Using chi-Squared Automatic Interaction Detection (CHAID) modelling to identify groups of methadone treatment clients experiencing significantly poorer treatment outcomes.

In times of scarce resources it is important for services to make evidence based decisions when identifying clients with poor outcomes. chi-Squared Automatic Interaction Detection (CHAID) modelling was used to identify characteristics of clients experiencing statistically significant poor outcomes. A national, longitudinal study recruited and interviewed, using the Maudsley Addiction Profile (MAP), 215 clients starting methadone treatment and 78% were interviewed one year later. Four CHAID analyses were conducted to model the interactions between the primary outcome variable, used heroin in the last 90 days prior to one year interview and variables on drug use, treatment history, social functioning and demographics. Results revealed that regardless of these other variables, males over 22 years of age consistently demonstrated significantly poorer outcomes than all other clients. CHAID models can be easily applied by service providers to provide ongoing evidence on clients exhibiting poor outcomes and requiring priority within services.

Understanding symptoms in patients with advanced chronic kidney disease managed without dialysis: use of a short patient-completed assessment tool.

BACKGROUND: It is often believed that patients with advanced chronic kidney disease (CKD) stage 4-5 have few symptoms, and that dying with renal disease is relatively symptom-free. But the symptom burden of patients managed conservatively (without dialysis), with potentially high levels of comorbidity and poor functional status, is unknown. This clinical audit evaluated the prevalence and severity of symptoms in conservatively managed CKD stage 4-5 patients. METHODS: Symptom data was collected from all conservatively managed patients from 2 renal units referred to a new renal palliative care service over a 10-month period between April 2005 and January 2006. Data on symptom prevalence and severity was collected as part of their routine clinical care, using a modified version of the Patient Outcome Scale--symptom module (POSs). This patient-completed instrument identifies the presence and severity of 17 symptoms. Demographic data was also collected, including estimated glomerular filtration rate (eGFR) using the MDRD formula, primary renal diagnosis and comorbidity. RESULTS: Symptoms were evaluated in 55 patients, with a mean age of 82 years (SD 5.5, range 66-96). eGFR ranged from 3 to 30 ml/min (median 11, mean 12.75). In patients with CKD stage 4-5, managed without dialysis, the symptom burden is high. The most prevalent symptoms reported were weakness (75%), poor mobility (75%), poor appetite (58%), pain (56%), pruritus (56%) and dyspnoea (49%). The total number of symptoms each individual patient experienced ranged from 1 to 14 (median 7, mean 6.8). Symptoms were frequently reported as moderate, severe, or overwhelming; in 54% of patients with poor mobility, 48% with weakness, 30% with itching, 31% with anorexia and 27% with pain. No significant association was demonstrated between the number of symptoms experienced and either severity of renal disease or comorbidity score. CONCLUSIONS: This structured clinical evaluation demonstrates the extent and severity of symptom burden in conservatively managed patients with CKD stage 4-5, and demonstrates the use of an appropriate clinical tool that can be used to assess the efficacy of treatment.