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April 22, 2026Health Science Reports0 citationsOpen Access

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

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ADAboma Tolessa DentaYKYonas Shuke KitawaGWGezahagn Mekonnen Woldemedihn

Key Points

  • The aim is to model recovery time from neonatal hypothermia and identify its predictors in the NICU setting.
  • Retrospective follow-up study of 425 neonates with hypothermia in the NICU.
  • Survival analysis techniques were employed to assess recovery times across various characteristics.
  • Shared frailty models were fitted to identify predictors while addressing unobserved heterogeneity.
  • The log-logistic gamma shared frailty model was the best fit, showing significant frailty effects based on place of childbirth.
  • Factors accelerating recovery included maternal ages 20-39 years, urban residence, higher family income, and early breastfeeding initiation.
  • Conditions like very low birth weight and complications like sepsis strongly predicted prolonged recovery times.

Abstract

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; χ ² = 84.24, p < 0.001), indicating substantial unobserved heterogeneity with moderate intra‐cluster dependence (τ = 0.38). Maternal age 20–29 years (AF = 0.842) and 30–39 years (AF = 0.707), urban residence (AF = 0.823), and above‐average family income (AF = 0.834) were associated with shorter recovery times. Female neonates had slightly prolonged recovery (AF = 1.110). Very low and low birth weight, as well as preterm and post‐term gestational ages, were associated with delayed recovery. Early initiation of breastfeeding (AF = 0.365) and skin‐to‐skin contact (AF = 0.801) accelerated recovery, whereas CPR at birth (AF = 0.857) and admission‐related complications, including prematurity, low birth weight, sepsis, respiratory distress syndrome, asphyxia, and congenital malformations, were strong predictors of prolonged recovery time from neonatal hypothermia. 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.

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Cite This Study

Denta et al. (2026) studied this question.

synapsesocial.com/papers/69e865476e0dea528dde9cf5https://doi.org/10.1002/hsr2.72370
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