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
Introduction: Globally, one-third of current health expenditure had been out-of-pocket expenditure (OOPE). The health system financing of almost all low- and middle-income countries including India rely heavily on out-of-pocket (OOP) payments for health care. OOPE on health payments is particularly hard on any community, especially the poor leading to incomplete or even no treatment during their ill health. This study estimated OOPE among residents of a rural community in West Bengal and explored the associated factors with high OOP expenses.
Methods: A community-based cross-sectional study was conducted in a rural community in Singur, West Bengal from June 2019 to February 2020. The study was done among 398 villagers selected from 15 clusters or villages. Households were randomly selected in each village. All members of the selected households were interviewed. SPSS was used for data analysis both for descriptive and inferential statistics.
Results: Only 14.6% of morbid persons had catastrophic expenditure. The incidence of catastrophic expenditure was higher among those who opted for private practitioners and or ayurveda, yoga and naturopathy, unani, siddha, and homeopathy (AYUSH) facilities. There was zero catastrophic expenditure for the unqualified sector. There was an increasing trend of OOP payments among the lower socioeconomic groups. Again, low-income individuals had a higher share in cumulative expenditure (Gini coefficient of 0.35). Most of the participants (78.4%) had no health insurance coverage.
Conclusion: Promotion for higher utilization of public health facilities may reduce the burden of OOP expenses. Government health insurance schemes must be widened with the inclusion of coverage of outpatient services. Integrating AYUSH services in the public sector is another option to reduce OOP expenses.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521860 | PMC |
http://dx.doi.org/10.4103/jfmpc.jfmpc_2208_22 | DOI Listing |
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