Addressing quality teaching in hard to staff settings : the Exceptional Teachers for Disadvantaged Schools Project

This Exceptional Teachers for Disadvantaged Schools (ETDS) project sets out to design a new model of Australian teacher education responding to recent demands for quality education in low SES and disadvantaged schools. The project moves teacher education from the ‘missionary’ (Larabee, 2010) or deficit (Comber and Kamler 2004; Flessa, 2007) approaches, towards a focus on notions of quality and academic excellence. Rice (2008, p.1) argues for a need to place more of the “very best teachers into the most challenging schools”, yet the problem is not merely one of training more teachers, for disadvantaged schools already receive disproportionate numbers of beginning teachers (Connell, 1994; Vickers & Ferfolja, 2006). Rather, Grossman and Loeb (2010, p. 245) argue the problem centers on the common practice of “[p]lacing the least experienced teachers with the most needy students”. This paper reports on the first year trial of the project. The ETDS project is at present, the only mainstream Australian teacher education model that targets cohorts of academically high achieving pre-service teachers with the overt aim of preparing graduates of the program to teach in disadvantaged schools. At the end of its first year, the ETDS program graduated 20 new teachers, each of whom had over the previous 18 months engaged with a specialized curriculum and carefully monitored/scaffolded practicum placements in disadvantaged schools around Brisbane, Australia.

Patients’ satisfaction with acute care hospital foodservice: does age matter?

In an aging population, healthcare providers should understand the foodservice preferences of the elderly to reduce the risk of malnutrition through adequate nutrition. Conflicting reports exist for elderly patient satisfaction regarding foodservice.1 This study aimed to investigate the relationship between age and foodservice satisfaction within the acute care hospital setting. Patient satisfaction was assessed using the Acute Care Hospital Foodservice Patient Satisfaction Questionnaire with data collected over three years (2008–2010, n = 785) at The Wesley Hospital, Brisbane. Age was grouped into three categories; <50, 51–70 and >70 years. ANOVA was used to measure age related differences in patients’ overall foodservice satisfaction, four foodservice dimensions and two independent statements (meal size and hot food temperature). Results showed that older patients were more satisfied than younger patients and indicated increasing satisfaction with increasing age regarding food quality (F2,767 = 15.787, p < 0.001), staff/service issues (F2,768 = 12.243, p < 0.001), physical environment (F2,765 = 5.454, p = 0.004), meal size (F2,730 = 10.646, p < 0.001) and hot food temperature (F2,730 = 10.646, p < 0.001). While patients aged >70 years also reported greater satisfaction with meal service quality, those aged 51–70 years indicated the lowest (F2,762 = 9.988, p < 0.001). Overall patient satisfaction across all age groups was high (4.26–4.43/5) and a trend of increasing satisfaction with increasing age was evident (F2,752 = 2.900, p = 0.056). These findings suggest patients’ satisfaction with hospital foodservice increases with age and can assist foodservices to meet the varying generational expectations of their clients.

P147 Deprivation is associated with increased healthcare utilisation in patients with chronic obstructive pulmonary disease

Deprivation assessed using the index of multiple deprivation (IMD) has been shown to be an independent risk factor for 1-year mortality in outpatients with chronic obstructive pulmonary disease; COPD (Collins et al, 2010). IMD combines a number of economic and social issues (eg, health, education, employment) into one overall deprivation score, the higher the score the higher an individual's deprivation. Whilst malnutrition in COPD has been linked to increased healthcare use it is not clear if deprivation is also independently associated. This study aimed to investigate the influence of deprivation on 1-year healthcare utilisation in outpatients with COPD. IMD was established in 424 outpatients with COPD according to the geographical location for each patient's address (postcode) and related to their healthcare use in the year post-date screened (Nobel et al, 2008). Patients were routinely screened in outpatient clinics for malnutrition using the ‘Malnutrition Universal Screening Tool’, ‘MUST’ (Elia 2003); mean age 73 (SD 9.9) years; body mass index 25.8 (SD 6.3) kg/m2 with healthcare use collected 1 year from screening (Abstract P147 Table 1). Deprivation assessed using IMD (mean 15.9; SD 11.1) was found to be a significant predictor for the frequency and duration of emergency hospital admissions as well as the duration of elective hospital admission. Deprivation was also linked to reduced secondary care outpatient appointment attendance but not an increase in failure to attend and deprivation was not associated with increased disease severity, as classified by the GOLD criteria (p=0.580). COPD outpatients residing in more deprived areas experience increased hospitalisation rates but decreased outpatient appointment attendance. The underlying reason behind this disparity in healthcare use requires further investigation.

Everyone's problem but nobody's job : staff perceptions and explanations for poor nutritional intake in older medical patients

Aim: Up to 60% of older medical patients are malnourished with further decline during hospital stay. There is limited evidence for effective nutrition intervention. Staff focus groups were conducted to improve understanding of potential contextual and cultural barriers to feeding older adults in hospital. Methods: Three focus groups involved 22 staff working on the acute medical wards of a large tertiary teaching hospital. Staff disciplines were nursing, dietetics, speech pathology, occupational therapy, physiotherapy, pharmacy. A semistructured topic guide was used by the same facilitator to prompt discussions on hospital nutrition care including barriers. Focus groups were tape-recorded, transcribed and analysed thematically. Results: All staff recognised malnutrition to be an important problem in older patients during hospital stay and identified patient-level barriers to nutrition care such as non-compliance to feeding plans and hospital-level barriers including nursing staff shortages. Differences between disciplines revealed a lack of a coordinated approach, including poor knowledge of nutrition care processes, poor interdisciplinary communication, and a lack of a sense of shared responsibility/coordinated approach to nutrition care. All staff talked about competing activities at meal times and felt disempowered to prioritise nutrition in the acute medical setting. Staff agreed education and ‘extra hands’ would address most barriers but did not consider organisational change. Conclusions: Redesigning the model of care to reprioritise meal-time activities and redefine multidisciplinary roles and responsibilities would support coordinated nutrition care. However, effectiveness may also depend on hospitalwide leadership and support to empower staff and increase accountability within a team-led approach.

Bayesian hierarchical models in statistical quality control methods to improve healthcare in hospitals

Quality oriented management systems and methods have become the dominant business and governance paradigm. From this perspective, satisfying customers’ expectations by supplying reliable, good quality products and services is the key factor for an organization and even government. During recent decades, Statistical Quality Control (SQC) methods have been developed as the technical core of quality management and continuous improvement philosophy and now are being applied widely to improve the quality of products and services in industrial and business sectors. Recently SQC tools, in particular quality control charts, have been used in healthcare surveillance. In some cases, these tools have been modified and developed to better suit the health sector characteristics and needs. It seems that some of the work in the healthcare area has evolved independently of the development of industrial statistical process control methods. Therefore analysing and comparing paradigms and the characteristics of quality control charts and techniques across the different sectors presents some opportunities for transferring knowledge and future development in each sectors. Meanwhile considering capabilities of Bayesian approach particularly Bayesian hierarchical models and computational techniques in which all uncertainty are expressed as a structure of probability, facilitates decision making and cost-effectiveness analyses. Therefore, this research investigates the use of quality improvement cycle in a health vii setting using clinical data from a hospital. The need of clinical data for monitoring purposes is investigated in two aspects. A framework and appropriate tools from the industrial context are proposed and applied to evaluate and improve data quality in available datasets and data flow; then a data capturing algorithm using Bayesian decision making methods is developed to determine economical sample size for statistical analyses within the quality improvement cycle. Following ensuring clinical data quality, some characteristics of control charts in the health context including the necessity of monitoring attribute data and correlated quality characteristics are considered. To this end, multivariate control charts from an industrial context are adapted to monitor radiation delivered to patients undergoing diagnostic coronary angiogram and various risk-adjusted control charts are constructed and investigated in monitoring binary outcomes of clinical interventions as well as postintervention survival time. Meanwhile, adoption of a Bayesian approach is proposed as a new framework in estimation of change point following control chart’s signal. This estimate aims to facilitate root causes efforts in quality improvement cycle since it cuts the search for the potential causes of detected changes to a tighter time-frame prior to the signal. This approach enables us to obtain highly informative estimates for change point parameters since probability distribution based results are obtained. Using Bayesian hierarchical models and Markov chain Monte Carlo computational methods, Bayesian estimators of the time and the magnitude of various change scenarios including step change, linear trend and multiple change in a Poisson process are developed and investigated. The benefits of change point investigation is revisited and promoted in monitoring hospital outcomes where the developed Bayesian estimator reports the true time of the shifts, compared to priori known causes, detected by control charts in monitoring rate of excess usage of blood products and major adverse events during and after cardiac surgery in a local hospital. The development of the Bayesian change point estimators are then followed in a healthcare surveillances for processes in which pre-intervention characteristics of patients are viii affecting the outcomes. In this setting, at first, the Bayesian estimator is extended to capture the patient mix, covariates, through risk models underlying risk-adjusted control charts. Variations of the estimator are developed to estimate the true time of step changes and linear trends in odds ratio of intensive care unit outcomes in a local hospital. Secondly, the Bayesian estimator is extended to identify the time of a shift in mean survival time after a clinical intervention which is being monitored by riskadjusted survival time control charts. In this context, the survival time after a clinical intervention is also affected by patient mix and the survival function is constructed using survival prediction model. The simulation study undertaken in each research component and obtained results highly recommend the developed Bayesian estimators as a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances as well as industrial and business contexts. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The empirical results and simulations indicate that the Bayesian estimators are a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The advantages of the Bayesian approach seen in general context of quality control may also be extended in the industrial and business domains where quality monitoring was initially developed.

Developing a best practice model of refugee maternity care

Background: About one third of refugee and humanitarian entrants to Australia are women age 12—44 years. Pregnant women from refugee backgrounds may have been exposed to a range of medical and psychosocial issues that can impact maternal, fetal and neonatal health. Research question: What are the key elements that characterise a best practice model of maternity care for women from refugee backgrounds? This paper outlines the findings of a project which aimed at developing such a model at a major maternity hospital in Brisbane, Australia. Participants and methods: This multifaceted project included a literature review, consultations with key stakeholders, a chart audit of hospital use by African-born women in 2006 that included their obstetric outcomes, a survey of 23 African-born women who gave birth at the hospital in 2007—08, and a survey of 168 hospital staff members. Results: The maternity chart audit identified complex medical and social histories among the women, including anaemia, female circumcision, hepatitis B, thrombocytopenia, and barriers to access antenatal care. The rates of caesarean sections and obstetric complications increased over time. Women and hospital staff surveys indicated the need for adequate interpreting services, education programs for women regarding antenatal and postnatal care, and professional development for health care staff to enhance cultural responsiveness. Discussion and conclusions: The findings point towards the need for a model of refugee maternity care that comprises continuity of carer, quality interpreter services, educational strategies for both women and healthcare professionals, and the provision of psychosocial support to women from refugee backgrounds.

Using staffing ratios for workforce planning : evidence on nine allied health professions - a narrative review

Background: Modern healthcare managers are faced with pressure to deliver effective, efficient services within the context of fixed budget constraints. This requires decisions regarding the skill mix of the workforce particularly when staffing new services. One measure used to identify numbers and mix of staff in healthcare settings is workforce ratio. The aim of this study was to identify workforce ratios in nine allied health professions and to identify whether these measures are useful for planning allied health workforce requirements. Method: A systematic literature search using relevant MeSH headings of business, medical and allied health databases and relevant grey literature for the period 2000-2008 was undertaken. Results: Twelve articles were identified which described the use of workforce ratios in allied health services. Only one of these was a staffing ratio linked to clinical outcomes. The most comprehensive measures were identified in rehabilitation medicine. Conclusions: The evidence for use of staffing ratios for allied health practitioners is scarce and lags behind the fields of nursing and medicine.

A Survey-based Study of Knowledge of Alzheimer's Disease among Health Care Staff

Background Continued aging of the population is expected to be accompanied by substantial increases in the number of people with dementia and in the number of health care staff required to care for them. Adequate knowledge about dementia among health care staff is important to the quality of care delivered to this vulnerable population. The purpose of this study was to assess knowledge about dementia across a range of health care staff in a regional health service district. Methods Knowledge levels were investigated via the validated 30-item Alzheimer's Disease Knowledge Scale (ADKS). All health service district staff with e-mail access were invited to participate in an online survey. Knowledge levels were compared across demographic categories, professional groups, and by whether the respondent had any professional or personal experience caring for someone with dementia. The effect of dementia-specific training or education on knowledge level was also evaluated. Results A diverse staff group (N = 360), in terms of age, professional group (nursing, medicine, allied health, support staff) and work setting from a regional health service in Queensland, Australia responded. Overall knowledge about Alzheimer's disease was of a generally moderate level with significant differences being observed by professional group and whether the respondent had any professional or personal experience caring for someone with dementia. Knowledge was lower for some of the specific content domains of the ADKS, especially those that were more medically-oriented, such as 'risk factors' and 'course of the disease.' Knowledge was higher for those who had experienced dementia-specific training, such as attendance at a series of relevant workshops. Conclusions Specific deficits in dementia knowledge were identified among Australian health care staff, and the results suggest dementia-specific training might improve knowledge. As one piece of an overall plan to improve health care delivery to people with dementia, this research supports the role of introducing systematic dementia-specific education or training.

Cloud computing for healthcare research information sharing

With the widespread application of healthcare Information and Communication Technology (ICT), constructing a stable and sustainable data sharing circumstance has attracted rapidly growing attention in both academic research area and healthcare industry. Cloud computing is one of long dreamed visions of Healthcare Cloud (HC), which matches the need of healthcare information sharing directly to various health providers over the Internet, regardless of their location and the amount of data. In this paper, we discuss important research tool related to health information sharing and integration in HC and investigate the arising challenges and issues. We describe many potential solutions to provide more opportunities to implement EHR cloud. As well, we introduce the development of a HC related collaborative healthcare research example, thus illustrating the prospective of applying Cloud Computing in the health information science research.

Can a childcare practicum encourage degree qualified staff to enter the childcare workforce?

Concern to ensure that all children have access to high quality educational experiences in the early years of life has instigated moves to increase qualifications of staff in the childcare workforce, in particular to increase the number of degree qualified teachers. However existing data suggest that work in the childcare sector is viewed less favourably by those undertaking early childhood education degrees. For most, childcare is not a preferred place of employment. This study asked whether a practicum in a childcare setting would improve attitudes to childcare and willingness to consider working in childcare settings. In a study of a cohort of Bachelor of Education (Early Childhood) students, measures of attitudes to childcare and willingness to work in childcare were taken before and after practicum. Additionally students provided accounts of their practicum experiences. Results indicate a trend in which there was a group increase in positive attitudes and willingness to consider work in childcare but considerable individual differences influenced by the quality of the practicum experience. The relationship with, and model provided by, centre directors and the group leader in the practicum class was identified as key influencing factors. Results are discussed in term of models of pedagogical leadership.

Key priorities for Australian infection control : summary of findings from the launch of the Centre for Research Excellence in Reducing Healthcare Associated Infections

The launch of the Centre of Research Excellence in Reducing Healthcare Associated Infection (CRE-RHAI) took place in Sydney on Friday 12 October 2012. The mission of the CRE-RHAI is to generate new knowledge about strategies to reduce healthcare associated infections and to provide data on the cost-effectiveness of infection control programs. As well as launching the CRE-RHAI, an important part of this event was a stakeholder Consultation Workshop, which brought together several experts in the Australian infection control community. The aims of this workshop were to establish the research and clinical priorities in Australian infection control, assess the importance of various multi-resistant organisms, and to gather information about decision making in infection control. We present here a summary and discussion of the responses we received.