Morbidity and utilisation of healthcare services among people with cardiometabolic disease in three diverse regions of rural India

被引:0
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作者
Bin Zaman, Sojib [1 ]
Evans, Roger G. [2 ,3 ,4 ]
Chow, Clara K. [5 ,6 ]
Joshi, Rohina [5 ,7 ,8 ]
Thankappan, Kavumpurathu R. [9 ]
Oldenburg, Brian [10 ]
Mahal, Ajay S. [11 ]
Kalyanram, Kartik [12 ]
Kartik, Kamakshi [12 ]
Riddell, Michaela A. [1 ]
Suresh, Oduru [1 ,12 ]
Thomas, Nihal [13 ]
Mini, Gomathyamma K. [14 ]
Maulik, Pallab K. [5 ,8 ]
Srikanth, Velandai K. [1 ,15 ]
Thrift, Amanda G. [1 ]
机构
[1] Monash Univ, Monash Hlth, Sch Clin Sci, Dept Med, Melbourne, Vic, Australia
[2] Monash Univ, Biomed Discovery Inst, Cardiovasc Dis Program, Melbourne, Vic, Australia
[3] Monash Univ, Dept Physiol, Melbourne, Vic, Australia
[4] Univ Melbourne, Florey Inst Neurosci & Mental Hlth, Preclin Crit Care Unit, Melbourne, Vic, Australia
[5] Univ New South Wales, George Inst Global Hlth, Sydney, NSW, Australia
[6] Westmead Hosp, Dept Cardiol, Sydney, NSW, Australia
[7] Univ Sydney, Sydney Med Sch, Sydney, NSW, Australia
[8] George Inst Global Hlth, New Delhi, India
[9] Cent Univ Kerala, Publ Hlth & Community Med, Kasaragod, India
[10] Baker Heart & Diabet Inst, Noncommunicable Dis & Implementat Sci, Melbourne, Vic, Australia
[11] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Nossal Inst Global Hlth, Melbourne, Vic, Australia
[12] Rishi Valley Rural Hlth Ctr, Rishi Valley, India
[13] Christian Med Coll & Hosp, Dept Endocrinol Diabet & Metab, Vellore, Tamil Nadu, India
[14] Ananthapuri Hosp & Res Inst, Global Inst Publ Hlth, Trivandrum, Kerala, India
[15] Monash Univ, Cent Clin Sch, Peninsula Clin Sch, Frankston, Australia
基金
英国医学研究理事会;
关键词
Cardiometabolic diseases; healthcare disparities; health insurance; private facilities; India; POPULATION; PREVALENCE; INSURANCE; KNOWLEDGE; IMPACT;
D O I
10.1177/17423953231153550
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objectives To assess the prevalence and determinants of cardiometabolic disease (CMD), and the factors associated with healthcare utilisation, among people with CMD. Methods Using a cross-sectional design, 11,657 participants were recruited from randomly selected villages in 3 regions located in Kerala and Andhra Pradesh from 2014 to 2016. Multivariable logistic regression was used to identify factors independently associated with CMD and healthcare utilisation (public or private). Results Thirty-four per cent (n = 3629) of participants reported having >= 1 CMD, including hypertension (21.6%), diabetes (11.6%), heart disease (5.0%) or chronic kidney disease (CKD) (1.6%). The prevalence of CMD was progressively greater in regions of greater socio-economic position (SEP), ranging from 19.1% to 40.9%. Among those with CMD 41% had sought any medical advice in the last month, with only 19% utilising public health facilities. Among people with CMD, those with health insurance utilised more healthcare (age-gender adjusted odds ratio (AOR) (95% confidence interval (CI)): 1.31 (1.13, 1.51)) as did those who reported accessing private rather than public health services (1.43 (1.23, 1.66)). Discussion The prevalence of CMD is high in these regions of rural India and is positively associated with indices of SEP. The utilisation of outpatient health services, particularly public services, among those with CMD is low.
引用
收藏
页码:873 / 888
页数:16
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