Evidence map›Paper›PMID 35729549›Full record

Observational studyBMC medical informatics and decision making2022

Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates.

Sumaya Al Zarouni, Noor Majed Al Mheiri, Kalthoom Al Blooshi, Yousif Al Serkal, Neema Preman, Sadaf Ahsan Naqvi, Yasir Khan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
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  7. Review
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

7 authors at 1 institution in 1 country.

Sumaya Al ZarouniEmirates Health Services, Dubai, United Arab Emirates.
Noor Majed Al MheiriEmirates Health Services, Dubai, United Arab Emirates.
Kalthoom Al BlooshiEmirates Health Services, Dubai, United Arab Emirates.
Yousif Al SerkalEmirates Health Services, Dubai, United Arab Emirates.
Neema PremanCerner Middle East, Dubai, United Arab Emirates.
Sadaf Ahsan NaqviCerner Middle East, Dubai, United Arab Emirates. Sadaf.naqvi@cerner.com.
Yasir KhanCerner Middle East, Dubai, United Arab Emirates.
Abu Dhabi Health Services · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlmost eight children per 1000 live births are expected to have a congenital heart defect globally. The seven most critical congenital heart conditions that cause severe compromise on the patient's quality and duration of life are collectively referred to as the Critical Congenital Heart Diseases (CCHD). CCHD is a critical condition that requires prompt detection and intervention as a life-saving measure. Pulse oximetry is a non-invasive, highly specific, and moderately sensitive method that can be used for screening new-borns for CCHD. The Emirates Health Services (EHS), UAE, adopted a strategy of developing a stringent program for newborn screening of Critical Congenital Heart disease, which would help in the early diagnosis and treatment of CCHD patients. An automated EMR (Wareed) driven solution was introduced to enhance this program as part of the routine workflow for the nurse care providers.

methodsOur study is a retrospective observational study that aims to understand: the prevalence of CCHD in our target population and to study the impact of an automated program on screening compliance and its implications for early diagnosis of CCHD.

resultsWe found that an EMR-driven automated screening program was highly effective in achieving high compliance (98.9%). It created a (statistically significant) improvement in the disease identification for CCHD in live births at EHS facilities.

conclusionWe conclude that implementing an automated protocol through the EMR can effectively improve new-born screening coverage. It reduces the days to CCHD diagnosis, which would improve health outcomes in neonates.

Indexed as

Electronic Health RecordsHeart Defects, CongenitalChildHumansInfant, NewbornNeonatal ScreeningOximetryRetrospective StudiesUnited Arab EmiratesCritical congenital heart diseaseElectronic medical recordNew-born screening

Identifiers

PMID35729549
PMCPMC9214992
OpenAlexW4283313254

What OpenQuestion holds

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LicenceCC BY
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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.