scholarly journals Understanding Public Sector Innovation from A Local Perspective: Contra War (Contraceptive for Women at Risk) Innovation Study in Malang Regency

2021 ◽  
Vol 17 (2) ◽  
pp. 205-222
Author(s):  
Ali Roziqin ◽  
Amaliana Nur Fajrina
Keyword(s):  
At Risk ◽  
Public Sector ◽  
Infant Mortality ◽  
Infant Mortality Rate ◽  
Organisational Capacity ◽  
Public Sector Innovation ◽  
Mortality Index ◽  
Innovative Work ◽  
Innovation Study ◽  
Local Perspective

This research aims to understand public sector innovation from a local perspective with a study of the Contra War (Contraceptive for Women at Risk) innovation study in Malang Regency. This innovation aims to reduce maternal and infant mortality rates. This research used a qualitative study with document analysis. Researchers analysed documents from various sources such as official government reports, government regulations, online media news, scientific literature, and books. The result shows that the Contra War innovation has not significantly reduced maternal and infant mortality, but gradually the Contra-War has reduced maternal mortality index (Angka Kematian Ibu/AKI) cases from 27 in 2019 to 14 cases. Meanwhile, infant mortality rate (Angka Kematian Bayi/AKB as many as 62 people in 2020. Another side, the sustainability of innovation has not gone well because of low participation, innovative organisational capacity, and transformational leadership. Therefore, researchers provide suggestions for increasing public participation, collaborating with third parties, and creating innovative work ecosystems and bureaucratic structures.

scholarly journals Observational study on the efficiency of Neonatal Emergency Transport in reducing mortality and morbidity indexes in Sicily

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Raffaele Falsaperla ◽  
Giovanna Vitaliti ◽  
Barbara Amato ◽  
Marco Andrea Nicola Saporito ◽  
Laura Mauceri ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Observational Study ◽  
Risk Index ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Mortality And Morbidity ◽  
Mortality Index ◽  
Emergency Transport ◽  
National Statistic

AbstractIn these last 25 years, the Neonatal Emergency Transport (NET) service has been widely improved in Italy. To date, all National areas are covered by a NET service; 53 NET centers have been activated in all the Italian territory. Herein, the authors present an observational study to evaluate the rate of infantile mortality after introduction of NET in Sicily, and to study the efficiency of this service in reducing these rates of mortality in vulnerable neonates, transported from primary care birth centers to tertiary facilities to undergo to specialized NICU assistance. All neonates who required an emergency transport by NETS were included. No exclusions criteria were applied. Demographic and regional infantile mortality data, expressed as infant mortality rate, were selected by the official government database (ISTAT- National Statistic Institute—http://www.istat.it). All data were respectively divided into three groups: data concerning transport, clinical condition, and mortality of the transported patients. We transported by NET 325 neonates. The analysis of the infant mortality rate (per 1.000 live births) in Catania from 2016 to 2018 was reduced compared to the same rate calculated before NETS activation (4.41 index before 2016 vs 4.17 index after 2016). These data showed an increase in other provinces (Enna, Caltanissetta, and Agrigento). 61% of neonates showed a respiratory disease. During the study period the proportion of neonates with a Mortality Index for Neonatal Transportation—MINT < 6 has been reduced, while there was an increase of neonates with higher Transport Risk Index of Physiologic Stability-TRIPS score results. The slight decrease of infantile mortality in Catania during the first three years after introduction of NET follows the same trend of all Italian territories, showing the importance of this service in reducing infantile mortality.

Perbandingan Linieritas Dalam Pendeteksian Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Aceh

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Health Workers ◽  
Additive Model ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Penalized Spline ◽  
Aceh Province

Angka Kematian Bayi/ Infant Mortality Rate (IMR) merupakan indikator penting dalam mengukur keberhasilan pengembangan kesehatan. Nilai IMR juga dapat digunakan untuk mengetahui tingkat kesehatan ibu, kondisi kesehatan lingkungan dan secara umum, tingkat pengembangan sosio-ekonomi masyarakat. Penelitian ini bertujuan untuk memperoleh model IMR terbaik menggunakan tiga pendekatan: Model Linear, Model Linear Tergeneralisir dan Model Aditif Tergeneralisir dengan basis P-spline. Sebagai tambahan, berdasarkan model tersebut akan terlihat variabel yang mempengaruhi tingkat kematian bayi di provinsi Aceh. Penelitian ini menggunakan data jumlah kematian bayi di tahun 2013-2015. Data dalam penelitian ini diperoleh dari Profil Kesehatan Aceh. Hasil menunjukkan bahwa model terbaik dalam menjelaskan angka kematian bayi di provinsi Aceh tahun 2013-2015 ialah Model Linear Tergeneralisir dengan basis P-spline menggunakan parameter penghalusan 100 dan titik knots 8. Faktor yang sangat mempengaruhi angka kematian ialah jumlah pekerja yang sehat.   Infant mortality rate (IMR) is an important indicator in measuring the success of health development. IMR also can be used to knowing the level of maternal health, environmental health conditions and generally the level of socio-economic development in community. This research aims to get the best model of infant mortality data using three approaches: Linear Model, Generalized Linear Model and Generalized Additive Model with Penalized Spline (P-spline) base. In addition, based on the model can be seen the variables that affect to infant mortality in Aceh Province. This research uses data number of infant mortality in Aceh Province period 2013-2015. The data in this research were obtained from Aceh’s Health Profile. The results show that the best model can be explain infant mortality rate in Aceh Province period 2013-2015 is GAM model with P-spline base using smoothing parameter 100 and knots 8. Factor that high effect to infant mortality is number of health workers.

Pengaruh Perawatan Metode Kanguru (PMK) terhadap Pencegahan Hipotermi pada Bayi Baru Lahir

2020 ◽  
Vol 2 (2) ◽  
pp. 66-71
Author(s):  
Parti ◽  
Sumiati Malik ◽  
Nurhayati
Keyword(s):  
Birth Weight ◽  
Infant Mortality ◽  
Low Birth Weight ◽  
Health Workers ◽  
Kangaroo Mother Care ◽  
Infant Mortality Rate ◽  
P Value ◽  
Low Birth Weight Infants ◽  
Low Birth Weight Babies ◽  
Before And After

Most causes of infant death are problems that occur in newborn/neonatal (0-28 days old), Low Birth Weight Babies (LBW) is one of the factors which has a contribution to infant mortality, especially in the neonatal period. Infant Mortality Rate (IMR) is a benchmark in determining the degree of public health, both at the National and Provincial levels. This study aimed to determine the effect of the Kangaroo Mother Care Method (KMC) on the prevention of hypothermia in low birth weight infants at Morowali District Hospital in 2019. The type of research used was a quasi-experiment. The population is all low birth weight babies born from May to July 2019. The sample in this study was all newborns with low birth weight born from May to July 2019, totaling 30 babies. There is a difference (influence) on the baby's body temperature before and after KMC with a p-value=0,000. The kangaroo mother care can continue to be affiliated considering its benefits for both infants and mothers, as well as increasing the ability of health workers in conducting KMC so that they can provide in-house training for mothers to be carried out at home.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

Measuring Effectiveness Of Economic Growth On Reducing Infant Mortality Rate In Tamilnadu

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Relationship ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Per Capita ◽  
The Impact ◽  
Adf Test ◽  
Bound Test

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.

scholarly journals Living Labs for Public Sector Innovation: An Integrative Literature Review

2021 ◽  
Vol 11 (2) ◽  
pp. 58
Author(s):  
Lars Fuglsang ◽  
Anne Vorre Hansen ◽  
Ines Mergel ◽  
Maria Taivalsaari Røhnebæk
Keyword(s):  
Public Sector ◽  
Literature Review ◽  
Public Administration ◽  
Research Literature ◽  
Future Research ◽  
The Public ◽  
Public Sector Innovation ◽  
Multiple Dimensions ◽  
Living Labs ◽  
Elusive Concept

The public administration literature and adjacent fields have devoted increasing attention to living labs as environments and structures enabling the co-creation of public sector innovation. However, living labs remain a somewhat elusive concept and phenomenon, and there is a lack of understanding of its versatile nature. To gain a deeper understanding of the multiple dimensions of living labs, this article provides a review assessing how the environments, methods and outcomes of living labs are addressed in the extant research literature. The findings are drawn together in a model synthesizing how living labs link to public sector innovation, followed by an outline of knowledge gaps and future research avenues.

A Participatory, State–Community–Academic Model to Improve Pregnancy Outcomes in Texas: The Healthy Families Initiative

2020 ◽  
pp. 109019812097715
Author(s):  
Divya A. Patel ◽  
Meliha Salahuddin ◽  
Melissa Valerio ◽  
Nagla Elerian ◽  
Krystin J. Matthews ◽  
...  
Keyword(s):  
Infant Mortality ◽  
Pregnancy Outcomes ◽  
Stakeholder Engagement ◽  
Infant Health ◽  
Secondary Data ◽  
Health Indicators ◽  
Infant Mortality Rate ◽  
State Agency ◽  
Missed Opportunities ◽  
Community Factors

Background While the Texas infant mortality rate (IMR) is below the Healthy People 2020 objective (5.7 per 1,000 live births), stark differences in IMR are seen across Texas communities. Health indicators for the state suggest important missed opportunities for improving maternal and infant outcomes. The Healthy Families initiative was a collaboration between a Texas state agency, community partners, and academic institutions to understand how evidence-based interventions could be identified, adapted, and implemented to address community priorities and reduce disparities in pregnancy outcomes. Method The Healthy Families initiative included two Texas counties, one with low utilization of prenatal care and one with persistent disparities in infant mortality. The model served to (1) identify community factors influencing IMR and maternal morbidity through stakeholder engagement and secondary data, (2) build community capacity to link pregnant women with existing and newly developed services, and (3) develop partnerships within the community and clinics to improve access to and sustainability of services. Results A community-based participatory approach focused on stakeholder engagement was used to identify, design, and adapt strategies to address community-identified priorities. Conclusions The Healthy Families initiative is a unique state–community–academic partnership aimed at improving pregnancy outcomes in vulnerable communities, with a focus on promotion of capacity building, maintenance, and sustainability of maternal and infant health programs.

scholarly journals The Role of Place of Delivery in Preventing Neonatal and Infant Mortality Rate in India

Geographies ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 47-62
Author(s):  
Ujjwal Das ◽  
Barkha Chaplot ◽  
Hazi Mohammad Azamathulla
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Public Hospitals ◽  
Infant Mortality Rate ◽  
Private Institutions ◽  
Public And Private ◽  
Place Of Delivery ◽  
At Home

Skilled birth attendance and institutional delivery have been advocated for reducing maternal, neonatal mortality and infant mortality (NMR and IMR). This paper examines the role of place of delivery with respect to neo-natal and infant mortality in India using four rounds of the Indian National Family Health Survey conducted in 2015–2016. The place of birth has been categorized as “at home” or “public and private institution.” The role of place of delivery on neo-natal and infant mortality was examined by using multivariate hazard regression models adjusted for clus-tering and relevant maternal, socio-economic, pregnancy and new-born characteristics. There were 141,028 deliveries recorded in public institutions and 54,338 in private institutions. The esti-mated neonatal mortality rate in public and private institutions during this period was 27 and 26 per 1000 live births respectively. The study shows that when the mother delivers child at home, the chances of neonatal mortality risks are higher than the mortality among children born at the health facility centers. Regression analysis also indicates that a professionally qualified provider′s antenatal treatment and assistance greatly decreases the risks of neonatal mortality. The results of the study illustrate the importance of the provision of institutional facilities and proper pregnancy in the prevention of neonatal and infant deaths. To improve the quality of care during and imme-diately after delivery in health facilities, particularly in public hospitals and in rural areas, accel-erated strengthening is required.

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