Evidence map›Paper›PMID 39924574›Full record

SynthesisNursing open2025

Supportive Nursing Care Intervention for Handling Depression and Anxiety Among Mothers of Neonates Admitted in Neonatal Intensive Care Unit (NICU): A Meta-Analysis.

Xiaohua Zhu, Lijuan Fan

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nursing open, 2025. 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

2 authors.

Xiaohua ZhuClinical Medical Laboratory Center, Children's Hospital of Shanxi Province (Maternal and Child Health Hospital of Shanxi Province), Taiyuan, China.ORCID https://orcid.org/0009-0002-6899-7647
Lijuan FanDepartment of Obstetrics and Gynecology, Shanxi Provincial Children's Hospital (Shanxi Maternal and Child Health Center), Taiyuan, China.ORCID https://orcid.org/0009-0002-8635-5293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to evaluate the effectiveness of supportive nursing care interventions in reducing depression and anxiety among mothers with infants in the neonatal intensive care unit.

designSystematic review and meta-analysis.

methodsRandomised controlled trials conducted in mothers with infants admitted to the neonatal intensive care unit with any form of supportive nursing interventions compared to no intervention or usual care in terms of either reduction in depression or reduction in anxiety level of the mothers reported in both groups were included. The GRADE approach assessed the quality of evidence, while the pooled standardised mean difference with 95% confidence intervals (CIs) was calculated using a random-effects model.

resultsOverall, 18 studies were included. For depression, the pooled standardised mean difference was -0.24 (95% CI: -0.44 to -0.04), indicating a significant reduction in depression levels among mothers receiving supportive nursing care compared to standard care. In anxiety, pooled standardised mean difference was -0.61 (95% CI: -0.96 to -0.25), showing substantial reduction in anxiety levels. GRADE findings indicated moderate quality of evidence for depression and very low quality for anxiety, mainly due to heterogeneity and publication bias in anxiety outcomes. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

AnxietyDepressionMothersFemaleHumansInfant, NewbornIntensive Care Units, NeonatalRandomized Controlled Trials as Topicmeta‐analysismothersnursingphysiological stresspostpartum period

Identifiers

PMID39924574
PMCPMC11807762

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.