Patients with type 2 diabetes benefit from primary care-based disease management: a propensity score matched survival time analysis

The burden of type 2 diabetes mellitus in states of the European Union and United Kingdom at the national and subnational levels: A systematic review

Type 2 diabetes mellitus (T2D) is a highly prevalent disease worldwide, with an equally increased expenditure associated with it. We aimed to longitudinally evaluate the epidemiologic and economic burden of T2D in the current member states of the European Union and the United Kingdom (EU-28). The present systematic review is registered on PROSPERO (CRD42020219894), and it followed the PRISMA guidelines. Eligibility criteria comprised original observational studies in English reporting economic and epidemiological data for T2D in member states of the EU-28. Methodological assessment was performed with the Joanna Briggs Institute (JBI) Critical Appraisal Tools. The search retrieved 2253 titles and abstracts. After study selection, 41 studies were included in the epidemiologic analysis and 25 in the economic analysis. Economic and epidemiologic studies covered only 15 member states with reported data between 1970 and 2017, resulting in an incomplete picture. For children in particular, limited information is available. The prevalence, incidence, mortality, and expenditure of the T2D population have increased across the decades in member states. Therefore, policies should aim to prevent or reduce the burden of T2D in the EU and consequently mitigate the expenditure on T2D.

Haefeli W, M. Seidling H. Mortality and Hospitalizations Among Patients Enrolled in an Interprofessional Medication Management Program

BACKGROUND

Measures for improving medication safety in outpatient care are often complex and involve medication reviews. Over the period 2016-2022 (with a preceeding one-year pilot phase), an interprofessional medication management program- the Medicines Initiative Saxony-Thuringia (Arzneimittelinitiative Sachsen-Thüringen, ARMIN)-was implemented in two German federal states. More than 5000 patients received a medication review by the end of 2019 by a team composed of physicians and pharmacists and were provided with joint, continuous care thereafter.

METHODS

In the framework of a retrospectively registered cohort study, the mortality and hospitalizations of this population (5033 patients) were studied using routine data from a statutory health insurer (observation period 2015-2019) and compared with those of a control group (10 039 patients) determined from the routine data by propensity score matching. Mortality was compared by survival analysis (Cox regression), and hospitalization rates were compared in terms of event probabilities within two years of enrollment in the medication management program. Robustness was tested in multiple sensitivity analyses.

RESULTS

Over the observation period, 9.3% of the ARMIN participants and 12.9% of persons in the control group died (hazard ratio of the adjusted Cox regression, 0.84; 95% confidence interval [0.76; 0.94], P = 0.001). In the first two years after inclusion, the ARMIN participants were hospitalized just as often as the persons in the control group (52.4% versus 53.4%; odds ratio from the adjusted model, 1.04 [0.96; 1.11], P = 0.347). The effects were consistent in sensitivity analyses.

CONCLUSION

In this retrospective cohort study, participation in the ARMIN program was associated with a lower risk of death. Exploratory analyses provide clues to the potential origin of this association.

Patients with coronary artery disease after acute myocardial infarction: effects of continuous enrollment in a structured Disease Management Program on adherence to guideline-recommended medication, health care expenditures, and survival

OBJECTIVE

Acute myocardial infarction (AMI) carries increased risk of mortality and excess costs. Disease Management Programs (DMPs) providing guideline-recommended care for chronic diseases seem an intuitively appealing way to enhance health outcomes for patients with chronic conditions such as AMI. The aim of the study is to compare adherence to guideline-recommended medication, health care expenditures and survival of patients enrolled and not enrolled in the German DMP for coronary artery disease (CAD) after an AMI from the perspective of a third-party payer over a follow-up period of 3 years.

METHODS

The study is based on routinely collected data from a regional statutory health insurance fund (n = 15,360). A propensity score matching with caliper method was conducted. Afterwards guideline-recommended medication, health care expenditures, and survival between patients enrolled and not enrolled in the DMP were compared with generalized linear and Cox proportional hazard models.

RESULTS

The propensity score matching resulted in 3870 pairs of AMI patients previously and continuously enrolled and not enrolled in the DMP. In the 3-year follow-up period the proportion of days covered rates for ACE-inhibitors (60.95% vs. 58.92%), anti-platelet agents (74.20% vs. 70.66%), statins (54.18% vs. 52.13%), and β-blockers (61.95% vs. 52.64%) were higher in the DMP group. Besides that, DMP participants induced lower health care expenditures per day (€58.24 vs. €72.72) and had a significantly lower risk of death (HR: 0.757).

CONCLUSION

Previous and continuous enrollment in the DMP CAD for patients after AMI is a promising strategy as it enhances guideline-recommended medication, reduces health care expenditures and the risk of death.

Health economic evaluations based on routine data in Germany: a systematic review

Background

Improved data access and funding for health services research have promoted the application of routine data to measure costs and effects of interventions within the German health care system. Following the trend towards real world evidence, this review aims to evaluate the status and quality of health economic evaluations based on routine data in Germany.

Methods

To identify relevant economic evaluations, a systematic literature search in the databases PubMed and EMBASE was complemented by a manual search. The included studies had to be full economic evaluations using German routine data to measure either costs, effects, or both. Study characteristics were assessed with a structured template. Additionally, the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) were used to measure quality of reporting.

Results

In total, 912 records were identified and 35 studies were included in the further analysis. The majority of these studies was published in the past 5 years (n = 27, 77.1%) and used insurance claims data as a source of routine data (n = 30, 85.7%). The most common method used for handling selection bias was propensity score matching. With regard to the reporting quality, 42.9% (n = 15) of the studies satisfied at least 80% of the criteria on the CHEERS checklist.

Conclusions

This review confirms that routine data has become an increasingly common data source for health economic evaluations in Germany. While most studies addressed the application of routine data, this analysis reveals deficits in considering methodological particularities and in reporting quality of economic evaluations based on routine data. Nevertheless, this review demonstrates the overall potential of routine data for economic evaluations.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3080-3) contains supplementary material, which is available to authorized users.

No selection, but higher satisfaction of people participating in the disease management programme diabetes type 2 in Germany

AIMS

We analysed metabolic control, complications and satisfaction in people with and without DMP participation.

METHODS

We retrospectively analysed the German data of the GUIDANCE study. The general practices included (n = 38) were selected from the physicians' register of the Thuringian Association of Statutory Health Insurance Physicians. Half of the practices (n = 19) participated in the DMP "Diabetes mellitus type 2".

RESULTS

Nine hundred and fifty-nine people were included in the analysis. Of these, 541 (56.4%) were enrolled in the DMP and 418 (43.6%) not. There was no difference between the two groups (DMP vs. no DMP) regarding age (67.8 vs. 67.6y), gender (female 50.6 vs. 52.2%), diabetes duration (9.8 vs. 9.5y), BMI (31.3 vs. 30.7 kg/m²), HbA1c (7.2 vs. 7.2%), systolic blood pressure (139 vs. 140 mm Hg) or antihypertensive drug (89.5 vs. 88.8%). More DMP participants had regular screening of diabetic late complications: retinopathy 84.7 versus 69.9% (p < 0.001); polyneuropathy 93.0 versus 52.6% (p < 0.001). Chronic kidney disease was more frequent in DMP participants (15.0 vs. 9.3%, p = 0.005). Treatment satisfaction was higher in participants enrolled in the DMP (31.1 vs. 30.0; p = 0.002).

CONCLUSIONS

DMP participants do not exhibit positive selection. Process quality and treatment satisfaction are higher in DMP participants.

Cost-utility analysis of bariatric surgery compared with conventional medical management in Germany: a decision analytic modeling

Background

The objective was to evaluate cost-utility of bariatric surgery in Germany for a lifetime and 10-year horizon from a health care payer perspective.

Methods

State-transition Markov model provided absolute and incremental clinical and monetary results. In the model, obese patients could undergo surgery, develop post-surgery complications, experience diabetes type II, cardiovascular diseases or die. German Quality Assurance in Bariatric Surgery Registry and literature sources provided data on clinical effectiveness and safety. The model considered three types of surgeries: gastric bypass, sleeve gastrectomy, and adjustable gastric banding. The model was extensively validated, and deterministic and probabilistic sensitivity analyses were performed to evaluate uncertainty. Cost data were obtained from German sources and presented in 2012 euros (€).

Results

Over 10 years, bariatric surgery led to the incremental cost of €2909, generated additional 0.03 years of life and 1.2 quality-adjusted life years (QALYs). Bariatric surgery was cost-effective at 10 years with an incremental cost-effectiveness ratio of €2457 per QALY. Over a lifetime, surgery led to savings of €8522 and generated an increment of 0.7 years of life or 3.2 QALYs. The analysis also depicted an association between surgery and a reduction of obesity-related adverse events (diabetes, cardiovascular disorders). Delaying surgery for up to 3 years, resulted in a reduction of life years and QALYs gained, in addition to a moderate reduction in associated healthcare costs.

Conclusions

Bariatric surgery is cost-effective at 10 years post-surgery and may result in a substantial reduction in the financial burden on the healthcare system over the lifetime of the treated individuals. It is also observed that delays in the provision of surgery may lead to a significant loss of clinical benefits.

Selective enrollment in Disease Management Programs for coronary heart disease in Germany - An analysis based on cross-sectional survey and administrative claims data

Background

In 2002, Disease Management Programs (DMPs) were introduced within the German healthcare system with the aim to increase the quality of chronic disease care. Due to the enrollment procedures, it can be assumed a) that only certain patients actively decide to enroll in a DMP and/or b) that only certain patients get the recommendation for DMP enrollment from their physician. How strong this assumed effect of self- and/or professional selection is, is still unclear.

Methods

We used data from a cross-sectional postal-survey linked on individual level with administrative claims data from a German sickness fund. The sample consisted of individuals suffering from coronary heart disease (CHD) who i) were either enrolled in the respective DMP or ii) fulfilled the disease related criteria for enrollment but were not enrolled. We applied multivariate logistic regression analyses to assess factors on patient level associated with DMP enrollment.

Results

We included 7070 individuals in our analyses. Male sex, higher age and receiving old age pension, a higher Charlson Score and a diagnosis of type 2 diabetes increased the odds for DMP-CHD enrollment significantly. Individuals with a diagnosed myocardial infarction (MI) were also more likely to be enrolled in the DMP-CHD. We found a significant interaction effect for MI and sex, indicating that the association between MI and DMP enrollment is stronger for women than for men.

Conclusion

DMP-enrollees and non-enrollees differ in various factors. Studies analyzing the effectiveness of DMP-CHD should carefully take into account these group differences. Furthermore, the results suggest that the DMP-CHD assessed reaches men better than women.

Impact of Disease Management Programs on HbA1c Values in Type 2 Diabetes Patients in Germany

BACKGROUND

The aim was to analyze the impact of disease management programs on HbA1c values in type 2 diabetes mellitus (T2DM) patients in Germany.

METHODS

This study included 9017 patients followed in disease management programs (DMPs) who started an antihyperglycemic treatment upon inclusion in a DMP. Standard care (SC) patients were included after individual matching (1:1) to DMP cases based on age, gender, physician (diabetologist versus nondiabetologist care), HbA1c values at baseline, and index year. The main outcome was the share of patients with HbA1c <7.5% or 6.5% after at least 6 months and less than 12 months of therapy in DMP and SC groups. Multivariate logistic regression models were fitted with HbA1c level as a dependent variable and the potential predictor (DMP versus SC).

RESULTS

The mean age was 64.3 years and 54.7% of the patients were men. The mean HbA1c level at baseline was equal to 8.7%. In diabetologist practices, 64.7% of DMP patients and 55.1% of SC patients had HbA1c levels <7.5%, while 23.4% of DMP patients and 16.9% of SC patients had HbA1c levels <6.5% ( P values < .001). By comparison, in general practices, 72.4% of DMP patients and 65.7% of SC patients had HbA1c levels <7.5%, while 29.0% of DMP patients and 25.4% of SC patients had HbA1c levels <6.5% ( P values < .001). DMPs increased the likelihood of HbA1c levels lower than 7.5% or 6.5% after 6 months of therapy in both diabetologist and general care practices.

CONCLUSION

The present study indicates that the enrollment of T2DM patients in DMPs has a positive impact on HbA1c values in Germany.

Economic Impact of Integrated Care Models for Patients with Chronic Diseases: A Systematic Review

OBJECTIVES

To assess the costs and potential financial benefits of integrated care models for patients with chronic diseases, that is, type 2 diabetes mellitus, schizophrenia, and multiple sclerosis, respectively.

METHODS

A systematic search of the literature was performed using EMBASE, MEDLINE, and Web of Science. Studies that conducted a cost analysis, considered at least two components of the chronic care model, and compared integrated care with standard care were included.

RESULTS

Out of 575 articles, 26 were included. Most studies examined integrated care models for type 2 diabetes mellitus (n = 18) and to a lesser extent for schizophrenia (n = 6) and multiple sclerosis (n = 2). Across the three disease groups, the incremental cost per patient per year ranged from - €3860 to + €613.91 (x¯ = - €533.61 ± €902.96). The incremental cost for type 2 diabetes mellitus ranged from - €1507.49 to + €299.20 (x¯ = - €518.22 ± + €604.75), for schizophrenia from - €3860 to + €613.91 (x¯ = - €677.21 ± + €1624.35), and for multiple sclerosis from - €822 to + €339.43 (x¯ = - €241.29 ± + €821.26). Most of the studies (22 of 26 [84.6%]) reported a positive economic impact of integrated care models: for type 2 diabetes mellitus (16 of 18 [88.9%]), schizophrenia (4 of 6 [66.7%]), and multiple sclerosis (1 of 2 [50%]).

CONCLUSIONS

In this systematic literature review, predominantly positive economic impacts of integrated care models for patients with chronic diseases were found.

The Evaluation of the Effectiveness of Austrians Disease Management Program in Patients with Type 2 Diabetes Mellitus - A Population-Based Retrospective Cohort Study

AIM

To evaluate the effectiveness of the Austrian Disease Management Program (DMP) 'Therapie aktiv-Diabetes im Griff' for patients with type 2 diabetes mellitus concerning patient-relevant outcomes (mortality, myocardial infarction and stroke) and costs.

METHODS

Based on routine health insurance data, we conducted a population-based retrospective cohort study using a propensity score (PS) matched control group design. The DMP-group consists of participants enrolled in the program during 2008 and 2009 (n = 7181). Out of 208.532 patients with no participation in the DMP up to 2013, PS-matched controls were selected with a matching ratio 1:3. In the PS-model, patient's characteristics, form of antidiabetic drug therapy, several prescriptions, the number of hospital admissions and days, main discharge diagnoses and costs at baseline were included.

RESULTS

Over a follow-up period of four years, we observed a significantly lower mortality rate in the DMP-group (9.4%) in comparison with the control group (15.9%, p<0.001). The cumulative number of hospital days and mean annual hospital costs were lower for DMP-participants resulting in significantly lower mean annual total costs, amounting to € 8226.80 per patient in the DMP-group and € 9231.10 in the control group respectively (p<0.001).

CONCLUSIONS

The evaluation shows a survival benefit and an average reduction of costs for participants in the DMP compared with the control-group. Despite we took great effort to ensure comparable groups, we cannot entirely rule out an influence by residual and unmeasured confounding due to the observational study design and the use of routine data. However, the results indicate that the disease management program implemented in Austria improves quality of care for patients with type 2 diabetes mellitus.

The Comparison of Matching Methods Using Different Measures of Balance: Benefits and Risks Exemplified within a Study to Evaluate the Effects of German Disease Management Programs on Long-Term Outcomes of Patients with Type 2 Diabetes

OBJECTIVE

To present a case study on how to compare various matching methods applying different measures of balance and to point out some pitfalls involved in relying on such measures.

DATA SOURCES

Administrative claims data from a German statutory health insurance fund covering the years 2004-2008.

STUDY DESIGN

We applied three different covariance balance diagnostics to a choice of 12 different matching methods used to evaluate the effectiveness of the German disease management program for type 2 diabetes (DMPDM2). We further compared the effect estimates resulting from applying these different matching techniques in the evaluation of the DMPDM2.

PRINCIPAL FINDINGS

The choice of balance measure leads to different results on the performance of the applied matching methods. Exact matching methods performed well across all measures of balance, but resulted in the exclusion of many observations, leading to a change of the baseline characteristics of the study sample and also the effect estimate of the DMPDM2. All PS-based methods showed similar effect estimates. Applying a higher matching ratio and using a larger variable set generally resulted in better balance. Using a generalized boosted instead of a logistic regression model showed slightly better performance for balance diagnostics taking into account imbalances at higher moments.

CONCLUSION

Best practice should include the application of several matching methods and thorough balance diagnostics. Applying matching techniques can provide a useful preprocessing step to reveal areas of the data that lack common support. The use of different balance diagnostics can be helpful for the interpretation of different effect estimates found with different matching methods.

Disease management programs for type 2 diabetes in Germany: a systematic literature review evaluating effectiveness

BACKGROUND

Disease management programs (DMPs) are intended to improve the care of persons with chronic diseases. Despite numerous studies there is no unequivocal evidence about the effectiveness of DMPs in Germany.

METHOD

We conducted a systematic literature review in the MEDLINE, EMBASE, Cochrane Library, and CCMed databases. Our analysis included all controlled studies in which patients with type 2 diabetes enrolled in a DMP were compared to type 2 diabetes patients receiving routine care with respect to process, outcome, and economic parameters.

RESULTS

The 9 studies included in the analysis were highly divergent with respect to their characteristics and the process and outcome parameters studied in each. No study had data beyond the year 2008. In 3 publications, the DMP patients had a lower mortality than the control patients (2.3%, 11.3%, and 7.17% versus 4.7%, 14.4%, and 14.72%). In 2 publications, DMP participation was found to be associated with a mean survival time of 1044.94 (± 189.87) days, as against 985.02 (± 264.68) in the control group. No consistent effect was seen with respect to morbidity, quality of life, or economic parameters. 7 publications from 5 studies revealed positive effects on process parameters for DMP participants.

CONCLUSION

The observed beneficial trends with respect to mortality and survival time, as well as improvements in process parameters, indicate that DMPs can, in fact, improve the care of patients with diabetes. Further evaluation is needed, because some changes in outcome parameters (an important indicator of the quality of care) may only be observable over a longer period of time.

[Analysis of type 2 diabetes-induced late effects based on administrative data of social insurance in Austria and implications for the evaluation of the DMP diabetes mellitus]

The present study analyses administrative data of medical services related to the distribution of diabetes mellitus type 2-induced late effects. Pseudonymous statutory health insurance data of all Austrian social security institutions for the years 2006/2007 in outpatient and inpatient (performance and diagnostic data) setting were used. Type 2 diabetics have been identified by prescribed medication. The specific late effects were defined as endpoints and the respective diagnoses and health performances were extracted. The study population included 7,945,774 insured. The percentage of the defined late effects was significantly higher in diabetics than in persons from the general population, with exception for kidney transplantation. The risk of a late effect was greatest among diabetics for an amputation. The results of this study can be used as a baseline for the evaluation of DMP diabetes. The administrative data used are limited for answering the defined research questions. Anyway, the data quality must be improved and unified in Austria.

Improving care of post-infarct patients: effects of disease management programmes and care according to international guidelines

BACKGROUND

Cardiac disease management programmes (CHD-DMPs) and secondary cardiovascular prevention guidelines aim to improve complex care of post-myocardial infarction (MI) patients. In Germany, CHD-DMPs, in addition to incorporating medical care according to guidelines (guideline-care), also ensure regular quarterly follow-up. Thus, our aim was to examine whether CHD-DMPs increase the frequency of guideline-care and whether CHD-DMPs and guideline-care improve survival over 4 years.

METHODS

The study included 975 post-MI patients, registered by the KORA-MI Registry (Augsburg, Germany), who completed a questionnaire in 2006. CHD-DMP enrolment was reported by physicians. Guideline-care was based on patient reports regarding medical advice (smoking, diet, or exercise) and prescribed medications (statins and platelet aggregation inhibitors plus beta-blockers or renin-angiotensin inhibitors). All-cause mortality until December 31, 2010 was based on municipal registration data. Cox regression analyses were adjusted for age, sex, education, years since last MI, and smoking and diabetes.

RESULTS

Physicians reported that 495 patients were CHD-DMP participants. CHD-DMP participation increased the likelihood of receiving guideline-care (odds ratio 1.55, 95% CI 1.20; 2.02) but did not significantly improve survival (hazard rate 0.90, 95% CI 0.64-1.27). Guideline-care significantly improved survival (HR 0.41, 95% CI 0.28; 0.59). Individual guideline-care components, which significantly improved survival, were beta-blockers, statins and platelet aggregation inhibitors. However, these improved survival less than guideline-care.

CONCLUSIONS

This study shows that CHD-DMPs increase the likelihood of guideline care and that guideline care is the important component of CHD-DMPs for increasing survival. A relatively high percentage of usual care patients receiving guideline-care indicate high quality of care of post-MI patients. Reasons for not implementing guideline-care should be investigated.

Type 2 diabetes: prevalence and relevance of genetic and acquired factors for its prediction

BACKGROUND

The epidemiology of type 2 diabetes in Germany is of major societal interest, as is the question of the predictive value of genetic and acquired risk factors.

METHODS

We present clinically relevant aspects of these topics on the basis of a selective review of pertinent literature retrieved by a PubMed search that centered on population-based studies.

RESULTS

The German Health Interview and Examination Survey for Adults (Studie zur Gesundheit Erwachsener in Deutschland [DEGS1], 2008-2011) revealed that diabetes was diagnosed in 7.2% of the population aged 18 to 79 years (women 7.4%, men 7.0%). These figures are two percentage points higher than those found in the preceding national survey (1998). The percentage of cases that were not captured by these surveys is estimated at 2% to 7% depending on the method. Independently of personal factors (the individual's life style), it seems that living in a disadvantaged region characterized by high unemployment, air pollution, and poor infrastructure raises the risk of diabetes. Moreover, type 2 diabetes has a substantial hereditary component. More than 60 genetic regions have been identified to date that affect the risk of type 2 diabetes, yet all of them together account for only 10% to 15% of the genetic background of the disease.

CONCLUSION

The prevalence of type 2 diabetes in Germany has risen in recent years. The discovery of new genetic variants that confer a higher risk of developing the disease has improved our understanding of insulin secretion in diabetes pathogenesis rather than the prediction of individual diabetes risk ("personalized medicine").