Evidence map›Paper›PMID 22422356›Full record

ArticleJournal of community genetics2010

The importance and value of EQA for diagnostic genetic laboratories.

Ros J Hastings, Rod T Howell

Abstract read
In one paragraph

Article in Journal of community genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

2 authors.

Ros J HastingsCEQA, Cytogenetics European Quality Assessment, Oxford Radcliffe Hospitals NHS Trust, Oxford, OX3 9DU, UK, ros.hastings@orh.nhs.uk.
Rod T Howell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality control in a laboratory setting requires the establishment of effective training, standard operating procedures, internal quality control, validation of tests and external quality assessment (EQA). A structured quality management system subject to regular internal and external audits will minimise the error rate. EQA, therefore, gives assurance, both to patients and referring clinicians, that the diagnostic laboratory is competent to produce results that are reliable and accurate. EQA is educational and aims to improve and validate the overall quality of genetic service to the user. Regular EQA assessment compares laboratory performance against set standards and also allows comparison between laboratories. Sometimes EQA can also help to define good standards (best practice), although this does depend on the type of EQA test. EQA interprets best practice standards (=quality) into a numerical score (=quantity). While international bodies or professional organisations set these standards, EQA is able to assess whether these standards are met, with any omissions resulting in a reduction in the total score. Although EQA has an educational role rather than a punitive role, critical errors affecting clinical management will result in a laboratory receiving a poor performance categorisation. Accurate analysis and interpretation are essential quality parameters that require extensive knowledge of the aetiology of genetic abnormalities/disease and risk factors. Training of staff in interpretation of the results together with a comprehensive means of reporting normal and abnormal genetic results underpins the diagnostic service to the patient. Poor-performing laboratories are, therefore, encouraged to review their internal processes. EQA schemes that have been established for many years have seen improvements in the analytical and reporting content over time, thereby improving the quality of diagnostic service available to patients.

Identifiers

PMID22422356
PMCPMC3185976

What OpenQuestion holds

Textmetadata
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Registered trials

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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.