Evidence map›Paper›PMID 42016284›Full record

ArticleHealth science reports2026

Shared Frailty Survival Analysis of Neonatal Hypothermia and Its Predictors Among Neonates Admitted to the Neonatal Intensive Care Unit at Pawe General Hospital.

Aboma Tolessa Denta, Yonas Shuke Kitawa, Gezahagn Mekonnen Woldemedihn, Buzuneh Tasfa Marine

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In one paragraph

Article in Health science reports, 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

What it found

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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

4 authors.

Aboma Tolessa DentaDepartment of Statistics, College of Natural and Computational Science Oda Bultum University Chiro Ethiopia.ORCID https://orcid.org/0009-0006-8042-0727
Yonas Shuke KitawaDepartment of Statistics, College of Natural and Computational Science Hawassa University Hawassa Ethiopia.
Gezahagn Mekonnen WoldemedihnDepartment of Statistics, College of Natural and Computational Science Hawassa University Hawassa Ethiopia.
Buzuneh Tasfa MarineDepartment of Epidemiology and Biostatistics, Faculty of Public Health Jimma University Jimma Ethiopia.ORCID https://orcid.org/0009-0004-0180-9669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal hypothermia is a major public health concern that threatens the survival and well-being of newborns, particularly those admitted to neonatal intensive care units. In Ethiopia, where the burden of neonatal hypothermia remains high, it contributes substantially to neonatal morbidity and mortality. This study aimed to model the time to recovery from neonatal hypothermia and identify its predictors using a shared frailty survival analysis among neonates admitted to the neonatal intensive care unit at Pawe General Hospital. Methods: A retrospective follow-up study was conducted among 425 neonates admitted with hypothermia to the NICU of Pawe General Hospital. Time to recovery was analyzed using survival analysis techniques. Non-parametric methods were used to compare recovery experiences across demographic and clinical characteristics, and parametric accelerated failure time and shared frailty models were fitted to identify significant predictors while accounting for unobserved heterogeneity. Model selection was based on Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Results: The log-logistic gamma shared frailty model was identified as the best-fitting model. The frailty effect at the level of place of childbirth was statistically significant (θ = 1.228; Conclusion: The findings indicate that recovery from neonatal hypothermia is influenced by maternal, socioeconomic, neonatal, clinical, and contextual factors. The significant frailty effect underscores the importance of accounting for clustering by place of childbirth when modeling recovery time. Interventions aimed at improving early breastfeeding practices, promoting skin-to-skin contact, and strengthening neonatal care, particularly for preterm and low birth weight infants, may substantially reduce recovery time and improve neonatal outcomes.

Indexed as

Neonatal hypothermianeonatal intensive care unit predictorsshared frailty modeltime to recovery

Identifiers

PMID42016284
PMCPMC13092718

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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.