Effectiveness of quality of care for patients with type 2 diabetes in China: findings from the Shanghai Integration Model (SIM)
Chun Cai1, Yuexing Liu1, Yanyun Li2, Yan Shi2, Haidong Zou3, Yuqian Bao1, Yun Shen1, Xin Cui4, Chen Fu2(), Weiping Jia1(), the SIM Study Group
1. Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, National Office for Primary Diabetes Care, Shanghai Technical Center for Diabetes Prevention and Clinical Care, Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China 2. Shanghai Municipal Center for Disease Control & Prevention, Shanghai 200336, China 3. Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai Key Laboratory of Ocular Fundus Diseases; Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China 4. Shanghai Municipal Health Commission Information Center, Shanghai 200040, China
This cross-sectional study aimed to investigate the quality of care of diabetes in Shanghai, China. A total of 173 235 patients with type 2 diabetes in 2017 were included in the analysis. Profiles of risk factors and intermediate outcomes were determined. The patients had a mean age of 66.43±8.12 (standard deviation (SD)) years and a mean diabetes duration of 7.95±5.53 (SD) years. The percentage of patients who achieved the target level for HbA1c (<7.0%) was 48.6%. Patients who achieved the target levels for blood pressure (BP)<130/80 mmHg and low-density lipoprotein-cholesterol (LDL-c)<2.6 mmol/L reached 17.5% and 34.0%, respectively. A total of 3.8% achieved all three target levels, and the value increased to 6.8% with an adaptation of the BP target level (<140/90 mmHg) for those over 65 years. Multivariable analysis identified the factors associated with a great likelihood of achieving all three target levels: male, young age, short diabetes duration, low body mass index, macrovascular complications, no microvascular complications, prescribed with lipid-lowering medication, and no prescription of antihypertensive medication. In conclusion, nearly 50% and one-third of the patients with diabetes met the target levels for HbA1c and LDL-c, respectively, with a low percentage achieving the BP target level. The percentage of patients who achieved all three target levels needs significant improvement.
. [J]. Frontiers of Medicine, 2022, 16(1): 126-138.
Chun Cai, Yuexing Liu, Yanyun Li, Yan Shi, Haidong Zou, Yuqian Bao, Yun Shen, Xin Cui, Chen Fu, Weiping Jia, the SIM Study Group. Effectiveness of quality of care for patients with type 2 diabetes in China: findings from the Shanghai Integration Model (SIM). Front. Med., 2022, 16(1): 126-138.
Part A: a All three targets met was defined as HbA1c<7.0%, BP<130/80 mmHg, and LDL-c<2.6 mmol/L.
Part B (continuous outcomes)
HbA1c
SBP
DBP
LDL-c
β (95% CI)
β (95% CI)
β (95% CI)
β (95% CI)
Age
−0.014 (−0.015, −0.013)
0.312 (0.298, 0.327)
−0.209 (−0.217, −0.201)
−0.004 (−0.004, −0.003)
Male (vs. female)
0.141 (0.127, 0.155)
−1.799 (−2.022, −1.576)
1.927 (1.807, 2.047)
−0.284 (−0.295, −0.274)
Diabetes duration
0.043 (0.041, 0.044)
0.055 (0.035, 0.075)
−0.111 (−0.122, −0.100)
−0.001 (−0.002, 0.000)
Current smoker (vs. none)
0.108 (0.076, 0.139)
−2.804 (−3.294, −2.315)
−1.234 (−1.498, −0.970)
0.007 (−0.016, 0.031)
Current drinker (vs. none)
−0.162 (−0.198, −0.127)
1.785 (1.238, 2.333)
0.654 (0.359, 0.949)
0.003 (−0.023, 0.029)
BMI
0.024 (0.022, 0.026)
0.889 (0.853, 0.924)
0.492 (0.473, 0.512)
0.006 (0.004, 0.008)
One or more microvascular diseases (vs. none)
0.373 (0.359, 0.387)
5.553 (5.334, 5.773)
1.553 (1.435, 1.671)
−0.017 (−0.028, −0.007)
One or more macrovascular diseases (vs. none)
−0.150 (−0.164, −0.136)
−1.482 (−1.707, −1.257)
−0.547 (−0.668, −0.426)
−0.066 (−0.077, −0.055)
Glucose-lowering medication (vs. none)
0.530 (0.513, 0.548)
NA
NA
NA
Antihypertensive medication (vs. none)
NA
3.702 (3.457, 3.947)
1.517 (1.386, 1.649)
NA
Lipid-lowering medication (vs. none)
NA
NA
NA
−0.243 (−0.255, −0.231)
Part B: Model for HbA1c: R= 0.344, R2 = 0.118, R2adj = 0.118, P <0.001; Model for SBP: R= 0.295, R2 = 0.087, R2adj = 0.087, P <0.001; Model for DBP: R= 0.272, R2 = 0.074, R2adj = 0.074, P <0.001; Model for LDL-c: R= 0.211, R2 = 0.044, R2adj = 0.044, P <0.001.
Tab.3
Glucose-lowering medication
Antihypertensive medication
Lipid-lowering medication
All three medication treatmentsa
No
Yes
No
Yes
No
Yes
No
Yes
Age (year)
66.00±8.07
66.54±8.13*
63.93±8.13
67.50±7.88*
65.80±8.18
67.95±7.77*
65.86±8.15
68.35±7.70*
Diabetes duration (year)
5.81±4.65
8.49±5.60*
7.43±5.27
8.18±5.62*
7.73±5.37
8.51±5.86*
7.65±5.38
8.99±5.89*
HbA1c (%)
6.67±1.09
7.35±1.24*
7.26±1.28
7.20±1.23*
7.23±1.26
7.19±1.21*
7.20±1.25
7.27±1.21*
<7% (%)
69.1
43.4*
47.6
49.0*
48.4
49.0#
49.4
45.8*
SBP (mmHg)
141.89±18.74
142.26±18.96#
138.02±18.50
143.97±18.81*
142.21±18.93
142.12±18.87
141.93±18.91
143.06±18.92*
DBP (mmHg)
80.87±10.04
80.05±10.09*
79.51±9.92
80.51±10.14*
80.53±10.06
79.43±10.10*
80.41±10.07
79.52±10.11*
BP (%)
<130/80 mmHg
17.1
17.6
23.8
14.8*
17.5
17.5
17.8
16.3*
<130/80 mmHg (<65 years)
20.3
20.4
26.9
16.3*
20.4
20.2
20.8
18.3*
<140/90 mmHg (≥65 years)
40.9
41.0
47.9
38.8*
40.2
42.5*
40.9
41.1
LDL-c mmol/L
3.08±0.84
2.95±0.89*
3.06±0.84
2.94±0.90*
3.04±0.84
2.80±0.96*
3.04±0.85
2.76±0.95*
<2.6 mmol/L (%)
28.6
35.3*
29.3
35.9*
29.8
44.1*
30.5
45.7*
<1.8 mmol/L (%)b
7.8
11.8*
7.7
12.0*
7.7
16.8*
8.3
17.5*
All three targetsc met (%)
4.2
3.6*
4.3
3.5*
3.3
5.0*
3.5
4.7*
All three age-stratified targetsd met (%)
7.7
6.5*
6.4
6.9*
5.8
9.3*
6.2
8.9*
Tab.4
1
International Diabetes Federation. IDF Diabetes Atlas, 9th ed. Brussels, Belgium: International Diabetes Federation. 2019. (accessed April 26, 2021)
2
XR Pan, WY Yang, GW Li, J; National Diabetes Prevention and Control Cooperative Group Liu. Prevalence of diabetes and its risk factors in China, 1994. Diabetes Care 1997; 20(11): 1664–1669 https://doi.org/10.2337/diacare.20.11.1664
pmid: 9353605
3
W Yang, J Lu, J Weng, W Jia, L Ji, J Xiao, Z Shan, J Liu, H Tian, Q Ji, D Zhu, J Ge, L Lin, L Chen, X Guo, Z Zhao, Q Li, Z Zhou, G Shan, J; China National Diabetes and Metabolic Disorders Study Group He. Prevalence of diabetes among men and women in China. N Engl J Med 2010; 362(12): 1090–1101 https://doi.org/10.1056/NEJMoa0908292
pmid: 20335585
4
L Wang, P Gao, M Zhang, Z Huang, D Zhang, Q Deng, Y Li, Z Zhao, X Qin, D Jin, M Zhou, X Tang, Y Hu, L Wang. Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013. JAMA 2017; 317(24): 2515–2523 https://doi.org/10.1001/jama.2017.7596
pmid: 28655017
5
Y Li, D Teng, X Shi, G Qin, Y Qin, H Quan, B Shi, H Sun, J Ba, B Chen, J Du, L He, X Lai, Y Li, H Chi, E Liao, C Liu, L Liu, X Tang, N Tong, G Wang, JA Zhang, Y Wang, Y Xue, L Yan, J Yang, L Yang, Y Yao, Z Ye, Q Zhang, L Zhang, J Zhu, M Zhu, G Ning, Y Mu, J Zhao, W Teng, Z Shan. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ 2020; 369: m997 https://doi.org/10.1136/bmj.m997
pmid: 32345662
6
World Health Organization. Global action plan for the prevention and control of noncommunicable diseases 2013–2020. Geneva: World Health Organization. 2013. (accessed April 26, 2021)
7
United Nations. Sustainable development goals. 2015. . (accessed April 26, 2021)
B Yuan, D Balabanova, J Gao, S Tang, Y Guo. Strengthening public health services to achieve universal health coverage in China. BMJ 2019; 365: l2358 https://doi.org/10.1136/bmj.l2358
pmid: 31227480
10
W Jia, J Weng, D Zhu, L Ji, J Lu, Z Zhou, D Zou, L Guo, Q Ji, L Chen, L Chen, J Dou, X Guo, H Kuang, L Li, Q Li, X Li, J Liu, X Ran, L Shi, G Song, X Xiao, L Yang, Z; Chinese Diabetes Society Zhao. Standards of medical care for type 2 diabetes in China 2019. Diabetes Metab Res Rev 2019; 35(6): e3158 https://doi.org/10.1002/dmrr.3158
pmid: 30908791
11
American Diabetes Association. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Medical Care in Diabetes-2021. Diabetes Care 2021; 44(Suppl 1):S40–S52 PMID: 33298415 https://doi.org/10.2337/dc21-S004
12
Cholesterol Treatment Trialists’ (CTT) Collaboration; C Baigent, L Blackwell, J Emberson, LE Holland, C Reith, N Bhala, R Peto, EH Barnes, A Keech, J Simes, R Collins. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet 2010; 376(9753): 1670–1681 https://doi.org/10.1016/S0140-6736(10)61350-5
pmid: 21067804
13
L Ji, D Hu, C Pan, J Weng, Y Huo, C Ma, Y Mu, C Hao, Q Ji, X Ran, B Su, H Zhuo, KA Fox, M Weber, D; CCMR Advisory Board; CCMR-3B STUDY Investigators Zhang. Primacy of the 3B approach to control risk factors for cardiovascular disease in type 2 diabetes patients. Am J Med 2013; 126(10): 925.e11–925.e22 https://doi.org/10.1016/j.amjmed.2013.02.035
pmid: 23810406
14
Y Ruan, QH Yan, JY Xu, QD Yang, HH Yao, R Li, Y Shi. Epidemiology of diabetes in adults aged 35 and older from Shanghai, China. Biomed Environ Sci 2016; 29(6): 408–416
pmid: 27470101
15
Y Liu, X Wu, C Cai, PY Tang, MM Coufal, Y Qian, SL Luu, EB Fisher, W Jia. Peer support in Shanghai’s Commitment to diabetes and chronic disease self-management: program development, program expansion, and policy. Transl Behav Med 2020; 10(1): 13–24 https://doi.org/10.1093/tbm/ibz194
pmid: 32011722
16
PH Scanlon, R Malhotra, RH Greenwood, SJ Aldington, C Foy, M Flatman, S Downes. Comparison of two reference standards in validating two field mydriatic digital photography as a method of screening for diabetic retinopathy. Br J Ophthalmol 2003; 87(10): 1258–1263 https://doi.org/10.1136/bjo.87.10.1258
pmid: 14507762
17
World Health Organization. Prevention of blindness from diabetes mellitus: report of a WHO consultation in Geneva, Switzerland. 2006. (accessed March 10, 2020)
18
Writing Group of 2018 Chinese Guidelines for the Management of Hypertension, Chinese Hypertension League, Chinese Society of Cardiology, Chinese Medical Doctor Association Hypertension Committee, Hypertension Branch of China International Exchange and Promotive Association for Medical and Health Care, Hypertension Branch of Chinese Geriatric Medical Association. 2018 Chinese guidelines for the management of hypertension.. Chin J Cardiovas Med 2019; 24: 24–56 https://doi.org/DOI: 10.3969/j.issn.1007-5410.2019.01.002
19
Y Bao, J Lu, C Wang, M Yang, H Li, X Zhang, J Zhu, H Lu, W Jia, K Xiang. Optimal waist circumference cutoffs for abdominal obesity in Chinese. Atherosclerosis 2008; 201(2): 378–384 https://doi.org/10.1016/j.atherosclerosis.2008.03.001
pmid: 18417137
20
TY Wong, J Sun, R Kawasaki, P Ruamviboonsuk, N Gupta, VC Lansingh, M Maia, W Mathenge, S Moreker, MMK Muqit, S Resnikoff, J Verdaguer, P Zhao, F Ferris, LP Aiello, HR Taylor. Guidelines on diabetic eye care: the International Council of Ophthalmology Recommendations for Screening, Follow-up, Referral, and Treatment Based on Resource Settings. Ophthalmology 2018; 125(10): 1608–1622 https://doi.org/10.1016/j.ophtha.2018.04.007
pmid: 29776671
21
PW Wilson, RB D’Agostino, H Parise, L Sullivan, JB Meigs. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation 2005; 112(20): 3066–3072 https://doi.org/10.1161/CIRCULATIONAHA.105.539528
pmid: 16275870
22
AM Kanaya, N Adler, HH Moffet, J Liu, D Schillinger, A Adams, AT Ahmed, AJ Karter. Heterogeneity of diabetes outcomes among asians and pacific islanders in the US: the diabetes study of northern california (DISTANCE). Diabetes Care 2011; 34(4): 930–937 https://doi.org/10.2337/dc10-1964
pmid: 21350114
23
E Selvin, MW Steffes, H Zhu, K Matsushita, L Wagenknecht, J Pankow, J Coresh, FL Brancati. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med 2010; 362(9): 800–811 https://doi.org/10.1056/NEJMoa0908359
pmid: 20200384
24
M Kosiborod, MB Gomes, A Nicolucci, S Pocock, W Rathmann, MV Shestakova, H Watada, I Shimomura, H Chen, J Cid-Ruzafa, P Fenici, N Hammar, F Surmont, F Tang, K; DISCOVER investigators Khunti. Vascular complications in patients with type 2 diabetes: prevalence and associated factors in 38 countries (the DISCOVER study program). Cardiovasc Diabetol 2018; 17(1): 150 https://doi.org/10.1186/s12933-018-0787-8
pmid: 30486889
25
A Rawshani, A Rawshani, S Franzén, B Eliasson, AM Svensson, M Miftaraj, DK McGuire, N Sattar, A Rosengren, S Gudbjörnsdottir. Mortality and cardiovascular disease in type 1 and type 2 diabetes. N Engl J Med 2017; 376(15): 1407–1418 https://doi.org/10.1056/NEJMoa1608664
pmid: 28402770
26
P Gaede, P Vedel, N Larsen, GV Jensen, HH Parving, O Pedersen. Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. N Engl J Med 2003; 348(5): 383–393 https://doi.org/10.1056/NEJMoa021778
pmid: 12556541
27
P Gaede, H Lund-Andersen, HH Parving, O Pedersen. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med 2008; 358(6): 580–591 https://doi.org/10.1056/NEJMoa0706245
pmid: 18256393
28
Å Bakke, AT Tran, I Dalen, JG Cooper, KF Løvaas, AK Jenum, TJ Berg, TV Madsen, K Nøkleby, B Gjelsvik, T Claudi, S Skeie, S Carlsen, S Sandberg, G Thue. Population, general practitioner and practice characteristics are associated with screening procedures for microvascular complications in type 2 diabetes care in Norway. Diabet Med 2019; 36(11): 1431–1443 https://doi.org/10.1111/dme.13842
pmid: 30343522
29
DH Seo, S Kang, YH Lee, JY Ha, JS Park, BW Lee, ES Kang, CW Ahn, BS Cha. Current management of type 2 diabetes mellitus in primary care clinics in Korea. Endocrinol Metab (Seoul) 2019; 34(3): 282–290 https://doi.org/10.3803/EnM.2019.34.3.282
pmid: 31565881
30
MK Ali, KM Bullard, JB Saaddine, CC Cowie, G Imperatore, EW Gregg. Achievement of goals in U.S. diabetes care, 1999−2010. N Engl J Med 2013; 368(17): 1613–1624 https://doi.org/10.1056/NEJMsa1213829
pmid: 23614587
31
MA Stone, G Charpentier, K Doggen, O Kuss, U Lindblad, C Kellner, J Nolan, A Pazderska, G Rutten, M Trento, K; GUIDANCE Study Group Khunti. Quality of care of people with type 2 diabetes in eight European countries: findings from the Guideline Adherence to Enhance Care (GUIDANCE) study. Diabetes Care 2013; 36(9): 2628–2638 https://doi.org/10.2337/dc12-1759
pmid: 23628621
32
AOY Luk, EMT Hui, MC Sin, CY Yeung, WS Chow, AYY Ho, HF Hung, E Kan, CM Ng, WY So, CK Yeung, KS Chan, KW Chan, PF Chan, SC Siu, SC Tiu, VTF Yeung, JCN Chan, FWK Chan, C Cheung, NT Cheung, ST Ho, KSL Lam, LWL Yu, D Chao, IT Lau. Declining trends of cardiovascular-renal complications and mortality in type 2 diabetes: the Hong Kong Diabetes Database. Diabetes Care 2017; 40(7): 928–935 https://doi.org/10.2337/dc16-2354
pmid: 28490423
33
S De Cosmo, F Viazzi, A Pacilli, C Giorda, A Ceriello, S Gentile, G Russo, MC Rossi, A Nicolucci, P Guida, P Di Bartolo, R; AMD-Annals Study Group Pontremoli. Achievement of therapeutic targets in patients with diabetes and chronic kidney disease: insights from the Associazione Medici Diabetologi Annals initiative. Nephrol Dial Transplant 2015; 30(9): 1526–1533 https://doi.org/10.1093/ndt/gfv101
pmid: 25883195
34
D Kar, C Gillies, F Zaccardi, D Webb, S Seidu, S Tesfaye, M Davies, K Khunti. Relationship of cardiometabolic parameters in non-smokers, current smokers, and quitters in diabetes: a systematic review and meta-analysis. Cardiovasc Diabetol 2016; 15(1): 158 https://doi.org/10.1186/s12933-016-0475-5
pmid: 27881170
35
MA Alomari, OF Khabour, KH Alzoubi, DM Shqair, T Eissenberg. Central and peripheral cardiovascular changes immediately after waterpipe smoking. Inhal Toxicol 2014; 26(10): 579–587 https://doi.org/10.3109/08958378.2014.936572
pmid: 25144473
36
PE Cryer, MW Haymond, JV Santiago, SD Shah. Norepinephrine and epinephrine release and adrenergic mediation of smoking-associated hemodynamic and metabolic events. N Engl J Med 1976; 295(11): 573–577 https://doi.org/10.1056/NEJM197609092951101
pmid: 950972
37
K Narkiewicz, PJ van de Borne, M Hausberg, RL Cooley, MD Winniford, DE Davison, VK Somers. Cigarette smoking increases sympathetic outflow in humans. Circulation 1998; 98(6): 528–534 https://doi.org/10.1161/01.CIR.98.6.528
pmid: 9714109
38
B Waeber, MD Schaller, J Nussberger, JP Bussien, KG Hofbauer, HR Brunner. Skin blood flow and cigarette smoking: the role of vasopressin. Clin Exp Hypertens A 1984; 6(10-11): 2003–2006 https://doi.org/10.3109/10641968409046117
pmid: 6532586
39
G Li, H Wang, K Wang, W Wang, F Dong, Y Qian, H Gong, C Hui, G Xu, Y Li, L Pan, B Zhang, G Shan. The association between smoking and blood pressure in men: a cross-sectional study. BMC Public Health 2017; 17(1): 797 https://doi.org/10.1186/s12889-017-4802-x
pmid: 29017534
40
T Gordon, WB Kannel, TR Dawber, D McGee. Changes associated with quitting cigarette smoking: the Framingham Study. Am Heart J 1975; 90(3): 322–328 https://doi.org/10.1016/0002-8703(75)90320-8
pmid: 1163424
41
MS Green, G Harari. A prospective study of the effects of changes in smoking habits on blood count, serum lipids and lipoproteins, body weight and blood pressure in occupationally active men. The Israeli CORDIS Study. J Clin Epidemiol 1995; 48(9): 1159–1166 https://doi.org/10.1016/0895-4356(95)00005-O
pmid: 7636518
DH Lee, MH Ha, JR Kim, DR Jacobs Jr. Effects of smoking cessation on changes in blood pressure and incidence of hypertension: a 4-year follow-up study. Hypertension 2001; 37(2): 194–198 https://doi.org/10.1161/01.HYP.37.2.194
pmid: 11230270
44
A Rawshani, A Rawshani, S Franzén, N Sattar, B Eliasson, AM Svensson, B Zethelius, M Miftaraj, DK McGuire, A Rosengren, S Gudbjörnsdottir. Risk factors, mortality, and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med 2018; 379(7): 633–644 https://doi.org/10.1056/NEJMoa1800256
pmid: 30110583
45
RH Fagard. Smoking amplifies cardiovascular risk in patients with hypertension and diabetes. Diabetes Care 2009; 32 (Suppl 2): S429–S431 PMID: 19875595 https://doi.org/10.2337/dc09-S354