Emergency department rapid response systems: the case for a standardized approach to deteriorating patients

Objectives: 

Patient participation in medication safety during an acute care admission

Background : Patient participation in medication management during hospitalization is thought to reduce medication errors and, following discharge, improve adherence and therapeutic use of medications. There is, however, limited understanding of how patients participate in their medication management while hospitalized.Objective : To explore patient participation in the context of medication management during a hospital admission for a cardiac surgical intervention of patients with cardiovascular disease.Design : Single institution, case study design. The unit of analysis was a cardiothoracic ward of a major metropolitan, tertiary referral hospital in Melbourne, Australia. Multiple methods of data collection were used including pre-admission and pre-discharge patient interviews (n = 98), naturalistic observations (n = 48) and focus group interviews (n = 2).Results : All patients had changes made to their pre-operative cardiovascular medications as a consequence of surgery. More patients were able to list and state the purpose and side-effects of their cardiovascular medications at pre-admission than prior to discharge from hospital. There was very little evidence that nurses used opportunities such as medication administration times to engage patients in medication management during hospital admission.Discussion and Conclusions : Failure to engage patients in medication management and provide opportunities for patients to learn about changes to their medications has implications for the quality and safety of care patients receive in hospital and when managing their medications once discharged. To increase the opportunity for patients to participate in medication management, a fundamental shift in the way nurses currently provide care is required.

Validity of the Hospital Anxiety and Depression Scale and Patient Health Questionnaire-9 to screen for depression in patients with coronary artery disease.

Depression is common but frequently undetected in patients with coronary artery disease (CAD). Self-report screening instruments for assessing depression such as the Hospital Anxiety and Depression Scale (HADS) and the Patient Health Questionnaire-9 (PHQ-9) are available but their validity is typically determined in depressed patients without comorbid somatic illness. We investigated the validity of these instruments relative to a referent diagnostic standard in recently hospitalized patients with CAD.

Cost-effectiveness of dalteparin vs unfractionated heparin for the prevention of venous thromboembolism in critically ill patients

Venous thromboembolism (VTE) is a common complication of acute illness, and its prevention is a ubiquitous aspect of inpatient care. A multicenter blinded, randomized trial compared the effectiveness of the most common pharmocoprevention strategies, unfractionated heparin (UFH) and the low-molecular-weight heparin (LMWH) dalteparin, finding no difference in the primary end point of leg deep-vein thrombosis but a reduced rate of pulmonary embolus and heparin-induced thrombocytopenia among critically ill medical-surgical patients who received dalteparin.

A framework for cloud-based healthcare services to monitor noncommunicable diseases patient

Monitoring patients who have noncommunicable diseases is a big challenge. These illnesses require a continuous monitoring that leads to high cost for patients' healthcare. Several solutions proposed reducing the impact of these diseases in terms of economic with respect to quality of services. One of the best solutions is mobile healthcare, where patients do not need to be hospitalized under supervision of caregivers. This paper presents a new hybrid framework based on mobile multimedia cloud that is scalable and efficient and provides cost-effective monitoring solution for noncommunicable disease patient. In order to validate the effectiveness of the framework, we also propose a novel evaluation model based on Analytical Hierarchy Process (AHP), which incorporates some criteria from multiple decision makers in the context of healthcare monitoring applications. Using the proposed evaluation model, we analyzed three possible frameworks (proposed hybrid framework, mobile, and multimedia frameworks) in terms of their applicability in the real healthcare environment.

Speed up health research through topic modeling of coded clinical data

Although random control trial is the gold standard in medical research, researchers are increasingly looking to alternative data sources for hypothesis generation and early-stage evidence collection. Coded clinical data are collected routinely in most hospitals. While they contain rich information directly related to the real clinical setting, they are both noisy and semantically diverse, making them difficult to analyze with conventional statistical tools. This paper presents a novel application of Bayesian nonparametric modeling to uncover latent information in coded clinical data. For a patient cohort, a Bayesian nonparametric model is used to reveal the common comorbidity groups shared by the patients and the proportion that each comorbidity group is reflected individual patient. To demonstrate the method, we present a case study based on hospitalization coding from an Australian hospital. The model recovered 15 comorbidity groups among 1012 patients hospitalized during a month. When patients from two areas of unequal socio-economic status were compared, it reveals higher prevalence of diverticular disease in the region of lower socio-economic status. The study builds a convincing case for routine coded data to speed up hypothesis generation.

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Electronic Medical Record (EMR) has established itself as a valuable resource for large scale analysis of health data. A hospital EMR dataset typically consists of medical records of hospitalized patients. A medical record contains diagnostic information (diagnosis codes), procedures performed (procedure codes) and admission details. Traditional topic models, such as latent Dirichlet allocation (LDA) and hierarchical Dirichlet process (HDP), can be employed to discover disease topics from EMR data by treating patients as documents and diagnosis codes as words. This topic modeling helps to understand the constitution of patient diseases and offers a tool for better planning of treatment. In this paper, we propose a novel and flexible hierarchical Bayesian nonparametric model, the word distance dependent Chinese restaurant franchise (wddCRF), which incorporates word-to-word distances to discover semantically-coherent disease topics. We are motivated by the fact that diagnosis codes are connected in the form of ICD-10 tree structure which presents semantic relationships between codes. We exploit a decay function to incorporate distances between words at the bottom level of wddCRF. Efficient inference is derived for the wddCRF by using MCMC technique. Furthermore, since procedure codes are often correlated with diagnosis codes, we develop the correspondence wddCRF (Corr-wddCRF) to explore conditional relationships of procedure codes for a given disease pattern. Efficient collapsed Gibbs sampling is derived for the Corr-wddCRF. We evaluate the proposed models on two real-world medical datasets - PolyVascular disease and Acute Myocardial Infarction disease. We demonstrate that the Corr-wddCRF model discovers more coherent topics than the Corr-HDP. We also use disease topic proportions as new features and show that using features from the Corr-wddCRF outperforms the baselines on 14-days readmission prediction. Beside these, the prediction for procedure codes based on the Corr-wddCRF also shows considerable accuracy.

SA HealthPlus : a controlled trial of a statewide application of a generic model of chronic illness care

SA HealthPlus, one of nine national Australian coordinated care trials, addressed chronic illness care by testing whether coordinated care would improve health outcomes at the cost of usual care. SA HealthPlus compared a generic model of coordinated care for 3,115 intervention patients with the usual care for 1,488 controls. Service coordinators and the behavioral and care-planning approach were new. The health status (SF-36) in six of eight projects improved, and those patients who had been hospitalized in the year immediately preceding the trial were the most likely to save on costs. A mid-trial review found that health benefits from coordinated care depended more on patients' self-management than the severity of their illness, a factor leading to the Flinders Model of Self-Management Support.

An analysis of nursing students' decision-making in teams during simulations of acute patient deterioration

AIM: The aim of this study was to examine the decision-making of nursing students during team based simulations on patient deterioration to determine the sources of information, the types of decisions made and the influences underpinning their decisions.

BACKGROUND: Missed, misinterpreted or mismanaged physiological signs of deterioration in hospitalized patients lead to costly serious adverse events. Not surprisingly, an increased focus on clinical education and graduate nurse work readiness has resulted.

DESIGN: A descriptive exploratory design.

METHODS: Clinical simulation laboratories in three Australian universities were used to run team based simulations with a patient actor. A convenience sample of 97 final-year nursing students completed simulations, with three students forming a team. Four teams from each university were randomly selected for detailed analysis. Cued recall during video review of team based simulation exercises to elicit descriptions of individual and team based decision-making and reflections on performance were audio-recorded post simulation (2012) and transcribed.

RESULTS: Students recalled 11 types of decisions, including: information seeking; patient assessment; diagnostic; intervention/treatment; evaluation; escalation; prediction; planning; collaboration; communication and reflective. Patient distress, uncertainty and a lack of knowledge were frequently recalled influences on decisions.

CONCLUSIONS: Incomplete information, premature diagnosis and a failure to consider alternatives when caring for patients is likely to lead to poor quality decisions. All health professionals have a responsibility in recognizing and responding to clinical deterioration within their scope of practice. A typology of nursing students' decision-making in teams, in this context, highlights the importance of individual knowledge, leadership and communication.

A profile of four patterns of vulnerability to functional decline in older general medicine patients in Victoria, Australia: a cross sectional survey

BACKGROUND: There are limited published data reporting Australian hospitalized elders' vulnerability to functional decline to guide best practice interventions. The objectives of this study were to describe the prevalence of vulnerability to functional decline and explore profiles of vulnerability related to the performance of physical activity in a representative group of elders in a single centre in Victoria, Australia.

METHODS: A cross-sectional survey of patients aged ≥ 70 years (Mean age 82.4, SD 7 years) admitted to a general medical ward of an Australian tertiary-referral metropolitan public hospital from March 2010 to March 2011 (n = 526). Patients were screened using the Vulnerable Elders Survey (VES-13). Distinct typologies of physical difficulties were identified using latent class analysis.

RESULTS: Most elders scored ≥3/10 on the VES-13 and were rated vulnerable to functional decline (n = 480, 89.5 %). Four distinct classes of physical difficulty were identified: 1) Elders with higher physical functioning (n = 114, 21.7 %); 2) Ambulant elders with diminished strength (n = 24, 4.6 %); 3) Elders with impaired mobility, strength and ability to stoop (n = 267, 50.8 %) and 4) Elders with extensive physical impairment (n = 121, 23 %) Vulnerable elders were distributed through all classes.

CONCLUSIONS: Older general medicine patients in Victoria, Australia, are highly vulnerable to functional decline. We identified four distinct patterns of physical difficulties associated with vulnerability to functional decline that can inform health service planning, delivery and education.

An integrated model of care for inflammatory bowel disease sufferers in Australia: development and the effects of its implementation.

BACKGROUND: Psychological comorbidities are associated with poor outcome and increased healthcare utilization in patients with inflammatory bowel disease (IBD). However, a model of care addressing the biopsychosocial dimension of disease is not routinely applied in IBD. This review describes the development of such a model and the effects of its implementation in a hospital-based cohort of patients with IBD. METHODS: Three different approaches were used: 1) collecting baseline epidemiological data on mental health comorbidities; 2) raising awareness of and targeting mental health problems; 3) examining the effects of the model implementation. RESULTS: High rates of anxiety and depressive symptoms (36% and 13%, respectively) that are maintained over time were identified in IBD patients presenting at a metropolitan teaching hospital. Patients with documented psychological comorbidities were more likely to be hospitalized than those without (odds ratio [OR] = 4.13, 95% confidence interval [CI]: 1.25, 13.61). Improvements in disease activity, anxiety, depression, quality of life, and coping have been noted when cognitive-behavioral therapy (CBT) was provided to patients. A drop in the use of opiates (P = 0.037) and hospitalization rates (from 48% to 30%) in IBD patients has been noted as a result of introduction of the changed model of care. In addition, the mean total cost of inpatient care was lower for IBD patients than controls (US$12,857.48 [US$15,236.79] vs. US$ 30,467.78 [US$ 53,760.20], P = 0.005). CONCLUSION: Our data to date suggest that an integrated model of care for patients with IBD may yield superior long-term outcomes in terms of medication use and hospitalization rates and reduce healthcare costs.