scholarly journals "CHRONIC SORROW THEORY APPLICATION" TO OVERCOME THE FEELING OF LOSS DUE TO INFANT MORTALITY IN POST-PARTUM WOMEN

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Dedeh Sri Rahayu
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Assessment Tool ◽  
Post Partum ◽  
Infant Mortality Rate ◽  
World Health ◽  
Chronic Sorrow ◽  
The World ◽  
Theory Application ◽  
Health Organization

Data from the World Health Organization (WHO) in 2012 stated that 44% of infant deaths in the world occurred in the first 28 days of life (neonatal period). The research results of the Central Statistics Agency (CSA) in 2016 noted that the infant mortality rate (IMR) reached 25.5%, West Java Province was one of the contributors to the highest maternal mortality rate (MMR) and infant mortality rate (IMR). Infant mortality inside the womb or outside the womb triggers grief and deep sorrow that is at risk of progressive, repetitive and permanent in women. Nurses in the maternity area play an important role in overcoming the problem of loss through various approaches to either theory or intervention. The purpose of this study was to determine the application of chronic sorrow theory in post-partum women whose babies were dead at Sariningsih Hospital Bandung. Method: This research was qualitative research. Participants were 5 people selected using purposive sampling techniques. Data collection was done by interviewing using a guide from the Burke / Eakes Chronic Sorrow Assessment Tool. Results: It was identified that women's opinions about the causes of infant mortalities were planned (abortion) and unplanned. Participants had effective coping strategies in dealing with their loss such as social support, and spiritual beliefs for comfort. Conclusion: participants felt the effectiveness of the chronic sorrow theory to overcome infant loss.Keywords: chronic sorrow theory application, loss, post-partum women, Qualitative.

scholarly journals The comparing of infant mortality rate in different World Health Organization regions during 1990–2017

2021 ◽  
Vol 69 (1) ◽  
Author(s):  
Firooz Esmaeilzadeh ◽  
Yousef Alimohamadi ◽  
Mojtaba Sepandi ◽  
Farzad Khodamoradi ◽  
Parisa Jalali
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Ecological Study ◽  
Infant Mortality Rate ◽  
World Health ◽  
The Public ◽  
Live Births ◽  
Health Organization ◽  
Health Situation ◽  
Community Health Status

Abstract Background Infant mortality rate is an important index of community health status and mortality rate. It is also one of the most prominent indexes showing the development of various societies. Regarding the importance of infant mortality rate (IMR), the purpose of current study was to compare and trend analysis of IMR in different areas of the WHO during 1990–2017. In current ecological study, IMR per 1000 live births in different WHO regions from 1990 to 2017 data were derived from the WHO website. The required information included the data about IMR per 1000 live births in different WHO regions from 1990 to 2017. The analysis was performed by using descriptive and analytical methods. Results The IMR during the study period had a significant decreasing trend in all the regions (p < 0.001) but the slope of decrease was greater in Africa than in other regions. The African and European regions had the highest (55.7%) and lowest (17.2%) annual decrease in the infant mortality rate (from 106.3 cases in 1990 to 50.6 in 2017, and from 24.9 in 1990 to 7.7 in 2017), respectively. Conclusion Our results showed that the trend of IMR had a decreasing trend in all WHO regions. It can be due to improving the public health situation in different areas. But the identification of effective factors on IMR needs individuals based studies.

Addressing Black Infant Mortality Through Harnessing the Power of Community

2021 ◽  
pp. 152483992110622
Author(s):  
Francoise Knox-Kazimierczuk ◽  
Deepika Andavarapu ◽  
Meredith Shockley-Smith
Keyword(s):  
Black Women ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Infant Mortality Rate ◽  
World Health ◽  
Institute Of Medicine ◽  
Structural Racism ◽  
Health Organization ◽  
Black Infant ◽  
Hamilton County

In Hamilton County, Ohio, the infant mortality rate is above the national average and the Black infant mortality rate is more than 3 times the white infant mortality rate. These racial disparities in infant mortality cannot be explained through other socio-economic characteristics like education, income, housing, or medical insurance. Research has shown that racism, not race itself, is the driving force behind the high disparity in infant mortality rates in Hamilton County and the nation as well. The World Health Organization (WHO) and the Institute of Medicine have long cited institutional/structural racism and cultural racism as a key factor in health disparity. A paradigm shift needed to occur to address the consequences of racism within the lives of Black women, namely disempowerment and agency. The Commission on Social Determinants of Health (CSDH) model was which engaged Black women and positioned them as an asset, to share in the process of strategizing, creating, and implementing a plan. Queens Village was founded to implement the CSDH model and address the upstream determinants of infant mortality through cultivating a sense of community.

scholarly journals MATERNAL COMPLIANCE IN POSTPARTUM VISITS IN PULAU BULUH VILLAGE BULANG DISTRICT, BATAM CITY

2021 ◽  
Vol 10 (3) ◽  
pp. 1
Author(s):  
Efilona Setri ◽  
Mohd. Faisyal Reza
Keyword(s):  
Mortality Rate ◽  
Maternal Mortality ◽  
World Health Organization ◽  
Frequency Distribution ◽  
Post Partum ◽  
World Health ◽  
Maternal Deaths ◽  
Live Births ◽  
The World ◽  
Health Organization

Background : According to the World Health Organization (WHO), maternal mortality is still quite high, every day around the world around 800 women die from complications during pregnancy, childbirth and the puerperium. In 2013, 289,000 women died during and after pregnancy, childbirth and the puerperium. Between 1990 and 2013, the global maternal mortality rate (i.e. the number of maternal deaths per 100,000 live births) decreased by only 2.6% per year. This figure is still far from the target of reducing the annual MMR (5.5%) needed to achieve the 5th MDG target (Andiani, and Retno, 2014). Method : The research objective was to determine the compliance of mothers in conducting postpartum visits. Result : Results of the Research on Maternal Compliance in Postpartum Visits Postpartum Visits in Pulau Buluh Village, Bulang District, Batam City It was found that maternal post-partum visits in Pulau Buluh Village consisted of 35 respondents, namely 19 respondents (54%) postnatal visits were obedient, and 16 respondents (46 %) postpartum visits are non-compliant Conclusion : It is known that 19 (54%) of the respondent's frequency distribution of Compliance Postpartum visits are complete and 16 (46%) respondents who are incomplete during postpartum visits

scholarly journals Socioeconomic, urban‐rural and sex‐based inequality in infant mortality rate: evidence from 2013 Yemen demographic and health survey

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Betregiorgis Zegeye ◽  
Gebretsadik Shibre ◽  
Jemal Haidar ◽  
Gorems Lemma
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Health Equity ◽  
Formal Education ◽  
Statistical Significance ◽  
Infant Mortality Rate ◽  
World Health ◽  
Rural Residents ◽  
Poor Households ◽  
Urban Rural

Abstract Background The occurrence of Infant Mortality Rate (IMR) varied globally with most of the cases coming from developing countries including Yemen. The disparity in IMR in Yemen however, has not been well dealt and therefore we examined the IMR inequality based on the most reliable methodology in order to generate evidence-based information for some program initiatives in Yemen. Methods Based on the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) software, we analyzed the inequality across the different inequality dimensions in Yemen. The toolkit analyzes data stored in the WHO health equity monitor database. Simple and complex, and absolute and relative measures of inequality were calculated for the four dimensions of inequality (subpopulations) which included wealth, education, sex and residence. We computed a 95 % CI to assess statistical significance. Results The analysis included 31, 743 infants. Absolute and relative wealth-driven, education, urban-rural and sex-based inequalities were found in IMR. Higher concentration of IMR was observed among infants from the poorest/poor households (ACI=-4.68, 95 % CI; -6.57, -2.79, R = 1.61, 95 % CI; 1.18, 2.03), rural residents (D = 15.07, 95 % CI; 8.04, 22.09, PAF=-23.57, 95 % CI; -25.47, -21.68), mothers who had no formal education (ACI=-2.16, 95 % CI; -3.79, -0.54) and had male infants (PAF= -3.66, 95 % CI; -4.86, -2.45). Conclusions Higher concentration of IMR was observed among male infants from disadvantaged subpopulations such as poorest/poor, uneducated and rural residents. To eliminate the observed inequalities, interventions are needed to target the poorest/poor households, rural residents, mothers with no formal education and male infants.

scholarly journals Literature Review The Relationship Of Antenatal Class Towards Mothers’ Knowledge Of DangerousSign During Pregnancy

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Ayu Kurniati ◽  
Enny Fitriahadi
Keyword(s):  
Developing Countries ◽  
Mortality Rate ◽  
Literature Review ◽  
World Health ◽  
Live Births ◽  
Complication Risk ◽  
The World ◽  
Health Organization ◽  
Relationship Of ◽  
The Relationship

IN 2013, the World Health Organization, released data in the form of Maternal Mortality Rate (MMR) worldwide, and the number reached 289,000 per 100, 000 live births, which 99% of cases occurred in developing countries. Research aims to discover the relationship of antenatal class towards mothers’ knowledge of the dangerous sign during pregnancy. The result showed that there is a relationship of antenatal class towards mothers’ knowledge of dangerous sign during pregnancy, From this result, the researcher concludes that antenatal class could increase mothers’ knowledge of dangerous sign during pregnancy and may decrease the complication risk during the childbirth.

scholarly journals Features of machine learning in the study of the main factors of development of countries of the world

2021 ◽  
Vol 110 ◽  
pp. 02006
Author(s):  
Ludmila Borisova ◽  
Galina Zhukova ◽  
Anna Kuznetsova ◽  
Julie Martin
Keyword(s):  
Machine Learning ◽  
Regression Analysis ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Infant Mortality Rate ◽  
Live Births ◽  
Goods And Services ◽  
Machine Learning Methods ◽  
The World

The paper analyzes the socio-economic and demographic indicators of life expectancy in the countries of the world. Methods of regression analysis and machine learning are used. Statistically significant indicators that affect life expectancy around the world have been identified. When analyzing the data using machine learning methods, 13 of the 14 analyzed indicators were statistically significant. Significant indicators, in addition to those selected in the regression analysis, were 3: the under-five infant mortality rate (per 1,000 live births), the Net Barter Terms of Trade Index (2000 = 100), and Imports of goods and services (in % of GDP) (in the regression analysis, only the infant death rate was significant). In addition, it should be noted that there is a significant decrease in the under-five infant mortality rate (per 1,000 live births) for the EU, CIS and South-East Asian countries compared to the border set in the study for all countries: 4.65 vs. 34.9, a decrease in the birth rate from 2.785 to 1.85, a sharp increase in exports of goods and services: from 23.17 to 80.59, a halving in imports of goods and services, a drop in population growth from 2.105 to 0.85. The performed statistical analysis strongly supports the use of machine learning methods in identifying statistically significant relationships between various indicators that characterize the development of countries, if there are gaps in the data.

scholarly journals GAMBARAN IMPLEMENTASI STIKER PROGRAM PERENCANAANPERSALINAN DAN PENCEGAHAN KOMPLIKASI (P4K) DI WILAYAH KERJA UPTD UNIT PUSKESMAS BULUSPESANTREN II KABUPATEN KEBUMEN

2016 ◽  
Vol 12 (2) ◽  
Author(s):  
Eni Indrayani ◽  
Y Yamoto ◽  
Eti Sulastri
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Post Partum ◽  
Program Planning ◽  
Infant Mortality Rate ◽  
Statistical Techniques ◽  
Work Area ◽  
Level Of Knowledge ◽  
Descriptive Method

The government’s efforts to r Maternal Mortality Rate (MMR) and the Infant Mortality Rate (IMR) in Indonesia in reality still far away from the expected target, so as to accelerate the decline in maternal and infant mortality is to implement planning and prevention of complications of childbirth (P4K) through the installation of childbirth stickers on all pregnants house because it is expected to find a best way to save the pregnants, childbirth, post partum, and newborn babyThis aim of this study is to determine how the implementation of mounting stickers and Prevention Program Planning Maternity Complications (P4K) in the Work Area Public Health Center of Buluspesantren II Kebumen in 2013.This research uses descriptive method with a sampling of the total sampling.Analysis of data using univariate data analysis. It is descriptive statistical techniques. Based on research conducted, P4K stickers implementation is not good, as many as 75 respondents (76, 5%) good implementation P4K stickers, showed that all respondents, amounting to 98 pregnant women (100%) have a good level of knowledge, a majority of 23 respondents (23.5%), all respondents (98 pregnant) do not experience obstacles in the implementation of the sticker P4K Keywords: Pregnant, Knowledge, P4K Sticker

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