Analysis of the Survival of Children Under Five in Indonesia and Associated Factors

Warrohmah, Annisa Nur Islami; Berliana, Sarni Maniar; Nursalam, Nursalam; Efendi, Ferry; Haryanto, Joni; Has, Eka Mishbahatul Mar’ah; Ulfiana, Elida; Wahyuni, Sylvia Dwi

doi:10.1088/1755-1315/116/1/012014

Cited by 13 publications

(13 citation statements)

References 13 publications

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“…The risk of death is also higher by 1.5 times among children born from the birth interval between 18 and 23 months compared to a birth interval greater than 24 months. Thus, agreeing with the findings of some previous studies [ 3 , 9 , 16 , 21 , 22 , 25 ]. A possible explanation is that a shorter length of the birth interval increases the risk of premature birth, low birth weight, maternal depletion syndrome, folate insufficiency, and newborn exposure to the susceptibility of infectious disease and in addition, it leads to competition in familial resource among children [ 26 ].…”

Section: Discussionsupporting

confidence: 94%

“…Findings have shown that children born other than health institutions have a 17% risk experience of under-five mortality compared to under-five children who were born in a health institution. Similar studies conducted in Pakistan [ 27 ], Indonesia [ 22 ], and Nigeria [ 21 ] showed that the place of delivery is significantly associated with childhood survival. Children born from mothers who have access to safe drinking water had a significant risk of under-five mortality.…”

Section: Discussionsupporting

confidence: 60%

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Time to death and its determinants among under-five children in Sub-Saharan Africa using the recent (2010–2018) demographic and health survey data: country-based shared frailty analyses

et al. 2021

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Background Substantial global progress has been made in reducing under-five mortality since 1990, yet progress is insufficient to meet the sustainable development goal of 2030 which calls for ending preventable child deaths. There are disproportional survivals among children in the world. Therefore, the study aimed to assess the Survival status of under-five mortality and determinants in Sub-Saharan African Countries using the recent DHS data. Methods The data was retrieved from the birth record file from the standard Demographic and Health Survey dataset of Sub-Saharan Africa countries. Countries that have at least one survey between 2010 and 2018 were retrieved. Parametric shared frailty survival analysis was employed. Results A total of 27,221 (7.35%) children were died before celebrating their fifth birthday. Children at an early age were at higher risk of dying and then decrease proportionally with increased age. The risk of death among rich and middle family were lowered by 18 and 8% (AHR =0.82, 95% CI: 0.77-0.87) and (AHR = 0.92, 95% CI: 0.87-0.97) respectively, the hazard of death were 11, 19, 17, 90 and 55% (AHR = 1.06, 95% CI: 1.00-1.12), (AHR = 1.11,95%CI:1.04-1.19), (AHR = 1.17, 95% CI:1.12-1.23), (AHR = 1.90, 95%CI: 1.78-2.04) and (AHR = 1.55, 95% CI:1.47-1.63) higher than among children in rural, use unimproved water, delivered at home, born less than 18 months and between 18 and 23 months birth intervals respectively. The hazard of death was 7% among females and low birth weights (AHR = 0.93, 95%CI: 0.90 – 0.97) and (AHR = 0.93 95%CI: 0.89-0.97) respectively. There was also a significant association between multiple births and birth orders (AHR = 2.11, 95%CI: 2.51 – 2.90), (AHR = 3.01, 95%CI: 2.85-3.19) respectively. Conclusions Death rate among under-five children was higher at an early age then decreases as age advanced. Wealth status, residence, water source, place of delivery, sex of the child, plurality, birth size, preceding birth interval, and birth order were the most predictor variables. The health care program should be designed to encourage a healthy family structure. The health care providers should intervene in the community to inspire maternal health services.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 60%

Time to death and its determinants among under-five children in Sub-Saharan Africa using the recent (2010–2018) demographic and health survey data: country-based shared frailty analyses

et al. 2021

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“…Los cálculos de acceso geográfico permitieron presentar de manera sintética los grandes retos en caso de penetración de la pandemia, con tiempos medianos de acceso a atención médica de entre 11,9 y 16,1 horas en el río Inírida, o entre 8,7 y 12,3 en el rio Guainía (frontera), que no garantizan oportunidad en la atención en caso de una urgencia respiratoria, como la producida por COVID-19. En áreas remotas hay que garantizar estrategias que reduzcan el riesgo de enfermar y morir (12), pues su probabilidad aumenta cuando se está lejos de los sitios de atención (13), cuando se vive en zonas rurales (14,15) o lejos de un hospital, en el caso de la mortalidad materna y perinatal (16); asimismo, los menores de cinco años corren un gran riesgo si viven a más de 5 km del centro de atención (17), este es el caso de la neumonía (18) y el de otras causas respiratorias (19); lo mismo sucede al vivir a más de 7 km, hecho que aumenta la probabilidad de la mortalidad neonatal temprana (20) o al vivir a más de 80 km, en el caso de la mortalidad neonatal (21).…”

Section: Discussionunclassified

Condiciones en la frontera sur entre Colombia y Venezuela ante la pandemia de COVID-19

et al. 2020

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Objetivos Dimensionar la migración humana en la frontera sur entre Colombia y Venezuela (Departamento de Guainía), y caracterizar las condiciones sociales, de acceso y de atención en salud frente a la pandemia de COVID-19.Métodos Estudio mixto, epidemiológico y etnográfico. Se calcularon: tasa de migrantes venezolanos (según Migración Colombia al 31 de diciembre de 2019), acceso efectivo a atención médica y dotación en puestos de salud (según datos recolectados entre junio de 2017 y julio de 2019, en todos los puestos de salud de Guainía, mediante entrevistas semiestructuradas, observación participante y el uso de Google Earth™ y Wikiloc™). Los tiempos medianos se calcularon y graficaron en Stata™. Se describieron dinámicas culturales y de atención en salud a partir del trabajo de campo y de una permanente revisión documental.Resultados Guainía ocupa el puesto 23 en número total de venezolanos, pero es el cuarto departamento en densidad de venezolanos (14,4%). En ausencia del centro de salud de San José, en el río Guainía los tiempos medianos hasta la institución de referencia real son de 8,7 horas en invierno y 12,3 en verano y los casos complejosb requieren remisión aérea. En el río Inírida, sin el centro de Chorro Bocón, los tiempos reales son de 11,9 horas en invierno y 16,1 en verano. Solo el 57% de los puestos de salud tenía insumos para manejar infección respiratoria aguda.Conclusiones Ante la llegada de COVID-19 a territorios sur-fronterizos, es necesario fortalecer inmediatamente servicios médicos y de salud pública para evitar elevadas tasas de letalidad.

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“…And the rest, women presumed as normal in the birth interval. Several variables used include mother's age, mother's age at first giving birth, father's age, household wealth, succeeding birth interval, breastfeeding status, child sex, residence, mother's education, mother's working status, contraception used, child alive, total children, number of living children, household members, and health insurance [18]- [22].…”

Section: Methodsmentioning

confidence: 99%

Short birth intervals classification for Indonesia’s women

et al. 2022

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Birth interval is closely related to maternal and infant health. According to world health organization (WHO), the birth interval between two births is at least 33 months. This study is the first to discuss the short birth interval (SBI) in Indonesia and used data from the Indonesian Demographic and Health Surveys 2017 with a total of 34,200 respondents. Birth interval means the length of time between the birth of the first child and the second child. Categorized as SBI if the distance between births is less than 33 months. The variables used include mother's age, mother's age at first giving birth, father's age, household wealth, succeeding birth interval, breastfeeding status, child sex, residence, mother's education, health insurance, mother's working status, contraception used, child alive, total children, number of living children, and household members. Machine learning algorithms including logistic regression, Naïve Bayes, lazy locally weighted learning (LWL), and sequential minimal optimization (SMO) are applied to classify SBI. Based on the values of accuracy, precision, recall, F-score, matthews correlation coefficient (MCC), receiver operator characteristic (ROC) area, precision-recall curve (PRC) area, the Naïve Bayes is the best algorithm with scores obtained 0.891, 0.889, 0.891, 0.885, 0.687, 0.972, and 0.960 respectively. Additionally, 18.25% of mothers were classified as still giving birth within a short interval.

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Analysis of the Survival of Children Under Five in Indonesia and Associated Factors

Cited by 13 publications

References 13 publications

Time to death and its determinants among under-five children in Sub-Saharan Africa using the recent (2010–2018) demographic and health survey data: country-based shared frailty analyses

Time to death and its determinants among under-five children in Sub-Saharan Africa using the recent (2010–2018) demographic and health survey data: country-based shared frailty analyses

Condiciones en la frontera sur entre Colombia y Venezuela ante la pandemia de COVID-19

Short birth intervals classification for Indonesia’s women

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