印度泰兰卡邦梅德查尔 Mediciti 医院新生儿重症监护室新生儿的临床社会人口特征

Anusha Dunnapothula, Leo S. Vaz, S. Valsangkar, Suguna Dummpala
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引用次数: 0

摘要

背景:儿童在出生后 28 天内面临最大的疾病和死亡风险。新生儿基本护理(如体温调节和母乳喂养)的改善已大大降低了新生儿死亡率和发病率。但仍需加强对新生儿的高级护理。找出影响新生儿死亡率和发病率的因素,并通过一整套循证干预措施加以解决,对于避免可预防的死亡至关重要:本研究分析了印度海得拉巴一家三级医院农村外展区的横断面研究数据,以评估影响新生儿发病率的临床和社会人口因素。研究对象包括新生儿重症监护室收治的 150 名新生儿及其母亲。采用半结构式问卷,通过面对面访谈获得回答。使用 R 统计软件(4.3.2 版)进行描述性和推论性分析:在 150 名新生儿中,99 名(66%)新生儿因呼吸窘迫入院。39(26%)名男婴为低出生体重儿,28(18.67%)名女婴为低出生体重儿。低出生体重、高危妊娠和新生儿性别之间没有明显关联。低社会经济地位与低出生体重之间存在明显关联:新生儿死亡率和发病率可归因于多种因素,包括新生儿特征、产妇特征、卫生基础设施和卫生人力。然而,在低收入和中等收入国家,影响新生儿的社会人口风险因素的发生率高得不成比例。需要采取多管齐下的方法来解决新生儿出生体重不足和发病率的多模式成因问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinico-socio demographic characteristics of neonates at NICU, Mediciti Hospital, Medchal, Telangana, India
Background: Children face the greatest risk of disease and death in their first 28 days. Improvements in basic neonatal care such as thermoregulation and breastfeeding have substantially reduced neonatal mortality and morbidity. There is still a need to strengthen the provision of advanced care for neonates. Identifying factors impacting neonatal mortality and morbidity and addressing them through a package of evidence-based interventions are essential to avoiding preventable deaths. Methods: The current study analyses data from a cross-sectional study in the rural outreach area of a tertiary hospital in Hyderabad, India to assess clinical and socio-demographic factors affecting neonatal morbidity. One hundred and fifty neonates admitted in neonatal intensive care unit and their mothers were included. A semi-structured questionnaire was used to obtain responses through face-to-face interview. Descriptive and inferential analyses were performed using R Statistical Software (version 4.3.2). Results: Among the 150 neonates, 99 (66%) neonates were admitted for respiratory distress. 39 (26%) males were low birth weight and 28 (18.67%) females were low birth weight. There was no significant association between low birth weight, high risk pregnancy and gender of the neonate. A significant association was obtained between low socio-economic status and low birth weight. Conclusions: Neonatal mortality and morbidity can be attributed to several factors including neonatal characteristics, maternal characteristics, health infrastructure and health manpower. However, prevalence of socio-demographic risk factors affecting neonates is disproportionately higher in low- and middle-income countries. A multi-pronged approach is required to address the multimodal causation of low birth weight and morbidity in neonates.
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