Evidence map›Paper›PMID 20518447›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Knowledge and perceptions of quality systems among Vermont laboratorians.

Steven R Blumen, Phda Shelly Naud, Mary Val Palumbo, Barbara McIntosh, Burton W Wilcke

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. The evolving Public Health Laboratory System.Public health reports (Washington, D.C. : 1974)
    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

5 authors.

Steven R BlumenDepartment of Medical Laboratory and Radiation Sciences, University of Vermont, Burlington, VT 05405, USA. steven.blumen@uvm.edu
Phda Shelly Naud
Mary Val Palumbo
Barbara McIntosh
Burton W Wilcke

Funding

PHS HHS 1R1CRH03426-01-0
6 · The paper itself

Abstract

objectivesThis article reports on a survey of medical laboratorians' knowledge of quality systems in their workplace and their perceptions about the effect of job function, education and training, professional credentials, and experience on the overall quality of testing and results.

methodsThe Medical Laboratory Workforce Survey was designed and conducted in Vermont in 2005. Surveys were distributed to all laboratorians working in Clinical Laboratory Improvement Amendments-regulated laboratories throughout Vermont. Results were analyzed for statistical significance using the Fisher's exact test for overall group comparisons.

resultsLaboratorians perceived that they were generally knowledgeable about the quality systems in place in their laboratories (96% considered themselves familiar with quality assurance [OA] measures in their laboratory), but meeting quality objectives and perceptions of factors that impact quality measures in the laboratory were variably influenced by the laboratorians' years of experience, professional credentials, organization type, and job title. Almost half (47%) of laboratorians said they did not have a role in deciding the QA measures, whereas 77% felt they had a significant impact on meeting the QA objectives.

conclusionsNot all laboratorians feel that they play a significant role in assuring quality or influencing quality measures used in the laboratory. All laboratorians should be encouraged to take an active approach to influence quality systems in the laboratory to ensure the highest quality health care possible.

Indexed as

Allied Health PersonnelLaboratories, HospitalProfessional CompetenceQuality Assurance, Health CareClinical Laboratory TechniquesData CollectionHumansQuality ControlVermont

Identifiers

PMID20518447
PMCPMC2846805

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.