Evidence map›Paper›PMID 35811751›Full record

ArticleAfrican journal of laboratory medicine2022

Implementation of a customised antimicrobial resistance laboratory scorecard in Cameroon, Ethiopia and Kenya.

André Trollip, Renuka Gadde, Tjeerd Datema, Kamau Gatwechi, Linda Oskam, Zachary Katz, Andrew Whitelaw, Peter Kinyanjui, Patrick Njukeng, Dawit A Wendifraw and 5 more

Open access · diamondAbstract read
In one paragraph

Article in African journal of laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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 at 9 institutions in 9 countries.

André TrollipFoundation for Innovative New Diagnostics (FIND) South Africa, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-8920-3677
Renuka GaddeBecton, Dickinson & Company, Franklin Lakes, New Jersey, United States.ORCID https://orcid.org/0000-0002-9647-9823
Tjeerd DatemaDATOS, Leiden, the Netherlands.ORCID https://orcid.org/0000-0002-7469-5584
Kamau GatwechiBecton, Dickinson & Company, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-1754-9521
Linda OskamDATOS, Leiden, the Netherlands.ORCID https://orcid.org/0000-0002-6675-1814
Zachary KatzFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.ORCID https://orcid.org/0000-0002-9282-8571
Andrew WhitelawDepartment of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa.ORCID https://orcid.org/0000-0001-9070-5247
Peter KinyanjuiNational Public Health Laboratory, Kenyatta National Hospital, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-0039-9333
Patrick NjukengGlobal Health Systems Solutions, Isokolo, Cameroon.ORCID https://orcid.org/0000-0002-6586-5625
Dawit A WendifrawNational Clinical Bacteriology and Mycology Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-6669-3274
Ibrahimm MugerwaMinistry of Health, National Health Laboratories and Diagnostic Services-AMR-National Coordination Centre, Kampala, Uganda.ORCID https://orcid.org/0000-0003-4462-2867
Grace NajjukaNational Health Laboratories and Diagnostic Services, Kampala, Uganda.ORCID https://orcid.org/0000-0001-6689-1502
Nicholas DayieDepartment of Medical Microbiology, University of Ghana Medical School, Accra, Ghana.ORCID https://orcid.org/0000-0003-4491-6902
Japheth A OpintanDepartment of Medical Microbiology, University of Ghana Medical School, Accra, Ghana.ORCID https://orcid.org/0000-0003-3928-2116
Heidi AlbertFoundation for Innovative New Diagnostics (FIND) South Africa, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-8595-4123
Becton Dickinson (United States) · USUniversity of Ghana · GHEthiopian Public Health Institute · ETFIND · CHGlobal Health Systems Solutions · CMKenyatta National Hospital · KEMedical Diagnostic Laboratories (United States) · USMinistry of Health · UGNational Health Laboratory Service · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In low-resource settings, antimicrobial resistance (AMR) is detected by traditional culture-based methods and ensuring the quality of such services is a challenge. The AMR Scorecard provides laboratories with a technical assessment tool for strengthening the quality of bacterial culture, identification, and antimicrobial testing procedures. Objective: To evaluate the performance of the AMR Scorecard in 11 pilot laboratory evaluations in three countries also assessed with the Stepwise Laboratory Quality Improvement Process Towards Accreditation (SLIPTA) checklist. Methods: Pilot laboratory evaluations were conducted in Cameroon, Ethiopia and Kenya between February 2019 and March 2019. Assessors with previous SLIPTA and microbiology experience were trained. Assessors performed the laboratory assessments using the SLIPTA and AMR Scorecard tools. Results: Weaknesses in technical procedures and the quality management systems were identified in all areas and all laboratories. Safety had the highest mean performance score (SLIPTA: 68%; AMR Scorecard: 73%) while management review had the lowest (SLIPTA: 32%; AMR Scorecard: 8%) across all laboratories. The AMR Scorecard scores were generally consistent with SLIPTA scores. The AMR Scorecard identified technical weaknesses in AMR testing, and SLIPTA identified weaknesses in the quality management systems in the laboratories. Conclusion: Since the AMR Scorecard identified important gaps in AMR testing not detected by SLIPTA, it is recommended that microbiology laboratories use SLIPTA and the AMR Scorecard in parallel when preparing for accreditation. Expanding the use of the AMR Scorecard is a priority to address the need for quality clinical microbiology laboratory services in support of optimal patient care and AMR surveillance.

Indexed as

antimicrobial resistancebloodclinicalfaeceslaboratoryurine

Identifiers

PMID35811751
PMCPMC9257829
OpenAlexW4282927057

What OpenQuestion holds

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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.