Explanation of mortality rates with socio-economic indicators
Yükleniyor...
Dosyalar
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study aims to examine the relationship between death rates and socioeconomic variables and
to develop policy recommendations to reduce mortality rates. Therefore, the variables of maternal
mortality rate, crude mortality rate, and infant mortality rate are explained with real health expenditures
per capita, number of nurse midwives, total health expenditures, number of physicians, and number
of hospitals. The most recent data available between 2002 and 2019 are used in the article. Data are
taken from health statistics annually. While three different mortality rates are considered as dependent
variables in the study, five different variables indicating socioeconomic status are used as independent
variables. Since more than one dependent and independent variable is used, canonical correlation
analysis is preferred as the method. In the results of the analysis, it has been revealed that there is a high
relationship between maternal mortality rate, infant mortality rate, crude death rate, and the number
of hospitals, the number of nurses-midwives, the number of physicians, total health expenditures
and per capita health expenditures. According to this, it is important to increase health awareness,
increase the quality of health services in society, and facilitate access to health services. In addition, it is
recommended to increase the number of health workers, improve health literacy in society and increase
investments in the field of health.
Açıklama
Anahtar Kelimeler
Canonic Correlation Analysis, Mortality Rate, Socio-Economic Indicators, Statistical Analysis
Kaynak
AURUM Journal of Health Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
4
Sayı
3
Künye
Barun, M. N., Korkmaz, İ. (2022). Explanation of mortality rates with socio-economic indicators. AURUM Journal of Health Sciences, 4(3), 167-184.
