Knowledge and perceptions of newly graduated medical practitioners in Malaysia of their role in medical care of people with developmental disabilities

Improving content and consistency on developmental disabilities in undergraduate medical curricula has been recommended as a means of improving health outcomes for people with developmental disabilities. Although often the subject of studies in Western countries, little is known about content on developmental disabilities in undergraduate curricula in developing countries. A study was undertaken to: (1) explore content and experience with developmental disabilities received in undergraduate training by medical practitioners in Malaysia; and (2) explore perceptions of their role in the identification and management of developmental disabilities in practice. Comparisons were made according to location of training. Data were collected using a 107-item questionnaire that was administered to 230 newly graduated house officers on their first rotations in seven public hospitals in Peninsula Malaysia. Deficits and inconsistencies were indicated in both content and experience of developmental disabilities during training. Uncertainty about their role in the identification and management of developmental disabilities was evident. Greater inconsistencies and deficits were evident for respondents trained in Eastern and Middle Eastern countries compared with those trained in Malaysia and Western countries. Results suggest a need for increased content, consistency, and intentional exposure in relation to developmental disabilities during undergraduate training across all training settings.

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.

Impact of worksite health-promotion programs in hospital admission costs and medical leaves in a sample of brazilian companies

Programas de saúde e bem-estar têm sido adotados por empresas como forma de melhorar a saúde de empregados, e muitos estudos descrevem retornos econômicos positivos sobre os investimentos envolvidos. Entretanto, estudos mais recentes com metodologia melhor têm demonstrado retornos menores. O objetivo deste estudo foi investigar se características de programas de saúde e bem-estar agem como preditores de custos de internação hospitalar (em Reais correntes) e da proporção de funcionários que têm licença médica, entre Abril de 2014 e Maio de 2015, em uma amostra não-aleatória de empresas no Brasil, através de parceria com uma empresa gestora de ‘big data’ para saúde. Um questionário sobre características de programas de saúde no ambiente de trabalho foi respondida por seis grandes empresas brasileiras. Dados retirados destes seis questionários (presença e idade de programa de saúde, suas características – inclusão de atividades de screening, educação sobre saúde, ligação com outros programas da empresa, integração do programa à estrutura da empresa, e ambientes de trabalho voltado para a saúde – e a adoção de incentivos financeiros para aderência de funcionários ao programa), bem como dados individuais de idade, gênero e categoria de plano de saúde de cada empregado , foram usados para construir um banco de dados com mais de 76.000 indivíduos. Através de um modelo de regressão múltipla e seleção ‘stepwise’ de variáveis, a idade do empregado foi positivamente associada e a idade do programa de saúde e a categoria ‘premium’ de plano de saúde do funcionário foram negativamente associadas aos custos de internação hospitalar (como esperado). Inesperadamente, a inclusão de programas de screening e iniciativas de educação de saúde nos programas de saúde e bem-estar nas empresas foram identificados como preditores positivos significativos para custos de admissão hospitalar. Para evitar a inclusão errônea de licenças-maternidade, apenas os dados de licença médica de pacientes do sexo masculino foram analisados (dados disponíveis apenas para duas entre as companhias incluídas, com um total de 18.957 pacientes do sexo masculino). Analisando estes dados através de um teste Z para comparação de proporções, a empresa com programa de saúde que inclui atividades voltadas a cessação de hábitos ruins (como tabagismo e etilismo), controle de diabetes e hipertensão, e que adota incentivos financeiros para a aderência de funcionários ao programa tem menor proporção de empregados com licençca médica no período analisado, quando comparada com a outra empresa que não tem estas características (também conforme esperado). Entretanto, a companhia com menor proporção de funcionários com licença médica também foi aquela que adota programa de screening entre as atividades de seu programa de saúde. Potenciais fontes de ameaça à validade interna e externa destes resultados são discutidas, bem como possíveis explicações para a associação entre programas de screening e educação médica a piores indicadores de saúde nesta amostra de companhias são discutidas. Novos estudos com melhor desenho, com amostras maiores e randômicas são necessários para validar estes resultados e possivelmente melhorar a validade interna e externa destes resultados.

Animal models for clinical and gestational diabetes: maternal and fetal outcomes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)