Using supervised and unsupervised techniques to determine groups of patients with different doctor-patient stability

Decision trees and self organising feature maps (SOFM) are frequently used to identify groups. This research aims to compare the similarities between any groupings found between supervised (Classification and Regression Trees - CART) and unsupervised classification (SOFM), and to identify insights into factors associated with doctor-patient stability. Although CART and SOFM uses different learning paradigms to produce groupings, both methods came up with many similar groupings. Both techniques showed that self perceived health and age are important indicators of stability. In addition, this study has indicated profiles of patients that are at risk which might be interesting to general practitioners.

Concentration monitoring and performance of a migratory corrosion inhibitor in steel-reinforced concrete

Inhibitor concentration depth profiles for concrete samples treated with a proprietary migratory corrosion inhibitor (of the Cortec MCI range) are presented. The treated concrete was cored and these cores were then sectioned and crushed before being immersed in distilled water to extract the available inhibitor. The amine concentrations were quantified using an ammonium-sensing electrode and were then related to the inhibitor concentration present. The inhibitor examined, reported to contain a combination of volatile amines and amino carboxylate compounds, was found to readily diffuse through concrete. The inhibitor was subjected to a 5-year trial and found to be effective in suppressing corrosion of steel reinforcement in the presence of high chloride concentrations. The concentration profiles indicate that only relatively low concentrations of inhibitor were required to achieve inhibition in this case.

Nurses and personal attendants' diabetes knowledge : in regional public residential care

Aim: Identify staff knowledge about diabetes medicines and organisational factors that influence safe medicines use in two large Australian regional public RACs that comply with national accreditation standards.

Background: Diabetes management is complicated in residential aged care facilities (RAC). Managing medicines is complex, especially in older people. Little is known about diabetes-specific medicine knowledge of various care staff (registered nurses (RN), enrolled nurses (EN) and patient care attendants (PCA) working in RAC.

Methods: A triangulation of methods was used to collect the data: anonymous self-complete questionnaire (ADKnowl) staff interviews to clarify practice issues that could affect safe medicine use, and a case file audit to identify medicine-related data. Questionnaires were distributed to all RNs, ENs and PCAs in the two services via nursing management (N=540). The ADKnowl was supplemented with additional questions and vignettes derived from actual case notes in each RAC to assess translation of knowledge into practice. Only medicine related data are reported.

Results: Sixty-eight people returned completed questionnaires (12.5% response rate). Knowledge deficits were identified in administering oral hypoglycaemic agents and insulin, their action and potential adverse events. Most ENs and PCAs did not know why HbA1c was measured. Almost half the RNs and ENs and 80% of PCAs did not know how diabetes comorbidities affect medicine choices. RN achieved higher overall average knowledge scores,74.3%, compared to ENs and PCA, 49%. The interviews suggest lack of time, unclear communication processes, inadequate knowledge about medications and resident behaviour compromises optimal medicine administration. Twenty case files audits were undertaken in each RAC and revealed residents were taking on average nine medicines.

Conclusion: Staff involved in caring for residents with diabetes had suboptimal general and medicine-specific diabetes knowledge to deliver optimal care. System issues and unpredictable resident behaviours made medicine management difficult and compromised safety.

Young adults' management of type 1 diabetes during life transitions

Aim. To identify life transitions likely to impact diabetes self-care among young adults with Type 1 diabetes and their coping strategies during transition events.

Background. Relationships among psychosocial stress, adjustment, coping and metabolic control affect clinical outcomes and mental health. Life transitions represent major change and are associated with stress that temporarily affects individuals’ problem-solving, coping abilities and blood glucose levels.

Design. A qualitative interpretive inquiry.

Method. Semi-structured interviews were conducted with 20 young adults with Type 1 diabetes and a constant comparative analysis method. Data and analysis was managed using QSR_ NVIVO 7 software.

Results. Participants identified two significant transition groups: life development associated with adolescence, going through the education system, entering new relationships, motherhood and the workforce and relocating. Diabetes-related transitions included being diagnosed, developing diabetes complications, commencing insulin pump treatment and going on diabetes camps. Participants managed transitions using ‘strategic thinking and planning’ with strategies of ‘self-negotiation to minimise risks’; ‘managing diabetes using previous experiences’; ‘connecting with others with diabetes’; ‘actively seeing information to ‘patch’ knowledge gaps’; and ‘putting diabetes into perspective’.

Conclusions. Several strategies are used to manage diabetes during transitions. Thinking and planning strategically was integral to glycaemic control and managing transitions. The impact of transitions on diabetes needs to be explored in larger and longitudinal studies to identify concrete strategies that assist diabetes care during life transitions.

Relevance to clinical practice. It is important for health professionals to understand the emotional, social and cognitive factors operating during transitions to assist young adults with Type 1 diabetes to achieve good health outcomes by prioritising goals and plan flexible, timely, individualised and collaborative treatment.

Uptake of a newly implemented advance care planning program in a dementia diagnostic service

BACKGROUND: advance care planning (ACP) provides a framework for discussion and documentation of future care preferences when a person loses cognitive capacity. It can assist people in the early stages of dementia to document their preferences for care at later stages of the illness. METHOD: a three-stage project introduced ACP to clients with mild cognitive impairment (MCI) or recently diagnosed dementia and their families through a specialist memory clinic. Over 8 months, all English-speaking clients (n = 97) and carers (n = 92) were mailed a survey assessing completed documentation for future care; understanding of the principles of ACP and willingness to get further information about ACP (Stage 1). Participants wanting more information were invited to a seminar introducing the ACP program and service (Stage 2). Participants wanting to complete ACP documentation could make an appointment with the ACP clinicians (Stage 3). RESULTS: forty-eight (52.2%) carers and 34 clients (35.1%) responded to the survey. Most clients (62.1%) and carers (79.1%) expressed interest in ACP, and 78.6% of clients and 63.6% of carers believed that clients should be involved in their future medical decisions. Nine clients (26.5%; diagnoses: MCI = 5; AD = 3; mixed dementia = 1) and 9 carers (18.8%) attended the seminars, and 2/48 (4%) carers and 3/34 (8.8%) clients (diagnoses: MCI = 2; AD = 1) completed ACP. CONCLUSION: despite initial interest, ACP completion was low. The reasons for this need to be determined. Approaches that may better meet the needs of people newly diagnosed with MCI and dementia are discussed.

The China longitudinal ageing study: overview of the demographic, psychosocial and cognitive data of the Shanghai sample

BACKGROUND: China's ageing population will lead to increased neurodegenerative illness and age-related mental health problems. AIMS: The Chinese Longitudinal Ageing Study has been developed to better understand the impact of ageing on cognition and mental health. An overview of the sample, major diagnoses and results of the first wave of data collection is presented. METHOD: One thousand and sixty-eight elderly Chinese (42.2% male), mean age of 72.8 years (SD = 8.5) completed a comprehensive cognitive, psychosocial and mental health assessment. RESULTS: Mean MMSE score was 24.73 (SD = 6.17). Primary generalised anxiety was detected in 0.4% of the sample. Sub-clinical depression and depressive disorder were diagnosed in 1.7% and 2.4% of the sample, respectively. Most (84.5%) reported subjective memory decline, however 66.5% had no cognitive impairment. Mild Cognitive Impairment (MCI) was detected in 25%, Alzheimer's disease (AD) in 4.7%, vascular dementia in 2.5%, and mixed dementia in 1.3%. Cognition was worse in those 85+ years, but affective disorder rates were not. CONCLUSION: Higher rates of dementia were detected than previously reported in China. Normative data is presented for common cognitive and mental health assessment and screening tasks in a Chinese population. This suggests that the true incidence of dementia has been underestimated, and requires further investigation.