Evidence map›Paper›PMID 33403174›Full record

ArticleCureus2020

The Impact of Evidence-Based Transformation on Healthcare Practices at a Teaching Hospital.

Aisha Wali, Annum Ishtiaq, Anum Rahim, Sundus Iftikhar

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. 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, top 78% of its field
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, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Aisha WaliObstetrics and Gynecology, The Indus Hospital, Karachi, PAK.
Annum IshtiaqFamily Medicine, The Indus Hospital, Karachi, PAK.
Anum RahimEpidemiology and Public Health, The Indus Hospital, Karachi, PAK.
Sundus IftikharStatistics, Indus Hospital Research Center, The Indus Hospital, Karachi, PAK.
Indus Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective In this study, we aimed to compare the frequency of anemia, blood transfusions, and the use of antimicrobial therapy (AMT) before the implementation of standard protocols in obstetrics and gynecology with the data after one year of implementation at a teaching hospital. Methods In this retrospective observational study, the pre-intervention data (group A) were compared to the data after the implementation of standard protocols (group B). Data were retrieved from hospital electronic medical records and were entered and analyzed on SPSS Statistics version 24 (IBM, Armonk, NY). Results In obstetrics (n=829), anemia was observed in 43.1% vs. 26.8% (p<0.001) and transfusion rate in 5.4% vs. 0.6% (p<0.001) in the groups A and B respectively. In vaginal deliveries (VD), the use of AMT for >24 hours was 98% in group A vs. 9% in group B, and in cesarean deliveries (CD), it was 100% in group A vs. 54.5% in group B (p<0.001). The cost of AMT decreased by 78.4% in VD and by 51.1% in CD. In gynecology (n=221), the prevalence of anemia was 22.6% in group A vs. 17.9% in group B (p=NS). In minor procedures, the use of AMT for >24 hours was 76.7% vs. 8.4% (p<0.001), and in major procedures, it was 86.5% vs. 38% (p<0.001) between the two groups. The cost of AMT decreased by 79.5% in minor procedures and 26.4% in major procedures. Conclusion The implementation of quality standards can bring about significant improvements in clinical outcomes in a short period of time.

Indexed as

anemia in pregnancyantimicrobial therapyaverage length of hospital staycost of antibiotics in surgical proceduresquality carestandard protocolssurgical site infection

Identifiers

PMID33403174
PMCPMC7773286
OpenAlexW3108201548

What OpenQuestion holds

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Registered trials

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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.