A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Hospitalization & health expenditure in Odisha: Evidence from National Sample Survey (1995-2014). | LitMetric

Hospitalization & health expenditure in Odisha: Evidence from National Sample Survey (1995-2014).

Indian J Med Res

Department of Humanities and Social Sciences, National Institute of Technology, Rourkela, Odisha, India.

Published: July 2022

Background & Objectives: Financing healthcare services through out-of-pocket payments is common in India. Household impoverishments due to health expenditure can be daunting, especially among the economically vulnerable households. This study investigated hospitalization and patient's health expenditure in Odisha State in India.

Methods: The national sample survey data were used to assess hospitalization and patient's health expenditure over two time periods (1995 and 2014). Disease classification was made following International Classification of Diseases 10th revision (ICD-10). The hospitalization rate and health expenditure were estimated for infectious, cardiovascular, non-communicable, disability and other diseases. Andersen model was used to examine the determinants of healthcare expenditure.

Results: Findings of the study revealed that hospitalization in Odisha increased nearly three folds and health expenditure by more than two times between 1995 to 2014. While the hospitalization for other diseases remained consistently higher, health expenditure for disability was the highest and it increased three times within the last two decades. The socio-economic and demographic divides in the hospitalization rate and health expenditure were evident.

Interpretation & Conclusions: Our analysis indicated that predisposing factors such as age and marital status played an important role in hospitalization whereas, enabling factors likely determined the health expenditure. There is a need to recognize the unique vulnerabilities of older population, widowed and health financial mechanism for disability-related illness.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903382PMC
http://dx.doi.org/10.4103/ijmr.IJMR_412_19DOI Listing

Publication Analysis

Top Keywords

health expenditure
36
expenditure
9
health
9
hospitalization
8
expenditure odisha
8
national sample
8
sample survey
8
hospitalization patient's
8
patient's health
8
1995 2014
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!