Spatial and Temporal Analysis of Healthcare Facilities in Gorakhpur District, Uttar Pradesh (original) (raw)

2023, https://www.ijhsr.org/IJHSR\_Vol.13\_Issue.10\_Oct2023/IJHSR-Abstract14.html

Health is a state of being free from disease and injury but in a deeper sense, it does not remain the same. India has a long history of providing healthcare services to its people in the form of home remedies such as Ayurveda. For the development of rural areas of India, Indian committees had suggested three-tier health facilities namely community health care centers, primary health care centers, and sub-centers. The present study attempted to analyze the spatial and temporal availability of health facilities in all the blocks of the Gorakhpur district of Uttar Pradesh. The study has been attempted by collecting data from various secondary sources. There is adequate availability of health care centers in the district but there is inequality in their distribution at the block level. The district lacks 9 CHCs, 54 PHCs, and 127 SCs for better health conditions in the entire district. The district needs to increase the availability of healthcare infrastructure as this can also reduce the overburden of patients on the available healthcare centers.

Spatial distribution of public health care facilities inrural areas of Nalanda district, Bihar

National Geographical Journal of India, 2020

At this critical juncture of time when the whole world is facing a health care emergency due to the occurrence of (SARS-CoV-2) pandemic. It becomes necessary to critically evaluate public health care facilities and their availability to common people to tackle the ongoing crisis rationally. In this regard, this paper tries to study the spatial distribution of public health care facilities and their availability in rural areas of Nalanda district. Location quotient, Lorenz curve and Gini's coefcient have been worked out to nd unequal concentration, availability and distribution of public health care facilities across the study area. To show the concentration and distribution of health care facilities over space maps have been drawn on ArcGIS. MS Excel and Word have been used for showing the availability of health care facilities through graphical representation and for tabulation purposes. This paper concludes that community development blocks surroundingdistrict headquarter havea higher concentration and larger availability ofrural public health care facilities in comparison to peripheral community development blocks of the study area.

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Spatial Distribution of Health Centers: A Study of District Pulwama (Jammu and Kashmir)

https://www.ijhsr.org/IJHSR\_Vol.7\_Issue.11\_Nov2017/IJHSR\_Abstract.027.html, 2017

Background: Distribution of existing healthcare centers is an important aspect in healthcare and decision making. Based on GPS survey the spatial disparity of health centers were measures by applying Location quotient and Lorenz curve. Though the facilities are good enough to serve the population of the district, but while analyzing the spatial pattern of these facilities at medical block level, the results revealed that there is unequal distribution of both primary health centers as well as sub-centers. Therefore it is necessary to find out the nature of spatial conditions and the estimation of medical facilities needed for a given population. It is essential to conduct such study which will help the people as well as the planners to determine the medical needs which will in turn enhance the optimal utilization of resources.

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IJSR -INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH Spatial Depiction of Variability in Health Care Facilities and Health Achievements in Murshidabud District, West Bengal

2015

Aim: The present study aims to assess the extent of spatial variation in quality of Primary Healthcare facilities in Murshidabud District, West Bengal. Method: Using data from Office of Chief Medical Officer of Health, Govt. Of West Bengal, on availability of structural inputs for the year 2013-14 in Primary Healthcare Centres (PHCs) from 26 Blocks, an Overall Development Index (ODI) is constructed. ODI is a composite measure of the relative importance of all available structural inputs in PHCs. A spatial variation of ODI is then depicted in map to present the shortfall of existence of structural inputs across different blocks. Mean and Standard Deviation is used to compute the spatial variation in health achievements. Results: The result shows intra district variation in availability of facilities for each selected indicator. The Development Index varies from 0.18 in Beharampur to 0.67 in Suti-II. Infant and Maternal Death also shows variation in various blocks. Conclusion: Different Blocks are performing differently in Murshidabud with respect to both availability of services and manpower and also in health achievements. Detection of blocks with low quality of primary healthcare facilities will help in effective interventions.

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The Distribution Pattern and Existing Disparities in Public Health Care Centres in Rudraprayag District of Uttarakhand, India

https://www.ijhsr.org/IJHSR\_Vol.11\_Issue.1\_Jan2021/IJHSR\_Abstract.012.html, 2021

Distribution pattern of existing health centre is an important aspect of health care delivery system. In mountainous region specifically in developing countries, it also influence the decision making process of individuals at times of need of such facilities. The present study aims to analyse the spatial distribution pattern and disparity of health care centres in Rudraprayag district of Uttarakhand by applying statistical techniques such as Location Quotient, Lorenz Curve and Gini Index. Though the health care facilities shows satisfactory situation in case of distribution pattern of public health care centres at district level, but while analysing these facilities at block level, the results reveals that there is significant inequality in the distribution pattern of both Primary Health Centres as well as Sub-Centres. The study is able to provide help to people and policy makers to estimate the health care facility needs and mark the areas facing comparatively high population pressure in terms of ratio of health centres to population.

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Regional Disparities of Health Care Infrastructure in Koch Bihar District, West Bengal

Research Journal of Humanities and Social Sciences, 2018

Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity (WHO). In West Bengal, the Koch Bihar district administration considers health sector as one of the core sectors for development. The important health indicators of the people of the district are still not at par with that of the national average and it is much below compare to many districts of our State itself. As for the health infrastructure in the district there is one district hospital and four sub-divisional hospitals with 120 beds on the average in each hospital. There is one infectious disease cum TB hospital and a mental hospital. At the block level have 12 BPHC with average 37 nos. of PHC/ Charitable dispensaries. The Human Development report of West Bengal comprises a mixed of health index in the districts. This paper highlights healthcare facilities, development and problems of public health situation in Koch Bihar district using geographic information system (GIS).The paper also calculates the health infrastructure index (HII) and health inequality index of health indicators with respect to health infrastructure at the block level of the district. A health infrastructure index is developed using health inputs like number of hospitals and dispensaries, number of beds and number of doctors in government hospitals.

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Spatial Pattern of Health and Health Care Facilities in District Anantnag of South Kashmir (J&K, India) -A Geo Medical Analysis

https://www.ijhsr.org/IJHSR\_Vol.7\_Issue.8\_Aug2017/IJHSR\_Abstract.054.html, 2017

The main objective of this paper is to evaluate the spatial pattern of health and health care facilities in district Anantnag. The study was carried out across five altitudinal zones among different medical blocks in GIS environment. Both primary and secondary data was employed. Distribution and intensity was shown by using Kendal's ranking coefficient method. The results of the study show greater variation in the distribution of health care amenities and intensity of diseases across different altitudinal zones. The impact of this regional disparity was reflected in the intensity of diseases which were found corresponding with the availability of health care facilities. Change in the scenario can be brought by snuff out the regional disparities in the study area.

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Spatial Pattern of Health Care Facilities in District Leh , Ladakh

2015

The main aim of the paper is to examine and explain the spatial pattern of distribution of health facilities in Leh district and its different blocks. Data were sourced from the chief medical officer office Leh. The study showed a progressive trend of development of healthcare facilities from 2002 to 2011 in blocks as well as in main town Leh. Among the various health care service PHCs, family welfare centres and medical aid centres were found dominant in all blocks. The ratio of doctors were found very less as compared to compounders in all health centres of all blocks of Leh. In case of treatment major percentage were carried out in outdoors at district as well as block sub district health centres. While major operation facility was done in district hospital Leh (98%) and rest 2 % were operated in sub-district hospital Nubra block. The study concludes that the most striking feature of the distribution of health care facilities in the Leh is the marked concentration of state sector...

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AN ANALYSIS OF HEALTH CARE FACILITY SYSTEMS IN PURBA AND PASCHIM BARDHAMAN DISTRICTS, WEST BENGAL, INDIA

2020

Human health has been globally considered as one of the key indicators of Human Development. The general health condition of the people of an area is indicative of the quality of the health care facilities available in that area. The present study strives to analyse different dimensions of health care facilities to find out the status of health care system of the Purba and Paschim Bardhaman Districts of West Bengal, India. To do so, Health Care Facility Index (HCFI) has been measured to appraise the overall health care condition of these two districts. The Paschim Bardhaman District has revealed comparatively better average HCFI value (0.34) than the Purba Bardhaman District (0.13).

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