Medicine, University of Zimbabwe, Zimbabwe.
Mufuta TshimangaDepartment of Community Medicine, University of Zimbabwe, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2016, Mashonaland West Province had 7.4% (520) dried blood spot (DBS) samples for early infant diagnosis (EID) rejected by the Zimbabwe National Microbiology Reference Laboratory (NMRL). The samples were suboptimal, delaying treatment initiation for HIV-infected children. EID is the entry point to HIV treatment services in exposed infants. We determined reasons for DBS sample rejections and suggested solutions.

methodsA cause-effect analysis, modelled on Ishikawa, was used to identify factors impacting DBS sample quality. Interviewer-administered questionnaires and evaluation of sample collection process, using Standard Operating Procedure (SOP) was conducted. Rejected samples were reviewed. Epi Info™ was used to analyze findings.

resultsEleven (73.3%) facilities did not adhere to SOP and (86.7%) did not evaluate DBS sample quality before sending for testing. Delayed feedback (up to 4 weeks) from NMRL extended EID delay for 14 (93.3%) of the facilities. Of the 53 participants, 62% knew valid sample identification. Insufficient samples resulted in most rejections (77.9%). Lack of training (94.3%) and ineffective supervision (69.8%) were also cited.

conclusionSample rejections could have been averted through SOP adherence. Ineffective supervision, exacerbated by delayed communication of rejections, extended EID delay, disadvantaging potential ART beneficiaries. Following this study, enhanced quality control through perstage evaluations was recommended to enhance DBS sample quality.

Identifiers

PMID30147951
PMCPMC6083648

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