Evidence map›Paper›PMID 40786339›Full record

ArticleCureus2025

Improving Skin-to-Skin Care Among Stable Infants in a Level III NICU: A Quality Improvement Project Using Kotter's Change Management Model.

Isaac Lati, Vivian Carrasquilla-Lopez, Bianca Chakravorty, Alok Bhutada, Mehbeen Khan

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Article in Cureus, 2025. 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Isaac LatiDepartment of Neonatology, State University of New York Downstate Health Sciences University, Brooklyn, USA.
Vivian Carrasquilla-LopezDepartment of Neonatology, Maimonides Medical Center, Brooklyn, USA.
Bianca ChakravortyDepartment of Pediatrics, Maimonides Medical Center, Brooklyn, USA.
Alok BhutadaDepartment of Neonatology, Maimonides Medical Center, Brooklyn, USA.
Mehbeen KhanDepartment of Neonatology, Maimonides Medical Center, Brooklyn, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Skin-to-skin care (SSC), also known as kangaroo care, is defined as placing an infant directly prone, typically with the infant's chest against the caregiver's chest. SSC has demonstrated significant benefits for newborns, including improved thermoregulation, cardiorespiratory stability, reduced stress responses, and enhanced neurodevelopmental outcomes. While its use is widely promoted for preterm or critically ill infants, term and clinically stable infants are often overlooked in SSC initiatives despite evidence suggesting they, too, obtain substantial benefit. This is especially true in neonatal intensive care units (NICUs). Most quality improvement (QI) studies related to SSC revolve around critically ill preterm infants. Efforts to improve SSC rates tend to prioritize acutely ill infants, with less attention given to those with short-term NICU admissions and stable conditions. Therefore, non-acutely ill infants miss out on the benefits of SSC. This QI project aimed to address this disparity. Setting The initiative was conducted in a level III NICU located in an urban hospital in Brooklyn, New York. Methods Using the Plan-Do-Study-Act (PDSA) model and Kotter's Eight-Step Change Management framework, we sought to achieve a Specific, Measurable, Achievable, Relevant, Time-Bound (SMART) aim: to increase SSC to 80% of non-acutely ill infants >35 weeks gestational age, admitted to the NICU without respiratory support by hospital day 2, within one year. Key interventions included electronic medical record (EMR) updates, nurse education, parent engagement, and visual bedside cues. Results Between December 2023 and April 2024, 277 newborns admitted to the NICU met our study criteria. SSC rates improved from a baseline of 63.8% to 80.5% across three PDSA cycles. A four-month follow-up phase demonstrated sustained compliance (80.5%, n = 103), indicating durable change. Conclusion Non-acutely ill infants are underserved by the benefit of SSC due to institutional culture and resource allocation that emphasize care for high-acuity patients. This QI initiative shows that, when applied intentionally, structured change management can effectively integrate SSC into routine care for this overlooked population. Through structured change management, we included SSC into routine NICU care, achieving and sustaining our goal.

Indexed as

change managementculture shiftkangaroo mother care (kmc)neonatal intensive care unit (nicu)northeast united statespdsa cyclequality improvement (qi)skin-to-skin care

Identifiers

PMID40786339
PMCPMC12335886

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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.