Healthcare in Uttar Pradesh: Special Reference to Comparative Muslim Majority Districts
Ashish KS* and Ayesha K
Department of Economics, Kamala Nehru College, University of Delhi, India
- Corresponding Author:
- Ashish KS
Department of Economics
Kamala Nehru College
University of Delhi, India
E-mail: [email protected]
Received date: February 02, 2016; Accepted date: April 14, 2016; Published date: April 18, 2016
Citation: Ashish KS, Ayesha K (2016) Healthcare in Uttar Pradesh: Special Reference to Comparative Muslim Majority Districts. J Glob Econ 4:188. doi:10.4172/2375- 4389.1000188
Copyright: © 2016 Ashish KS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This paper seeks to analyse the healthcare climate within Uttar Pradesh, with special emphasis on the top 5 comparative Muslim majority districts (as % of District population) for the same. It does so by comparing the collective performance of the identified States with the state averages for Uttar Pradesh for a limited number of healthcare indices via data available from the Annual Health Survey 2011. The health indices being covered include treatment available for population diagnosed with acute illness, regularity of treatment for diagnosed chronically ill populace, extent of Ante Natal care, parameters of delivery care, facilities in terms of Post Natal care, coverage of relevant female population under JSY - Janani Suraksha Yojana, differentials among birth registration, and finally, mortality rates for infants and children. The primary focus of the paper is the situation of women and children - the sections of population that are often the last to receive healthcare in India’s deeply patriarchal society. The state of Uttar Pradesh has been chosen for a number of reasons - primary among which are the sizeable population, variation of indices across the State in terms of averages, and the availability of reliable data for a secular analysis.