Untreated morbidity and treatment-seeking behaviour among the elderly in India: Analysis based on National Sample Survey 2004 and 2014.
Heckprobit
India
NSSO
Treatment-seeking
Untreated morbidity
Journal
SSM - population health
ISSN: 2352-8273
Titre abrégé: SSM Popul Health
Pays: England
ID NLM: 101678841
Informations de publication
Date de publication:
Apr 2020
Apr 2020
Historique:
received:
08
01
2020
revised:
05
02
2020
accepted:
06
02
2020
entrez:
8
4
2020
pubmed:
8
4
2020
medline:
8
4
2020
Statut:
epublish
Résumé
The changing demographic structure in India and worldwide accompanies with it a gamut of problems and opportunities. According to the Census of India, the proportion of elderly in the overall population rose from 5.6 per cent in 1961 to 8.6 per cent in 2011 and is expected to rise to 20 per cent in 2050. Considering the consequent growing challenges in healthcare the main aim of the study is to find essential determinants contributing to untreated morbidity among the elderly. Also, the paper examines treatment-seeking behaviour for infectious and chronic diseases among the elderly in India. Data from the 60th and 71st round of National Sample Survey Organization was used for the analysis. Relative differences were calculated along with logistic regression to study the objectives and the heckprobit model was used to carve out the treatment-seeking behaviour among the elderly in India. It was found that the overall decrease in relative decadal difference was 41% for untreated morbidity. In both the rounds, the elderly living below the poverty line had 42% and 50% more likelihood of untreated morbidities respectively in comparison to elderly not living below the poverty line. The study indicates that elderly who were living with a spouse in comparison to those living alone had less likelihood to have untreated morbidities. Also, elderly from rural areas and having lower levels of education had higher likelihood of untreated morbidity. Similar inequalities were observed in treatment-seeking behaviour as well, where it was found that elderly belonging to lower socio-economic status were less likely to seek treatment. Linking the results from the heckprobit model this study provides the evidence that social and economic factors play a significant role in affecting both untreated morbidity and treatment-seeking behaviour of elderly in India.
Identifiants
pubmed: 32258352
doi: 10.1016/j.ssmph.2020.100557
pii: S2352-8273(20)30012-4
pii: 100557
pmc: PMC7109628
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100557Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2020 Published by Elsevier Ltd.
Références
Health Policy Plan. 2006 Jul;21(4):289-301
pubmed: 16790454
Gerontologist. 2006 Jun;46(3):344-56
pubmed: 16731873
Bull World Health Organ. 2017 Nov 1;95(11):791-792
pubmed: 29147062
BMJ Glob Health. 2017 Jun 02;2(2):e000280
pubmed: 29242752
J Epidemiol Community Health. 2015 May;69(5):489-94
pubmed: 25576563
J Family Med Prim Care. 2013 Apr;2(2):188-93
pubmed: 24479077
Am Econ Rev. 2004 May 1;94(2):326-330
pubmed: 19305517
Soc Sci Med. 2008 May;66(9):1951-62
pubmed: 18313185
PLoS One. 2018 Jun 25;13(6):e0199598
pubmed: 29940025
BMC Health Serv Res. 2011 Jun 28;11:153
pubmed: 21711546
PLoS One. 2018 May 10;13(5):e0196106
pubmed: 29746481
BMC Geriatr. 2015 Oct 15;15:126
pubmed: 26470796
Health Policy Plan. 2017 Sep 1;32(7):969-979
pubmed: 28419286
Int J Environ Res Public Health. 2017 Jul 26;14(8):
pubmed: 28933772
J Dev Econ. 2007 Jul;83(2):256-279
pubmed: 18046465
Bull World Health Organ. 2016 Apr 1;94(4):276-85C
pubmed: 27034521
Int J Environ Res Public Health. 2018 Mar 06;15(3):
pubmed: 29509704
J Family Med Prim Care. 2017 Apr-Jun;6(2):345-350
pubmed: 29302545
Arch Intern Med. 2012 Jul 23;172(14):1084-5
pubmed: 22710997