Patients with type 2 diabetes had higher rates of hospitalization than the general population

[Prognostic factors in patients admitted with type 2 diabetes in Internal Medicine Services: hospital mortality and readmission in one year (DICAMI study)]

INTRODUCTION

Type II diabetes mellitus (T2DM) is a prevalent Public Health Care problem that causes an increase in morbidity, mortality and number of hospital admissions as well as increased costs in care services in this population group. The clinical indicator that determine readmission and/or death are analyzed in a 12 month follow-up period.

METHODS

All T2DM patients admitted in Spanish Internal Medicine Services between two different periods (june 1-15, 2003 and november 1-15) were enrolled in a prospective cohort study. Primary endpoint were readmission and/or death in the year following the first admission.

RESULTS

Population of the study (n = 482) was distributed in 229 males (47.5%) and 253 females (52.5%). Mean age was 73.48 +/- 8.86 years. A total of 210 (43.6%) were not readmitted to the hospital and/or died in the follow-up and 272 (56.4%) were readmitted and/or died. The latter 272 patients had a significantly greater percentage of heart failure (odds ratio [OR] 1.760; 1.073-2.886), atrial fibrillation (OR 1.747; 1.010- 3.022) and previous history of systolic blood pressure (OR 0.400; 0.241-0.666). They also showed increased levels of plasma glucose (OR 1.004; 1.001-1.007), and lower concentration of plasma hemoglobin (OR 0.756; 0.677-0.845) and creatinine clearance (OR 0.985; 0.976-0.994).

CONCLUSIONS

T2DM patients who are admitted to the Internal Medicine Services in Spain are elderly patients with elevated indices of readmission and death in a short follow-up period (one year). The coexistence of heart failure, atrial fibrillation, renal dysfunction deterioration and decrease in hemoglobin levels may predict this worse outcome.

Health care utilization and costs in Saskatchewan's registered Indian population with diabetes

BACKGROUND

The prevalence of diabetes in North American is recognized to be higher in Aboriginal populations. The relative magnitude of health care utilization and expenditures between Aboriginal and non-Aboriginal populations is uncertain, however. Our objective was to compare health care utilization and per capita expenditures according to Registered Indian and diabetes status in the province of Saskatchewan.

METHODS

Administrative databases from Saskatchewan Health were used to identify registered Indians and the general population diabetes cases and two controls for each diabetes case. Health care resource utilization (physician visits, hospitalizations, day surgeries and dialysis) and costs for these individuals in the 2001 calendar year were determined. The odds of having used each resource category, adjusted for age and location of residence, was assessed according to Registered Indian and diabetes status. The average number of encounters for each resource category and per capita healthcare expenditures were also determined.

RESULTS

Registered Indian diabetes cases were younger than general population cases (45.7 +/- 14.5 versus 58.4 +/- 16.4 years, p < 0.001) and fewer were male (42.3% versus 53.2%, p < 0.001). Registered Indians were more likely to visit a physician, be hospitalized or receive dialysis than the general population, regardless of diabetes status. Diabetes increased the probability of having used all resource categories for both Registered Indians and the general population. Per capita health care expenditures for the diabetes subgroups were more than twice that of their respective controls and were 40% to 60% higher for registered Indians than the general population, regardless of diabetes status.

CONCLUSION

Relative to individuals without the disease, both registered Indians and the general population with diabetes had substantially higher health care utilization and costs. Excess hospitalization and dialysis suggested that registered Indians with and without diabetes experienced greater morbidity than the general population.

Monitoring the occurrence of diabetes mellitus and its major complications: the combined use of different administrative databases

OBJECTIVE

Diabetes mellitus is a growing public health problem, for which efficient and timely surveillance is a key policy. Administrative databases offer relevant opportunities for this purpose. We aim to monitor the incidence of diabetes and its major complications using administrative data.

STUDY DESIGN AND METHODS

We study a population of about 850,000 inhabitants in the Veneto Region (Italy) from the end of year 2001 to the end of year 2004. We use four administrative databases with record linkage. Databases of drug prescriptions and of exemptions from medical charge were linked to identify diabetic subjects; hospital discharge records and mortality data were used for the assessment of macrovascular and renal complications and vital status.

RESULTS

We identified 30,230 and 34,620 diabetic subjects at the start and at the end of the study respectively. The row prevalence increased from 38.3/1000 (95% CI 37.2-39.5) to 43.2/1000 (95% CI 42.3-44) for males and from 34.7/1000 (95% CI 33.9-35.5) to 38.1/1000 (95% CI 37.4-39) for females. The mean row incidence is 5.3/1000 (95% CI 5-5.6) person years for males and 4.8/1000 (95% CI 4.4-5.2) person years for females. The rate of hospitalisations for cardiovascular or kidney diseases is greatly increased in diabetic people with respect to non diabetics for both genders. The mortality relative risk is particularly important in younger age classes: diabetic males and females aged 45-64 years present relative risk for death of 1.7 (95% CI 1.58-1.88) and 2.6 (95% CI 2.29-2.97) respectively.

CONCLUSION

This study provides a feasible and efficient method to determine and monitor the incidence and prevalence of diabetes and the occurrence of its complications along with indexes of morbidity and mortality.

Evaluating hospital costs in type 2 diabetes care: does the choice of the model matter?

BACKGROUND

Awareness of the economic burden of diabetes has led to a number of studies on economic issues. However, comparison among cost-of-illness studies is problematic because different methods are used to arrive at a final cost estimate.

OBJECTIVE

The aim of the study is to show how estimates of hospitalisation costs for diabetic patients can vary significantly in relation to the statistical method adopted in the analysis.

RESEARCH DESIGN AND METHODS

The study analyses diabetic patients' costs as a function of demographic and clinical covariates, by applying the following statistical survival models: the parametric survival model assuming Weibull distribution, the Cox proportional hazard (PH) model and the Aalen additive regression for modelling costs. The Aalen approach is robust both for the non proportionality in hazard and for departures from normality. In addition it is able to easily model the effect of covariates on the extreme costs. This cost analysis is based on data collected for a retrospective observational study analysing repeated hospitalisations (N = 4816) in a cohort of 3892 diabetic patients.

RESULTS

There is agreement in all models with the effects of the considered covariates (age, sex, duration of disease and presence of other pathologies). An effect of over- or under-estimation, according to the chosen model due to arguably inappropriate model fitting, was observed, being more evident for some specific profiles of the patients, and overall accounting for as much as 20% of the estimated effect. The Aalen model was able to cope with all the other models in furnishing unbiased estimates with the advantage of a greater flexibility in representing the covariates' effect on the cost process.

CONCLUSIONS

An appropriate choice of the model is crucial in avoiding misinterpretation of cost determinants of type 2 diabetes care. For our data set the Aalen model proved itself to be a realistic and informative way to characterise the effect of covariates on costs.

Aboriginal versus non-Aboriginal ophthalmic disease: admission characteristics at the Royal Adelaide Hospital

BACKGROUND

The purpose of the study is to compare characteristics of Aboriginal patient hospital admissions with non-Aboriginal admissions to the Ophthalmology Unit of the Royal Adelaide Hospital.

METHODS

A retrospective review of separation data was undertaken of hospital inpatient and day surgery admissions to the Royal Adelaide Hospital Ophthalmology Unit for the period July 1997 to January 2005.

RESULTS

There were 11 944 admissions to the Ophthalmology Unit (including inpatients and day surgery cases), of which 273 (2.29%) were Aboriginal patients. Of the total, 2779 (23.3%) patients were admitted for at least 24 h (inpatients), and 9165 (76.7%) stayed less than 24 h (mostly day surgery cases). Aboriginal patients comprised 6.8% of inpatient admissions, and 0.9% of admissions less than 24 h. The average age of Aboriginal patients (52.9 years) was significantly less than non-Aboriginal patients (62.6 years; P < 0.0001). The median length of stay for Aboriginal patients was 5 days compared with 3 days in non-Aboriginal patients. Aboriginal patients were more likely to be from interstate (RR 10.3 P < 0.0001), more likely to have diabetes mellitus (RR 2.7 P < 0.0001), and more likely to be admitted for cataract surgery (RR 4.18 P < 0.0001) and lid disorders (RR 6.04 P < 0.0001) than non-Aboriginal patients.

CONCLUSION

Aboriginal patients admitted to the Ophthalmology Unit were younger in age, more frequently from interstate, and had longer admissions than non-Aboriginal patients. These results have important implications for ophthalmic health-care planning.