Diabetes and Cardiovascular Risk Evaluation and Management in Primary Care: Progress and Unresolved Issues

As good as it gets? Managing risks of cardiovascular disease in California's top-performing physician organizations

BACKGROUND

The California Right Care Initiative (RCI) accelerates the adoption of evidence-based guidelines and improved care management practices for conditions for which the gap between science and practice is significant, resulting in preventable disability and death.

METHODS

Medical directors and quality improvement leaders from 11 of the 12 physician organizations that met the 2010 national 90th percentile performance benchmarks for control of hyperlipidemia and glycated hemoglobin in 2011 were interviewed in 2012. Interviews, as well as surveys, assessed performance reporting and feedback to individual physicians; medication management protocols; team-based care management; primary care team huddles; coordination of care between primary care clinicians and specialists; implementation of shared medical appointments; and telephone visits for high-risk patients.

RESULTS

All but 1 of 11 organizations implemented electronic health records. Electronic information exchange between primary care physicians and specialists, however, was uncommon. Few organizations routinely used interdisciplinary team approaches, shared medical appointments, or telephonic strategies for managing cardiovascular risks among patients. Implementation barriers included physicians' resistance to change, limited resources and reimbursement for team approaches, and limited organizational capacity for change. Implementation facilitators included routine use of reliable data to guide improvement, leadership facilitation of change, physician buy-in, health information technology use, and financial incentives.

CONCLUSION

To accelerate improvements in managing cardiovascular risks, physician organizations may need to implement strategies involving extensive practice reorganization and work flow redesign.

Barriers to cardiovascular risk prevention and management in Germany--an analysis of the EURIKA study

Background and purpose

Despite the availability of risk engines to determine cardiovascular risk, risk factor control is suboptimal. Using EURIKA data we compared risk factor control in Germany with that of 11 other European countries (rest of Europe [ROE]) to identify differences and opportunities for improvement.

Methods

EURIKA was a multinational, cross-sectional study in 12 European countries including Germany from May 2009 to January 2010. Physicians’ attitudes to risk factor control based on the 2007 European guidelines on cardiovascular disease (CVD) prevention in a representative cohort of 7641 primary care outpatients aged ≥50 years with no CV disease and at least one major CV risk factor were determined.

Results

Compared to the ROE, German physicians were more frequently male (72.7% vs 62.6%), had a higher mean age (51.7 ± 8.4 vs 47.0 ± 9.7 years), faced higher patient loads (37.9% vs 16.5% had >199 patients/week), and involved other health sector professionals (dieticians, psychologists) less (31.8% vs 41.0% in the ROE). The European Society of Cardiology (ESC) guidelines on CVD prevention were more important for German physicians (60.6% vs 55.9%), while those who didn’t use them gave reasons for nonuse as too many (62.5% vs 46.2%), too confusing, unrealistic, or not applicable to their patients. Risk engines were used less (54.5% vs 70.7%), with perceived lack of time (65.5% vs 60.2%) a frequent reason for nonuse. Risk factor control in German patients was inadequate (control rates: hypertension 36.3%, dyslipidemia 30.4%, type 2 diabetes 40.6%, obesity 28.8%) but largely comparable to other ROE countries; however, physicians tended to overestimate control rates.

Conclusion

EURIKA provides comprehensive data on the status of primary prevention of CVD in clinical practice in Germany and reveals considerable potential for improving the primary prevention of CVD.

The DETECT adherence score--structure and psychometric exploration of a novel approach to measure adherence to drug and non-drug interventions in primary care

There is substantial evidence that patient compliance or rather adherence to medical measures and recommendations for lifestyle changes can pivotally influence the prognosis of the patients or disease progression. However, the scientific evaluation and the statistical analysis of "patient adherence" are extremely difficult due to the fact that the construct of "adherence" is complex and comprised of many layers, and varies greatly in different disease groups. With this paper, we describe the development and structure of this novel assessment tool that takes past and prospective information on different facets of drug and behavioural adherence into account, expected to result in considerably improved prediction of future cardiovascular risk. We suggest a simple scoring scheme and explore the psychometric properties and the higher order factorial structure. In this exploratory study the "Diabetes Cardiovascular Risk Evaluation Targets and Essential Data for Commitment of Treatment" (DETECT) adherence score revealed good psychometric properties in terms of internal consistency and factorial structure, suggesting that its further exploration in terms of external validity is promising. Findings also underline that it is useful and informative to cover within one score both, pharmacologic and non-pharmacologic interventions in primary care. Our combination in this respect is unique, as most studies conducted on this subject so far aimed at assessing solely drug adherence or behavioural adherence.

Unmet needs in the diagnosis and treatment of dyslipidemia in the primary care setting in Germany

OBJECTIVES AND METHODS

DETECT is a cross-sectional study of 55,518 unselected consecutive patients in 3188 representative primary care offices in Germany. In a random subset of 7519 patients, an extensive standardized laboratory program was undertaken. The study investigated the prevalence of cardiovascular disease, known risk factors (such as diabetes, hypertension and dyslipidemia and their co-morbid manifestation), as well as treatment patterns. The present analysis of the DETECT laboratory dataset focused on the prevalence and treatment of dyslipidemia in primary medical care in Germany. Coronary artery disease (CAD), risk categories and LDL-C target achievement rates were determined in the subset of 6815 patients according to the National Cholesterol Education Program (NCEP) ATP III Guidelines.

RESULTS

Of all patients, 54.3% had dyslipidemia. Only 54.4% of the NCEP-classified dyslipidemic patients were diagnosed as 'dyslipidemic' by their physicians. Only 27% of all dyslipidemic patients (and 40.7% of the recognized dyslipidemic patients) were treated with lipid-lowering medications, and 11.1% of all dyslipidemic patients (41.4% of the patients treated with lipid-lowering drugs) achieved their LDL-C treatment goals. In conclusion, 80.3% of patients in the sample with dyslipidemia went undiagnosed, un-treated or under-treated.

Inadequate medical treatment of patients with coronary artery disease by primary care physicians in Germany

AIMS

The DETECT study was performed to obtain representative data about the frequency, distribution, and treatment of patients with coronary artery disease (CAD) in the primary care setting in Germany.

METHODS AND RESULTS

The DETECT study was a cross-sectional clinical- epidemiological survey of a nationally representative sample of 3795 primary care offices and 55,518 patients. Overall, 12.4% of patients were diagnosed with CAD. Stable angina pectoris and myocardial infarction were the most frequent (4.2%) subgroups, followed by status post (s/p) percutaneous coronary interventions (PCI, 3.0%) and s/p coronary bypass surgery (2.2%). Patients with CAD were prescribed AT1 receptor antagonists (in 19.4% of cases), beta blockers (57.2%), ACE inhibitors (49.9%), antiplatelet agents (52.7%), statins (43.0%), and long-term nitrates (24.5%). When comparing all CAD patients with social health care insurance to those who had private insurance, private patients had significantly higher rates of revascularisation procedures and use of preventive medications.

CONCLUSION

Great potential remains for improving secondary prevention in primary care in Germany to reduce the risk of further coronary or vascular events, especially in patients with social health care insurance.

Kardiovaskuläre Hochrisikokonstellationen in der primärärztlichen Versorgung

DETECT is a nationwide epidemiological cross-sectional and longitudinal study program in a random probability sample of 3,795 primary care settings (response rate: 60.2%). Based on a target day total assessment of n=55,518 consecutive patients (RR 93.5%) in these settings all patients underwent standardized diagnostic assessment, using self-reporting, clinical interview and laboratory measures. DETECT aims at describing the point prevalence and comorbidity of coronary heart disease (CHD), hyperlipidaemia, arterial hypertension and diabetes mellitus and at identifying the behavioural, clinical, laboratory and psychological risk factors associated with these conditions. A random subset of patients (n=7,519) also completed an extensive standardized laboratory screening program and a 12-month follow-up investigation. Findings reveal a high prevalence of hypertension (36.3%), dyslipidaemia (29.1%), diabetes mellitus (14.6%) and CHD (12.4%) in primary care as well as their close association among each other. The study describes for the first time in greater detail the prevalence of specific disorders and the frequency of high-risk constellations in primary care and allows for the evaluation of various risk scores.