Treatment Pattern of Type 2 Diabetes Differs in Two German Regions and with Patients' Socioeconomic Position

Background Diabetes treatment may differ by region and patients' socioeconomic position. This may be particularly true for newer drugs. However, data are highly limited. Methods We examined pooled individual data of two population-based German studies, KORA F4 (Cooperative Health Research in the Region of Augsburg, south), and the HNR (Heinz Nixdorf Recall study, west) both carried out 2006 to 2008. To ascertain the association between region and educational level with anti-hyperglycemic medication we fitted poisson regression models with robust error variance for any and newer anti-hyperglycemic medication, adjusting for age, sex, diabetes duration, BMI, cardiovascular disease, lifestyle, and insurance status. Results The examined sample comprised 662 participants with self-reported type 2 diabetes (KORA F4: 83 women, 111 men; HNR: 183 women, 285 men). The probability to receive any anti-hyperglycemic drug as well as to be treated with newer anti-hyperglycemic drugs such as insulin analogues, thiazolidinediones, or glinides was significantly increased in southern compared to western Germany (prevalence ratio (PR); 95% CI: 1.12; 1.02–1.22, 1.52;1.10–2.11 respectively). Individuals with lower educational level tended to receive anti-hyperglycemic drugs more likely than their better educated counterparts (PR; 95% CI univariable: 1.10; 0.99–1.22; fully adjusted: 1.10; 0.98–1.23). In contrast, lower education was associated with a lower estimated probability to receive newer drugs among those with any anti-hyperglycemic drugs (PR low vs. high education: 0.66; 0.48–0.91; fully adjusted: 0.68; 0.47–0.996). Conclusions We found regional and individual social disparities in overall and newer anti-hyperglycemic medication which were not explained by other confounders. Further research is needed.

[1]  M. Dorais,et al.  Impact of the socioeconomic status on the probability of receiving formulary restricted thiazolidine (TZDs). , 2008, The Canadian journal of clinical pharmacology = Journal canadien de pharmacologie clinique.

[2]  Jack Hadley,et al.  Clarifying sources of geographic differences in Medicare spending. , 2010, The New England journal of medicine.

[3]  S. Demarest,et al.  Comparative appraisal of educational inequalities in overweight and obesity among adults in 19 European countries. , 2010, International journal of epidemiology.

[4]  S. Moebus,et al.  Baseline recruitment and analyses of nonresponse of the Heinz Nixdorf recall study: Identifiability of phone numbers as the major determinant of response , 2005, European Journal of Epidemiology.

[5]  L. Kraus,et al.  Measuring alcohol consumption and alcohol-related problems: comparison of responses from self-administered questionnaires and telephone interviews. , 2001, Addiction.

[6]  U. Gerdtham,et al.  Socioeconomic inequalities in drug utilization for Sweden: evidence from linked survey and register data. , 2013, Social science & medicine.

[7]  Québec Régie de l'assurance-maladie Liste de médicaments , 1997 .

[8]  H. Löwel,et al.  High prevalence of undiagnosed diabetes mellitus in Southern Germany: Target populations for efficient screening. The KORA survey 2000 , 2003, Diabetologia.

[9]  W. Ghali,et al.  Clinical and medication profiles stratified by household income in patients referred for diabetes care , 2007, Cardiovascular diabetology.

[10]  D. Consonni,et al.  Relationship between prevalence rate ratios and odds ratios in cross-sectional studies. , 1997, International journal of epidemiology.

[11]  L. Sundmacher,et al.  Understanding the gap between need and utilization in outpatient care--the effect of supply-side determinants on regional inequities. , 2014, Health policy.

[12]  A. Name Gesundheitsberichterstattung des Bundes , 2010 .

[13]  J. Mackenbach,et al.  Socioeconomic inequalities in morbidity and mortality in western Europe , 1997, The Lancet.

[14]  D. Gude Red carpeting the newer antidiabetics , 2012, Journal of pharmacology & pharmacotherapeutics.

[15]  R. Holle,et al.  Regional differences in the prevalence of known Type 2 diabetes mellitus in 45–74 years old individuals: Results from six population‐based studies in Germany (DIAB‐CORE Consortium) , 2012, Diabetic medicine : a journal of the British Diabetic Association.

[16]  W. Rathmann,et al.  Trends in hospitalization and sociodemographic factors in diabetic and nondiabetic populations in Germany: national health survey, 1990-1992 and 1998. , 2006, American journal of public health.

[17]  G. Zou,et al.  A modified poisson regression approach to prospective studies with binary data. , 2004, American journal of epidemiology.

[18]  Paul Shekelle,et al.  Oral Pharmacologic Treatment of Type 2 Diabetes Mellitus: A Clinical Practice Guideline From the American College of Physicians , 2012, Annals of Internal Medicine.

[19]  W. Rathmann,et al.  Uric Acid Is More Strongly Associated with Impaired Glucose Regulation in Women than in Men from the General Population: The KORA F4-Study , 2012, PloS one.

[20]  A. Mielck,et al.  Association between forgone care and household income among the elderly in five Western European countries – analyses based on survey data from the SHARE-study , 2009, BMC health services research.

[21]  S. Inzucchi,et al.  Management of hyperglycemia in type 2 diabetes: a patient-centered approach. Position Statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care 2012;35:1364–1379 , 2013, Diabetes Care.

[22]  W. Maier,et al.  Variation in antibiotic prescriptions: is area deprivation an explanation? Analysis of 1.2 million children in Germany , 2013, Infection.

[23]  C. Clar,et al.  Newer agents for blood glucose control in type 2 diabetes: systematic review and economic evaluation. , 2010, Health technology assessment.

[24]  C. Clar,et al.  Self-monitoring of blood glucose in type 2 diabetes: systematic review. , 2010, Health technology assessment.

[25]  Tom Rosenthal,et al.  Geographic variation in health care. , 2012, Annual review of medicine.

[26]  A. Kluttig,et al.  The impact of regional deprivation and individual socio‐economic status on the prevalence of Type 2 diabetes in Germany. A pooled analysis of five population‐based studies , 2013, Diabetic medicine : a journal of the British Diabetic Association.

[27]  S. Moebus,et al.  Association of impaired fasting glucose and coronary artery calcification as a marker of subclinical atherosclerosis in a population-based cohort—results of the Heinz Nixdorf Recall Study , 2008, Diabetologia.

[29]  W. Rathmann,et al.  Prevalence of undiagnosed diabetes and impaired glucose regulation in 35–59‐year‐old individuals in Southern Germany: the KORA F4 Study , 2010, Diabetic medicine : a journal of the British Diabetic Association.

[30]  F. Oduncu,et al.  Priority-setting, rationing and cost-effectiveness in the German health care system , 2013, Medicine, health care, and philosophy.

[31]  K. Jöckel,et al.  The mediating effect of social relationships on the association between socioeconomic status and subjective health – results from the Heinz Nixdorf Recall cohort study , 2012, BMC Public Health.

[32]  R. Busse Disease management programs in Germany's statutory health insurance system. , 2004, Health affairs.

[33]  J. Lüdemann,et al.  Regional disparities of hypertension prevalence and management within Germany , 2006, Journal of hypertension.