Literature DB >> 25976959

Assembly and evaluation of an inventory of guidelines that are available to support clinical hematology laboratory practice.

C P M Hayward1,2,3, K A Moffat1,2,3, T I George4, M Proytcheva5.   

Abstract

INTRODUCTION: Practice guidelines provide helpful support for clinical laboratories. Our goal was to assemble an inventory of publically listed guidelines on hematology laboratory topics, to create a resource for laboratories and for assessing gaps in practice-focused guidelines.
METHODS: PubMed and website searches were conducted to assemble an inventory of hematology laboratory-focused guidelines. Exclusions included annual, technical, or collaborative study reports, clinically focused guidelines, position papers, nomenclature, and calibration documents.
RESULTS: Sixty-eight guidelines were identified on hematology laboratory practice topics from 12 organizations, some as joint guidelines. The median year of publication was 2010 and 15% were >10 years old. Coagulation topics had the largest numbers of guidelines, whereas some areas of practice had few guidelines. A minority of guidelines showed evidence of periodic updates, as some organizations did not remove or identify outdated guidelines.
CONCLUSIONS: This inventory of current practice guidelines will encourage awareness and uptake of guideline recommendations by the worldwide hematology laboratory community, with the International Society for Laboratory Hematology facilitating ongoing updates. There is a need to encourage best guideline development practices, to ensure that hematology laboratory community has current, high-quality, and evidence-based practice guidelines that cover the full scope of hematology laboratory practice.
© 2015 John Wiley & Sons Ltd.

Keywords:  Coagulation; flow cytometry; general hematology; hemoglobinopathy; laboratory practice; morphology

Mesh:

Year:  2015        PMID: 25976959     DOI: 10.1111/ijlh.12348

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  1 in total

1.  Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning.

Authors:  Gianlucca Zuin; Daniella Araujo; Vinicius Ribeiro; Maria Gabriella Seiler; Wesley Heleno Prieto; Maria Carolina Pintão; Carolina Dos Santos Lazari; Celso Francisco Hernandes Granato; Adriano Veloso
Journal:  Commun Med (Lond)       Date:  2022-06-15
  1 in total

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