Sociodemographic and geographic inequalities in diagnosis and treatment of older adults’ chronic conditions in India: a nationally representative population-based study

[1]  S. Mohanty,et al.  Prevalence of pain and its treatment among older adults in India: a nationally representative population-based study. , 2022, Pain.

[2]  P. Mathur,et al.  Regional estimates of noncommunicable diseases associated risk factors among adults in India: results from National Noncommunicable Disease Monitoring Survey , 2022, BMC Public Health.

[3]  P. Mathur,et al.  Hypertension treatment cascade in India: results from National Noncommunicable Disease Monitoring Survey , 2022, Journal of Human Hypertension.

[4]  T. Bärnighausen,et al.  Health System Performance for Multimorbid Cardiometabolic Disease in India: A Population-Based Cross-Sectional Study , 2022, Global heart.

[5]  P. Puri,et al.  Patterns and predictors of non-communicable disease multimorbidity among older adults in India: evidence from longitudinal ageing study in India (LASI), 2017–2018 , 2022, Journal of Public Health Policy.

[6]  Jinkook Lee,et al.  Hypertension awareness, treatment, and control and their association with healthcare access in the middle-aged and older Indian population: A nationwide cohort study , 2022, PLoS medicine.

[7]  S. Mohanty,et al.  Missed opportunities for hypertension screening: a cross-sectional study, India , 2021, Bulletin of the World Health Organization.

[8]  Tracking Universal Health Coverage , 2021 .

[9]  Jing Guo,et al.  Socio-economic inequalities in the chronic diseases management among Chinese adults aged 45 years and above: a cross sectional study , 2021, Archives of Public Health.

[10]  S. Mohanty,et al.  Awareness, treatment, and control of hypertension in adults aged 45 years and over and their spouses in India: A nationally representative cross-sectional study , 2021, PLoS medicine.

[11]  U. Dash,et al.  Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data , 2021, International Journal for Equity in Health.

[12]  S. Mohanty,et al.  Morbidity compression or expansion? A temporal analysis of the age at onset of non-communicable diseases in India , 2021, GeroScience.

[13]  J. Mukherjee,et al.  Assessing burden, risk factors, and perceived impact of uterine fibroids on women’s lives in rural Haiti: implications for advancing a health equity agenda, a mixed methods study , 2020, International Journal for Equity in Health.

[14]  Eun Sug Park,et al.  Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 , 2020, Lancet.

[15]  Ravensara S. Travillian,et al.  Five insights from the Global Burden of Disease Study 2019 , 2020, The Lancet.

[16]  T. H. Nguyen,et al.  Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 , 2020, The Lancet. Respiratory medicine.

[17]  M. Woodward,et al.  Sex Differences in Cardiovascular Medication Prescription in Primary Care: A Systematic Review and Meta‐Analysis , 2020, Journal of the American Heart Association.

[18]  S. Srivastava,et al.  Untreated morbidity and treatment-seeking behaviour among the elderly in India: Analysis based on National Sample Survey 2004 and 2014 , 2020, SSM - population health.

[19]  K. Claypool,et al.  Characteristics of undiagnosed diabetes in men and women under the age of 50 years in the Indian subcontinent: the National Family Health Survey (NFHS-4)/Demographic Health Survey 2015–2016 , 2020, BMJ Open Diabetes Research & Care.

[20]  S. Yusuf,et al.  The household economic burden of non-communicable diseases in 18 countries , 2020, BMJ Global Health.

[21]  S. Clark,et al.  Diagnosis and Care of Chronic Health Conditions Among Medicaid Expansion Enrollees: a Mixed-Methods Observational Study , 2019, Journal of General Internal Medicine.

[22]  S. Vollmer,et al.  Variation in health system performance for managing diabetes among states in India: a cross-sectional study of individuals aged 15 to 49 years , 2019, BMC Medicine.

[23]  N. Arinaminpathy,et al.  Supplement to: Constructing care cascades for active tuberculosis: a strategy for program monitoring and identifying gaps in quality of care Corresponding author: , 2019 .

[24]  R. Atun,et al.  Action to address the household economic burden of non-communicable diseases , 2018, The Lancet.

[25]  A. Kastor,et al.  Disease-specific out-of-pocket and catastrophic health expenditure on hospitalization in India: Do Indian households face distress health financing? , 2018, PloS one.

[26]  L. Yarney,et al.  Factors influencing long-term medication non-adherence among diabetes and hypertensive patients in Ghana: A qualitative investigation , 2018, PloS one.

[27]  S. Vollmer,et al.  Diabetes and Hypertension in India: A Nationally Representative Study of 1.3 Million Adults , 2018, JAMA internal medicine.

[28]  A. Rajabi,et al.  Catastrophic Health Expenditure of Chronic Diseases: Evidence from Hamadan, Iran , 2017, International journal of preventive medicine.

[29]  O. Sada,et al.  Medication adherence and its associated factors among diabetic patients at Zewditu Memorial Hospital, Addis Ababa, Ethiopia , 2017, BMC Research Notes.

[30]  Stephen S. Lim,et al.  Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study , 2017, The Lancet.

[31]  S. Chatterji,et al.  Chronic Noncommunicable Diseases in 6 Low- and Middle-Income Countries: Findings From Wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (SAGE) , 2017, American journal of epidemiology.

[32]  S. Antoniou,et al.  Current Situation of Medication Adherence in Hypertension , 2017, Front. Pharmacol..

[33]  Awuni Prosper Mandela Amaltinga Non Adherence to Diabetic Medication Among Diabetic Patients, a Case Study of Dormaa Hospital Ghana , 2017 .

[34]  B. Banerjee National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS) , 2017 .

[35]  H. Freetly,et al.  Differential expression of genes related to gain and intake in the liver of beef cattle , 2017, BMC Research Notes.

[36]  L. Barker,et al.  Chronic Disease Disparities by County Economic Status and Metropolitan Classification, Behavioral Risk Factor Surveillance System, 2013 , 2016, Preventing chronic disease.

[37]  N. Devadasan,et al.  The rising burden of chronic conditions among urban poor: a three-year follow-up survey in Bengaluru, India , 2015, BMC Health Services Research.

[38]  J. Fadare,et al.  Medication adherence and direct treatment cost among diabetes patients attending a tertiary healthcare facility in Ogbomosho, Nigeria. , 2015, Malawi medical journal : the journal of Medical Association of Malawi.

[39]  Oona MR Campbell,et al.  A mediation approach to understanding socio-economic inequalities in maternal health-seeking behaviours in Egypt , 2015, BMC Health Services Research.

[40]  Hassan Khan,et al.  Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension , 2014, Journal of hypertension.

[41]  S. Chatterji,et al.  Hypertension among older adults in low- and middle-income countries: prevalence, awareness and control , 2014, International journal of epidemiology.

[42]  S. Agrawal,et al.  Socio-Demographic Inequalities in the Prevalence, Diagnosis and Management of Hypertension in India: Analysis of Nationally-Representative Survey Data , 2014, PloS one.

[43]  G. Wilson,et al.  Relationship between Medication Use and Cardiovascular Disease Health Outcomes in the Jackson Heart Study , 2011, International journal of environmental research and public health.

[44]  S. Clifford,et al.  Adherence to medication among chronic patients in Middle Eastern countries: review of studies. , 2011, Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit.

[45]  Vikram Patel,et al.  Chronic diseases and injuries in India , 2011, The Lancet.

[46]  D. Maclean,et al.  A review of non-communicable disease in low- and middle-income countries. , 2009, International health.

[47]  K. Tin,et al.  Who pays for health care in Asia? , 2008, Journal of health economics.

[48]  Jürgen Maurer Assessing Horizontal Equity in Medication Treatment Among Elderly Mexicans: Which Socioeconomic Determinants Matter Most? , 2007, Health economics.

[49]  A. Mukherjee,et al.  Untreated Morbidity and Demand for Healthcare in india: an analysis of National Sample Survey Data , 2008 .

[50]  M. Harris,et al.  Care of patients with chronic disease: the challenge for general practice , 2007, The Medical journal of Australia.

[51]  Adam Wagstaff,et al.  The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. , 2005, Health economics.

[52]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[53]  Leslie E. Papke,et al.  Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates , 1993 .