scholarly journals Analisis Diskriminan dalam Menentukan Fungsi Pengelompokan Kabupaten/Kota di Indonesia berdasarkan Indikator Indeks Pembangunan Manusia

2021 ◽  
Vol 5 (1) ◽  
pp. 37
Author(s):  
Nurhasanah Nurhasanah ◽  
Nany Salwa ◽  
Lyra Ornila ◽  
Fitriana AR ◽  
Amiruddin Hasan
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Success Rate ◽  
Human Development ◽  
Discriminant Function ◽  
Human Development Index ◽  
Classification Accuracy ◽  
Indicator Values ◽  
Very High ◽  
Classification Function

The Human Development Index (HDI) is a measure used to measure the success of human development in an area. There are several indicators used to compile the HDI value. Previously, regencies/cities were grouped based on the HDI indicator. The grouping is done using K-means cluster analysis with 4 categories, namely regencies/cities that have low, medium, high, and very high HDI indicator values. From the results of determining the category of the HDI indicator in an area, we need a function that can be used to classify an object into one of the HDI indicator value categories. The compilation of the classification function is carried out using discriminant analysis. The results obtained from the discriminant analysis are that there are 10 variables or indicators that fall into the discriminant function. The resulting discriminant function is quite good in classifying each group with a success rate of more than 85% and the discriminant function is supported by a fairly good validation success rate, namely with a classification accuracy of 93.20%.

scholarly journals Metode Analisis Diskriminan dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Indeks Pembangunan Manusia

2020 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Novi Afryanthi S. ◽  
Muhammad Arif Tiro ◽  
Ansari Saleh Ahmar
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Statistic Analysis ◽  
Development Index ◽  
South Sulawesi ◽  
Life Expectancy Increase

Abstract. Discriminant analysis is a method in multivariat statistic analysis that related with object which have separated into the defined group defined and see the accuracy  of the formed group. In this research, clustera analysis is used for the first grouping,  cluster  analysis is a statistical analysis which aims to classify some objects based on the characteristics similarity among the object. Data for this study is HDI (Human Development Index)  of indicator in south sulawesi in 2016. The result of this research are 1st cluster (lower  HDI indicator) which have 21 city/ distric and the 2nd cluster (higher  HDI indicator) which have 3 city/distric as the closeness value between the cluster that formed is 0.902 which shows the closeness between the cluster is high . Furthermore, the discriminant function that have formed explains that if the life expectancy increase, the HDI indicator in city/distric in south sulawesi province will decrease but if school  expectation duration in school , average of duration in school, and parity of pur hasing power is increasing, the HDI indicator in city/distric in aouth sulawesi will also increase.Keywords: Cluster analysis, Discriminant analysis , Human development index indicator.

Preterm births in countries with a very high human development index

The Lancet ◽  
2013 ◽  
Vol 381 (9875) ◽  
pp. 1355-1356
Author(s):  
E Scott Sills ◽  
Gary S Collins
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Preterm Births ◽  
Development Index ◽  
Very High

Preterm births in countries with a very high human development index – Authors' reply

The Lancet ◽  
2013 ◽  
Vol 381 (9875) ◽  
pp. 1356-1357 ◽  
Author(s):  
Hannah H Chang ◽  
Jim Larson ◽  
Hannah Blencowe ◽  
Cathy Y Spong ◽  
Joe Leigh Simpson ◽  
...  
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Preterm Births ◽  
Development Index ◽  
Very High

Preterm births in countries with a very high human development index

The Lancet ◽  
2013 ◽  
Vol 381 (9875) ◽  
pp. 1355
Author(s):  
Zhan Zhang ◽  
Jing Pan ◽  
Shihong Cui ◽  
Yueshu Zhao ◽  
Nanbert Zhong
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Preterm Births ◽  
Development Index ◽  
Very High

scholarly journals Investigating Inequalities in Access to Healthcare: The Case of Townships of Kermanshah, Iran

2019 ◽  
Author(s):  
Sohyla Reshadat ◽  
Alireza Zangeneh ◽  
Shahram Saeidi ◽  
Raziyeh Teimouri ◽  
Shirin Zardui GolAnbari ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Medical Care ◽  
Human Development ◽  
Human Development Index ◽  
Hierarchical Cluster ◽  
Health Facilities ◽  
Unequal Distribution ◽  
Development Index ◽  
The Mean ◽  
Access To Medical Care

Abstract Background: Access to medical care is one of the major issues affecting human health. This study aims to investigate inequality in access to medical care in the townships in Kermanshah, Iran. Methods: Methodology approach includes a descriptive-analytic study followed by determining the degree of development of the townships calculated in terms of access to medical care through the hierarchical cluster analysis and the combined model of human development index. Additionally, the mean center and standard distance tests are handled in a geographic information system software to identify the deployment pattern of the status of access to medical care indexes. Results: As for the ratio of physicians, nursing staff, paramedical staff, administrative staff of health care, dentists, pharmacists, hospitals, general and specialized clinics, radiology, rehabilitation centers and laboratories to a population of 10,000, the results of analyzing the findings were indicative of unequal distribution of facilities at the level of townships. This is based on The results of comparing the mean centers of population and health facilities showed that the centers of both data categories were located in Kermanshah. The two standard distances (i.e., population and health facilities) demonstrated that the health facilities witnessed more dispersion in the northwestern regions than the concentration of population in the central and southeastern regions of the province. Conclusions: The results indicated that the indexes of development of facilities and healthcare resources were not distributed equitably and with a balance between the townships of the Kermanshah Province. Keywords: healthcare; medical care inequality; human development index; spatial analysis, cluster analysis; Kermanshah, Iran

scholarly journals Association between Human Development Index and Delay on Arrival to Stroke Unit

2021 ◽  
Author(s):  
Gabriel Souza Suzart ◽  
Ingrid Sanchez ◽  
Daniel Guimarães ◽  
Pedro Augusto Assis Lopes ◽  
Pedro Antonio Pereira de Jesus
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Statistical Significance ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Development Index ◽  
Specialized Service ◽  
Time Of Admission ◽  
The Impact ◽  
Very High

Background: Stroke outcomes depend somehow on the time taken from the symptoms onset until arrival to the specialized service. However, as it lacks literature exploring the impact of socio-demographics factors on this time, we investigated the association between Human Development Index and delay on arrival to specialized service. Design and setting: Cross-sectional study from a prospective cohort (PMID=33719516) at Hospital Geral Roberto Santos. Methods: From a total of 454 stroke patients, 156 were included in this study because they had registered address, time of admission and of symptoms onset. Patients had HDI defined by their address and were grouped into HDI categories. Results: In our sample, 57 (36,5%) individuals had medium HDI, 70 (44,9%) high HDI and 29 (18,6%) very high HDI. Very high HDI patients’ delay (2:01; 1:22-2:57) was lower than high HDI (3:05; 2:05-5:26) and medium HDI (2:25;1:45-4:04) patients. There was statistical significance comparing these groups (X²=11,41;p<0,05), but a post-hoc test revealed statistical difference just between the very high HDI and high HDI groups (p<0.05). Conclusions: We expected to find a direct relation between delay on arrival to the stroke service and HDI categories. However, this was not observed. *Authors contributed equally.

Primary healthcare reform for chronic conditions in countries with high or very high human development index: A systematic review

2021 ◽  
pp. 174239532110591
Author(s):  
Mohammed Alyousef ◽  
Corina Naughton ◽  
Colin Bradley ◽  
Eileen Savage
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Chronic Disease ◽  
Human Development ◽  
Primary Healthcare ◽  
Human Development Index ◽  
Healthcare Reform ◽  
Development Index ◽  
Healthcare Reforms ◽  
Very High

Objective To address the growing burden of chronic disease globally, many countries have developed a national policy for primary healthcare reform. In some countries with high and very high human development index, evaluations of the implementation of these reforms have been published. To date, there has been no systematic review of these evaluations. The objectives of this review are to identify: (a) the vision for primary healthcare; (b) the features of primary healthcare reforms; and (c) evaluation findings of primary healthcare reforms. Methods A systematic literature review was conducted guided by the PRISMA statement. We searched for academic articles and grey literature from 1 March 2008 to 1 September 2020. Screening and data extraction were conducted by two authors. Descriptive analysis and narrative synthesis were applied. Results A vision for integrated primary healthcare shifting chronic disease management from specialist hospital services to primary care was found to require new organization and funding models such as collaborative primary healthcare networks and commissioning along with shared governance across health sectors. The need for general practitioner leadership and engagement to support primary healthcare reform was identified. Although there was evidence of barriers in progressing primary healthcare reform, evaluation results showed some positive outcomes, most notably shifts in services towards increased primary care access and utilization. Discussion A challenge in undertaking the review was the heterogeneity of articles with little consistency in how primary healthcare reform was evaluated and reported on across countries. Evaluation of national health reforms involves complex system-wide projects and is an area that needs further exploration and discussion to determine the most appropriate methodologies for collecting and analysing large-scale data with consideration for service and health outcomes.

Preterm births in countries with a very high human development index

The Lancet ◽  
2013 ◽  
Vol 381 (9875) ◽  
pp. 1355 ◽  
Author(s):  
Nikolaos Vlachadis ◽  
Eleni Kornarou
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Preterm Births ◽  
Development Index ◽  
Very High

The global cancer burden and human development: A review

2017 ◽  
Vol 46 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Miranda M. Fidler ◽  
Freddie Bray ◽  
Isabelle Soerjomataram
Keyword(s):  
Risk Factors ◽  
Life Expectancy ◽  
Human Development ◽  
Cancer Incidence ◽  
Human Development Index ◽  
Developed Countries ◽  
Global Perspective ◽  
Cancer Burden ◽  
Development Index ◽  
Very High

Aims: This review examines the links between human development and cancer overall and for specific types of cancer, as well as cancer-related risk-factors and outcomes, such as disability and life expectancy. Methods: To assess human development, the Human Development Index was utilized continuously and according to four levels (low, medium, high, very high), where the low and very high categories include the least and most developed countries, respectively. All studies that assessed aspects of the global cancer burden using this measure were reviewed. Results: Although the present cancer incidence burden is greater in higher Human Development Index countries, a greater proportion of the global mortality burden is observed in less developed countries, with a higher mean fatality rate in the latter countries. Further, the future cancer burden is expected to disproportionally affect less developed regions; in particular, it has been estimated that low and medium Human Development Index countries will experience a 100% and 81% increase in cancer incidence from 2008 to 2030, respectively. Disparities were also observed in risk factors and average health outcomes, such as a greater number of years of life lost prematurely and fewer cancer-related gains in life expectancy observed in lower versus higher Human Development Index settings. Conclusions: From a global perspective, there remain clear disparities in the cancer burden according to national Human Development Index scores. International efforts are needed to aid countries in social and economic transition in order to efficiently plan, implement and evaluate cancer control initiatives as a means to reduce the widening gap in cancer occurrence and survival worldwide.

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