Users Online: 586 Home Print this page Email this page Small font sizeDefault font sizeIncrease font size


Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
Year : 2018  |  Volume : 62  |  Issue : 2  |  Page : 75-81

Block-wise comprehensive health index in Gadchiroli: A tribal district in Maharashtra

Professor, Department of Community Medicine, Bharati Vidyapeeth Deemed University Medical College, Pune, Maharashtra, India

Correspondence Address:
Prakash Prabhakarrao Doke
Department of Community Medicine, Bharati Vidyapeeth Deemed University Medical College, Satara Road, Dhanakawadi, Pune - 411 043, Maharashtra
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijph.IJPH_247_16

Rights and Permissions

Background: The National Health Mission expects bottom-up approach for preparing Project Implementation Plan and also expects special attention toward tribal areas. Some district-level health information is available from national health surveys, but subdistrict-level information is mostly not available. Gadchiroli is the farthest district from the state capital. There are 12 blocks in the district. It is a notified tribal district having 8.61%–81.50% tribal population in different blocks and block-wise urbanization varies from 0.00% to 37.10%. Objectives: The objective was to assess community health status at block level in Gadchiroli district and then develop comprehensive health index for ranking the blocks. Methods: The author has used available secondary data sources including Census, Survey of Cause of Death scheme, health management information system, Directorate of Economics and Statistics, and Maharashtra Medical Council. Ten indicators were selected after discussion with public health specialists to evolve comprehensive health index. Blocks having best statistic in each indicator were given 100 marks and other blocks were given proportionate marks. Thus, the highest possible score for any block was 1000. Results: The range of block-wise score was from 424 to 781. The highest scoring block was Gadchiroli and was an outlier. The comprehensive score was having correlation with urbanization, r = 0.63 (95% confidence limits, 0.09–0.88). After principal component analysis, the extracted three components were responsible for most of the variations. Conclusions: Reasonably reliable and valid block-wise data are available to carry out community health assessment and develop comprehensive health index. The index is useful for comparison among blocks.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded587    
    Comments [Add]    

Recommend this journal