Protocol and baseline data from The Inala Chronic Disease Management Service evaluation study: a health services intervention study for diabetes care

Background: Type 2 Diabetes Mellitus is one of the most disabling chronic conditions worldwide, resulting in significant human, social and economic costs and placing huge demands on health care systems. The Inala Chronic Disease Management Service aims to improve the efficiency and effectiveness of care for patients with type 2 diabetes who have been referred by their general practitioner to a specialist diabetes outpatient clinic. Care is provided by a multidisciplinary, integrated team consisting of an endocrinologist, diabetes nurse educators, General Practitioner Clinical Fellows (general practitioners who have undertaken focussed post-graduate training in complex diabetes care), and allied health personnel (a dietitian, podiatrist and psychologist)

Mental illness related disparities in diabetes prevalence, quality of care and outcomes: a population-based longitudinal study

<p>Abstract</p> <p>Background</p> <p>Health care disparity is a public health challenge. We compared the prevalence of diabetes, quality of care and outcomes between mental health clients (MHCs) and non-MHCs.</p> <p>Methods</p> <p>This was a population-based longitudinal study of 139,208 MHCs and 294,180 matched non-MHCs in Western Australia (WA) from 1990 to 2006, using linked data of mental health registry, electoral roll registrations, hospital admissions, emergency department attendances, deaths, and Medicare and pharmaceutical benefits claims. Diabetes was identified from hospital diagnoses, prescriptions and diabetes-specific primary care claims (17,045 MHCs, 26,626 non-MHCs). Both univariate and multivariate analyses adjusted for socio-demographic factors and case mix were performed to compare the outcome measures among MHCs, category of mental disorders and non-MHCs.</p> <p>Results</p> <p>The prevalence of diabetes was significantly higher in MHCs than in non-MHCs (crude age-sex-standardised point-prevalence of diabetes on 30 June 2006 in those aged ≥20 years, 9.3% vs 6.1%, respectively, <it>P </it>< 0.001; adjusted odds ratio (OR) 1.40, 95% CI 1.36 to 1.43). Receipt of recommended pathology tests (HbA_1c, microalbuminuria, blood lipids) was suboptimal in both groups, but was lower in MHCs (for all tests combined; adjusted OR 0.81, 95% CI 0.78 to 0.85, at one year; and adjusted rate ratio (RR) 0.86, 95% CI 0.84 to 0.88, during the study period). MHCs also had increased risks of hospitalisation for diabetes complications (adjusted RR 1.20, 95% CI 1.17 to 1.24), diabetes-related mortality (1.43, 1.35 to 1.52) and all-cause mortality (1.47, 1.42 to 1.53). The disparities were most marked for alcohol/drug disorders, schizophrenia, affective disorders, other psychoses and personality disorders.</p> <p>Conclusions</p> <p>MHCs warrant special attention for primary and secondary prevention of diabetes, especially at the primary care level.</p

Effectiveness of IT-based diabetes management interventions: a review of the literature

Background : Information technology (IT) is increasingly being used in general practice to manage health care including type 2 diabetes. However, there is conflicting evidence about whether IT improves diabetes outcomes. This review of the literature about IT-based diabetes management interventions explores whether methodological issues such as sample characteristics, outcome measures, and mechanisms causing change in the outcome measures could explain some of the inconsistent findings evident in IT-based diabetes management studies.Methods : Databases were searched using terms related to IT and diabetes management. Articles eligible for review evaluated an IT-based diabetes management intervention in general practice and were published between 1999 and 2009 inclusive in English. Studies that did not include outcome measures were excluded.Results : Four hundred and twenty-five articles were identified, sixteen met the inclusion criteria: eleven GP focussed and five patient focused interventions were evaluated. Nine were RCTs, five non-randomised control trials, and two single-sample before and after designs. Important sample characteristics such as diabetes type, familiarity with IT, and baseline diabetes knowledge were not addressed in any of the studies reviewed. All studies used HbA1c as a primary outcome measure, and nine reported a significant improvement in mean HbA1c over the study period; only two studies reported the HbA1c assay method. Five studies measured diabetes medications and two measured psychological outcomes. Patient lifestyle variables were not included in any of the studies reviewed. IT was the intervention method considered to effect changes in the outcome measures. Only two studies mentioned alternative possible causal mechanisms.Conclusion : Several limitations could affect the outcomes of IT-based diabetes management interventions to an unknown degree. These limitations make it difficult to attribute changes solely to such interventions.<br /

The Happy Life Club™ study protocol: A cluster randomised controlled trial of a type 2 diabetes health coach intervention

The Happy Life Club™ is an intervention that utilises health coaches trained in behavioural change and motivational interviewing techniques to assist with the management of type 2 diabetes mellitus (T2DM) in primary care settings in China. Health coaches will support participants to improve modifiable risk factors and adhere to effective self-management treatments associated with T2DM

An audit of structured diabetes care in a rural general practice

Objective: To assess the impact of structured diabetes care in a rural general practice. Design and setting: A cohort study of structured diabetes care (care plans, multidisciplinary involvement and regular patient recall) in a large general practice in a medium-sized Australian rural town. Medical care followed each doctor's usual practice. Participants: The first 404 consecutive patients with type 2 diabetes who consented to take part in the program were evaluated 24 months after enrolment in July 2002 to December 2003. Main outcome measures: Change in cardiovascular disease risk factors (waist circumference, body mass index, serum lipid levels, blood pressure); change in indicators of risks associated with poorly controlled diabetes (glycated haemoglobin [HbA1(c]) concentration, foot lesions, clinically significant hypoglycaemia); change in 5-year cardiovascular disease risk. Results: Women had a lower 5-year risk of a cardiovascular event at enrolment than men. Structured care was associated with statistically significant reductions in mean cardiovascular disease risk factors (waist circumference, -2.6 cm; blood pressure [systolic, -3 mmHg; diastolic -7 mmHg]; and serum lipid levels [total cholesterol, -0.5 mmol/L; HDL cholesterol, 0.02 mmol/L; LDL cholesterol, -0.4 mmol/L; triglycerides, -0.3 mmol/L]); and improvements in indicators of diabetic control (proportion with severe hypoglycaemic events, -2.2%; proportion with foot lesions, -14%). The greatest improvements in risk factors occurred in patients with the highest calculated cardiovascular risk. There was a statistically significant increase in the proportion of patients with ideal blood pressure (systolic

Characteristics of older adults with diabetes: What does the current aged care resident look like?

AIM: The prevalence of diabetes in older adults in residential aged care (RAC) is twice that of community dwelling older adults. Older adults with diabetes have been highlighted as being at high risk of frailty and malnutrition, particularly when managed on a therapeutic diet. However, assumptions may be based on clinical presentation of our oldest old which may be at conflict with the clinical presentation of younger older adults. The aim of this retrospective audit was to identify the characteristics of aged care residents with diabetes, their comorbidities and malnutrition risk. METHODS: Residents\u27 with diabetes paper-based records were audited for demographic data, diet code, medical and medication history, malnutrition risk screening scores and anthropometric data. RESULTS: A total of 295 residents with diabetes records were audited across 13 sites in South Australia. Younger older adults (65-74 years) were generally in a healthy weight range (23-30 kg/m2) or obese (\u3e30 kg/m2) and had gained weight since admission to RAC; whereas the oldest old were more likely to have lost weight and had a lower body mass index range 22.6-28.9 kg/m2. An unexpected finding was the variability between RAC sites in dietary management of diabetes and potential inappropriate dietary management of malnutrition, as indicated by their food service diet codes. CONCLUSIONS: Findings suggest that younger older adults in RAC are more likely to be overweight which is maintained over a typical length of stay. Study findings indicate that diabetes management is inconsistent and highlights the need for mandated RAC menu guidelines