Evidence map›Paper›PMID 40021982›Full record

ArticleBMC pregnancy and childbirth2025

Digitization in nursing processes and the use of clinical decision support systems: do they improve perinatal indicators?

Asibe Özkan, Zehra Acar

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. 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

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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. Observational
  2. 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.

Asibe ÖzkanFaculty of Nursing, Department of Obstetrics and Women's Health Nursing, University of Health Sciences, Hamidiye, Istanbul, Turkey. asibe.ozkan@sbu.edu.tr.ORCID http://orcid.org/0000-0002-4278-5278
Zehra AcarFaculty of Nursing, Department of Obstetrics and Women's Health Nursing, University of Health Sciences, Hamidiye, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-1923-3096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing integration of digital technologies in healthcare has significantly enhanced the efficiency and quality of maternal and infant care services, with national and international bodies emphasizing the use of quality indicators to monitor and improve outcomes. Nursing plays a crucial role in this process, and the implementation of Clinical Decision Support Systems (CDSS) can further support nurses in providing high-quality care.

aimThis study was carried out to determine the effects of digitization efforts and the CDSS, which were designed to improve perinatal indicators, on "safe childbirth checklist usage rates", "rates of infants discharged following exclusive breastfeeding", and "rates of mother-infant pairs starting skin-to-skin contact within one hour after delivery".

methodsThe data for this retrospective, descriptive, and correlational study were collected between January and May 2024. The data, which were used to evaluate the perinatal indicators selected for the study and the effectiveness of digitization efforts and the CDSS designed for nursing, were obtained from indicator and log database records made in 2021-2023 in the Turkey Health Quality Indicators System (THQIS).

conclusionIn the comparisons of the World Health Organization safe childbirth checklist usage rates, rates of infants discharged following exclusive breastfeeding, and rates of mother-infant pairs starting skin-to-skin contact within one hour after delivery according to the THQIS records in 2021, 2022, and 2023, the increase from 2021 to 2022 and the increase from the average of 2021-2022 to 2023 were found statistically significant. Digitization in nursing processes and the use of the CDSS were found to be highly beneficial for improving the perinatal indicators examined in the present study.

Indexed as

Decision Support Systems, ClinicalNursing ProcessPerinatal CareQuality Indicators, Health CareAdultBreast FeedingChecklistFemaleHumansInfant, NewbornPregnancyQuality ImprovementRetrospective StudiesTurkeyClinical decision support systemsDigitizationNursing information systemsNursing processOutcomes

Identifiers

PMID40021982
PMCPMC11869734

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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.