Performance of the adapted Diabetes Complications Severity Index translated to ICD-10.

OBJECTIVES: To assess the performance of the adapted Diabetes Complications Severity Index (aDCSI) translated to International Classification of Diseases, Tenth Revision (ICD-10) in predicting hospitalizations, mortality, and healthcare-associated costs. STUDY DESIGN: Retrospective closed cohort study based on secondary data analysis. METHODS: We translated the aDCSI to ICD-10 and calculated aDCSI scores based on health insurance claims data. To assess predictive performance, we used multivariate regression models to calculate risk ratios (RRs) of hospitalizations and mortality and linear predictors of cost. RESULTS: We analyzed a sample of 157,115 patients with diabetes mellitus. RRs of hospitalizations (total and cause specific) rose with increasing aDCSI scores. Predicting total hospitalizations over a 4-year period, unadjusted RRs were 1.22 for an aDCSI score of 1 (compared with a score of 0), 1.55 for a score of 2, 1.77 for a score of 3, 2.11 for a score of 4, and 2.72 for scores of 5 and higher. Cause-specific hospitalizations and mortality showed similar results. Costs clearly increased in each successive score category. CONCLUSIONS: Our study supports the validity of the aDCSI as a severity measure for complications of diabetes, as it correlates to and predicts total and cause-specific hospitalizations, mortality, and costs. The aDCSI's performance in ICD-10-coded data is comparable with that in International Classification of Diseases, Ninth Revision-coded data.

The development of diabetes complications in GP-centered healthcare.

OBJECTIVES: To compare the development of diabetes complications, measured in terms of clinical end points, of patients enrolled in general practitioner (GP)-centered healthcare (Hausarztzentrierte Versorgung [HZV]) and patients in usual GP care (non-HZV) over 4 years. STUDY DESIGN: Retrospective closed cohort study based on German claims data. METHODS: The main end points in our evaluation were dialysis, blindness, amputation, stroke, myocardial infarction, cardiovascular disease, hypoglycemia, and mortality. We used Cox proportional hazards regression models for multivariable analysis. RESULTS: We included 217,964 patients in our study: 119,355 were enrolled in HZV and 98,609 were in non-HZV. Compared with non-HZV, the HZV group had a 15.6% lower risk of requiring dialysis during the 4 years of observation. Risks were also lower in the HZV group for all other end points except mortality. CONCLUSIONS: The results of the present study indicate that GP-centered healthcare is associated with a delay in the occurrence of serious diabetes complications and reduces the risk of diabetes complications. This may be because GP-centered care is associated with improved coordination of care.

Changes in prescribed medicines in older patients with multimorbidity and polypharmacy in general practice.

BACKGROUND: Treatment complexity rises in line with the number of drugs, single doses, and administration methods, thereby threatening patient adherence. Patients with multimorbidity often need flexible, individualised treatment regimens, but alterations during the course of treatment may further increase complexity. The objective of our study was to explore medication changes in older patients with multimorbidity and polypharmacy in general practice. METHODS: We retrospectively analysed data from the cluster-randomised PRIMUM trial (PRIoritisation of MUltimedication in Multimorbidity) conducted in 72 general practices. We developed an algorithm for active pharmaceutical ingredients (API), strength, dosage, and administration method to assess changes in physician-reported medication data during two intervals (baseline to six-months: ∆1; six- to nine-months: ∆2), analysed them descriptively at prescription and patient levels, and checked for intervention effects. RESULTS: Of 502 patients (median age 72 years, 52% female), 464 completed the study. Changes occurred in 98.6% of patients (changes were 19% more likely in the intervention group): API changes during ∆1 and ∆2 occurred in 414 (82.5%) and 338 (67.3%) of patients, dosage alterations in 372 (74.1%) and 296 (59.2%), and changes in API strength in 158 (31.5%) and 138 (27.5%) respectively. Administration method changed in 79 (16%) of patients in both ∆1 and ∆2. Simvastatin, metformin and aspirin were most frequently subject to alterations. CONCLUSION: Medication regimens in older patients with multimorbidity and polypharmacy changed frequently. These are mostly due to discontinuations and dosage alterations, followed by additions and restarts. These findings cast doubt on the effectiveness of cross-sectional assessments of medication and support longitudinal assessments where possible. TRIAL REGISTRATION: 1. Prospective registration: Trial registration number: NCT01171339 ; Name of registry: ClinicalTrials.gov; Date of registration: July 27, 2010; Date of enrolment of the first participant to the trial: August 12, 2010. 2. Peer reviewed trial registration: Trial registration number: ISRCTN99526053 ; Name of registry: Controlled Trials; Date of registration: August 31, 2010; Date of enrolment of the first participant to the trial: August 12, 2010.