Equity in distribution of public subsidy for noncommunicable diseases among the elderly in India: an application of benefit incidence analysis.
Aged
Ambulatory Care
/ economics
Health Equity
Health Expenditures
/ statistics & numerical data
Hospitalization
/ statistics & numerical data
Humans
Incidence
India
/ epidemiology
Noncommunicable Diseases
/ economics
Public Assistance
/ statistics & numerical data
Public Sector
/ economics
Rural Population
/ statistics & numerical data
Socioeconomic Factors
Universal Health Insurance
Benefit incidence analysis
Elderly in India
Health equity
Non-communicable diseases
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
26 Dec 2019
26 Dec 2019
Historique:
received:
09
07
2019
accepted:
15
12
2019
entrez:
28
12
2019
pubmed:
28
12
2019
medline:
29
2
2020
Statut:
epublish
Résumé
Rapid ageing of the population and increasing non-communicable diseases (NCDs) among the elderly is one of the major public health challenges in India. To achieve the Universal Health Coverage, ever-growing elderly population should have access to needed healthcare, and they should not face any affordability related challenge. As most of the elderly suffers from NCDs and achieving health-equity is a priority, this paper aims to - study the utilization pattern of healthcare services for treatment of NCDs among the elderly; estimate the burden of out-of-pocket expenditure for the treatment of NCDs among the elderly and analyze the extent of equity in distribution of public subsidy for the NCDs among the elderly. National Sample Survey data (71st round) has been used for the study. Exploratory data analysis and benefit incidence analysis have been applied to estimate the utilization, out-of-pocket expenditure and distribution of public subsidy among economic classes. Concentration curves and indices are also estimated. Results show that public-sector hospitalization for NCDs among the elderly has a pro-rich trend in rural India. However, in urban sector, for both inpatient and outpatient care the poorest class has substantial share in utilization of public facilities. Same result is also observed for rural outpatient care. Analysis shows that out-of-pocket expenditure is very high for both medicine and medical care even in public facilities for all economic groups. It is also observed that medicine has the highest share in total medical expenses during treatment of NCDs among the elderly in both the region. Benefit incidence analysis shows that the public subsidy has a pro-rich distribution for inpatient care treatment in both the sectors. In case of outpatient care, subsidy share is the maximum among the richest in the urban sector and in the rural region the poorest class gets the maximum subsidy benefit. It is evident that a substantial share of the public subsidies is still going to the richer sections for the treatment of NCDs among the elderly. Evidences also suggest that procuring medicines and targeted policies for the elderly are needed to improve utilization and equity in the public healthcare system.
Sections du résumé
BACKGROUND
BACKGROUND
Rapid ageing of the population and increasing non-communicable diseases (NCDs) among the elderly is one of the major public health challenges in India. To achieve the Universal Health Coverage, ever-growing elderly population should have access to needed healthcare, and they should not face any affordability related challenge. As most of the elderly suffers from NCDs and achieving health-equity is a priority, this paper aims to - study the utilization pattern of healthcare services for treatment of NCDs among the elderly; estimate the burden of out-of-pocket expenditure for the treatment of NCDs among the elderly and analyze the extent of equity in distribution of public subsidy for the NCDs among the elderly.
METHODS
METHODS
National Sample Survey data (71st round) has been used for the study. Exploratory data analysis and benefit incidence analysis have been applied to estimate the utilization, out-of-pocket expenditure and distribution of public subsidy among economic classes. Concentration curves and indices are also estimated.
RESULTS
RESULTS
Results show that public-sector hospitalization for NCDs among the elderly has a pro-rich trend in rural India. However, in urban sector, for both inpatient and outpatient care the poorest class has substantial share in utilization of public facilities. Same result is also observed for rural outpatient care. Analysis shows that out-of-pocket expenditure is very high for both medicine and medical care even in public facilities for all economic groups. It is also observed that medicine has the highest share in total medical expenses during treatment of NCDs among the elderly in both the region. Benefit incidence analysis shows that the public subsidy has a pro-rich distribution for inpatient care treatment in both the sectors. In case of outpatient care, subsidy share is the maximum among the richest in the urban sector and in the rural region the poorest class gets the maximum subsidy benefit.
CONCLUSIONS
CONCLUSIONS
It is evident that a substantial share of the public subsidies is still going to the richer sections for the treatment of NCDs among the elderly. Evidences also suggest that procuring medicines and targeted policies for the elderly are needed to improve utilization and equity in the public healthcare system.
Identifiants
pubmed: 31878911
doi: 10.1186/s12889-019-8089-y
pii: 10.1186/s12889-019-8089-y
pmc: PMC6933745
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1735Références
PLoS One. 2018 Feb 26;13(2):e0193320
pubmed: 29481563
Global Health. 2012 Apr 25;8:9
pubmed: 22533895
PLoS One. 2014 Apr 09;9(4):e94295
pubmed: 24718291
East Mediterr Health J. 2010 May;16(5):467-73
pubmed: 20799544
Indian J Community Med. 2011 Dec;36(Suppl 1):S13-22
pubmed: 22628905
Lancet. 2011 Feb 5;377(9764):505-15
pubmed: 21227492
BMC Health Serv Res. 2018 Nov 3;18(1):830
pubmed: 30390701
Int J Health Policy Manag. 2014 Dec 22;4(1):29-38
pubmed: 25584350
BMJ Open. 2018 Jan 24;8(1):e016990
pubmed: 29371266
Health Policy Plan. 2011 Mar;26(2):174-82
pubmed: 20688764
Milbank Mem Fund Q. 1971 Oct;49(4):509-38
pubmed: 5155251
Public Health. 2016 Dec;141:32-41
pubmed: 27932013
Int J Environ Res Public Health. 2018 Mar 06;15(3):
pubmed: 29509704
PLoS One. 2013 Aug 12;8(8):e71853
pubmed: 23951258
J Korean Med Sci. 2015 Nov;30 Suppl 2:S155-66
pubmed: 26617450
Health Econ. 2012 Apr;21(4):351-66
pubmed: 21394820
Int J Equity Health. 2019 Jan 21;18(1):13
pubmed: 30665419
Int J Environ Res Public Health. 2010 Feb;7(2):675-97
pubmed: 20616997
Stata J. 2016 1st Quarter;16(1):112-138
pubmed: 27053927