Evidence map›Paper›PMID 39415864›Full record

ArticleIranian journal of public health2024

The Effect of Virtual Patient Visits in the Intensive Care Unit on Postpartum Depression.

Serap Kaynak, Hatice Bal Yılmaz, Atika Çağlar, Mine Özdil

Abstract read
In one paragraph

Article in Iranian journal of public health, 2024. 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

4 authors.

Serap KaynakDepartment of Nursing, Department of Pediatric Nursing, Faculty of Health Sciences, Balıkesir University, Balıkesir, Turkey.
Hatice Bal YılmazDepartment of Pediatric Nursing, Faculty of Nursing, Ege University, İzmir, Turkey.
Atika ÇağlarBalıkesir Atatürk City Hospital, Neonatal Intensive Care Unit, Balıkesir, Turkey.
Mine ÖzdilBalıkesir Atatürk City Hospital, Neonatal Intensive Care Unit, Balıkesir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Maternal postpartum depression negatively affects the baby's emotional, behavioral, and cognitive development and attachment pattern. We aimed to examine the effect of virtual patient visits in neonatal intensive care unit on postpartum depression in mothers. Methods: Research data were obtained from mothers whose preterm infants were hospitalized in the neonatal intensive care unit between April and December 2022. A total of 100 mothers of preterm infants (50 in the virtual patient visit and 50 in the control group) treated in the neonatal intensive care unit of a hospital constituted the sample of the study. Using the Zoom application, virtual patient visits were made for 5 minutes, seven days a week, between mother and the preterm infants, with no nursing intervention implemented for at least 30 minutes. Mothers in the control group saw their babies face to face two days a week. In standard hospital procedure, mothers saw their babies twice a week. Edinburgh postpartum depression scale (EPDS) was administered online to the all mothers before and after the study. Results: The research resulted with statistically significant decreased EPDS scores of the mothers in virtual patient visit group with the pre-study scores. A statistically significant decrease was found compared to the control group ( Conclusion: Virtual patient visits between preterm infants in neonatal intensive care unit and their mothers could be effective in preventing or reducing postpartum depression of the mother.

Indexed as

InfantNursingPostpartum depressionVirtual patient visits

Identifiers

PMID39415864
PMCPMC11475168

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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.