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Research ArticleORIGINAL RESEARCH

Changes in Direct Medical Cost and Medications for Managing Diabetes in Beijing, China, 2016 to 2018: Electronic Insurance Data Analysis

Lixin Guo, Jie Zheng, Qi Pan, Qun Zhang, Yan Zhou, Weihao Wang, Lina Zhang, Solomon Tesfaye and Jie Zhang
The Annals of Family Medicine July 2021, 19 (4) 332-341; DOI: https://doi.org/10.1370/afm.2686
Lixin Guo
1Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
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Jie Zheng
2Beijing Municipal Medical Insurance Bureau, Beijing, PR China
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Qi Pan
1Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
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Qun Zhang
3Department of Medical Insurance, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
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Yan Zhou
1Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
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Weihao Wang
1Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
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Lina Zhang
1Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
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Solomon Tesfaye
4Diabetes Research Unit, Sheffield Teaching Hospitals, Sheffield, United Kingdom
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Jie Zhang
1Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
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    Figure 1.

    Changes in use of non-antiglycemic drugs (A) and changes in use of antiglycemic drugs (B).

    AGI = α-glucosidase inhibitor; ACE = angiotensin converting enzyme; ARB = angiotensin receptor blocker; DPP-4i = dipeptidyl peptidase-4 inhibitor.

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    Table 1.

    Changes in Medications, Comorbidities, and Costs, 2016-2018

    Outcome MeasuredMean for Each YearChange from 2016 to 2017 No. (%)Change from 2016 to 2018 No. (%)
    Mean for 2016-2018201620172018
    Number of medications          3.64          3.83          3.63          3.48          -0.20 (-5.2)          -0.34 (-9.0)
    Antiglycemic drugs          1.57          1.61          1.56          1.55          -0.05 (-3.35)          -0.06 (-3.6)
    Non-antiglycemic drugs          2.07          2.22          2.07          1.93          -0.15 (-7.0)          -0.29 (-12.9)
    Number of comorbidities          4.74          4.74          4.80          4.69          0.06 (1.2)          -0.05 (-1.1)
    Glycemic diseases          1.25          1.26          1.25          1.25          -0.01 (-0.6)          -0.01 (-0.8)
    Non-glycemic diseases          3.49          3.49          3.55          3.45          0.06 (1.8)          -0.04 (-1.2)
    Total annual drug cost, ¥6,0336,8685,7015,605-1,167 (-17.0)-1,263 (-18.4)
    Antiglycemic drugs3,3873,7293,2213,240-508 (-13.6)-489 (-13.1)
    Non-antiglycemic drugs2,6463,1392,4802,365-659 (-21.0)-774 (-24.7)
    Total annual cost/drug, ¥1,5911,7181,5111,553-207 (-12.1)-165 (-9.6)
    Cost/antiglycemic drug/)2,0462,1921,9681,986-224 (-10.2)-207 (-9.4)
    Cost/non-antiglycemic drug1,1911,3141,1171,148-198 (-15.0)-166 (-12.6)
    • View popup
    Table 2.

    Number and Cost of Medications in Stratified Patient Groups

    Patient GroupParameterNo. of PatientsMeanSDAdjusted MeanDifference Compared With Reference
    Age, y
    ≥85No. of medications74,064        3.74        2.33        3.80      Ref
    Cost, ¥71,9176,0074,7776,333      Ref
    15-44No. of medications234,195        2.66        2.05        3.71      -0.09
    Cost, ¥210,5714,66041647,6051,272
    45-64No. of medications1,490,660        3.62        2.31        3.90        0.12
    Cost, ¥1,431,6556,0414,9047,155    822
    65-84No. of medications1,054,117        3.88        2.39        3.89        0.09
    Cost, ¥1,023,2086,30749736,732    398
    Sex
    MaleNo. of medications1,464,378        3.70        2.34        3.95      Ref
    Cost, ¥1,415,4136,0694,8887,327      Ref
    FemaleNo. of medications1,388,658        3.57        2.34        3.71    -0.24
    Cost, ¥1,321,9385,99548956,630  -697
    Hypertension
    AbsentNo. of medications1,096,600        2.10        1.54        2.90      Ref
    Present1,756,436        4.60        2.24        5.04        2.14
    AbsentCost, ¥)1,003,6353,8663,4174,034      Ref
    Present1,733,7167,2885,1708,226  4,192
    Coronary heart disease
    AbsentNo. of medications1,442,472        2.62        1.86        3.36      Ref
    Present1,410,564        4.68        2.32        4.36        1.00
    AbsentCost, ¥1,345,0844,4133,7785,330      Ref
    Present1,392,2677,5995,3198,045  2,715
    Dyslipidemia
    AbsentNo. of medications1,524,133        2.61        1.83        3.22      Ref
    Present1,328,903        4.82        2.31        4.55        1.32
    AbsentCost, ¥1,427,2594,3823,7144,961      Ref
    Present1,310,0927,8335,3638,548  3,588
    Stroke
    AbsentNo. of medications2,248,774        3.40        2.26        3.71      Ref
    Present604,262        4.53        2.40        3.95        0.24
    AbsentCost, ¥2,143,1275,6124,6306,805      Ref
    Present594,2247,5545,4757,455    650
    Chronic lung disease
    AbsentNo. of medications2,324,751        3.52        2.31        3.71      Ref
    Present528,285        4.15        2.40        3.95        0.24
    AbsentCost, ¥2,217,9145,8384,7916,743      Ref
    Present519,4376,8705,2207,888  1,145
    Osteoporosis
    AbsentNo. of medications2,446,815        3.53        2.31        3.72      Ref
    Present406,221        4.33        2.37        3.94        0.23
    AbsentCost, ¥2,336,9775,8064,7656,748      Ref
    Present400,3747,3625,3868,117  1,369
    Diabetic peripheral neuropathy
    AbsentNo. of medications2,477,820        3.51        2.29        3.69      Ref
    Present375,216        4.47        2.48        3.97        0.28
    AbsentCost, ¥2,370,1325,8014,7556,818      Ref
    Present367,2197,5305,4647,821  1,003
    Diabetic nephropathy
    AbsentNo. of medications2,732,287        3.60        2.32        3.68      Ref
    Present120,749        4.56        2.59        3.98        0.3
    AbsentCost, ¥2,619,2985,9394,8176,924      Ref
    Present118,0538,1225,9518,034  1,110
    Diabetic neuropathy
    AbsentNo. of medications2,726,009        3.58        2.31        3.55      Ref
    Present127,027        4.84        2.59        4.13        0.57
    AbsentCost, ¥2,612,7045,9314,8256,866      Ref
    Present124,6478,1855,7148,986  2,120
    No. of comorbidities
    0No. of medications488,070        1.44        1.10        1.71      Ref
    Cost, ¥421,6662,8892,6982,358      Ref
    1No. of medications556,656        2.56        1.54        3.04        1.33
    Cost, ¥530,6384,1323,3463,564  1,205
    2No. of medications623,184        3.58        1.86        4.24        2.53
    Cost, ¥609,1405,5614,0555,384  3,026
    3No. of medications665,476        4.75        2.18        5.61        3.89
    Cost, ¥658,6097,5265,0258,136  5,777
    4No. of medications380,887        5.37        2.24        6.30        4.59
    Cost, ¥378,9368,8615,54012,293  9,935
    5No. of medications120,907        5.85        2.34        6.80        5.09
    Cost, ¥120,5519,9906,00218,57516,216
    6No. of medications17,856        6.30        2.49        7.24        5.53
    Cost, ¥17,81111,1436,68928,06625,708
    No. of complications
    0No. of medications2,283,312        3.44        2.25        3.17      Ref
    Cost, ¥2,180,8775,6594,6536,576      Ref
    1No. of medications447,025        4.22        2.45        3.48        0.32
    Cost, ¥434,6477,0965,3117,8771,302
    2No. of medications104,086        5.07        2.51        3.96        0.79
    Cost, ¥103,2408,7205,7809,4362,861
    3No. of medications17,298        5.73        2.51        4.24        1.07
    Cost, ¥17,27310,0696,14311,3044,728
    • Ref = reference.

    • Note: Adjusted variables include age, sex, hypertension, coronary heart disease, dyslipidemia, stroke, chronic lung disease, osteoporosis, diabetic peripheral neuropathy, diabetic nephropathy, diabetic neuropathy, comorbidity, complication and a variable for the sampling time frame (2016, 2017, and 2018). Values of all regression coefficients above were significant at P <.001.

    • View popup
    Table 3.

    Insulin Use Over 3-Year Period

    Type of InsulinUsed2016 (%)2017 (%)2018 (%)χ2 Valuea
    Fast-actingNo91.889.287.1
    Yes8.210.812.92,790.6
    Short-actingNo87.288.389.2
    Yes12.811.710.8480.1
    Intermediate-actingNo84.786.087.2
    Yes15.314.012.8597.8
    Long-actingNo79.274.870.0
    Yes20.825.230.05,226.4
    PremixedNo39.543.348.0
    Yes60.556.752.03,453.6
    • ↵a All values significant at P <.001.

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  • The Article in Brief

    Changes in Direct Medical Cost and Medications for Managing Diabetes in Beijing, China, 2016 to 2018: Electronic Insurance Data Analysis

    Lixin Guo , and colleagues

    Background Approximately 642 million people are expected to be diagnosed with diabetes by 2040, with Asians representing more than 55% of cases. Researchers conducted the first large-scale study since the implementation of medical insurance in China to evaluate the complexity and cost of drug therapy for Asian people with diabetes. They used available treatment records from Beijing’s medical insurance bureau from 2016 to 2018 and looked at five outcomes, including: 1) quantity of outpatient medications, 2) number of co-morbidities diagnosed, 3) estimated annual cost of the outpatient drug regimen, 4) drug therapy strategies for diabetic patients and 5) the most commonly prescribed drug class in the patient cohort.

    What This Study Found Over three years, there was a gradual decrease of almost 9% decrease in the average quantity of diabetes medications. The mean usage of both anti-glycemic and non-antiglycemic drugs decreased by 3.6% and 12.8%, respectively. Researchers found an 18.39% decrease in estimated annual medication costs. The decrease in medical costs could be due to rational use of medications, leading to a decrease in the usage of medications over the three years. This is especially true for what the authors call the needless use of most types of insulin. This could have indirectly led to decreased costs.

    Implications

    • Therapeutic drugs should be selected with caution according to the diet and lifestyle of each individual.
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The Annals of Family Medicine: 19 (4)
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Changes in Direct Medical Cost and Medications for Managing Diabetes in Beijing, China, 2016 to 2018: Electronic Insurance Data Analysis
Lixin Guo, Jie Zheng, Qi Pan, Qun Zhang, Yan Zhou, Weihao Wang, Lina Zhang, Solomon Tesfaye, Jie Zhang
The Annals of Family Medicine Jul 2021, 19 (4) 332-341; DOI: 10.1370/afm.2686

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Changes in Direct Medical Cost and Medications for Managing Diabetes in Beijing, China, 2016 to 2018: Electronic Insurance Data Analysis
Lixin Guo, Jie Zheng, Qi Pan, Qun Zhang, Yan Zhou, Weihao Wang, Lina Zhang, Solomon Tesfaye, Jie Zhang
The Annals of Family Medicine Jul 2021, 19 (4) 332-341; DOI: 10.1370/afm.2686
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