Evidence map›Paper›PMID 40463613›Full record

ArticleMedical journal, Armed Forces India

Process improvement in automated blood cultures: Our road to better patient care.

Anisha M Fernandes, Sevitha Bhat, Archana Bhat K, Pooja Rao, Suchitra Shenoy M

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anisha M FernandesAssistant Professor (Microbiology), Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.
Sevitha BhatAssociate Professor (Microbiology), Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.
Archana Bhat KAssociate Professor (Microbiology), Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.
Pooja RaoAssociate Professor (Microbiology), Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.
Suchitra Shenoy MProfessor (Microbiology), Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blood cultures (BC) are a complex multistep process susceptible to errors at multiple levels. Our study was conducted to monitor the compliance to standard operating procedures, design an intervention plan for improvement and monitor the impact of the intervention. The study design focuses on the intervention. Methods: A hospital-based prospective interventional study was carried out, monitoring various pre-analytical, analytical, and post-analytical factors in two phases. Our interventions focused on communication and training for the deficiencies noted in completeness of test request form, contamination rates, and sample loading interval. Results: Comparison between both phases showed a statistically significant improvement (p < 0.05, Chi square test) following our interventions in the completeness of test request form, contamination rates and sample loading interval. There was an improvement in the intimation of critical Gram stain from positive flagged bottles, which was not statistically significant. Conclusion: Our study highlights how educational interventions can influence quality of BC. Continuous monitoring and interventions are key for quality improvement in BC processes.

Indexed as

Automated blood cultureKey performance indicatorQuality improvementStandard operating procedures

Identifiers

PMID40463613
PMCPMC12127276

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.