scholarly journals Utilization of healthcare facilities and associated factors among rural elderly in Kanyakumari District, Tamil Nadu

2019 ◽  
Vol 6 (1) ◽  
pp. 1-8
Author(s):  
Dr. Priya Ravindra Panicker ◽  
◽  
Dr. Prem Jerusha J D. ◽  
Keyword(s):  
Associated Factors ◽  
Tamil Nadu ◽  
Rural Elderly ◽  
Healthcare Facilities ◽  
Utilization Of Healthcare

Screening practices for breast and cervical cancer and associated factors, among rural women in Vellore, Tamil Nadu

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
AnuMary Oommen ◽  
Shubhashis Saha ◽  
SMohana Priya ◽  
Anu Surender ◽  
RohanChacko Jacob ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Rural Women ◽  
Associated Factors ◽  
Tamil Nadu ◽  
Screening Practices ◽  
Breast And Cervical Cancer

Cognitive Impairment and Associated Factors in Rural Elderly in North China

2020 ◽  
Vol 77 (3) ◽  
pp. 1241-1253
Author(s):  
Jing Wang ◽  
Lily Dongxia Xiao ◽  
Kai Wang ◽  
Yan Luo ◽  
Xiaomei Li
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Rural Areas ◽  
Associated Factors ◽  
North China ◽  
Health Resources ◽  
Rural Elderly ◽  
Multivariate Logistic Regression Model ◽  
Structured Interviews ◽  
Income Source

Background: China has the largest population living with dementia globally and urban-rural differences are significant in prevalence, risk factors, and health resources. Epidemiologic studies on cognitive impairment in rural areas are limited in China and other low- and middle-income countries. Objective: This study investigated cognitive impairment and associated factors in rural elderly aged 65 years and over in China. Methods: In total, 1,250 participants from ten villages in North China were recruited from June to September, 2017. Face-to-face structured interviews were conducted for data collection. The interviews included socio-demographic information, health status, and psychological assessments. Cognitive function was assessed using the Chinese version of the Mini-Mental State Examination. A multivariate logistic regression model with backward method was employed to identify factors associated with cognitive impairment. Results: The positive rate of cognitive impairment among rural Chinese elderly aged 65 years and older was 42.9% (95% CI, 40.1–45.6). No significant differences were found in cognitive impairment by age or gender before the age of 75 years. Older age, lack of formal school education, reliance on the basic living allowance as the only income source, poor hearing and vision function, diabetes, and activities of daily living dependence were associated with higher rate of cognitive impairment, while tea consumption and fatty liver disease were associated with lower cognitive impairment rate. Conclusion: A very high percentage of rural elderly in China had cognitive impairment. Education programs and prevention interventions targeting modifiable risk factors among high-risk populations should be developed through collective efforts involving all stakeholders.

scholarly journals Location Efficiency of Healthcare Facilities in Ikot Ekpene Local Government of Akwa-Ibom State: The Role of Geographical Information System (GIS)

2013 ◽  
Vol 15 ◽  
pp. 22-30
Author(s):  
Elijah Akwarandu Njoku ◽  
Patrick Etim Akpan
Keyword(s):  
Health Care ◽  
Information System ◽  
Geographical Information System ◽  
Healthcare Facility ◽  
Facility Management ◽  
Geographical Information ◽  
Distributional Pattern ◽  
Healthcare Facilities ◽  
Utilization Of Healthcare ◽  
Health Care Centers

Given the effect of locational decisions on access and utilization of healthcare facilities in any society, the current study attempted an evaluation of the locational efficiency of available health facilities in Ikot Ekpene LGA with a view to ascertain the distributional pattern of the health care centers in the study area. It was discovered that health care centers in the area are randomly distributed but moderately concentrated in a few wards leaving more than half the area under-served. Using a WHO population/distance criterion of 1/4km, it is shown that only a small portion of the study area has effective access to healthcare facilities. Potential sites for location of additional health centers were suggested and the capability of Geographical Information System (GIS) in spatial planning and healthcare facility management is demonstrated.

scholarly journals COVID-19 in India: transmission dynamics, epidemiological characteristics, testing, recovery and effect of weather

2020 ◽  
Vol 148 ◽  
Author(s):  
Arnab Chanda
Keyword(s):  
Tamil Nadu ◽  
Doubling Time ◽  
Population Distribution ◽  
Transmission Dynamics ◽  
Disease Spread ◽  
Indian States ◽  
Healthcare Facilities ◽  
Study Results ◽  
Epidemiological Characteristics ◽  
Infection Spread

Abstract The spread of COVID-19 is recent in India, which has within 4 months caused over 190 000 infections, as of 1 June 2020, despite four stringent lockdowns. With the current rate of the disease transmission in India, which is home to over 1.35 billion people, the infection spread is predicted to be worse than the USA in the upcoming months. To date, there is a major lack of understanding of the transmission dynamics and epidemiological characteristics of the disease in India, inhibiting effective measures to control the pandemic. We collected all the available data of the individual patients, cases and a range of parameters such as population distribution, testing and healthcare facilities, and weather, across all Indian states till May 2020. Numerical analysis was conducted to determine the effect of each parameter on the COVID-19 situation in India. A significant amount of local transmission in India initiated with travellers returning from abroad. Maharashtra, Tamil Nadu and Delhi are currently the top three infected states in India with doubling time of 14.5 days. The average recovery rate across Indian states is 42%, with a mortality rate below 3%. The rest 55% are currently active cases. In total, 88% of the patients experienced symptoms of high fever, 68% suffered from dry cough and 7.1% patients were asymptomatic. In total, 66.8% patients were males, 73% were in the age group of 20–59 years and over 83% recovered in 11–25 days. Approximately 3.4 million people were tested between 1 April and 25 May 2020, out of which 4% were detected COVID-19-positive. Given the current doubling time of infections, several states may face a major shortage of public beds and healthcare facilities soon. Weather has minimal effect on the infection spread in most Indian states. The study results will help policymakers to predict the trends of the disease spread in the upcoming months and devise better control measures.

scholarly journals Regional Disparities of Facility-Based Childbirth in Indonesia

2021 ◽  
Vol 18 (21) ◽  
pp. 387
Author(s):  
Agung Dwi Laksono ◽  
Ratna Dwi Wulandari
Keyword(s):  
Binary Logistic Regression ◽  
Health Care Facilities ◽  
Regional Disparities ◽  
Demographic Health Survey ◽  
Healthcare Facilities ◽  
Care Facilities ◽  
Regression Test ◽  
Utilization Of Healthcare ◽  
Development Gap ◽  
Logistic Regression Test

Specifically, the characteristics of regions in Indonesia are unique. The situation is because the division of the region refers to the main islands. The study aims to analyze regional disparities of childbirth services in Indonesia. Meanwhile, the analysis in this study uses raw data from the 2017 Indonesian Demographic Health Survey (IDHS). The IDHS used stratification and multistage random sampling. The sample used in this study was 17,769 women aged 15 - 49 years with live births in the last 5 years. The study employed all region (7 regions) in the analysis, and analyzed data using the binary logistic regression test. The result shows national average of the utilization of healthcare facilities for delivery in Indonesia is 72.0 %. The 3 highest-ranking regions were in the Java-Bali region with 89.5 %, Sumatra region 73.5 %, and Kalimantan region 69.1 %. The study shows a significant disparity between all regions than the Papua region, except for Kalimantan and Sulawesi regions. Sumatra region has 1.475 times more possibilities to utilize healthcare facilities for delivery than the Papua region. The Java-Bali region has 3.010 times more potential to use healthcare facilities for delivery than the Papua region. The Nusa Tenggara region has 1.891 times more opportunities to use healthcare facilities for delivery than the Papua region. At the same time, the Maluku region has lower utilization than the Papua region. Maluku region has the possibility of 0.304 times utilizing healthcare facilities for delivery than the Papua region. The study concluded that there were significant disparities between regions in using healthcare facilities for delivery in Indonesia. HIGHLIGHTS Indonesia has made many efforts in shifting labor into health care facilities. However, this increase is still lacking, and in some cases, the community still feels that the health services received are not expected The characteristics of regions in Indonesia are unique. Economic and development movements between regions keep the development gap between areas continuing. Disparity as a result of this development also affects the accessibility of the community to health service facilities The study proved there were disparities between regions in using healthcare facilities for delivery in Indonesia GRAPHICAL ABSTRACT

scholarly journals Analysis of Socio-Economic Characteristics and Utilization of Healthcare Facilities in Owo Local Government Area of Ondo State, Nigeria

2017 ◽  
Vol 13 (23) ◽  
pp. 377
Author(s):  
Omotayo Ben Olugbamila ◽  
Samson Ajibola Adeyinka
Keyword(s):  
Local Government ◽  
Economic Status ◽  
Local Government Area ◽  
Systematic Sampling ◽  
Chi Square ◽  
Healthcare Facilities ◽  
Chi Square Test ◽  
Ondo State ◽  
Sectoral Development ◽  
Utilization Of Healthcare

This paper examines the socio-economic characteristics of residents and their utilization of available healthcare facilities in Owo local government area of Ondo State, Nigeria. The data utilized in the paper draws on systematic sampling of 368 health consumers in the study area. Findings revealed that socio-economic characteristics play a significant role in determining the frequency of visits to healthcare facilities, this is substantiated with the chi-square test result that revealed a significant relationship between marital status and frequency of visits to healthcare facilities with χ² = 29.175 and significant at p = 0.004 level, as well as income of households and the frequency of visits to healthcare facilities with χ² = 20.961 and significant at p = 0.007 levels. The paper therefore concluded that efforts should be put in place to improve the socio-economic status of individuals through multi-sectoral development activities such as micro-credit facilities and provision of employment opportunities which is believed will invariably improve their access and utilization of healthcare facilities.

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