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Integrated Diabetes Care in Hong Kong: From Research to Practice to Policy

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Integrated Diabetes Care

Abstract

Hong Kong is a cosmopolitan city in South China with a population of seven million leading a westernized lifestyle. Since the 1990s, the epidemic of diabetes in Hong Kong coupled with the challenges of heavy service demands and manpower shortage have motivated the Chinese University of Hong Kong-Prince of Wales Hospital (CUHK-PWH) diabetes team to re-engineer workflow, train nurses and allied health providers to perform structured assessments, and establish a registry for quality assurance and research purposes. This protocol-driven, team-based care programme has improved the efficiency of risk stratification and personalized care with reduction in complications, hospitalizations and death. Within this diabetes centre, establishment of cohorts, biobanks, and clinical databases have helped to define the local epidemiology, validate treatment effectiveness, identify treatment gaps, discover genetic markers, develop risk equations, and select patients for clinical trials. In 2007, state of the art information technology was employed to create the first web-based diabetes management (JADE: Joint Asia Diabetes Evaluation programme) portal, incorporating care protocols, risk engine, decision support, and personalized reporting to reduce clinical inertia and treatment non-adherence in order to improve diabetes-related outcomes. Within this integrated care programme, innovations such as peer support have demonstrated reductions in hospitalizations, especially in those with negative emotions. This series of quality improvement programmes contributed to the strategic framework of the Hospital Authority to develop career paths for diabetes nurses and establish diabetes centres to provide team-based holistic care and reduce disease burden. Through the JADE programme, a network of care professionals has established an Asia Diabetes Database to evaluate the feasibility, acceptability and cost-effectiveness of this ‘high tech, soft touch’ approach in pursuit of accessible, affordable, and sustainable diabetes care. Through these two decades of concerted efforts, the CUHK-PWH team has systematically proved that by promoting pragmatic improvement science, it is possible to define problems, formulate solutions, change practice, influence policy, and make innovations to protect health and prevent disease, all within a real-world setting.

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References

  1. Information Services Department, Hong Kong SAR Government. Feb 2016. Available from: http://www.gov.hk/en/about/abouthk/factsheets/docs/public_health.pdf

  2. Chan JC, Cockram CS, Nicholls MG, Cheung CK, Swaminathan R. Comparison of enalapril and nifedipine in treating non-insulin dependent diabetes associated with hypertension: one year analysis. BMJ. 1992;305(6860):981–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Chan JC, Ko GT, Leung DH, Cheung RC, Cheung MY, So WY, et al. Long-term effects of angiotensin-converting enzyme inhibition and metabolic control in hypertensive type 2 diabetic patients. Kidney Int. 2000;57(2):590–600.

    Article  CAS  PubMed  Google Scholar 

  4. So WY, Tong PCY, Ko GTC, Leung WYS, Chow C-C, Yeung VTF, et al. Effects of protocol-driven care versus usual outpatient clinic care on survival rates in patients with type 2 diabetes. Am J Manag Care. 2003;9(9):606–15.

    PubMed  Google Scholar 

  5. Piwernetz K, Home PD, Snorgaard O, Antsiferov M, Staehr-Johansen K, Krans M. Monitoring the targets of the St Vincent Declaration and the implementation of quality management in diabetes care: the DIABCARE initiative. The DIABCARE Monitoring Group of the St Vincent Declaration Steering Committee. Diabet Med. 1993;10(4):371–7.

    Article  CAS  PubMed  Google Scholar 

  6. Chan JCN, Malik V, Jia W, Kadowaki T, Yajnik CS, Yoon K-H, et al. Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA. 2009;301(20):2129–40.

    Article  CAS  PubMed  Google Scholar 

  7. Yang X, So W, Kong A, Clarke P, Ho C, Lam C, et al. End-stage renal disease risk equations for Hong Kong Chinese patients with type 2 diabetes: Hong Kong Diabetes Registry. Diabetologia. 2006;49(10):2299–308.

    Article  CAS  PubMed  Google Scholar 

  8. Yang X, So W-Y, Kong APS, Ho C-S, Lam CWK, Stevens RJ, et al. Development and validation of stroke risk equation for Hong Kong Chinese patients with type 2 diabetes: the Hong Kong Diabetes Registry. Diabetes Care. 2007;30(1):65–70.

    Article  PubMed  Google Scholar 

  9. Yang X, Ma RC, So W-Y, Ko GT, Kong AP, Lam CW, et al. Impacts of chronic kidney disease and albuminuria on associations between coronary heart disease and its traditional risk factors in type 2 diabetic patients – the Hong Kong Diabetes Registry. Cardiovasc Diabetol. 2007;6:37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Yang X, Ma R, So W-Y, Kong A, Ko GT, Ho C-S, et al. Development and validation of a risk score for hospitalization for heart failure in patients with type 2 diabetes mellitus. Cardiovasc Diabetol. 2008;7(1):9.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Yang X, So WY, Tong PCY, Ma RCW, Kong APS, Lam CWK, et al. Development and validation of an all-cause mortality risk score in type 2 diabetes. Arch Intern Med. 2008;168(5):451–7.

    Article  PubMed  Google Scholar 

  12. Jiao F, Fung CSC, Wan YF, McGhee SM, Wong CKH, Dai D, et al. Long-term effects of the multidisciplinary risk assessment and management program for patients with diabetes mellitus (RAMP-DM): a population-based cohort study. Cardiovasc Diabetol. 2015;14:105.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Wu JYF, Leung WYS, Chang S, Lee B, Zee B, Tong PCY, et al. Effectiveness of telephone counselling by a pharmacist in reducing mortality in patients receiving polypharmacy: randomised controlled trial. BMJ. 2006;333(7567):522.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Leung WYS, So W-Y, Tong PCY, Chan NN, Chan JCN. Effects of structured care by a pharmacist-diabetes specialist team in patients with type 2 diabetic nephropathy. Am J Med. 2005;118(12):1414.

    Article  PubMed  Google Scholar 

  15. Chan JC, So W-Y, Yeung C-Y, Ko GT, Lau I-T, Tsang M-W, et al. Effects of structured versus usual care on renal endpoint in type 2 diabetes: the SURE study: a randomized multicenter translational study. Diabetes Care. 2009;32(6):977–82.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Das-Munshi J, Stewart R, Ismail K, Bebbington PE, Jenkins R, Prince MJ. Diabetes, common mental disorders, and disability: findings from the UK National Psychiatric Morbidity Survey. Psychosom Med. Jan;69(6):543–50.

    Google Scholar 

  17. Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care. 2001;24(6):1069–78.

    Article  CAS  PubMed  Google Scholar 

  18. Grigsby AB, Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. Prevalence of anxiety in adults with diabetes: a systematic review. J Psychosom Res. 2002;53(6):1053–60.

    Article  PubMed  Google Scholar 

  19. Golden SH. A review of the evidence for a neuroendocrine link between stress, depression and diabetes mellitus. Curr Diabetes Rev. 2007;3(4):252–9.

    Article  PubMed  Google Scholar 

  20. Ting RZW, Nan H, Yu MWM, Kong APS, Ma RCW, Wong RYM, et al. Diabetes-related distress and physical and psychological health in Chinese type 2 diabetic patients. Diabetes Care. 2011;34(5):1094–6.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Zhang Y, Ting R, Lam M, Lam J, Nan H, Yeung R, et al. Measuring depressive symptoms using the Patient Health Questionnaire-9 in Hong Kong Chinese subjects with type 2 diabetes. J Affect Disord. 2013;151(2):660–6. Elsevier.

    Article  PubMed  Google Scholar 

  22. Ting RZW, Lau ESH, Ozaki R, Lau WWY, Kong APS, Luk AOY, et al. High risk for cardiovascular disease in Chinese type 2 diabetic patients with major depression – a 7-year prospective analysis of the Hong Kong Diabetes Registry. J Affect Disord. 2013;149(1–3):129–35.

    Article  PubMed  Google Scholar 

  23. Chan JC, Lau ES, Luk AO, Cheung KK, Kong AP, Yu LW, et al. Premature mortality and co-morbidities in young-onset diabetes – a 7 year prospective analysis. Am J Med. 2014;127(7):616–24.

    Article  PubMed  Google Scholar 

  24. Luk AOY, Lau ESH, So WY, Ma RCW, Kong APS, Ozaki R, et al. Prospective study on the incidences of cardiovascular-renal complications in Chinese patients with young-onset type 1 and type 2 diabetes. Diabetes Care. 2014;37(1):149–57.

    Article  CAS  PubMed  Google Scholar 

  25. Ng MCY, So W-Y, Cox NJ, Lam VKL, Cockram CS, Critchley JAJH, et al. Genome-wide scan for type 2 diabetes loci in Hong Kong Chinese and confirmation of a susceptibility locus on chromosome 1q21-q25. Diabetes. 2004;53(6):1609–13.

    Article  CAS  PubMed  Google Scholar 

  26. Ng MCY, Park KS, Oh B, Tam CHT, Cho YM, Shin HD, et al. Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians. Diabetes. 2008;57(8):2226–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Ma RCW, So WY, Tam CHT, Luk AO, Ho JSK, Wang Y, et al. Genetic variants for type 2 diabetes and new-onset cancer in Chinese with type 2 diabetes. Diabetes Res Clin Pract. 2014;103(2):328–37.

    Article  CAS  PubMed  Google Scholar 

  28. Ma RCW, Tam CHT, Wang Y, Luk AO, Hu C, Yang X, et al. Genetic variants of the protein kinase C-beta 1 gene and development of end-stage renal disease in patients with type 2 diabetes. JAMA. 2010;304(8):881–9.

    Article  CAS  PubMed  Google Scholar 

  29. Wang Y, Luk AOY, Ma RCW, So W-Y, Tam CHT, Ng MCY, et al. Predictive role of multilocus genetic polymorphisms in cardiovascular disease and inflammation-related genes on chronic kidney disease in type 2 diabetes – an 8-year prospective cohort analysis of 1163 patients. Nephrol Dial Transplant. 2012;27(1):190–6.

    Article  PubMed  Google Scholar 

  30. Ho JSK, Germer S, Tam CHT, So W-Y, Martin M, Ma RCW, et al. Association of the PPARG Pro12Ala polymorphism with type 2 diabetes and incident coronary heart disease in a Hong Kong Chinese population. Diabetes Res Clin Pract. 2012;97(3):483–91.

    Article  CAS  PubMed  Google Scholar 

  31. So W-Y, Wang Y, Ng MCY, Yang X, Ma RCW, Lam V, et al. Aldose reductase genotypes and cardiorenal complications: an 8-year prospective analysis of 1,074 type 2 diabetic patients. Diabetes Care. 2008;31(11):2148–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Wang Y, Ng MCY, Lee S-C, So W-Y, Tong PCY, Cockram CS, et al. Phenotypic heterogeneity and associations of two aldose reductase gene polymorphisms with nephropathy and retinopathy in type 2 diabetes. Diabetes Care. 2003;26(8):2410–5.

    Article  CAS  PubMed  Google Scholar 

  33. Baum L, Ng MCY, So W-Y, Lam VKL, Wang Y, Poon E, et al. Effect of hepatic lipase -514C->T polymorphism and its interactions with apolipoprotein C3–482C->T and apolipoprotein E exon 4 polymorphisms on the risk of nephropathy in Chinese type 2 diabetic patients. Diabetes Care. 2005;28(7):1704–9.

    Article  CAS  PubMed  Google Scholar 

  34. Ma RCW, Lee HM, Lam VKL, Tam CHT, Ho JSK, Zhao H-L, et al. Familial young-onset diabetes, pre-diabetes and cardiovascular disease are associated with genetic variants of DACH1 in Chinese. PLoS ONE. 2014;9(1):e84770.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Lam VKL, Ma RCW, Lee HM, Hu C, Park KS, Furuta H, et al. Genetic associations of type 2 diabetes with islet amyloid polypeptide processing and degrading pathways in Asian populations. PLoS ONE. 2013;8(6):e62378.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Ma RCW, Hu C, Tam CH, Zhang R, Kwan P, Leung TF, et al. Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4. Diabetologia. 2013;56(6):1291–305.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Ng MCY, Lam VKL, Tam CHT, Chan AWH, So W-Y, Ma RCW, et al. Association of the POU class 2 homeobox 1 gene (POU2F1) with susceptibility to type 2 diabetes in Chinese populations. Diabet Med. 2010;27(12):1443–9.

    Article  CAS  PubMed  Google Scholar 

  38. Mooyaart AL, Valk EJJ, van Es LA, Bruijn JA, de Heer E, Freedman BI, et al. Genetic associations in diabetic nephropathy: a meta-analysis. Diabetologia. 2011;54(3):544–53.

    Article  CAS  PubMed  Google Scholar 

  39. So WY, Kong APS, Ma RCW, Ozaki R, Szeto CC, Chan NN, et al. Glomerular filtration rate, cardiorenal end points, and all-cause mortality in type 2 diabetic patients. Diabetes Care. 2006;29(9):2046–52.

    Article  PubMed  Google Scholar 

  40. Luk AOY, So W-Y, Ma RCW, Kong APS, Ozaki R, Ng VSW, et al. Metabolic syndrome predicts new onset of chronic kidney disease in 5,829 patients with type 2 diabetes: a 5-year prospective analysis of the Hong Kong Diabetes Registry. Diabetes Care. 2008;31(12):2357–61.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Kong APS, Yang X, Luk A, Ma RCW, So WY, Ozaki R, et al. Severe hypoglycemia identifies vulnerable patients with type 2 diabetes at risk for premature death and all-site cancer: the Hong Kong Diabetes Registry. Diabetes Care. 2014;37(4):1024–31.

    Article  CAS  PubMed  Google Scholar 

  42. Yang X, So WY, Ma RCW, Kong APS, Lee HM, Xu G, et al. Synergistic effects of low LDL cholesterol with other factors for the risk of cancer in type 2 diabetes: the Hong Kong Diabetes Registry. Acta Diabetol. 2012;49 Suppl 1:S185–93.

    Article  PubMed  Google Scholar 

  43. Ko GT, So WY, Tong PC, Chan WB, Yang X, Ma RC, et al. Effect of interactions between C peptide levels and insulin treatment on clinical outcomes among patients with type 2 diabetes mellitus. CMAJ. 2009;180(9):919–26.

    Article  PubMed  PubMed Central  Google Scholar 

  44. So W, Yang X, Ma R, Kong A, Lam C, Ho C, et al. Risk factors in V-shaped risk associations with all-cause mortality in type 2 diabetes—The Hong Kong Diabetes Registry. Diabetes Metab Res Rev. 2008;24(3):238–46.

    Article  PubMed  Google Scholar 

  45. Tong PCY, Kong APS, So W-Y, Ng MHL, Yang X, Ng MCY, et al. Hematocrit, independent of chronic kidney disease, predicts adverse cardiovascular outcomes in Chinese patients with type 2 diabetes. Diabetes Care. 2006;29(11):2439–44.

    Article  PubMed  Google Scholar 

  46. Yang X, So WY, Ma RCW, Yu LWY, Ko GTC, Kong APS, et al. Use of sulphonylurea and cancer in type 2 diabetes-the Hong Kong Diabetes Registry. Diabetes Res Clin Pract. 2010;90(3):343–51.

    Article  CAS  PubMed  Google Scholar 

  47. Yang X, So W-Y, Ma RCW, Yu LWL, Kong APS, Lee HM, et al. Use of thiazolidinedione and cancer risk in type 2 diabetes: the Hong Kong Diabetes Registry. Diabetes Res Clin Pract. 2012;97(1):e13–7.

    Article  CAS  PubMed  Google Scholar 

  48. Yang X, Ko GTC, So WY, Ma RCW, Yu LWL, Kong APS, et al. Associations of hyperglycemia and insulin usage with the risk of cancer in type 2 diabetes: the Hong Kong Diabetes Registry. Diabetes. 2010;59(5):1254–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Yang X, Ma RCW, So WY, Ko GTC, Kong APS, Zhao H, et al. White blood cell count and renin-angiotensin system inhibitors for the risk of cancer in type 2 diabetes. Diabetes Res Clin Pract. 2010;87(1):117–25.

    Article  CAS  PubMed  Google Scholar 

  50. Yang X, So W-Y, Ma RCW, Ko GTC, Kong APS, Wang Q, et al. Predicting values of lipids and white blood cell count for all-site cancer in type 2 diabetes. Endocrinol Relat Cancer. 2008;15(2):597–607.

    Article  CAS  Google Scholar 

  51. Kong APS, Yang X, So W-Y, Luk A, Ma RCW, Ozaki R, et al. Additive effects of blood glucose lowering drugs, statins and renin-angiotensin system blockers on all-site cancer risk in patients with type 2 diabetes. BMC Med. 2014;12:76.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Yang X, So W-Y, Ma RCW, Kong APS, Xu G, Chan JCN. Diabetes and cancer: the mechanistic implications of epidemiological analyses from the Hong Kong Diabetes Registry. Diabetes Metab Res Rev. 2012;28(5):379–87.

    Article  CAS  PubMed  Google Scholar 

  53. Cheng AYS, Kong APS, Wong VWS, So WY, Chan HLY, Ho CS, et al. Chronic hepatitis B viral infection independently predicts renal outcome in type 2 diabetic patients. Diabetologia. 2006;49(8):1777–84.

    Article  CAS  PubMed  Google Scholar 

  54. Lo MKW, Lee K-F, Chan NN, Leung WYS, Ko GTC, Chan W-B, et al. Effects of gender, Helicobacter pylori and hepatitis B virus serology status on cardiovascular and renal complications in Chinese type 2 diabetic patients with overt nephropathy. Diabetes Obes Metab. 2004;6(3):223–30.

    Article  CAS  PubMed  Google Scholar 

  55. Yang X, Wang Y, Luk AOY, So WY, Ma RCW, Kong APS, et al. Enhancers and attenuators of risk associations of chronic hepatitis B virus infection with hepatocellular carcinoma in type 2 diabetes. Endocrinol Relat Cancer. 2013;20(2):161–71.

    Article  Google Scholar 

  56. Gaede P, Vedel P, Larsen N, Jensen GV, Parving HH, Pedersen O. Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. N Engl J Med. 2003;30;348(5):383–93.

    Google Scholar 

  57. Kong APS, Yang X, Ko GTC, So W-Y, Chan W-B, Ma RCW, et al. Effects of treatment targets on subsequent cardiovascular events in Chinese patients with type 2 diabetes. Diabetes Care. 2007;30(4):953–9.

    Article  CAS  PubMed  Google Scholar 

  58. International Diabetes Federation. Global guideline for type 2 diabetes: recommendations for standard, comprehensive, and minimal care. Diabet Med. 2006;23(6):579–93.

    Article  Google Scholar 

  59. Ahola AJ, Groop P-H. Barriers to self-management of diabetes. Diabet Med. 2013;30(4):413–20.

    Article  CAS  PubMed  Google Scholar 

  60. Loveman E, Cave C, Green C, Royle P, Dunn N, Waugh N. The clinical and cost-effectiveness of patient education models for diabetes: a systematic review and economic evaluation. Health Technol Assess. 2003;7(22):iii. 1–190.

    Article  CAS  Google Scholar 

  61. Loveman E, Frampton GK, Clegg AJ. The clinical effectiveness of diabetes education models for type 2 diabetes: a systematic review. Health Technol Assess. 2008;12(9):1–116. iii.

    Article  CAS  Google Scholar 

  62. Jarvis J, Skinner TC, Carey ME, Davies MJ. How can structured self-management patient education improve outcomes in people with type 2 diabetes? Diabetes Obes Metab. 2010;12(1):12–9.

    Article  CAS  PubMed  Google Scholar 

  63. Tricco AC, Ivers NM, Grimshaw JM, Moher D, Turner L, Galipeau J, et al. Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis. Lancet. 2012;379(9833):2252–61. Elsevier Ltd.

    Article  PubMed  Google Scholar 

  64. U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER). Guidance for Industry Diabetes Mellitus–evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes Internet; 2008 cited 2015 May 17. Available from: http://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm071627.pdf

  65. Avorn J. The $2.6 billion pill – methodologic and policy considerations. N Engl J Med. 2015;372(20):1877–9.

    Article  CAS  PubMed  Google Scholar 

  66. Hay J, Jackson J. Panel 2: methodological issues in conducting pharmacoeconomic evaluations – modeling studies. Value Health. 1999;2(2):78–81.

    Google Scholar 

  67. McDonald AM, Treweek S, Shakur H, Free C, Knight R, Speed C, et al. Using a business model approach and marketing techniques for recruitment to clinical trials. Trials. 2011;12(1):74.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Chan JCN, Sui Y, Oldenburg B, Zhang Y, Chung HHY, Goggins W, et al. Effects of telephone-based peer support in patients with type 2 diabetes mellitus receiving integrated care. JAMA Intern Med. 2014;174(6):972–81.

    Article  PubMed  Google Scholar 

  69. Yin JM, Wong R, Au S, Chung HY, Lau M, Lin L, Tsang CC, Lau KP, Ozaki R, So WY, Ko G, Luk A, Yeung R, Chan JC, Yin JM, Wong R, Au S, Chung HY, Lau M, Lin L, Tsang CC, Lau KP, Ozaki R, So WY, Ko G, Luk A, Yeung RCJ. Effects of being a peer supporter on diabetes management in people with type 2 diabetes. Ann Fam Med. 2015;13 Suppl 1:S42–9.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Yin J. A quality improvement project evaluating the effect of personalized feedback report and Peer support in patients with diabetes in Hong Kong. PhD dissertation. The Chinese University of Hong Kong. 2015. ProQuest LLC.

    Google Scholar 

  71. Marshall M, Pronovost P, Dixon-Woods M. Promotion of improvement as a science. Lancet. 2013;381(9864):419–21.

    Article  PubMed  Google Scholar 

  72. Cho YS, Chen C-H, Hu C, Long J, Ong RTH, Sim X, et al. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians. Nat Genet. 2012;44(1):67–72.

    Article  CAS  Google Scholar 

  73. Ko G, So W, Tong P, Ma R, Kong A, Ozaki R, et al. A simple risk score to identify Southern Chinese at high risk for diabetes. Diabet Med. 2010;27(6):644–9.

    Article  CAS  PubMed  Google Scholar 

  74. Alberti KG, Zimmet P, Shaw J. International Diabetes Federation: a consensus on type 2 diabetes prevention. Diabet Med. 2007;24:451–63.

    Article  CAS  PubMed  Google Scholar 

  75. Chan J, So W, Ko G, Tong P, Yang X, Ma R, et al. The Joint Asia Diabetes Evaluation (JADE) Program: a web-based program to translate evidence to clinical practice in Type 2 diabetes. Diabet Med. 2009;26(7):693–9.

    Article  CAS  PubMed  Google Scholar 

  76. Chan JCN, Ozaki R, Luk A, Kong APS, Ma RCW, Chow FCC, et al. Delivery of integrated diabetes care using logistics and information technology – the Joint Asia Diabetes Evaluation (JADE) program. Diabetes Res Clin Pract. 2014;106(Suppl):S295–304.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Division of Endocrinology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada

    Roseanne O. Yeung

  2. Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China

    Roseanne O. Yeung & Juliana C. N. Chan

  3. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China

    Junmei Yin & Juliana C. N. Chan

  4. International Diabetes Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Satin, Hong Kong, China

    Juliana C. N. Chan

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  1. Roseanne O. Yeung
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Correspondence to Roseanne O. Yeung .

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Editors and Affiliations

  1. School of Medicine, Western Sydney University, Sydney, New South Wales, Australia

    David Simmons

  2. Health Economist, Konstanz, Germany

    Helmut Wenzel

  3. Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, Florida, USA

    Janice C. Zgibor

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Yeung, R.O., Yin, J., Chan, J.C.N. (2017). Integrated Diabetes Care in Hong Kong: From Research to Practice to Policy. In: Simmons, D., Wenzel, H., Zgibor, J. (eds) Integrated Diabetes Care. Springer, Cham. https://doi.org/10.1007/978-3-319-13389-8_5

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