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Healthcare Utilization and Discrepancies by Income Level Among Patients With Newly Diagnosed Type 2 Diabetes in Korea: An Analysis of National Health Insurance Sample Cohort Data

  • Eun Jee Park (Department of Preventive Medicine, Chung-Ang University College of Medicine) ;
  • Nam Ju Ji (Seoul Public Health Research Institute, Seoul Medical Center) ;
  • Chang Hoon You (Seoul Public Health Research Institute, Seoul Medical Center) ;
  • Weon Young Lee (Department of Preventive Medicine, Chung-Ang University College of Medicine)
  • 투고 : 2024.03.26
  • 심사 : 2024.07.22
  • 발행 : 2024.09.30

초록

Objectives: The use of qualitative healthcare services or its discrepancy between different income levels of the type 2 diabetes (T2D) patients has seldom been studied concurrently. The present study is unique that regarding T2D patients of early stages of diagnosis. Aimed to assess the utilization of qualitative healthcare services and influence of income levels on the inequality of care among newly diagnosed patients with T2D. Methods: A retrospective cohort study of 7590 patients was conducted by the National Health Insurance Service National Sample Cohort 2.0 from 2002 to 2015. Insured employee in 2013 with no history of T2D between 2002 and 2012 were included. The standard of diabetes care includes hemoglobin A1c (HbAlc; 4 times/y), eyes (once/y) and lipid abnormalities (once/y). Multivariate logistic regression analysis was performed to examine the difference between income levels and inequality of care. Results: From years 1 to 3, rates of appropriate screening fell from 16.9% to 14.1% (HbA1c), 15.8% to 14.5% (eye), and 59.2% to 33.2% (lipid abnormalities). Relative to income class 5 (the highest-income group), HbA1 screening was significantly less common in class 2 (year 2: odds ratio [OR], 0.78; 95% confidence interval [CI], 0.61 to 0.99; year 3: OR, 0.79; 95% CI, 0.69 to 0.91). In year 1, lipid screening was less common in class 1 (OR, 0.84; 95% CI, 0.73 to 0.98) than in class 5, a trend that continued in year 2. Eye screening rates were consistently lower in class 1 than in class 5 (year 1: OR, 0.73; 95% CI, 0.60 to 0.89; year 2: OR, 0.63; 95% CI, 0.50 to 0.78; year 3: OR, 0.81; 95% CI, 0.67 to 0.99). Conclusions: Newly diagnosed T2D patients have shown low rate of HbA1c and screening for diabetic-related complications and experienced inequality in relation to receiving qualitative diabetes care by income levels.

키워드

과제정보

The authors would like to thank the NHIS for its provision of the study data.

참고문헌

  1. Al-Maskari F, El-Sadig M, Nagelkerke N. Assessment of the direct medical costs of diabetes mellitus and its complications in the United Arab Emirates. BMC Public Health 2010;10:679. http://doi.org/10.1186/1471-2458-10-679
  2. Lee J, Lee JS, Park SH, Shin SA, Kim K. Cohort profile: the National Health Insurance Service-National Sample Cohort (NHISNSC), South Korea. Int J Epidemiol 2017;46(2):e15. http://doi.org/10.1093/ije/dyv319
  3. Link CL, McKinlay JB. Disparities in the prevalence of diabetes: is it race/ethnicity or socioeconomic status? Results from the Boston Area Community Health (BACH) survey. Ethn Dis 2009;19(3):288-292.
  4. Maty SC, Everson-Rose SA, Haan MN, Raghunathan TE, Kaplan GA. Education, income, occupation, and the 34-year incidence (1965-99) of type 2 diabetes in the Alameda County Study. Int J Epidemiol 2005;34(6):1274-1281. http://doi.org/10.1093/ije/dyi167
  5. Ross NA, Gilmour H, Dasgupta K. 14-year diabetes incidence: the role of socio-economic status. Health Rep 2010;21(3):19-28.
  6. Houle J, Beaulieu MD, Chiasson JL, Lesperance F, Cote J, Strychar I, et al. Glycaemic control and self-management behaviours in type 2 diabetes: results from a 1-year longitudinal cohort study. Diabet Med 2015;32(9):1247-1254. http://doi.org/10.1111/dme.12686
  7. James GD, Baker P, Badrick E, Mathur R, Hull S, Robson J. Ethnic and social disparity in glycaemic control in type 2 diabetes; cohort study in general practice 2004-9. J R Soc Med 2012;105(7):300-308. http://doi.org/10.1258/jrsm.2012.110289
  8. Jotkowitz AB, Rabinowitz G, Raskin Segal A, Weitzman R, Epstein L, Porath A. Do patients with diabetes and low socioeconomic status receive less care and have worse outcomes? A national study. Am J Med 2006;119(8):665-669. http://doi.org/10.1016/j.amjmed.2006.02.010
  9. Dray-Spira R, Gary-Webb TL, Brancati FL. Educational disparities in mortality among adults with diabetes in the U.S. Diabetes Care 2010;33(6):1200-1205. http://doi.org/10.2337/dc09-2094
  10. O'Kane MJ, McMenamin M, Bunting BP, Moore A, Coates VE. The relationship between socioeconomic deprivation and metabolic/cardiovascular risk factors in a cohort of patients with type 2 diabetes mellitus. Prim Care Diabetes 2010;4(4):241-249. http://doi.org/10.1016/j.pcd.2010.08.004
  11. Fiscella K, Franks P, Gold MR, Clancy CM. Inequality in quality: addressing socioeconomic, racial, and ethnic disparities in health care. JAMA 2000;283(19):2579-2584. http://doi.org/10.1001/jama.283.19.2579
  12. Fisher M, Freeman T, Mackean T, Friel S, Baum F. Universal health coverage for non-communicable diseases and health equity: lessons from australian primary healthcare. Int J Health Policy Manag 2022;11(5):690-700. http://doi.org/10.34172/ijhpm.2020.232
  13. Grintsova O, Maier W, Mielck A. Inequalities in health care among patients with type 2 diabetes by individual socio-economic status (SES) and regional deprivation: a systematic literature review. Int J Equity Health 2014;13:43. http://doi.org/10.1186/1475-9276-13-43
  14. Kim CB. A historical legacy for universal health coverage in the Republic of Korea: moving towards health coverage and financial protection in Uganda comment on "Health Coverage and Financial Protection in Uganda: A Political Economy Perspective". Int J Health Policy Manag 2023;12:7434. http://doi.org/10.34172/ijhpm.2023.7434
  15. Dunlop S, Coyte PC, McIsaac W. Socio-economic status and the utilisation of physicians' services: results from the Canadian National Population Health Survey. Soc Sci Med 2000;51(1):123-133. http://doi.org/10.1016/s0277-9536(99)00424-4
  16. Booth GL, Hux JE. Relationship between avoidable hospitalizations for diabetes mellitus and income level. Arch Intern Med 2003;163(1):101-106. http://doi.org/10.1001/archinte.163.1.101
  17. Alter DA, Naylor CD, Austin P, Tu JV. Effects of socioeconomic status on access to invasive cardiac procedures and on mortality after acute myocardial infarction. N Engl J Med 1999;341(18):1359-1367. http://doi.org/10.1056/NEJM199910283411806
  18. Liao PJ, Lin ZY, Huang JC, Hsu KH. The relationship between type 2 diabetic patients' early medical care-seeking consistency to the same clinician and health care system and their clinical outcomes. Medicine (Baltimore) 2015;94(7):e554. http://doi.org/10.1097/MD.0000000000000554
  19. Jung CL, Kwon HC, Nahm JW. The equity of the national health insurance contribution in Korea. Korean Soc Secur Stud 2014;30(2):317-344 (Korean).
  20. Jeong H, Lee JH, Shin JW, Song YM. Scale and structure of 2006 total health expenditure in Korea constructed according to OECD/WHO/EUROSTAT's SHA (system of health accounts). Korean J Health Econ Policy 2008;14(14):151-169 (Korean).
  21. Park BJ, Park PK, Sung KH. Validity of diagnosis code on national health insurance claim database. Seoul: Seoul National University; 2003 (Korean).
  22. Shin JI, Wang D, Fernandes G, Daya N, Grams ME, Golden SH, et al. Trends in receipt of American Diabetes Association guideline-recommended care among U.S. adults with diabetes: NHANES 2005-2018. Diabetes Care 2021;44(6):1300-1308. http://doi.org/10.2337/dc20-2541
  23. McCoy RG, Van Houten HK, Ross JS, Montori VM, Shah ND. HbA1c overtesting and overtreatment among US adults with controlled type 2 diabetes, 2001-13: observational population based study. BMJ 2015;351:h6138. http://doi.org/10.1136/bmj.h6138
  24. Ricci-Cabello I, Ruiz-Perez I, Olry de Labry-Lima A, Marquez-Calderon S. Do social inequalities exist in terms of the prevention, diagnosis, treatment, control and monitoring of diabetes? A systematic review. Health Soc Care Community 2010;18(6):572-587. http://doi.org/10.1111/j.1365-2524.2010.00960.x
  25. World Health Organization. Republic of Korea health system review; 2015 [cited 2022 Nov 21]. Available from: https://iris.who.int/handle/10665/208215
  26. Song YJ. The South Korean health care system. Jpn Med Assoc J 2009;52(3):206-209.
  27. Byun SH, Ma SH, Jun JK, Jung KW, Park B. Screening for diabetic retinopathy and nephropathy in patients with diabetes: a nationwide survey in Korea. PLoS One 2013;8(5):e62991. http://doi.org/10.1371/journal.pone.0062991
  28. Fosse-Edorh S, Fagot-Campagna A, Detournay B, Bihan H, Eschwege E, Gautier A, et al. Impact of socio-economic position on health and quality of care in adults with type 2 diabetes in France: the Entred 2007 study. Diabet Med 2015;32(11):1438-1444. http://doi.org/10.1111/dme.12783
  29. Hsu CC, Lee CH, Wahlqvist ML, Huang HL, Chang HY, Chen L, et al. Poverty increases type 2 diabetes incidence and inequality of care despite universal health coverage. Diabetes Care 2012;35(11):2286-2292. http://doi.org/10.2337/dc11-2052
  30. Cuesta-Briand B, Saggers S, McManus A. 'It still leaves me sixty dollars out of pocket': experiences of diabetes medical care among low-income earners in Perth. Aust J Prim Health 2014;20(2):143-150. http://doi.org/10.1071/PY12096
  31. Brown AF, Gregg EW, Stevens MR, Karter AJ, Weinberger M, Safford MM, et al. Race, ethnicity, socioeconomic position, and quality of care for adults with diabetes enrolled in managed care: the Translating Research Into Action for Diabetes (TRIAD) study. Diabetes Care 2005;28(12):2864-2870. http://doi.org/10.2337/diacare.28.12.2864
  32. Kirkman MS, Rowan-Martin MT, Levin R, Fonseca VA, Schmittdiel JA, Herman WH, et al. Determinants of adherence to diabetes medications: findings from a large pharmacy claims database. Diabetes Care 2015;38(4):604-609. http://doi.org/10.2337/dc14-2098
  33. Do YK, Eggleston KN. Educational disparities in quality of diabetes care in a universal health insurance system: evidence from the 2005 Korea National Health and Nutrition Examination Survey. Int J Qual Health Care 2011;23(4):397-404. http://doi.org/10.1093/intqhc/mzr035
  34. Tapp RJ, Zimmet PZ, Harper CA, de Courten MP, Balkau B, McCarty DJ, et al. Diabetes care in an Australian population: frequency of screening examinations for eye and foot complications of diabetes. Diabetes Care 2004;27(3):688-693. http://doi.org/10.2337/diacare.27.3.688
  35. Mangione CM, Gerzoff RB, Williamson DF, Steers WN, Kerr EA, Brown AF, et al. The association between quality of care and the intensity of diabetes disease management programs. Ann Intern Med 2006;145(2):107-116. http://doi.org/10.7326/0003-4819-145-2-200607180-00008
  36. Lee SW, Chun BY, Yeh MH, Kang YS, Kim KY, Lee YS, et al. Therapeutic compliance and its related factors of patients with hypertension in rural area. Korean J Prev Med 2000;33(2):215-225 (Korean).
  37. van Eijk KN, Blom JW, Gussekloo J, Polak BC, Groeneveld Y. Diabetic retinopathy screening in patients with diabetes mellitus in primary care: incentives and barriers to screening attendance. Diabetes Res Clin Pract 2012;96(1):10-16. http://doi.org/10.1016/j.diabres.2011.11.003
  38. Zgibor JC, Songer TJ. External barriers to diabetes care: addressing personal and health systems issues. Diabetes Spectr 2001;14(1):23-28.