Characteristics and outcomes of patients requiring rapid response system activation within 24 hours of emergency admission

Objectives: 

Data Integration Protocol In Ten-steps (DIPIT) : a new standard for medical researchers

The exponential increase in data, computing power and the availability of readily accessible analytical software has allowed organisations around the world to leverage the benefits of integrating multiple heterogeneous data files for enterprise-level planning and decision making. Benefits from effective data integration to the health and medical research community include more trustworthy research, higher service quality, improved personnel efficiency, reduction of redundant tasks, facilitation of auditing and more timely, relevant and specific information. The costs of poor quality processes elevate the risk of erroneous outcomes, an erosion of confidence in the data and the organisations using these data. To date there are no documented set of standards for best practice integration of heterogeneous data files for research purposes. Therefore, the aim of this paper is to describe a set of clear protocol for data file integration (Data Integration Protocol In Ten-steps; DIPIT) translational to any field of research.

Prevalence of hyponatremia in acute medical admissions in tropical Asia Pacific Australia

To determine prevalence of hyponatremia in acute medical admissions in Northern Australasia.

Emergency department mental health triage scales improve outcomes.

The assessment and management of clients with mental illness is an important facet of providing emergency care. In Australian emergency departments, it is usually the generalist registered nurses* without adequate preparation in the assessment and care for clients with mental illness who conduct the initial assessment at triage. A search of the literature revealed a limited number of publications addressing the provision of triage and management guidelines to assist nurses to make objective clinical decisions to ensure appropriate care for clients with mental illness. This paper examines the need for such guidelines and reviews a number of mental health triage scales that have been evaluated for use in emergency departments. Findings show that these triage scales have led to improvements in staff confidence and attitudes when dealing with clients with mental health problems, resulting in improved outcomes for clients. Strengths and limitations of the evaluations have also been explored. Highlighted is the need for consideration of the inclusion of clients' reactions to the impact of this change to service delivery in future evaluations.

Emergency responses for clinical deterioration within and beyond 24 hours of emergency admission: Patient outcomes and ICU implications

Introduction: The National Emergency Access Target was implemented to ensure 90% of patients leave emergency departments (EDs) within 4h. The impact of time driven performance on the number of physiologically unstable ward-based patients is unknown. An increase in clinical deterioration episodes potentially leading to adverse events will have resource implications for intensive care units (ICUs).
Objectives: To compare the characteristics and outcomes of patients who required an emergency response for clinical deterioration (cardiac arrest team or rapid response system activation) within and beyond 24 h of emergency admission to general medical and surgical units.
Methods: A retrospective exploratory design was used. The study site was a 365 bed urban hospital in Melbourne. Emergency responses for clinical deterioration during 2012 were examined.
Results: Of 819 emergency responses for clinical deterioration, 587 patients were admitted via ED. The median time to first responsewas59h, 28.4% of patients required this <24 h after admission. One in eight patients required ICU admission. Comparison of patients requiring a response within and beyond 24h of admission showed no significant differences in age, gender, waiting times, ED length of stay or in-hospital mortality rates. Patients in whom first emergency response occurred <24h after admission were less likely to be admitted to ICU immediately following the emergency response (7.6% vs 13.9%, p-0.039), less likely to have recurrent emergency responses during their hospitalisation (9.7% vs 34.0%, p<0.001), and had shorter median hospital length of stay (7 vs 11 days, p<0.001).
Conclusions: Considerable ICU resources were utilised given one in eight patients required ICU admission following emergency response, and patients admitted via the ED constituted 55% of all rapid response system activations. Exploring potential antecedents to clinical deterioration in this cohort may assist in establishing risk management strategies to reduce utilisation of ICU resources.

Symptoms and distress in children with advanced cancer: prospective patient-reported outcomes from the PediQUEST Study

PURPOSE: Thousands of children are living with advanced cancer; yet patient-reported outcomes (PROs) have rarely been used to describe their experiences. We aimed to describe symptom distress in 104 children age 2 years or older with advanced cancer enrolled onto the Pediatric Quality of Life and Evaluation of Symptoms Technology (PediQUEST) Study (multisite clinical trial evaluating an electronic PRO system).

METHODS: Symptom data were collected using age- and respondent-adapted versions of the PediQUEST Memorial Symptom Assessment Scale (PQ-MSAS) at most once per week. Clinical and treatment data were obtained from medical records. Individual symptom scores were dichotomized into high/low distress. Determinants of PQ-MSAS scores were explored using linear mixed-effects models.

RESULTS: During 9 months of follow-up, PQ-MSAS was administered 920 times: 459 times in teens (99% self-report), 249 times in children ages 7 to 12 years (96% child/parent report), and 212 times in those ages 2 to 6 years (parent reports). Common symptoms included pain (48%), fatigue (46%), drowsiness (39%), and irritability (37%); most scores indicated high distress. Among the 73 PQ-MSAS surveys administered in the last 12 weeks of life, pain was highly prevalent (62%; 58% with high distress). Being female, having a brain tumor, experiencing recent disease progression, and receiving moderate- or high-intensity cancer-directed therapy in the prior 10 days were associated with worse PQ-MSAS scores. In the final 12 weeks of life, receiving mild cancer-directed therapy was associated with improved psychological PQ-MSAS scores.

CONCLUSION: Children with advanced cancer experience high symptom distress. Strategies to promote intensive symptom management are indicated, especially with disease progression or administration of intensive treatments.

Multisite analysis of the timing and outcomes of unplanned transfers from subacute to acute care

Objective The aim of the present study was to examine the timing and outcomes of patients requiring an unplanned transfer from subacute to acute care. Methods Subacute care in-patients requiring unplanned transfer to an acute care facility within four Victorian health services from 1 January to 31 December 2010 were included in the study. Data were collected using retrospective audit. The primary outcome was transfer within 24h of subacute care admission. Results In all, 431 patients (median age 81 years) had unplanned transfers; of these, 37.8% had a limitation of medical treatment (LOMT) order. The median subacute care length of stay was 43h: 29.0% of patients were transferred within 24h and 83.5% were transferred within 72h of subacute care admission. Predictors of transfer within 24h were comorbidity weighting (odds ratio (OR) 1.1, P≤0.02) and LOMT order (OR 2.1, P<0.01). Hospital admission occurred in 87.2% of patients and 15.4% died in hospital. Predictors of in-hospital mortality were comorbidity weighting (OR 1.2, P<0.01) and the number of physiological abnormalities in the 24h preceding transfer (OR 1.3, P<0.01). Conclusions There is a high rate of unplanned transfers to acute care within 24h of admission to subacute care. Unplanned transfers are associated with high hospital admission and in-hospital mortality rates. What is known about the topic? Subacute care is becoming a high acuity environment where many patients are at significant risk of clinical deterioration. Systems for recognising and responding to deteriorating patients are well developed in acute care, but still developing in subacute care. What does this paper add? This is the first Australian multisite study of clinical deterioration in patients situated in subacute care facilities. One-third of unplanned transfers occur within 24h of admission to subacute care. Patients who require unplanned transfer from subacute to acute care have unexpectedly high hospital admission rates and high in-hospital mortality rates. The frequency and completeness of physiological monitoring preceding transfer was low. What are the implications for practitioners? Patients in subacute care require regular physiological assessment and early escalation of care if there are physiological abnormalities. Risk of clinical deterioration should be a factor in the decision to admit patients to subacute care after an acute illness or injury. There is a need to improve systems for recognising and responding to deteriorating patients in subacute care settings.

Mental health first aid training for Australian medical and nursing students: an evaluation study

BACKGROUND: The role and demands of studying nursing and medicine involve specific stressors that may contribute to an increased risk for mental health problems. Stigma is a barrier to help-seeking for mental health problems in nursing and medical students, making these students vulnerable to negative outcomes including higher failure rates and discontinuation of study. Mental Health First Aid (MHFA) is a potential intervention to increase the likelihood that medical and nursing students will support their peers to seek help for mental health problems. This study aimed to evaluate the effectiveness of a tailored MHFA course for nursing and medical students.

METHODS: Nursing and medical students self-selected into either a face-to-face or online tailored MHFA course. Four hundred and thirty-four nursing and medical students completed pre- and post-course surveys measuring mental health first aid intentions, mental health literacy, confidence in providing help, stigmatising attitudes and satisfaction with the course.

RESULTS: The results of the study showed that both the online and face-to-face courses improved the quality of first aid intentions towards a person experiencing depression, and increased mental health literacy and confidence in providing help. The training also decreased stigmatizing attitudes and desire for social distance from a person with depression.

CONCLUSION: Both online and face-to-face tailored MHFA courses have the potential to improve outcomes for students with mental health problems, and may benefit the students in their future professional careers.

A hybrid FAM–CART model and its application to medical data classification

In this paper, a hybrid model consisting of the fuzzy ARTMAP (FAM) neural network and the classification and regression tree (CART) is formulated. FAM is useful for tackling the stability–plasticity dilemma pertaining to data-based learning systems, while CART is useful for depicting its learned knowledge explicitly in a tree structure. By combining the benefits of both models, FAM–CART is capable of learning data samples stably and, at the same time, explaining its predictions with a set of decision rules. In other words, FAM–CART possesses two important properties of an intelligent system, i.e., learning in a stable manner (by overcoming the stability–plasticity dilemma) and extracting useful explanatory rules (by overcoming the opaqueness issue). To evaluate the usefulness of FAM–CART, six benchmark medical data sets from the UCI repository of machine learning and a real-world medical data classification problem are used for evaluation. For performance comparison, a number of performance metrics which include accuracy, specificity, sensitivity, and the area under the receiver operation characteristic curve are computed. The results are quantified with statistical indicators and compared with those reported in the literature. The outcomes positively indicate that FAM–CART is effective for undertaking data classification tasks. In addition to producing good results, it provides justifications of the predictions in the form of a decision tree so that domain users can easily understand the predictions, therefore making it a useful decision support tool.

Clinical review criteria and medical emergency teams: evaluating a two-tier rapid response system

OBJECTIVES: To assess the prevalence of patients fulfilling clinical review criteria (CRC), to determine activation rates for CRC assessments, to compare baseline characteristics and outcomes of patients who fulfilled CRC with patients who did not, and to identify the documented nursing actions in response to CRC values. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional study using a retrospective medical record audit, in a universityaffiliated, tertiary referral hospital with a two-tier rapid response system in Melbourne, Australia. We used a convenience sample of hospital inpatients on general medical, surgical and specialist service wards admitted during a 24-hour period in 2013. MAIN OUTCOME MEASURES: Medical emergency team (MET) or code blue activation, unplanned intensive care unit admissions, hospital length of stay and inhospital mortality. For patients who fulfilled CRC or MET criteria during the 24- hour period, the specific criteria fulfilled, escalation treatments and outcomes were collected. RESULTS: Of the sample (N = 422), 81 patients (19%) fulfilled CRC on 109 occasions. From 109 CRC events, 66 patients (81%) had at least one observation fulfilling CRC, and 15 patients (18%) met CRC on multiple occasions. The documented escalation rate was 58 of 109 events (53%). The number of patients who fulfilled CRC and subsequent MET call activation criteria within 24 hours was significantly greater than the number who did not meet CRC (P < 0.001). CONCLUSIONS: About one in five patients reached CRC during the study period; these patients were about four times more likely to also fulfil MET call criteria. Contrary to hospital policy, escalation was not documented for about half the patients meeting CRC values. Despite the clarity of escalation procedures on the graphic observation chart, escalation remains an ongoing problem. Further research is needed on the impact on patient outcomes over time and to understand factors influencing staff response.

Improved risk predictions via sparse imputation of patient conditions in electronic medical records

Electronic Medical Records (EMR) are increasingly used for risk prediction. EMR analysis is complicated by missing entries. There are two reasons - the “primary reason for admission” is included in EMR, but the co-morbidities (other chronic diseases) are left uncoded, and, many zero values in the data are accurate, reflecting that a patient has not accessed medical facilities. A key challenge is to deal with the peculiarities of this data - unlike many other datasets, EMR is sparse, reflecting the fact that patients have some, but not all diseases. We propose a novel model to fill-in these missing values, and use the new representation for prediction of key hospital events. To “fill-in” missing values, we represent the feature-patient matrix as a product of two low rank factors, preserving the sparsity property in the product. Intuitively, the product regularization allows sparse imputation of patient conditions reflecting common comorbidities across patients. We develop a scalable optimization algorithm based on Block coordinate descent method to find an optimal solution. We evaluate the proposed framework on two real world EMR cohorts: Cancer (7000 admissions) and Acute Myocardial Infarction (2652 admissions). Our result shows that the AUC for 3 months admission prediction is improved significantly from (0.741 to 0.786) for Cancer data and (0.678 to 0.724) for AMI data. We also extend the proposed method to a supervised model for predicting of multiple related risk outcomes (e.g. emergency presentations and admissions in hospital over 3, 6 and 12 months period) in an integrated framework. For this model, the AUC averaged over outcomes is improved significantly from (0.768 to 0.806) for Cancer data and (0.685 to 0.748) for AMI data.

Incident delirium in the acute general medical setting

 Delirium is a serious neuro‐cognitive disorder that affects many people admitted to hospital. Results of this research have contributed valuable knowledge regarding the risk factors, health outcomes and management of medical patients with who developed incident delirium during hospitalisation.

The influence of depression and other co-occurring conditions on treatment outcomes for problem gamblers : a cohort study

Objective: To examine the influence of co-occurring conditions on gambling treatment outcomes.

Design, setting and participants: Prospective cohort study of problem gamblers. Participants were recruited from consecutive referrals to a gambling therapy service in 2008. Inclusion criteria were: (i) assessed as a problem gambler based on a screening interview including DSM-IV criteria for pathological gambling, and (ii) suitable for admission to a treatment program. Cognitive-behavioural therapy was based on graded exposure-to-gambling urge. One-to-one treatment was conducted with 1-hour sessions weekly for up to 12 weeks.

Main outcome measures: Problem gambling screening and co-occurring conditions including depression, anxiety and alcohol use.

Results: Of 127 problem gamblers, 69 were males (54%), mean age was 43.09 years, and 65 (51%) reported a duration of problem gambling greater than 5 years. Median time for participants’ enrolment in the study was 8.9 months. Results from mixed effects logistic regression analysis indicated that individuals with higher depression levels had a greater likelihood (13% increase in odds [95% CI, 1%–25%]) of problem gambling during treatment and at follow-up.

Conclusion: Addressing depression may be associated with improved treatment outcomes in problem gambling; conversely, treatment of problem gambling improves affective instability. We therefore recommend a dual approach that treats both depression and problem gambling.

Can early dietetic intervention improve outcomes in patients with hip fracture?

Aim: To assess whether the introduction of a new approach to nutritional care for hip fracture patients, in both acute and subacute admissions, can improve nutritional status, length of stay and pressure injuries. Methods: Medical records of patients admitted to Austin Health, Melbourne, Australia with a fractured hip between January and June 2014 after implementation of a new nutritional care guideline were compared to a historical control group admitted between January and June 2013 prior to introduction of the guideline. Data were collected for both acute and subacute admissions and included length of stay, date of first contact with a dietitian, subjective global assessment category and occurrence of pressure injuries. Results: There was a significantly shorter length of stay overall for patients who received care under the new guideline (21.6 ± 15.1 vs 26.4 ± 20.4 days; P = 0.043) and during the subacute admission (20.1 ± 10.6 vs 28.8 ± 15.8 days; P < 0.001); however, there was no significant difference in the acute hospital length of stay period. The post-guideline group had a significantly shorter time between admission and first contact with a dietitian (4.8 ± 3.3 vs 7.5 ± 6.2 days; P < 0.001). Post-guideline patients also had a significantly lower incidence of pressure injuries with 29, compared to 41 in pre-guideline patients (P = 0.045). There were significantly less malnourished patients in the post-guideline group compared to the pre-guideline group across both acute and subacute admissions (29% vs 35%; P = 0.015). Conclusions: A nutritional care guideline for patients with hip fractures is associated with improved patient outcomes with a significant reduction in overall and subacute length of stay and pressure injury incidence and earlier dietetic assessment and intervention.

Academic outcomes 2 years after working memory training for children with low working memory: a randomized clinical trial

IMPORTANCE: Working memory training may help children with attention and learning difficulties, but robust evidence from population-level randomized controlled clinical trials is lacking.

OBJECTIVE: To test whether a computerized adaptive working memory intervention program improves long-term academic outcomes of children 6 to 7 years of age with low working memory compared with usual classroom teaching.

DESIGN, SETTING, AND PARTICIPANTS: Population-based randomized controlled clinical trial of first graders from 44 schools in Melbourne, Australia, who underwent a verbal and visuospatial working memory screening. Children were classified as having low working memory if their scores were below the 15th percentile on either the Backward Digit Recall or Mister X subtest from the Automated Working Memory Assessment, or if their scores were below the 25th percentile on both. These children were randomly assigned by an independent statistician to either an intervention or a control arm using a concealed computerized random number sequence. Researchers were blinded to group assignment at time of screening. We conducted our trial from March 1, 2012, to February 1, 2015; our final analysis was on October 30, 2015. We used intention-to-treat analyses.

INTERVENTION: Cogmed working memory training, comprising 20 to 25 training sessions of 45 minutes' duration at school.

MAIN OUTCOMES AND MEASURES: Directly assessed (at 12 and 24 months) academic outcomes (reading, math, and spelling scores as primary outcomes) and working memory (also assessed at 6 months); parent-, teacher-, and child-reported behavioral and social-emotional functioning and quality of life; and intervention costs.

RESULTS: Of 1723 children screened (mean [SD] age, 6.9 [0.4] years), 226 were randomized to each arm (452 total), with 90% retention at 1 year and 88% retention at 2 years; 90.3% of children in the intervention arm completed at least 20 sessions. Of the 4 short-term and working memory outcomes, 1 outcome (visuospatial short-term memory) benefited the children at 6 months (effect size, 0.43 [95% CI, 0.25-0.62]) and 12 months (effect size, 0.49 [95% CI, 0.28-0.70]), but not at 24 months. There were no benefits to any other outcomes; in fact, the math scores of the children in the intervention arm were worse at 2 years (mean difference, -3.0 [95% CI, -5.4 to -0.7]; P = .01). Intervention costs were A$1035 per child.

CONCLUSIONS AND RELEVANCE: Working memory screening of children 6 to 7 years of age is feasible, and an adaptive working memory training program may temporarily improve visuospatial short-term memory. Given the loss of classroom time, cost, and lack of lasting benefit, we cannot recommend population-based delivery of Cogmed within a screening paradigm.