Literature DB >> 17484633

Quality indicators and specifications for key processes in clinical laboratories: a preliminary experience.

Maria Jesus Alsina Kirchner1, Virtudes Alvarez Funes, Carme Biosca Adzet, Maria Vicenta Doménech Clar, Mercè Ibarz Escuer, Joana Minchinela Girona, Rosa Maria Pastor Barellas, Carmen Perich Alsina, Carmen Ricós Aguilá, Gloria Trujillo Isern, Conrad Vilanova Navarro.   

Abstract

BACKGROUND: The aim of this study was to identify process indicators for the three phases of laboratory activity and their corresponding quality specifications in our setting (primary care centers, and second- and third-level hospitals that provide public healthcare services in Catalonia).
METHODS: Every 2 months, working group members met to present data obtained for quality indicators for the current processes in their laboratories. The results collected were for indicators recorded monthly from 2005 and for indicators recorded less frequently from 2004. The medians of the results obtained in all laboratories were calculated and the values obtained were established as the current specifications for the corresponding indicators.
RESULTS: The laboratories participating in this working group use 12 indicators for the key processes (three for preanalytical steps, four for analytical steps and five for postanalytical steps). The preanalytical indicators are erroneous request, erroneous sample, and samples not taken, with specifications of 4.1%, 5.0% and 1.7%, respectively. A new indicator for the analytical step is the percentage of external controls exceeding the specification (0.8%); specifications for the other three well-recognized indicators (imprecision, bias and total error) are not the subject of this study. For the postanalytical phase, the indicators (and specifications) include duplicate hard copies of reports sent to centers or clinical units (1.6%), failure in critical value reporting (0.5%), reports exceeding delivery time (0.7%), reports from referred tests that exceed delivery time (8.9%), and incidents related to the data processing network between centers (25 events per year).
CONCLUSIONS: The process indicators reflect the state-of-the-art of the laboratories comprising our working group. Current performance for the analytical phase is satisfactory because it is entirely in the hands of the laboratory, while the main problems in extra-analytical phases reside in activities performed outside the laboratory (sample collection and transport, as well as non-electronic report delivery).

Mesh:

Year:  2007        PMID: 17484633     DOI: 10.1515/CCLM.2007.122

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  10 in total

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2.  Role of intervention on laboratory performance: evaluation of quality indicators in a tertiary care hospital.

Authors:  Rachna Agarwal; Sujata Chaturvedi; Neelam Chhillar; Renu Goyal; Ishita Pant; Chandra B Tripathi
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Review 3.  Consensus Statement for the Management and Communication of High Risk Laboratory Results.

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7.  Errors in the Total Testing Process in the Clinical Chemistry Laboratory at the University of Gondar Hospital, Northwest Ethiopia.

Authors:  Sintayehu Ambachew; Kasaw Adane; Abebaw Worede; Tadele Melak; Daniel Asmelash; Shewaneh Damtie; Habtamu Wondifraw Baynes; Molla Abebe; Belete Biadgo
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8.  The Effects of Education and Training Given to Phlebotomists for Reducing Preanalytical Errors.

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9.  Promoting early autism detection and intervention in underserved communities: study protocol for a pragmatic trial using a stepped-wedge design.

Authors:  Lisa V Ibañez; Ann Vander Stoep; Kathleen Myers; Chuan Zhou; Shannon Dorsey; Kyle J Steinman; Wendy L Stone
Journal:  BMC Psychiatry       Date:  2019-06-07       Impact factor: 3.630

10.  Impact of a large-scale educational intervention program on venous blood specimen collection practices.

Authors:  Karin Bölenius; Marie Lindkvist; Christine Brulin; Kjell Grankvist; Karin Nilsson; Johan Söderberg
Journal:  BMC Health Serv Res       Date:  2013-11-05       Impact factor: 2.655

  10 in total

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