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

Author:

Zaman Sojib Bin1ORCID,Evans Roger G23ORCID,Chow Clara K45,Joshi Rohina467,Thankappan Kavumpurathu R8ORCID,Oldenburg Brian9,Mahal Ajay S10,Kalyanram Kartik11,Kartik Kamakshi11,Riddell Michaela A1,Suresh Oduru111,Thomas Nihal12,Mini Gomathyamma K13ORCID,Maulik Pallab K47,Srikanth Velandai K114,Thrift Amanda G1ORCID

Affiliation:

1. Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia

2. Cardiovascular Disease Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Melbourne, Australia

3. Pre-clinical Critical Care Unit, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia

4. George Institute for Global Health, University of New South Wales, Sydney, Australia

5. Department of Cardiology, Westmead Hospital, Sydney, Australia

6. Sydney Medical School, University of Sydney, Sydney, Australia

7. George Institute for Global Health, New Delhi, India

8. Public Health and Community Medicine, Central University of Kerala, Kasaragod, India

9. Non-Communicable Diseases and Implementation Science, Baker Heart and Diabetes Institute, Melbourne, Australia

10. Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia

11. Rishi Valley Rural Health Centre, Chittoor District, India

12. Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore, India

13. Global Institute of Public Health, Ananthapuri Hospitals and Research Institute, Trivandrum, India

14. Peninsula Clinical School, Central Clinical School, Monash University, Frankston, Australia

Abstract

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.

Funder

National Health and Medical Research Council

Publisher

SAGE Publications

Subject

Health Policy,General Medicine

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