Operation of guardianship laws in the emergency ward

Enduring and workable legislative schemes typically include (a) a balanced approach to the rights and duties of all parties under their purview; and (b) consideration of all major consequences that may flow from the codification of underpinning doctrines. This column examines the 1999 amendments to the Guardianship and Administration Act 1986 (Vic) regulating patients’ consent to medical treatment focusing on their application in modern emergency departments. The legislation needs to reconcile the human rights principle that humane and appropriate treatment is a fundamental right of all those who suffer from ill health and disease, with the principle that all patients (including those with impaired, but not totally absent, decisional capacity) have an absolute right to refuse life-saving treatment. Consent and refusal of treatment provisions should be based on the notion of reasonableness, including recognition that the mental and emotional states experienced by physically ill people may, in the short term, adversely affect their decision-making capacity. Unless the consent legislation factors in the realities of modern emergency practice and resources, statutory thresholds for decisional competence, instead of affording protection, may result in much worse outcomes for vulnerable patients.

'Mother, teacher, adviser and missionary' : Matilda Ward in North Queensland, 1891–1917

This chapter focuses on Matilda Ward, a missionary at the Presbyterian mission of Mapoon, north Queensland, and the first paid woman missionary to work on an Aboriginal mission. It examines the factors that led to Ward’s employment on the mission, the role that she played in the life of the mission and the consequences of her actions for Indigenous mission residents. While Matilda Ward was unusual for her time, her experience points to broader shifts in missionary practice and attitudes to gender within the Australian churches, particularly through the development of women’s missionary societies.

Clinical outcomes associated with screening and referral for depression in an acute cardiac ward

Aim.  The aim of this paper is to describe the implementation of a depression screening and referral tool in two cardiac wards of a major metropolitan public hospital. The tool consisted of two sections: (1) screening for depression risk (Cardiac Depression Scale-5) and (2) consequential referral actions.

Background.  Prior research has shown that depression in patients with heart disease is associated with significantly impaired quality of life, decreased medication adherence, increased morbidity and increased use of healthcare services.

Design.  A prospective in-patient study design.

Method.  A consecutive sample of 202 patients admitted to either the cardiac medical (n = 145) or surgical (n = 57) wards of a major Melbourne metropolitan hospital were recruited into the study over an 18-week period.

Results.  Just over half (54%) of the patients were identified as ‘at risk’ of depression. Of these, 19% were assessed as moderate risk and 35% high risk. Of those patients, 91% had the risk score documented in their medical history, 90% had engaged in discussions with clinicians regarding their risk score, 85% had their risk score communicated formally to the medical team and 25% were formally referred for appropriate follow-up – significantly more than prior to implementation of the screening and referral tool.

Conclusions.  By providing a formalised mechanism for detecting depression, documented screening and referral rates improved for those with comorbid depression and heart disease affording an opportunity for early intervention. These findings support a move towards integrated approaches to screening of depression to become standard practice in the acute cardiac setting.

Relevance to clinical practice.  Such mechanisms also have the potential to initiate the development of new models of care that acknowledge the complexity of comorbid depression and heart disease and provide pathways from speciality to primary care which integrate the physical and psychosocial domains inclusive of screening, referral, systematic monitoring and streamlined behavioural and physical care.

Estimating the intensity of ward admission and its effect on emergency department access block

Emergency department access block is an urgent problem faced by many public hospitals today. When access block occurs, patients in need of acute care cannot access inpatient wards within an optimal time frame. A widely held belief is that access block is the end product of a long causal chain, which involves poor discharge planning, insufficient bed capacity, and inadequate admission intensity to the wards. This paper studies the last link of the causal chain-the effect of admission intensity on access block, using data from a metropolitan hospital in Australia. We applied several modern statistical methods to analyze the data. First, we modeled the admission events as a nonhomogeneous Poisson process and estimated time-varying admission intensity with penalized regression splines. Next, we established a functional linear model to investigate the effect of the time-varying admission intensity on emergency department access block. Finally, we used functional principal component analysis to explore the variation in the daily time-varying admission intensities. The analyses suggest that improving admission practice during off-peak hours may have most impact on reducing the number of ED access blocks.

Achieving eating independence in an acute stroke ward : Developing a collaborative care plan

Aim: This article outlines the development and implementation of a collaborative feeding care plan (FCP) for stroke patients in an acute stroke ward. The aim of this pilot study was to evaluate the impact of an ecological intervention to improve eating independence in an acute stroke ward environment. Methods: An action research approach comprising seven stages—determine the initial problem, develop the care plan, act, reflect and monitor progress, evaluate, reflect, and refine plan—was used to track environmental changes during the development and implementation of the FCP in an acute stroke ward in an Australian regional hospital. During the evaluation phase, six allied health staff completed a survey on the FCP. The staff also completed an observation assessment integrating the Eating Disability Scale, Functional Independence Measure and Canadian Occupational Performance Measure with 12 participants with acute stoke (participants with FCP=6; participants without FCP=6). Results: The FCP group showed significant improvements in upper limb independence (p=0.046), when comparing mean admission scores (3.5±0.97) with discharge scores (4.17±2.14). Clinically significant improvements in levels of collaboration between health professionals were also demonstrated. Conclusions: The changes in team collaboration and the patient’s upper limb independence indicate how environmental change can influence acute stroke patient outcomes. It is recommended that this study be expanded to further explore the effect of ecological interventions and change.

Interprofessional learning at work: what spatial theory can tell us about workplace learning in an acute care ward

It is widely recognized that every workplace potentially provides a rich source of learning. Studies focusing on health care contexts have shown that social interaction within and between professions is crucial in enabling professionals to learn through work, address problems and cope with challenges of clinical practice. While hospital environments are beginning to be understood in spatial terms, the links between space and interprofessional learning at work have not been explored. This paper draws on Lefebvre’s tri-partite theoretical framework of perceived, conceived and lived space to enrich understandings of interprofessional learning on an acute care ward in an Australian teaching hospital. Qualitative analysis was undertaken using data from observations of Registered Nurses at work and semi-structured interviews linked to observed events. The paper focuses on a ward round, the medical workroom and the Registrar’s room, comparing and contrasting the intended (conceived), practiced (perceived) and pedagogically experienced (lived) spatial dimensions. The paper concludes that spatial theory has much to offer understandings of interprofessional learning in work, and the features of work environments and daily practices that produce spaces that enable or constrain learning.

Nursing handover from ICU to cardiac ward: standardised tools to reduce safety risks

BACKGROUND: Standardising handover processes and content, and using context-specific checklists are proposed as solutions to mitigate risks for preventable errors and patient harm associated with clinical handovers. OBJECTIVES: Adapt existing tools to standardise nursing handover from the intensive care unit (ICU) to the cardiac ward and assess patient safety risks before and after pilot implementation. METHODS: A three-stage, pre-post interrupted time-series design was used. Data were collected using naturalistic observations and audio-recording of 40 handovers and focus groups with 11 nurses. In Stage 1, examination of existing practice using observation of 20 handovers and a focus group interview provided baseline data. In Stage 2, existing tools for high-risk handovers were adapted to create tools specific to ICU-to-ward handovers. The adapted tools were introduced to staff using principles from evidence-based frameworks for practice change. In Stage 3, observation of 20 handovers and a focus group with five nurses were used to verify the design of tools to standardise handover by ICU nurses transferring care of cardiac surgical patients to ward nurses. RESULTS: Stage 1 data revealed variable and unsafe ICU-to-ward handover practices: incomplete ward preparation; failure to check patient identity; handover located away from patients; and information gaps. Analyses informed adaptation of process, content and checklist tools to standardise handover in Stage 2. Compared with baseline data, Stage 3 observations revealed nurses used the tools consistently, ward readiness to receive patients (10% vs 95%), checking patient identity (0% vs 100%), delivery of handover at the bedside (25% vs 100%) and communication of complete information (40% vs 100%) improved. CONCLUSION: Clinician adoption of tools to standardise ICU-to-ward handover of cardiac surgical patients reduced handover variability and patient safety risks. The study outcomes provide context-specific tools to guide handover processes and delivery of verbal content, a safety checklist, and a risk recognition matrix.

Patient physiological status at the emergency department-ward interface and emergency calls for clinical deterioration during early hospital admission

AIMS: To examine the relationship between physiological status at the emergency department-ward interface and emergency calls (medical emergency team or cardiac arrest team activation) during the first 72 hours of hospital admission. BACKGROUND: Ward adverse events are related to abnormal physiology in emergency department however the relationship between physiology at the emergency department-ward interface and ward adverse events is unknown. DESIGN: Descriptive and exploratory design. METHODS: The study involved 1980 patients at three hospitals in Melbourne Australia: i) 660 randomly selected adults admitted via the emergency department to medical or surgical wards during 2012 and who had an emergency call; and ii) 1320 adults without emergency calls matched for gender, triage category, usual residence, admitting unit and age. RESULTS/FINDINGS: The median age was 78 years and 48·8% were males. The median time to the first emergency call was 18·8 hours and ≥1 abnormal parameters were documented in 34·9% of patients during the last hour of ED care and 47·1% of patients during first hour of ward care. Emergency calls were significantly more common in patients with heart rate and conscious state abnormalities during the last hour of emergency care and abnormal oxygen saturation, heart rate or respiratory rate during the first hour of ward care. Medical emergency team afferent limb failure occurred in 55·3% patients with medical emergency team activation criteria during first hour of ward care. CONCLUSION: The use of physiological status at the emergency department-ward interface to guide care planning and reasons for and outcomes of medical emergency team afferent limb failure are important areas for future research.

Forecasting daily patient outflow from a ward having no real-time clinical data

OBJECTIVE: Our study investigates different models to forecast the total number of next-day discharges from an open ward having no real-time clinical data.

METHODS: We compared 5 popular regression algorithms to model total next-day discharges: (1) autoregressive integrated moving average (ARIMA), (2) the autoregressive moving average with exogenous variables (ARMAX), (3) k-nearest neighbor regression, (4) random forest regression, and (5) support vector regression. Although the autoregressive integrated moving average model relied on past 3-month discharges, nearest neighbor forecasting used median of similar discharges in the past in estimating next-day discharge. In addition, the ARMAX model used the day of the week and number of patients currently in ward as exogenous variables. For the random forest and support vector regression models, we designed a predictor set of 20 patient features and 88 ward-level features.

RESULTS: Our data consisted of 12,141 patient visits over 1826 days. Forecasting quality was measured using mean forecast error, mean absolute error, symmetric mean absolute percentage error, and root mean square error. When compared with a moving average prediction model, all 5 models demonstrated superior performance with the random forests achieving 22.7% improvement in mean absolute error, for all days in the year 2014.

CONCLUSIONS: In the absence of clinical information, our study recommends using patient-level and ward-level data in predicting next-day discharges. Random forest and support vector regression models are able to use all available features from such data, resulting in superior performance over traditional autoregressive methods. An intelligent estimate of available beds in wards plays a crucial role in relieving access block in emergency departments.