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Hypertension Care Cascades and Reducing Inequities in Cardiovascular Disease in Low- and Middle-Income Countries Publisher Pubmed



Stein DT1 ; Reitsma MB2 ; Geldsetzer P3, 4 ; Agoudavi K5 ; Aryal KK6, 7 ; Bahendeka S8, 9 ; Brant LCC10 ; Farzadfar F11 ; Gurung MS12 ; Guwatudde D13 ; Houehanou YCN14 ; Malta DC15 ; Martins JS16 ; Saeedi Moghaddam S17, 18 Show All Authors
Authors
  1. Stein DT1
  2. Reitsma MB2
  3. Geldsetzer P3, 4
  4. Agoudavi K5
  5. Aryal KK6, 7
  6. Bahendeka S8, 9
  7. Brant LCC10
  8. Farzadfar F11
  9. Gurung MS12
  10. Guwatudde D13
  11. Houehanou YCN14
  12. Malta DC15
  13. Martins JS16
  14. Saeedi Moghaddam S17, 18
  15. Mwangi KJ19, 20
  16. Norov B21
  17. Sturua L22, 23
  18. Zhumadilov Z24
  19. Barnighausen T25, 26, 27
  20. Davies JI28, 29
  21. Flood D30, 31
  22. Marcus ME32, 33
  23. Theilmann M25, 34
  24. Vollmer S35
  25. Mannegoehler J36, 37
  26. Atun R1, 38
  27. Sudharsanan N25, 34
  28. Verguet S1
Show Affiliations
Authors Affiliations
  1. 1. Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States
  2. 2. Department of Health Policy, Stanford School of Medicine, Stanford University, Stanford, CA, United States
  3. 3. Division of Primary Care and Population Health, Stanford University, Stanford, CA, United States
  4. 4. Chan Zuckerberg Biohub, San Francisco, CA, United States
  5. 5. Noncommunicable Disease Program, Ministry of Health, Lome, Togo
  6. 6. Bergen Centre for Ethics and Priority Setting in Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
  7. 7. Public Health Promotion and Development Organization, Kathmandu, Nepal
  8. 8. MKPGMS-Uganda Martyrs University, Kampala, Uganda
  9. 9. St. Francis Hospital, Nsambya, Kampala, Uganda
  10. 10. Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
  11. 11. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  12. 12. Policy and Planning Division, Ministry of Health, Thimphu, Bhutan
  13. 13. Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
  14. 14. National School of Public Health, University of Parakou, Parakou, Benin
  15. 15. Department Maternal Child and Public Health, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
  16. 16. Faculty of Medicine and Health Sciences, Universidade Nacional Timor Lorosa’e, Dili, Timor-Leste
  17. 17. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  18. 18. Kiel Institute for the World Economy, Kiel, Germany
  19. 19. World Health Organization, Pretoria, South Africa
  20. 20. Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya
  21. 21. Nutrition Department, National Center for Public Health, Ulaanbaatar, Mongolia
  22. 22. National Center for Disease Control and Public Health, Tbilisi, Georgia
  23. 23. Petre Shotadze Tbilisi Medical Academy, Tbilisi, Georgia
  24. 24. School of Medicine, Nazarbayev University, Astana, Kazakhstan
  25. 25. Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany
  26. 26. Harvard Center for Population and Development Studies, Cambridge, MA, United States
  27. 27. Africa Health Research Institute, KwaZulu-Natal, South Africa
  28. 28. Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
  29. 29. Department of Global Health, Centre for Global Surgery, Stellenbosch University, Cape Town, South Africa
  30. 30. Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
  31. 31. Center for Indigenous Health Research, Wuqu’ Kawoq, Tecpan, Guatemala
  32. 32. Brigham and Women’s Hospital, Boston, MA, United States
  33. 33. Harvard Medical School, Boston, MA, United States
  34. 34. Professorship of Behavioral Science for Disease Prevention and Health Care, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
  35. 35. Department of Economics & Centre for Modern Indian Studies, University of Gottingen, Gottingen, Germany
  36. 36. Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, MA, United States
  37. 37. Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
  38. 38. Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, United States

Source: Nature Medicine Published:2024


Abstract

Improving hypertension control in low- and middle-income countries has uncertain implications across socioeconomic groups. In this study, we simulated improvements in the hypertension care cascade and evaluated the distributional benefits across wealth quintiles in 44 low- and middle-income countries using individual-level data from nationally representative, cross-sectional surveys. We raised diagnosis (diagnosis scenario) and treatment (treatment scenario) levels for all wealth quintiles to match the best-performing country quintile and estimated the change in 10-year cardiovascular disease (CVD) risk of individuals initiated on treatment. We observed greater health benefits among bottom wealth quintiles in middle-income countries and in countries with larger baseline disparities in hypertension management. Lower-middle-income countries would see the greatest absolute benefits among the bottom quintiles under the treatment scenario (29.1 CVD cases averted per 1,000 people living with hypertension in the bottom quintile (Q1) versus 17.2 in the top quintile (Q5)), and the proportion of total CVD cases averted would be largest among the lowest quintiles in upper-middle-income countries under both diagnosis (32.0% of averted cases in Q1 versus 11.9% in Q5) and treatment (29.7% of averted cases in Q1 versus 14.0% in Q5) scenarios. Targeted improvements in hypertension diagnosis and treatment could substantially reduce socioeconomic-based inequalities in CVD burden in low- and middle-income countries. © The Author(s), under exclusive licence to Springer Nature America, Inc. 2024.
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