Evidence map›Paper›PMID 32518930›Full record

ArticleSaudi medical journal2020

Enhancing the utilization of packed red blood cells stock in maternity hospitals.

Waleed M Bawazir, Fahad M Dakkam

Open access · diamondAbstract read
In one paragraph

Article in Saudi medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 56% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

Waleed M BawazirMedical Laboratory Technology Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. E-mail. wbawazir@kau.edu.sa.
Fahad M Dakkam
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess and enhance the efficiency of transfusion services in maternity hospitals.

methodsA case control study was conducted from January to December 2016. A corrective policy of replacing preoperative type and hold step with blood transfusion request (BTR) hold was used only on healthy patients undergoing elective cesarean sections (c-section). The crossmatch/transfusion (C:T) ratio and a cost comparison were the evaluating factors. Data were analyzed using an Excel spreadsheet and SPSS statistical software.

resultsA total of 1,200 BTRs were analyzed, comprising 659 before implementation of the corrective policy and 541 blood transfusion requests after implementation of the corrective policy. From January to March, the C:T ratio of c-sections was nearly 7 times the American Association of Blood Banks recommended limit of 2.5. Most of the blood units (94%) were damaged due to repeated booking. After implementation, the cost-e ectiveness of erythrocyte transfusion was greatly enhanced as all the ordered blood units were used and the C:T ratio was reduced to the ideal limit of one. The number of destroyed units was drastically decreased from 450 units to zero; as a result, 83% of the transfusion costs were saved.

conclusionThe policy enhances the cost-effectiveness of erythrocyte transfusion and laboratory testing, and saves on additional, unnecessary costs.

Indexed as

EfficiencyHospitals, MaternityPolicyBlood Grouping and CrossmatchingCase-Control StudiesCesarean SectionCost-Benefit AnalysisErythrocyte TransfusionFemaleHumansPatient Acceptance of Health CarePregnancy

Identifiers

PMID32518930
PMCPMC7502937
OpenAlexW3033775716

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.