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Epidemiology/Health Services Research

The Association Between Poor Glycemic Control and Health Care Costs in People With Diabetes: A Population-Based Study

  1. Manel Mata-Cases1,2,3,
  2. Beatriz Rodríguez-Sánchez4,
  3. Dídac Mauricio2,3,5⇑,
  4. Jordi Real2,3,
  5. Bogdan Vlacho2,
  6. Josep Franch-Nadal2,3,6⇑ and
  7. Juan Oliva4
  1. 1Centre d’Atenció Primària La Mina, Gerència Territorial de Barcelona, Institut Català de la Salut, Barcelona, Spain
  2. 2DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain
  3. 3CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain
  4. 4Department of Economic Analysis and Finance, Faculty of Law and Social Sciences, University of Castilla-La Mancha, Toledo, Spain
  5. 5Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
  6. 6Centre d’Atenció Primària Raval Sud, Gerència Territorial de Barcelona, Institut Català de la Salut, Barcelona, Spain
  1. Corresponding authors: Josep Franch-Nadal, josep.franch{at}gmail.com, and Didac Mauricio, didacmauricio{at}gmail.com
Diabetes Care 2020 Apr; 43(4): 751-758. https://doi.org/10.2337/dc19-0573
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Tables

  • Table 1

    Mean per patient annual direct medical costs (in 2011 €)

    Patients with HbA1c (N = 100,391)HbA1c <7% (N = 54,395)7% ≥ HbA1c < 8% (N = 24,994)8% ≥ HbA1c < 10% (N = 16,286)HbA1c ≥10% (N = 4,716)Patients without HbA1c (N = 26,419)
    Total costs3,038.76 (6,580.76)2,842.95 (6,233.06)3,102.32 (7,292.54)3,504.30 (6,548.69)3,352.77 (6,520.38)3,381.14 (12,049.61)
    Consultations with GP607.52 (553.98)585.24 (540.96)620.52 (549.74)654.01 (581.80)635.16 (610.29)460.94 (548.53)
    Hospitalization1,203.58 (6,082.86)1,131.46 (5,705.22)1,197.99 (6,865.55)1,396.55 (6,041.79)1,398.63 (6,012.60)1,681.00 (11,214)
    Referrals to specialist care123.59 (164.85)119.45 (160.32)126.83 (164.75)131.76 (177.93)125.88 (168.44)81.58 (142.35)
    Tests14.72 (39.39)14.44 (38.87)15.66 (40.85)14.45 (38.68)13.94 (39.48)9.76 (33.82)
    Self-monitoring test strips49.95 (11.72)49.89 (11.63)50.23 (11.90)49.85 (11.76)49.44 (11.64)50.46 (12.03)
    Medications930.07 (986.09)825.59 (938.43)989.08 (999.08)1,154.61 (1,052.55)1,046.94 (1,046.14)905.79 (1,276.16)
    Dialysis34.16 (949.78)43.44 (1,076.27)23.53 (773.46)25.90 (822.35)11.91 (578.20)147.49 (1,982.07)
    • Data are mean (SD).

    • GP, general practitioner.

  • Table 2

    Results from the GLM regression with γ distribution and identity link on total costs

    VariablesModel 1Model 2
    Diabetes duration categories (reference: 0–2 years)
     2–5 years162.6*** (44.74)127.9*** (41.71)
     5–10 years520.2*** (48.19)347.9*** (43.78)
     >10 years1,039*** (66.19)738.7*** (60.68)
    HbA1c categories (reference: HbA1c <7%)
     7% ≥ HbA1c < 8%147.8*** (42.21)127.5*** (39.11)
     8% ≥ HbA1c < 10%527.0*** (58.04)395.1*** (52.64)
     HbA1c ≥10%582.3*** (95.64)428.3*** (86.16)
    Complications (reference: no complications)
     Macrovascular complications1,516*** (97.51)
     Microvascular complications844.1*** (69.74)
     Both types2,091*** (83.61)
    Observations (n)a90,87490,874
    AIC17.94717.892
    BIC−1,001,518−1,006,790
    Log-likelihood−866,376.45−863,723.18
    • Cost in 2011 €, with SEs given in parentheses. Model 1 adjusted for age (in categories), sex, BMI (in categories), hypertension and hypercholesterolemia, and smoking habits. Model 2 adds to model 1 whether the individual has any micro- or macrovascular complications or both. Reference categories: diabetes duration of <2 years, HbA1c <7% (models 1 and 2), and no vascular complications (model 2).

    • AIC, Akaike information criterion; BIC, Bayesian information criterion.

    • ↵*** P < 0.01.

    • ↵a Only individuals with complete data for all lifestyle factors (and any other variable included in the regressions) were included in the analyses (i.e., 90,874 patients in both models 1 and 2 out of 100,391 patients from the whole patient cohort).

  • Table 3

    Results from the two-part model on hospitalization costs

    VariablesFirst-part probit of two-part model, model 1†Second-part GLM with γ distribution and identity link of two-part model, model 1‡First-part probit of two-part model, model 2†Second-part GLM with γ distribution and identity link of two-part model, model 2‡
    Diabetes duration categories (reference: 0–2 years)
     2–5 years0.0529*** (0.0177)147.6 (369.3)0.0462*** (0.0178)106.1 (362.0)
     5–10 years0.100*** (0.0161)773.4** (339.1)0.0791*** (0.0162)568.3* (333.2)
     >10 years0.191*** (0.0175)1,215*** (373.7)0.151*** (0.0177)910.9** (371.1)
    HbA1c categories (reference: HbA1c <7%)
     7% ≥ HbA1c < 8%0.0103 (0.0124)109.9 (268.4)−0.000905 (0.0124)87.46 (262.6)
     8% ≥ HbA1c < 10%0.0793*** (0.0144)927.5*** (330.3)0.0500*** (0.0146)811.1** (323.6)
     HbA1c ≥10%0.169*** (0.0243)843.6 (552.1)0.126*** (0.0246)636.8 (541.8)
    Complications (reference: no complications)
     Macrovascular complications0.297*** (0.0173)1,733*** (388.8)
     Microvascular complications0.201*** (0.0162)974.5*** (357.5)
     Both types0.358*** (0.0138)2,323*** (320.1)
    Constant−1.688*** (0.0369)4,521*** (693.5)−1.677*** (0.0370)4,404*** (690.8)
    Observations (n)90,87413,83790,87413,837
    AIC20.0620.04
    BIC−117,709.7−117,854.6
    Log-likelihood−38,835.91−138,739.50−38,424.52−138,652.77
    • Model 1 adjusted for age (in categories), sex, BMI (in categories), hypertension and hypercholesterolemia, and smoking habits. Model 2 adds to model 1 whether the individual has any micro- or macrovascular complications or both. Reference categories: diabetes duration of <2 years, HbA1c <7% (models 1 and 2), and no vascular complications (model 2).

    • AIC, Akaike information criterion; BIC, Bayesian information criterion.

    • ↵† The coefficient denotes probability (e.g., 0.0529 has to be interpreted as a 5.29% increase in the probability of being admitted to hospital). SEs are given in parentheses.

    • ↵‡ Costs in 2011 €, with SEs given in parentheses.

    • ↵* P < 0.1;

    • ↵** P < 0.05;

    • ↵*** P < 0.01.

  • Table 4

    Results from the GLM regression with γ distribution and log link on treatment costs

    VariablesModel 1†Model 2†
    Diabetes duration categories (reference: 0–2 years)
     2–5 years0.148*** (0.0122)0.140*** (0.0122)
     5–10 years0.313*** (0.0112)0.284*** (0.0112)
     >10 years0.430*** (0.0125)0.375*** (0.0126)
    HbA1c categories (reference: HbA1c <7%)
     7% ≥ HbA1c < 8%0.132*** (0.00907)0.119*** (0.00908)
     8% ≥ HbA1c < 10%0.308*** (0.0107)0.275*** (0.0108)
     HbA1c ≥10%0.336*** (0.0182)0.281*** (0.0183)
    Complications (reference: no complications)
     Macrovascular complications0.384*** (0.0135)
     Microvascular complications0.270*** (0.0121)
     Both types0.552*** (0.0107)
    Observations (n)90,87490,874
    AIC15.5615.52
    BIC−1,012,478−1,016,589
    Log-likelihood−751,214.62−749,055.06
    • Model 1 adjusted for age (in categories), sex, BMI (in categories), hypertension and hypercholesterolemia, and smoking habits. Model 2 adds to model 1 whether the individual has any micro- or macrovascular complications or both. Reference categories: diabetes duration of <2 years, HbA1c <7% (models 1 and 2), and no vascular complications (model 2).

    • AIC, Akaike information criterion; BIC, Bayesian information criterion.

    • ↵† The coefficient denotes probability (e.g., 0.148 has to be interpreted as a 14.8% increase in treatment costs). SEs are given in parentheses.

    • ↵*** P < 0.01.

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The Association Between Poor Glycemic Control and Health Care Costs in People With Diabetes: A Population-Based Study
Manel Mata-Cases, Beatriz Rodríguez-Sánchez, Dídac Mauricio, Jordi Real, Bogdan Vlacho, Josep Franch-Nadal, Juan Oliva
Diabetes Care Apr 2020, 43 (4) 751-758; DOI: 10.2337/dc19-0573

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The Association Between Poor Glycemic Control and Health Care Costs in People With Diabetes: A Population-Based Study
Manel Mata-Cases, Beatriz Rodríguez-Sánchez, Dídac Mauricio, Jordi Real, Bogdan Vlacho, Josep Franch-Nadal, Juan Oliva
Diabetes Care Apr 2020, 43 (4) 751-758; DOI: 10.2337/dc19-0573
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