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Diagnostic Testing for Hypertension, Diabetes, and Hypercholesterolaemia in Low-Income and Middle-Income Countries: A Cross-Sectional Study of Data for 994 185 Individuals From 57 Nationally Representative Surveys Publisher Pubmed



Ochmann S1 ; Von Polenz I2 ; Marcus ME3, 6 ; Theilmann M7 ; Flood D8 ; Agoudavi K9 ; Aryal KK10 ; Bahendeka S11 ; Bicaba B12 ; Bovet P13, 14 ; Campos Caldeira Brant L15 ; Carvalho Malta D16 ; Damasceno A17 ; Farzadfar F18 Show All Authors
Authors
  1. Ochmann S1
  2. Von Polenz I2
  3. Marcus ME3, 6
  4. Theilmann M7
  5. Flood D8
  6. Agoudavi K9
  7. Aryal KK10
  8. Bahendeka S11
  9. Bicaba B12
  10. Bovet P13, 14
  11. Campos Caldeira Brant L15
  12. Carvalho Malta D16
  13. Damasceno A17
  14. Farzadfar F18
  15. Gathecha G20
  16. Ghanbari A18
  17. Gurung M21
  18. Guwatudde D22
  19. Houehanou C23
  20. Houinato D23
  21. Hwalla N24
  22. Jorgensen JA26
  23. Karki KB27
  24. Lunet N28, 29, 30
  25. Martins J31
  26. Mayige M32
  27. Moghaddam SS19, 33
  28. Mwalim O10, 34
  29. Mwangi KJ20, 35
  30. Norov B36
  31. Quesnelcrooks S37
  32. Rezaei N18
  33. Sibai AM25
  34. Sturua L38
  35. Tsabedze L39
  36. Wongmcclure R40
  37. Davies J41, 42, 43
  38. Geldsetzer P44, 45
  39. Barnighausen T7, 46, 47
  40. Atun R4, 48
  41. Mannegoehler J3, 5
  42. Vollmer S1
Show Affiliations
Authors Affiliations
  1. 1. Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany
  2. 2. Faculty of Medicine, University of Goettingen, Goettingen, Germany
  3. 3. Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA, United States
  4. 4. Department of Global Health and Social Medicine, Boston, MA, United States
  5. 5. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States
  6. 6. Harvard Medical School, Boston, MA, United States
  7. 7. Heidelberg Institute of Global Health, Faculty of Medicine, and University Hospital, Heidelberg University, Heidelberg, Germany
  8. 8. University of Michigan, Ann Arbor, MI, United States
  9. 9. Togo Ministry of Health, Lome, Togo
  10. 10. Bergen Center for Ethics and Priority Setting, Department of Global Public Health and Primary Care, Faculty of Medicine, University of Bergen, Bergen, Norway
  11. 11. Saint Francis Hospital Nsambya, Uganda Martyrs University, Kampala, Uganda
  12. 12. Institut National de Sante Publique, Ouagadougou, Burkina Faso
  13. 13. Ministry of Health, Victoria, Seychelles
  14. 14. University Center for General Medicine and Public Health (Unisante), Lausanne, Switzerland
  15. 15. Department of Clinical Medicine, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
  16. 16. Postgraduate Program in Public Health, Federal University of Minas Gerais, Belo Horizonte, Brazil
  17. 17. Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
  18. 18. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  19. 19. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  20. 20. Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya
  21. 21. Health Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan
  22. 22. Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
  23. 23. Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
  24. 24. Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon
  25. 25. Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
  26. 26. Global Health Section, Dept of Public Health, University of Copenhagen, Cophenhagen, Denmark
  27. 27. Department of Community Medicine and Public Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
  28. 28. Departamento de Ciencias da Saude Publica e Forenses e Educacao Medica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
  29. 29. EPIUnit, Instituto de Saude Publica da Universidade do Porto, Porto, Portugal
  30. 30. Laboratorio para a Investigacao Integrativa e Translacional em Saude Populacional, Porto, Portugal
  31. 31. Faculty of Medicine and Health Sciences, Universidade Nacional Timor Lorosa'e, Dili, Timor-Leste
  32. 32. National Institute for Medical Research, Dar es Salaam, Tanzania
  33. 33. Kiel Institute for the World Economy, Kiel, Germany
  34. 34. Ministry of Health, Zanzibar City, Tanzania
  35. 35. Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
  36. 36. Nutrition Division, National Center for Public Health, Ulaanbaatar, Mongolia
  37. 37. Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago
  38. 38. Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia
  39. 39. Ministry of Health, Mbabane, Swaziland
  40. 40. Office of Epidemiology and Surveillance, Caja Costarricense de Seguro Social, San Jose, Costa Rica
  41. 41. Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
  42. 42. MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
  43. 43. Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
  44. 44. Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, United States
  45. 45. Chan Zuckerberg Biohub, San Francisco, CA, United States
  46. 46. Harvard Center for Population and Development Studies, Cambridge, MA, United States
  47. 47. Africa Health Research Institute, KwaZulu-Natal, South Africa
  48. 48. Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, United States

Source: The Lancet Global Health Published:2023


Abstract

Background: Testing for the risk factors of cardiovascular disease, which include hypertension, diabetes, and hypercholesterolaemia, is important for timely and effective risk management. Yet few studies have quantified and analysed testing of cardiovascular risk factors in low-income and middle-income countries (LMICs) with respect to sociodemographic inequalities. We aimed to address this knowledge gap. Methods: In this cross-sectional analysis, we pooled individual-level data for non-pregnant adults aged 18 years or older from nationally representative surveys done between Jan 1, 2010, and Dec 31, 2019 in LMICs that included a question about whether respondents had ever had their blood pressure, glucose, or cholesterol measured. We analysed diagnostic testing performance by quantifying the overall proportion of people who had ever been tested for these cardiovascular risk factors and the proportion of individuals who met the diagnostic testing criteria in the WHO package of essential noncommunicable disease interventions for primary care (PEN) guidelines (ie, a BMI >30 kg/m2 or a BMI >25 kg/m2 among people aged 40 years or older). We disaggregated and compared diagnostic testing performance by sex, wealth quintile, and education using two-sided t tests and multivariable logistic regression models. Findings: Our sample included data for 994 185 people from 57 surveys. 19·1% (95% CI 18·5–19·8) of the 943 259 people in the hypertension sample met the WHO PEN criteria for diagnostic testing, of whom 78·6% (77·8–79·2) were tested. 23·8% (23·4–24·3) of the 225 707 people in the diabetes sample met the WHO PEN criteria for diagnostic testing, of whom 44·9% (43·7–46·2) were tested. Finally, 27·4% (26·3–28·6) of the 250 573 people in the hypercholesterolaemia sample met the WHO PEN criteria for diagnostic testing, of whom 39·7% (37·1–2·4) were tested. Women were more likely than men to be tested for hypertension and diabetes, and people in higher wealth quintiles compared with those in the lowest wealth quintile were more likely to be tested for all three risk factors, as were people with at least secondary education compared with those with less than primary education. Interpretation: Our study shows opportunities for health systems in LMICs to improve the targeting of diagnostic testing for cardiovascular risk factors and adherence to diagnostic testing guidelines. Risk-factor-based testing recommendations rather than sociodemographic characteristics should determine which individuals are tested. Funding: Harvard McLennan Family Fund, the Alexander von Humboldt Foundation, and the National Heart, Lung, and Blood Institute of the US National Institutes of Health. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license
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