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Rural-Urban Differences in Diabetes Care and Control in 42 Low-And Middle-Income Countries: A Cross-Sectional Study of Nationally Representative Individual-Level Data Publisher Pubmed



Flood D1, 2, 3 ; Geldsetzer P4, 5 ; Agoudavi K6 ; Aryal KK7 ; Brant LCC8, 9 ; Brian G10 ; Dorobantu M11 ; Farzadfar F12 ; Gheorghefronea O11, 13 ; Gurung MS14 ; Guwatudde D15 ; Houehanou C16 ; Jorgensen JMA17 ; Kondal D18, 19 Show All Authors
Authors
  1. Flood D1, 2, 3
  2. Geldsetzer P4, 5
  3. Agoudavi K6
  4. Aryal KK7
  5. Brant LCC8, 9
  6. Brian G10
  7. Dorobantu M11
  8. Farzadfar F12
  9. Gheorghefronea O11, 13
  10. Gurung MS14
  11. Guwatudde D15
  12. Houehanou C16
  13. Jorgensen JMA17
  14. Kondal D18, 19
  15. Labadarios D20
  16. Marcus ME21
  17. Mayige M22
  18. Moghimi M12
  19. Norov B23
  20. Perman G24
  21. Quesnelcrooks S25
  22. Rashidi MM12
  23. Moghaddam SS26
  24. Seiglie JA27
  25. Bahendeka SK28, 29
  26. Steinbrook E30
  27. Theilmann M31
  28. Ware LJ32, 33
  29. Vollmer S21
  30. Atun R34, 35
  31. Davies JI36, 37, 38
  32. Ali MK39, 40
  33. Rohloff P2, 41
  34. Mannegoehler J42, 43

Source: Diabetes Care Published:2022


Abstract

OBJECTIVE Diabetes prevalence is increasing rapidly in rural areas of low-and middle-income countries (LMICs), but there are limited data on the performance of health systems in delivering equitable and effective care to rural populations. We therefore assessed rural-urban differences in diabetes care and control in LMICs. RESEARCH DESIGN AND METHODS We pooled individual-level data from nationally representative health surveys in 42 countries. We used Poisson regression models to estimate age-adjusted differences in the proportion of individuals with diabetes in rural versus urban areas achieving performance measures for the diagnosis, treatment, and control of diabetes and associated cardiovascular risk factors. We examined differences across the pooled sample, by sex, and by country. RESULTS The pooled sample from 42 countries included 840,110 individuals (35,404 with diabetes). Compared with urban populations with diabetes, rural populations had ~15–30% lower relative risk of achieving performance measures for diabetes diagnosis and treatment. Rural populations with diagnosed diabetes had a 14% (95% CI 5–22%) lower relative risk of glycemic control, 6% (95% CI 25 to 16%) lower relative risk of blood pressure control, and 23% (95% CI 2–39%) lower relative risk of cholesterol control. Rural women with diabetes had lower achievement of performance measures relating to control than urban women, whereas among men, differences were small. CONCLUSIONS Rural populations with diabetes experience substantial inequities in the achievement of diabetes performance measures in LMICs. Programs and policies aiming to strengthen global diabetes care must consider the unique challenges experienced by rural populations. © 2022 by the American Diabetes Association.
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