Evidence map›Paper›PMID 38264158›Full record

ArticleHealth science reports2024

Assessment of hematology laboratory performance in the total testing process using quality indicators and sigma metrics in the northwest of Ethiopia: A cross-sectional study.

Dereje Mengesha Berta, Mekonnen Grima, Mulugeta Melku, Tiruneh Adane, Elias Chane, Bisrat Birke Teketelew, Aregawi Yalew

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Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4 citing papers in PubMed.

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7 authors.

Dereje Mengesha BertaDepartment of Hematology and Immunohematology University of Gondar Gondar Ethiopia.ORCID https://orcid.org/0000-0002-6613-7179
Mekonnen GrimaDepartment of Quality Assurance and Laboratory Management, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences University of Gondar Gondar Ethiopia.
Mulugeta MelkuDepartment of Hematology and Immunohematology University of Gondar Gondar Ethiopia.ORCID 0000-0002-3383-9377
Tiruneh AdaneDepartment of Hematology and Immunohematology University of Gondar Gondar Ethiopia.
Elias ChaneDepartment of Clinical Chemistry, School of Biomedical and Laboratory Sciences University of Gondar Gondar Ethiopia.
Bisrat Birke TeketelewDepartment of Hematology and Immunohematology University of Gondar Gondar Ethiopia.
Aregawi YalewDepartment of Hematology and Immunohematology University of Gondar Gondar Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Assuring laboratory quality by minimizing the magnitude of errors is essential. Therefore, this study aimed to assess hematology laboratory performance in the total testing process using quality indicators and sigma metrics. Methods: A cross-sectional study was conducted from April to June 2022. The study included a total of 13,546 samples. Data on included variables were collected using a checklist. Descriptive statistics were used to present the overall distribution of errors. Binary logistic regression models were applied. Furthermore, using a Sigma scale, the percentage of errors was converted to defects per million opportunities to assess laboratory performance. Finally, the defect per million opportunities was converted to a sigma value using a sigma calculator. Results: Of the 13,546 samples and corresponding requests, the overall error rate was 123,296/474,234 (26%): 93,412/47,234 (19.7%) pre-analytical, 2364/474,234 (0.5%) analytical, and 27,520/474,234 (5.8%) post-analytical. Of the overall errors, 93,412/123,296 (75.8%), 2364/123,296 (1.9%), and 27,520/123,296 (22.3%) were pre-analytical, analytical, and post-analytical errors, respectively. The overall sigma value of the laboratory was 2.2. The sigma values of the pre-analytical, analytical, and post-analytical phases were 2.4, 4.1, and 3.1, respectively. The sample from the inpatient department and collected without adherence to the standard operating procedures (SOPs) had a significantly higher ( Conclusion: The current study found that the overall performance of the laboratory was very poor (less than three sigma). Therefore, the hospital leadership should change the manual system of ordering tests and release of results to a computerized system and give need-based training for all professionals involved in hematology laboratory sample collection and processing.

Indexed as

hematologylaboratoryquality indicatorssigma metricstesting process

Identifiers

PMID38264158
PMCPMC10803892

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