Health System Performance for Multimorbid Cardiometabolic Disease in India: A Population-Based Cross-Sectional Study
References
- Bekker LG, et al. Advancing global health and strengthening the HIV response in the era of the Sustainable Development Goals: The International AIDS Society-Lancet Commission. Lancet. 2018; 392: 312–358. DOI: 10.1016/S0140-6736(18)31070-5
- Chang AY, et al. Past, present, and future of global health financing: A review of development assistance, government, out-of-pocket, and other private spending on health for 195 countries, 1995–2050. The Lancet. 2019; 393: 2233–2260. DOI: 10.1016/S0140-6736(19)30841-4
- Barnett K, et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: A cross-sectional study. Lancet (London, England). 2012; 380: 37–43. DOI: 10.1016/S0140-6736(12)60240-2
- Kruk ME, et al. High-quality health systems in the Sustainable Development Goals era: time for a revolution. The Lancet. Global health. 2018; 6: e1196–e1252. DOI: 10.1016/S2214-109X(18)30386-3
- Kieny MP, Evans DB, Schmets G, Kadandale S. Health-system resilience: Reflections on the Ebola crisis in western Africa. Bulletin of the World Health Organization. 2014; 92: 850. DOI: 10.2471/BLT.14.149278
- Essue BM, et al. In: Eds Rd et al. (eds.) Disease Control Priorities: Improving Health and Reducing Poverty (The International Bank for Reconstruction and Development/The World Bank (c) 2018 International Bank for Reconstruction and Development/The World Bank; 2017).
- GBD 2016 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017; 390: 1260–1344. DOI: 10.1016/S0140-6736(17)32130-X
- GBD 2016 Causes of Death Collaborators. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017; 390: 1151–1210. DOI: 10.1016/S0140-6736(17)32152-9
- Institute for Health Metrics and Evaluation.
GBD Compare online visualization hub . Seattle, WA: IHME, University of Washington; 2015. Retrieved fromhttp://vizhub.healthdata.org/gbd-compare . (accessed 31 August 2018). - Anchala R, et al. Hypertension in India: A systematic review and meta-analysis of prevalence, awareness, and control of hypertension. Journal of hypertension. 2014; 32: 1170–1177. DOI: 10.1097/HJH.0000000000000146
- Anjana RM, et al. Prevalence of diabetes and prediabetes in 15 states of India: Results from the ICMR-INDIAB population-based cross-sectional study. The Lancet, Diabetes & endocrinology. 2017; 5: 585–596, DOI: 10.1016/S2213-8587(17)30174-2
- Behl S, Misra A. Management of obesity in adult Asian Indians. Indian Heart J. 2017; 69: 539–544, DOI: 10.1016/j.ihj.2017.04.015
- Yusuf S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): Case-control study. Lancet. 2004; 364: 937–952. DOI: 10.1016/S0140-6736(04)17018-9
- O’Donnell MJ, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): A case-control study. Lancet. 2016; 388: 761–775. DOI: 10.1016/S0140-6736(16)30506-2
- GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017; 390: 1345–1422. DOI: 10.1016/S0140-6736(17)32366-8
- Geldsetzer P, et al. Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults. PLoS medicine. 2018; 15:
e1002581 . DOI: 10.1371/journal.pmed.1002581 - Gaziano TA, et al. In: Eds Rd et al. (eds.) Cardiovascular, Respiratory, and Related Disorders The International Bank for Reconstruction and Development/The World Bank; 2017.
- Collins R, et al. Interpretation of the evidence for the efficacy and safety of statin therapy. Lancet. 2016; 388: 2532–2561. DOI: 10.1016/S0140-6736(16)31357-5
- Fulcher J, et al. Efficacy and safety of LDL-lowering therapy among men and women: Meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet. 2015: 385: 1397–1405. DOI: 10.1016/S0140-6736(14)61368-4
- Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: Meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. Bmj. 2009; 338: b1665. DOI: 10.1136/bmj.b1665
- Sundstrom J, et al. Effects of blood pressure reduction in mild hypertension: A systematic review and meta-analysis. Annals of internal medicine. 2015; 162: 184–191. DOI: 10.7326/M14-0773
- Rawshani A, et al. Risk Factors, Mortality, and Cardiovascular Outcomes in Patients with Type 2 Diabetes. N Engl J Med. 2018; 379: 633–644. DOI: 10.1056/NEJMoa1800256
- Lewington S, Clarke R, Qizilbash N, Peto R, Collins R. Age-specific relevance of usual blood pressure to vascular mortality: A meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002; 360: 1903–1913. DOI: 10.1016/S0140-6736(02)11911-8
- Bischops AC, et al. The prevalence of concurrently raised blood glucose and blood pressure in India: A cross-sectional study of 2035-662 adults. J Hypertens. 2019; 37: 1822–1831. DOI: 10.1097/HJH.0000000000002114
- Government of India, M. o. H. a. F. W. State/UT-wise Rural and Urban Population as Per Census during 2001 and 2011. 2011. Retrieved from
https://data.gov.in/resources/state-ut-wise-rural-and-urban-population-census-during-2001-and-2011 . - International Institute for Population Sciences Mumbai.
National Family Health Survey (NFHS-4) , 2015–16: India Report; 2017. Retrieved fromhttp://rchiips.org/nfhs/NFHS-4Reports/India.pdf . - International Institute for Population Sciences, M. National Family Health Survey 2015–2016 Clinical Anthropometric Biochemical (CAB) Manual. 2014. Retrieved from
http://rchiips.org/NFHS/NFHS4/manual/NFHS-4%20Biomarker%20Field%20Manual.pdf . - Weber MA, et al. Clinical Practice Guidelines for the Management of Hypertension in the Community. The Journal of Clinical Hypertension. 2013; 16: 14–26. DOI: 10.1111/jch.12237
- Sacks DB, et al. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes care. 2011; 34: e61–e99. DOI: 10.2337/dc11-9998
- International Diabetes Federation. Recommendations for Managing Type 2 Diabetes in Primary Care. 2017. Retrieved from
www.idf.org/managing-type2-diabetes . - American Diabetes Association. 6. Glycemic Targets: Standards of Medical Care in Diabetes-2018. Diabetes care. 2018; 41: S55–s64. DOI: 10.2337/dc18-S006
- Filmer D, Pritchett LH. Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India. Demography. 2001; 38: 115–132. DOI: 10.1353/dem.2001.0003
- World Health Organization Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet (London, England). 2004; 363: 157–163. DOI: 10.1016/S0140-6736(03)15268-3
- World Heatlh Organization.
Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity . Vitamin and Mineral Nutrition Information System. Geneva: World Health Organization, 2011 (WHO/NMH/NHD/MNM/11.1).http://www.who.int/vmnis/indicators/haemoglobin (accessed 30 July 2018). - Zou G. A modified poisson regression approach to prospective studies with binary data. American journal of epidemiology. 2004; 159: 702–706. DOI: 10.1093/aje/kwh090
- Abadie A, Athey S, Imbens GW, Wooldridge J. When Should You Adjust Standard Errors for Clustering? National Bureau of Economic Research Working Paper Series. 2017; 24003. DOI: 10.3386/w24003
- Muller LM, et al. Increased risk of common infections in patients with type 1 and type 2 diabetes mellitus. Clinical infectious diseases : An official publication of the Infectious Diseases Society of America. 2005; 41: 281–288. DOI: 10.1086/431587
- Reitsma MB, et al. Smoking prevalence and attributable disease burden in 195 countries and territories, 1990; 2015: A systematic analysis from the Global Burden of Disease Study 2015. The Lancet. 2017; 389: 1885–1906. DOI: 10.1016/S0140-6736(17)30819-X
- Grover SA, et al. Years of life lost and healthy life-years lost from diabetes and cardiovascular disease in overweight and obese people: A modelling study. The Lancet Diabetes & Endocrinology. 2015; 3: 114–122. DOI: 10.1016/S2213-8587(14)70229-3
- Health Effects of Overweight and Obesity in 195 Countries over 25 Years. New England Journal of Medicine. 2017; 377: 13–27. DOI: 10.1056/NEJMoa1614362
- National Centre for Disease Control.
Training module for medical officers for prevention, control and population level screening of hypertension, diabetes and common cancer (oral, breast & cervical) . New Delhi: Government of India. 2017. Retrieved fromhttps://extranet.who.int/ncdccs/Data/IND_D1_NCD%20Module%20For%20Medical%20Officers%20-%20Population%20based%20screening.pdf . - National Health Resource Centre Ayushman Bharat.
Comprehensive primary health care through health and wellness centers . New Delhi; 2018. Retrieved fromhttp://www.nhm.gov.in/New_Updates_2018/NHM_Components/Health_System_Stregthening/Comprehensive_primary_health_care/letter/Operational_Guidelines_For_CPHC.pdf . - Lee JT, Hamid F, Pati S, Atun R, Millett C. Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis. PloS one. 2015; 10:
e0127199 . DOI: 10.1371/journal.pone.0127199 - Pati S, et al. Non communicable disease multimorbidity and associated health care utilization and expenditures in India: Cross-sectional study. BMC Health Serv Res. 2014; 14: 451. DOI: 10.1186/1472-6963-14-451
- Higashi, T. et al. Relationship between number of medical conditions and quality of care. N Engl J Med. 2007; 356: 2496–2504. DOI: 10.1056/NEJMsa066253
- Min LC, et al. Multimorbidity is associated with better quality of care among vulnerable elders. Med Care. 2007; 45: 480–488. DOI: 10.1097/MLR.0b013e318030fff9
- Pati S, et al. Prevalence and outcomes of multimorbidity in South Asia: A systematic review. BMJ Open. 2015; 5. DOI: 10.1136/bmjopen-2014-007235
- Patel SA, et al. Chronic disease concordance within Indian households: A cross-sectional study. PLoS medicine. 2017; 14:
e1002395 . DOI: 10.1371/journal.pmed.1002395 - Singh K, et al. Multimorbidity in South Asian adults: Prevalence, risk factors and mortality. Journal of public health (Oxford, England). DOI: 10.1093/pubmed/fdy017
- Geldsetzer P, et al. Diabetes and Hypertension in India: A Nationally Representative Study of 1.3 Million Adults. JAMA Intern Med. 2018; 178: 363–372. DOI: 10.1001/jamainternmed.2017.8094
- Anjana RM, et al. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. The Lancet. Diabetes & endocrinology. 2017. DOI: 10.1016/S2213-8587(17)30174-2
- United Nations Department of Economic and Social Affairs.
World Population Prospects: The 2019 Revision, Key Findings and Advance Tables . New York, NY: United Nations; 2019. - Whelton PK, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018; 71: 2199–2269. DOI: 10.1016/j.jacc.2017.11.005
- International Diabetes Federation. IDF Clinical Practice Recommendations for Managing Type 2 Diabetes in Primary Care. Brussels, Belgium: International Diabetes Federation; 2017.
- Khetan A, et al. Prevalence and pattern of cardiovascular risk factors in a population in India. Heart Asia. 2017; 9:
e010931 . DOI: 10.1136/heartasia-2017-010931 - Ghaffar A, Reddy KS, Singhi M. Burden of non-communicable diseases in South Asia. BMJ: British Medical Journal. 2004; 328: 807–810. DOI: 10.1136/bmj.328.7443.807
- Yusuf S, et al. Cardiovascular Risk and Events in 17 Low-, Middle-, and High-Income Countries. New England Journal of Medicine. 2014; 371: 818–827. DOI: 10.1056/NEJMoa1311890
DOI: https://doi.org/10.5334/gh.1056 | Journal eISSN: 2211-8179
Language: English
Submitted on: Apr 17, 2021
Accepted on: Dec 20, 2021
Published on: Jan 31, 2022
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© 2022 Pascal Geldsetzer, Jan-Walter De Neve, Viswanathan Mohan, Dorairaj Prabhakaran, Ambuj Roy, Nikhil Tandon, Justine I. Davies, Sebastian Vollmer, Till Bärnighausen, Jonas Prenissl, published by Ubiquity Press
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