Geospatial network analysis for healthcare facilities accessibility in semi-urban areas

2018 ◽  
Author(s):  
Ilham Abd Jalil ◽  
Abdul Rauf Abdul Rasam ◽  
Nor Aizam Adnan ◽  
Noraain Mohamed Saraf ◽  
Ahmad Norhisyam Idris
Keyword(s):  
Network Analysis ◽  
Urban Areas ◽  
Healthcare Facilities

scholarly journals Smart and Regenerative Urban Growth: A Literature Network Analysis

2020 ◽  
Vol 17 (7) ◽  
pp. 2463 ◽  
Author(s):  
Angeliki Peponi ◽  
Paulo Morgado
Keyword(s):  
Network Analysis ◽  
Urban Growth ◽  
Environmental Sustainability ◽  
Urban Areas ◽  
Negative Impact ◽  
Interdisciplinary Approach ◽  
Sustainable City ◽  
Diverse Range ◽  
Planning And Design ◽  
Urban Planning And Design

“Smart city”, “sustainable city”, “ubiquitous city”, “smart sustainable city”, “eco-city”, “regenerative city” are fuzzy concepts; they are established to mitigate the negative impact on urban growth while achieving economic, social, and environmental sustainability. This study presents the result of the literature network analysis exploring the state of the art in the concepts of smart and regenerative urban growth under urban metabolism framework. Heat-maps of impact citations, cutting-edge research on the topic, tip-top ideas, concepts, and theories are highlighted and revealed through VOSviewer bibliometrics based on a selection of 1686 documents acquired from Web of Science, for a timespan between 2010 and 2019. This study discloses that urban growth is a complex phenomenon that covers social, economic, and environmental aspects, and the overlaps between them, leading to a diverse range of concepts on urban development. In regards to our concepts of interest, smart, and regenerative urban growth, we see that there is an absence of conceptual contiguity since both concepts have been approached on an individual basis. This fact unveils the need to adopt a more holistic and interdisciplinary approach to urban planning and design, integrating these concepts to improve the quality of life and public health in urban areas.

scholarly journals Ecological network analysis on intra-city metabolism of functional urban areas in England and Wales

2018 ◽  
Vol 138 ◽  
pp. 172-182 ◽  
Author(s):  
Ling Min Tan ◽  
Hadi Arbabi ◽  
Qianqian Li ◽  
Yulan Sheng ◽  
Danielle Densley Tingley ◽  
...  
Keyword(s):  
Network Analysis ◽  
Urban Areas ◽  
Ecological Network ◽  
England And Wales ◽  
Ecological Network Analysis

scholarly journals ANALYSIS OF TOURIST TRAVEL PATTERNS TOWARD HEALTH CARE FACILITIES

2018 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Nida Hanifah ◽  
Marta Nilasari Catur Pujianingsih ◽  
Dea Handika Pratiwi ◽  
Linta Alfi Fahmi ◽  
Fathurohim Anhari ◽  
...  
Keyword(s):  
Health Care ◽  
Network Analysis ◽  
Health Service ◽  
Health Sector ◽  
Route Planning ◽  
Health Care Facilities ◽  
Travel Patterns ◽  
Service Facility ◽  
Healthcare Facilities ◽  
Care Facilities

One of the sectors that are closely related and reasonably determining for the growth and development of the tourism sector is the health sector. The aim of this research  was to a) know the affordability of health care facilities from tourism Prambanan and Plaosan Temple,  b) to know the travel patterns of tourists headed for healthcare facilities. This research uses qualitative descriptive method by using data collection observation techniques, documentation, and data analysis using network analysis. The network analysis method that used is the closest facility. The results of this research show that a) the affordability of the nearest health service facility from the Plaosan Temple object is Kebondalem Lor Puskesmas which is traveled by 1.7 km distance and takes about 4 minutes from the location of Plaosan Temple, while the closest health service facility from the Prambanan Temple is Prambanan Puskesmas which is taken with distance of 5.3 km and travel time 14 minutes from location of Prambanan Temple. to be known travelers can use private vehicles at tourism Plaosan Temple, because the attractions have a radius of 1.7 km. While on the tourist object of tourism Prambanan Temple can not use private vehicle because the mileage exceeds 3 km, and b) The travel pattern of tourists to health care facilities is categorized good, because the tourists can access health services with the nearest route and adequate facilities. Keywords: Travel Patterns, Health Facilities, Network Analysis   ReferencesAnwar, A. (2010). Introduction to Health Administration.Jakarta: Binarupa Aksara.Groenou, M. V., & Tilburg, T. V. (1975). Network Anaysis. Vrije Universitet, Amsterdam, The Netherland.Kuntarto, A., & Purwanto, T. H. (2012). Use of Geographic Information Network Analysis System for Route Planning Tourists in Sleman. Journal of The Earth Indonesia of Vol 1 Number 2, 141.Laksono, A. D., & dkk. (2016). The accessibility of health service in Indonesia. Yogyakarta: KANISIUS PT.Law number. 36 Year 2009 About HealthLaw number. 47 Year 2016 About Health Facilities.Moeleong, L. (2002). Qualitative Research Methods. Bandung: Teens Rosdakarya.Muta'ali, L. (2013). Regional and City Spatial Planning (Tinjauan Normatif-Teknis). Yogyakarta: Badan Penerbit Fakultas Geografi (BPFG) Gadjah Mada University.Narsid, S. (1988). Development Geography. Jakarta: Space.O.Z, T. (1997). Transport Planning and Modeling. Bandung: Institut Teknologi Bandung.  

scholarly journals Profil Distribusi Apotek di Kabupaten Banyumas berdasarkan Sistem Informasi Geografi dan Korelasinya dengan Jumlah Kunjungan dan Resep Tahun 2019

2021 ◽  
Vol 11 (2) ◽  
pp. 142-155
Author(s):  
Abdul Manan ◽  
Pri Iswati Utami ◽  
Agus Siswanto
Keyword(s):  
Information System ◽  
Distribution Pattern ◽  
Urban Areas ◽  
Service Providers ◽  
Average Distance ◽  
Gis Analysis ◽  
Healthcare Facilities ◽  
Central Java ◽  
Arc Gis ◽  
Density Population

The distribution of pharmacies in Indonesia is still becoming a problem. Pharmacies are mostly available around healthcare facilities such as hospitals, service providers, trade centers, transportation facilities, and main roads. The study aims to describe the distribution profile of pharmacies based on Geographic Information System (GIS) analysis and to study the relation between pharmacy distribution profiles with the number of consumer visits and prescriptions. The study is conducted in 27 sub-districts in Banyumas Regency, Central Java using Arc Gis 3.10.2 Software. Pharmacy profile, the number of consumer visits, and prescriptions at the pharmacy are obtained by distributing research questionnaires to pharmacists. The results showed that the distribution of pharmacies in the Banyumas Regency was still dominant in urban areas, which reached 55%. The average distance of pharmacies was 2.34 km. The research results on the distribution pattern of pharmacies in 27 sub-districts showed that in 3 districts (11.1%) were grouped in certain areas, in 24 other districts (88.9%), the pharmacies' distribution had a spread distribution pattern. The conclusion of the research that the distribution of pharmacies in the Banyumas Regency based on GIS visualization was still dominant in urban areas and especially in sub-districts around the capital of Banyumas Regency, Purwokerto. Based on the study, there was a relation between the average distance of pharmacies and the number of healthcare facilities on consumer visits. There was a relation between pharmacy density, population density, and the number of healthcare facilities with the number of prescriptions.

scholarly journals Drones Optimized Therapy System (DrOTS): Use of Drones for Tuberculosis Diagnosis in Nepal

2019 ◽  
pp. 14
Author(s):  
Uttam Pudasaini
Keyword(s):  
Public Health ◽  
Primary Healthcare ◽  
Urban Areas ◽  
Access To Health Care ◽  
Health Workers ◽  
Healthcare Access ◽  
Health Care Facilities ◽  
Health Centers ◽  
Diagnostic Tools ◽  
Healthcare Facilities

Over 50% of the total Nepalese population lives in hilly and mountainous areas with extremely poor transportation and access to health care facilities. With advanced health centers concentrated only in urban areas, and diagnostic laboratories not being present in most primary healthcare facilities, majority of people are forced to have to walk by foot, in an average 6-8 hours, to access proper healthcare facilities. Drone Optimized Therapy System, (DrOTS) aims to improve access to healthcare access in rural villages of Nepal. The pilot phase currently involved improving the accessibility of Tuberculosis diagnostic tests by linking communit y health workers (CHWs) with state-of-the-art diagnostic tools (GeneXpert) via drones in two municipalities of Pyuthan district, Nepal. The drones fly from central Hospitals to remote healthcare centers and bring back sputum samples for diagnosis. The purpose of this project is to assist the Ministry of Health and Population (MoHP) and National Tuberculosis Center (NTC) by generating the data necessary to assess the suitability of the drones-based services for nationwide expansion. The aerial distance between any two points being lesser than the actual road distance, drone technology has come out as a very popular tool in transporting medical samples/medicines between health centers. Drones can be used as crucial tools to connect primary healthcare facilities to hospitals by delivering patient information such as blood, urine, sputum, stool etc. samples required for diagnosis from primary facilities to hospitals, and medicines from hospitals to patients in nearby rural locations for treatment. The project team consists of multisector experts; Public Health- Birat Nepal Medical Trust (BNMT), Drones & Tech - WeRobotics, Nepal Flying Labs & DroNepal, Research: The Liverpool School of Tropical Medicine, Govt. stakeholders: MoHP Nepal, the National TB Center and the District Public Health Office (DPHO Pyuthan) is supported by Stony Brook University and the Simons Foundation.International Journal of Human and Health Sciences Supplementary Issue: 2019 Page: 14

scholarly journals Access to Public Healthcare Services in Urban Areas in Nigeria: The Influence of Demographic and Socioeconomic Characteristics of the Urban Population

2021 ◽  
pp. 1-13
Author(s):  
Abubakar Abdullahi ◽  
Nalika Gunawardena
Keyword(s):  
Urban Areas ◽  
Urban Population ◽  
Economic Status ◽  
Composite Index ◽  
Healthcare Services ◽  
Access To Healthcare ◽  
Public Healthcare ◽  
Chi Square ◽  
Significance Level ◽  
Healthcare Facilities

Background: Ensuring access to healthcare facilities is a high priority need in developing countries. This research aimed to determine the influence of socio-demographic and economic characteristics of the urban population in Nigeria to access to public healthcare facilities. Methods: We conducted a community-based study in 400 households across the three urban areas of Gombe state, Nigeria. Access to healthcare facilities was quantified in a composite index which considers availability, accessibility and affordability. The head of families was interviewed for information related to access and for the socio-demographic and economic status of the residences. The influence of socio-demographic and economic characteristics was determined using a chi-square test with a significance level of <0.05. Results: Most of the population interviewed within the selected urban areas had good access (84%) to public healthcare facilities. Socio-demographic and economic characteristics of household representatives such as age (p = 0.02), religious status (p = 0.00), level of education (p =0 .00), employment (p = 0.00) and possession of healthcare insurance (p = 0.00) were found to significantly influence access to healthcare facilities in urban areas. Conclusion:  Access to public healthcare facilities within the urban areas was good and the study revealed some modifiable socio-demographic and economic factors that influence access. We recommend the intervention to address the factors to further improve access to public healthcare facilities and to achieve universal healthcare coverage.

scholarly journals Travel time to health facilities as a marker of geographical accessibility across heterogeneous land coverage in Peru

2019 ◽  
Author(s):  
Gabriel Carrasco-Escobar ◽  
Edgar Manrique ◽  
Kelly Tello-Lizarraga ◽  
J. Jaime Miranda
Keyword(s):  
Travel Time ◽  
Health Facility ◽  
Urban Areas ◽  
Health Facilities ◽  
Middle Income ◽  
Healthcare Facilities ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Tertiary Healthcare ◽  
Geographical Accessibility

ABSTRACTThe geographical accessibility to health facilities is conditioned by the topography and environmental conditions overlapped with different transport facilities between rural and urban areas. To better estimate the travel time to the most proximate health facility infrastructure and determine the differences across heterogeneous land coverage types, this study explored the use of a novel cloud-based geospatial modeling approach and use as a case study the unique geographical and ecological diversity in the Peruvian territory. Geospatial data of 145,134 cities and villages and 8,067 health facilities in Peru were gathered with land coverage types, roads infrastructure, navigable river networks, and digital elevation data to produce high-resolution (30 m) estimates of travel time to the most proximate health facility across the country. This study estimated important variations in travel time between urban and rural settings across the 16 major land coverage types in Peru, that in turn, overlaps with socio-economic profiles of the villages. The median travel time to primary, secondary, and tertiary healthcare facilities was 1.9, 2.3, and 2.2 folds higher in rural than urban settings, respectively. Also, higher travel time values were observed in areas with a high proportion of the population with unsatisfied basic needs. In so doing, this study provides a new methodology to estimate travel time to health facilities as a tool to enhance the understanding and characterization of the profiles of accessibility to health facilities in low- and middle-income countries (LMIC), calling for a service delivery redesign to maximize high quality of care.

scholarly journals Bypassing primary care facilities: health-seeking behavior of middle age and older adults in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Changle Li ◽  
Zhuo Chen ◽  
M. Mahmud Khan
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Health System ◽  
Rural Areas ◽  
Urban Areas ◽  
Chinese Patients ◽  
Care Needs ◽  
Healthcare Facilities ◽  
Primary Health ◽  
Care Facilities

Abstract Background With economic development, aging of the population, improved insurance coverage, and the absence of a formal referral system, bypassing primary healthcare facilities appear to have become more common. Chinese patients tend to visit the secondary or tertiary healthcare facilities directly leading to overcrowding at the higher-level facilities. This study attempts to analyze the factors associated with bypassing primary care facilities among patients of age 45 years or older in China. Methods Random effects logistic models were used to examine bypassing of primary health facilities among rural-urban patients. Data from 2011 to 2015 waves of the China Health and Retirement Longitudinal Study were used. Results Two in five older patients in China bypass primary health centers (PHC) to access care from higher-tier facilities. Urban patients were nearly twice as likely as rural patients to bypass PHC. Regardless of rural-urban residence, our analysis found that a longer travel time to primary facilities compared to higher-tier facilities increases the likelihood of bypassing. Patients with higher educational attainment were more likely to bypass PHCs. In rural areas, patients who reported their health as poor or those who experienced a recent hospitalization had a higher probability of bypassing PHC. In urban areas, older adults (age 65 years or older) were more likely to bypass PHC than the younger group. Patients with chronic conditions like diabetes also had a higher probability of bypassing. Conclusions The findings indicate the importance of strengthening the PHCs in China to improve the efficiency and effectiveness of the health system. Significantly lower out-of-pocket costs at the PHC compared to costs at the higher tiers had little or no impact on increasing the likelihood of utilizing the PHCs. Improving service quality, providing comprehensive person-centered care, focusing on family health care needs, and providing critical preventive services will help increase utilization of PHCs as well as the effectiveness and efficiency of the health system.

scholarly journals Primary healthcare centers engagement in tuberculosis treatment in Ukraine

2019 ◽  
Vol 13 (07.1) ◽  
pp. 83S-88S
Author(s):  
Evgenia Geliukh ◽  
Dilyara Nabirova ◽  
Karapet Davtyan ◽  
Svetlana Yesypenko ◽  
Rony Zachariah
Keyword(s):  
Treatment Outcomes ◽  
Primary Healthcare ◽  
Rural Areas ◽  
Urban Areas ◽  
Healthcare Facilities ◽  
Adjusted Risk ◽  
Tb Treatment ◽  
Adjusted Risk Ratio ◽  
Binomial Regression ◽  
Primary Healthcare Centers

Introduction: We assessed the influence of a result-based financing (RBF) model, which included incentives for Primary Healthcare facilities on TB treatment outcomes. Methodology: We compared TB patients > 17 years and their treatment outcomes among those who did and did not benefit from RBF-model in 14 districts of Odeska oblast, Ukraine in 2017. Log-binomial regression was used to examine factors associated with being included in RBF-model. Results: Of 2,269 reported TB patients, 308 (14%) were included in RBF-model. Most patients in the RBF-model were from rural areas 229 (74%), unemployed 218 (71%), and HIV-infected 131 (43%). Individuals from urban areas (Adjusted risk ratio, ARR =0.9, 95% Confidence Interval, CI:0.89-0.94), having drug-resistant TB (ARR = 0.3, 95% CI: 0.18-0.45), and relapse TB (ARR = 0.6, 95% CI:0.40-0.83) were less likely to be included in RBF-model. Favorable outcomes in new/relapse cases with RBF-model was 89% compared with 41% (p < 0.001) without RBF. Similarly, for other retreatment this was 83% versus 40% (p < 0.001). Failures in the no-RBF group was 29% for new and relapse cases while for other retreatment cases, it was 26% (significantly higher than in the RBF-model). Conclusion: RBF-model is effective in achieving high levels of favorable TB treatment outcomes. Almost three-in-ten TB patients in non-RBF category failed TB treatment despite having drug-susceptible TB. Efforts are now needed to include it within ongoing public health reforms and assess the feasibility of scaling-up this intervention through implementation research and dedicated funding.

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