Evidence map›Paper›PMID 42781215›Full record

ArticleCureus2026

Impact of a Nurse-Led Intervention on Depression and Anxiety Among Mothers of Children Admitted to Selected Intensive Care Units: A Quasi-experimental Study.

Chandravathi Ks, Komala Hk, Nalini M Nuins

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Chandravathi KsPsychiatric Nursing, Adichunchanagiri University, B.G. Nagara, Bellur, IND.
Komala HkCommunity Health Nursing Department, BGS Institute of Nursing Sciences, Adichunchanagiri University, B.G. Nagara, Bellur, IND.
Nalini M NuinsDepartment of Psychiatric Nursing, Nitte Usha Institute of Nursing Sciences, Nitte (Deemed to be University), Mangalore, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess the psychosocial well-being of mothers whose children were admitted to specific ICUs and to examine the impact of the organized nurse-led psychosocial support program on the mental health of these mothers. METHODOLOGY: The research utilized a one-group quasi-experimental pretest-posttest framework involving 300 mothers of children placed in the chosen ICUs of Dakshina Kannada district, Karnataka, India. The sampling technique utilized was non-probability convenience sampling. The Depression Anxiety Stress Scale-42 (DASS-42) was utilized to assess depression and anxiety. Following the pretest evaluation, mothers received a structured, nurse-led psychosocial support program. The tool was also utilized for assessment after the test. Data analysis was conducted using descriptive and inferential statistics. The paired t-test was employed to compare pretest and post-test scores, Pearson's correlation assessed the relationship between depression and anxiety scores, and the chi-square test evaluated the association between psychosocial well-being and chosen demographic variables.

resultsA total of 300 mothers of children admitted to selected ICUs participated in the study. Most mothers were aged 26-35 years, accounting for 185 (61.7%) participants. Before receiving the support package, extremely severe depression was observed among 298 (99.3%) mothers, while severe depression was observed among two (0.7%) mothers. Similarly, all 300 (100.0%) mothers demonstrated extremely severe anxiety. During the post-test assessment, normal depression levels were observed among all 300 (100.0%) mothers. With respect to anxiety, 289 (96.3%) mothers demonstrated normal anxiety levels, whereas 11 (3.7%) mothers had mild anxiety. The average depression score significantly declined from 34.36 ± 2.68 to 4.84 ± 1.71 (t=154.04, p<0.001), whereas the average anxiety score significantly dropped from 34.32 ± 2.58 to 4.57 ± 1.72 (t=165.34, p<0.001). Notable positive correlations were found between depression and anxiety scores in both the pretest (r=0.224, p<0.001) and post-test (r=0.175, p=0.002) evaluations. No significant statistical relationship was observed between initial psychosocial well-being and chosen demographic factors (all p>0.05).

conclusionsThe nurse-led structured psychosocial support package was found to be linked to significant reduction in depression and anxiety levels and significant improvements in socio-emotional outcomes for mothers with children admitted to ICUs. The results emphasize the need to integrate structured psychosocial support into routine nursing care to support caregiver well-being and reinforce family-centered care practices.

Indexed as

depression and anxietyfamily-centered careintensive care units (icus)mothers of hospitalized childrennurse-led interventionpsychosocial well-being

Identifiers

PMID42781215
PMCPMC13598558

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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.