Phillip Della

Anthropometric measurements of general and central obesity and the prediction of cardiovascular disease risk in women: a cross-sectional study.

Objectives It is important to ascertain which anthropometric measurements of obesity, general or central, are better predictors of cardiovascular disease (CVD) risk in women. 10-year CVD risk was calculated from the Framingham risk score model, SCORE risk chart for high-risk regions, general CVD and simplified general CVD risk score models. Increase in CVD risk associated with 1 SD increment in each anthropometric measurement above the mean was calculated, and the diagnostic utility of obesity measures in identifying participants with increased likelihood of being above the treatment threshold was assessed. Design Cross-sectional data from the National Heart Foundation Risk Factor Prevalence Study. Setting Population-based survey in Australia. Participants 4487 women aged 20–69 years without heart disease, diabetes or stroke. Outcome measures Anthropometric obesity measures that demonstrated the greatest increase in CVD risk as a result of incremental change, 1 SD above the mean, and obesity measures that had the greatest diagnostic utility in identifying participants above the respective treatment thresholds of various risk score models. Results Waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-stature ratio had larger effects on increased CVD risk compared with body mass index (BMI). These central obesity measures also had higher sensitivity and specificity in identifying women above and below the 20% treatment threshold than BMI. Central obesity measures also recorded better correlations with CVD risk compared with general obesity measures. WC and WHR were found to be significant and independent predictors of CVD risk, as indicated by the high area under the receiver operating characteristic curves (>0.76), after controlling for BMI in the simplified general CVD risk score model. Conclusions Central obesity measures are better predictors of CVD risk compared with general obesity measures in women. It is equally important to maintain a healthy weight and to prevent central obesity concurrently.

Utility of models to predict 28-day or 30-day unplanned hospital readmissions: an updated systematic review

Objective To update previous systematic review of predictive models for 28-day or 30-day unplanned hospital readmissions. Design Systematic review. Setting/data source CINAHL, Embase, MEDLINE from 2011 to 2015. Participants All studies of 28-day and 30-day readmission predictive model. Outcome measures Characteristics of the included studies, performance of the identified predictive models and key predictive variables included in the models. Results Of 7310 records, a total of 60 studies with 73 unique predictive models met the inclusion criteria. The utilisation outcome of the models included all-cause readmissions, cardiovascular disease including pneumonia, medical conditions, surgical conditions and mental health condition-related readmissions. Overall, a wide-range C-statistic was reported in 56/60 studies (0.21–0.88). 11 of 13 predictive models for medical condition-related readmissions were found to have consistent moderate discrimination ability (C-statistic ≥0.7). Only two models were designed for the potentially preventable/avoidable readmissions and had C-statistic >0.8. The variables ‘comorbidities’, ‘length of stay’ and ‘previous admissions’ were frequently cited across 73 models. The variables ‘laboratory tests’ and ‘medication’ had more weight in the models for cardiovascular disease and medical condition-related readmissions. Conclusions The predictive models which focused on general medical condition-related unplanned hospital readmissions reported moderate discriminative ability. Two models for potentially preventable/avoidable readmissions showed high discriminative ability. This updated systematic review, however, found inconsistent performance across the included unique 73 risk predictive models. It is critical to define clearly the utilisation outcomes and the type of accessible data source before the selection of the predictive model. Rigorous validation of the predictive models with moderate-to-high discriminative ability is essential, especially for the two models for the potentially preventable/avoidable readmissions. Given the limited available evidence, the development of a predictive model specifically for paediatric 28-day all-cause, unplanned hospital readmissions is a high priority.

Transitioning adolescent and young adults with chronic disease and/or disabilities from paediatric to adult care services – an integrative review

Aims and objectives This paper aims to provide an updated comprehensive review of the research‐based evidence related to the transitions of care process for adolescents and young adults with chronic illness/disabilities since 2010. Background Transitioning adolescent and young adults with chronic disease and/or disabilities to adult care services is a complex process, which requires coordination and continuity of health care. The quality of the transition process not only impacts on special health care needs of the patients, but also their psychosocial development. Inconsistent evidence was found regarding the process of transitioning adolescent and young adults. Design An integrative review was conducted using a five‐stage process: problem identification, literature search, data evaluation, data analysis and presentation. Methods A search was carried out using the EBSCOhost, Embase, MEDLINE, PsycINFO, and AustHealth, from 2010 to 31 October 2014. The key search terms were (adolescent or young adult) AND (chronic disease or long‐term illness/conditions or disability) AND (transition to adult care or continuity of patient care or transfer or transition). Results A total of 5719 records were initially identified. After applying the inclusion criteria a final 61 studies were included. Six main categories derived from the data synthesis process are Timing of transition; Perceptions of the transition; Preparation for the transition; Patients’ outcomes post‐transition; Barriers to the transition; and Facilitating factors to the transition. A further 15 subcategories also surfaced. Conclusions In the last five years, there has been improvement in health outcomes of adolescent and young adults post‐transition by applying a structured multidisciplinary transition programme, especially for patients with cystic fibrosis and diabetes. However, overall patients’ outcomes after being transited to adult health care services, if recorded, have remained poor both physically and psychosocially. An accurate tracking mechanism needs to be established by stakeholders as a formal channel to monitor patients’ outcomes post‐ transition.

Ethnicity and the association between anthropometric indices of obesity and cardiovascular risk in women: a cross-sectional study

Objectives The objectives of this study were to determine whether the cross-sectional associations between anthropometric obesity measures, body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR), and calculated 10-year cardiovascular disease (CVD) risk using the Framingham and general CVD risk score models, are the same for women of Australian, UK and Ireland, North European, South European and Asian descent. This study would investigate which anthropometric obesity measure is most predictive at identifying women at increased CVD risk in each ethnic group. Design Cross-sectional data from the National Heart Foundation Risk Factor Prevalence Study. Setting Population-based survey in Australia. Participants 4354 women aged 20–69 years with no history of heart disease, diabetes or stroke. Most participants were of Australian, UK and Ireland, North European, South European or Asian descent (97%). Outcome measures Anthropometric obesity measures that demonstrated stronger predictive ability of identifying women at increased CVD risk and likelihood of being above the promulgated treatment thresholds of various risk score models. Results Central obesity measures, WC and WHR, were better predictors of cardiovascular risk. WHR reported a stronger predictive ability than WC and BMI in Caucasian women. In Northern European women, BMI was a better indicator of risk using the general CVD (10% threshold) and Framingham (20% threshold) risk score models. WC was the most predictive of cardiovascular risk among Asian women. Conclusions Ethnicity should be incorporated into CVD assessment. The same anthropometric obesity measure cannot be used across all ethnic groups. Ethnic-specific CVD prevention and treatment strategies need to be further developed.

The first Australian nurse practitioner census: A protocol to guide standardized collection of information about an emergent professional group.

Internationally, collection of reliable data on new and evolving health-care roles is crucial. We describe a protocol for design and administration of a national census of an emergent health-care role, namely nurse practitioners in Australia using databases held by regulatory authorities. A questionnaire was developed to obtain data on the role and scope of practice of Australian nurse practitioners. Our tool comprised five sections and included a total of 56 questions, using 28 existing items from the National Nursing and Midwifery Labour Force Census and nine items recommended in the Nurse Practitioner Workforce Planning Minimum Data Set. Australian Nurse Registering Authorities (n = 6) distributed the survey on our behalf. This paper outlines our instrument and methods. The survey was administered to 238 authorized Australian nurse practitioners (85% response rate). Rigorous collection of standardized items will ensure health policy is informed by reliable and valid data. We will re-administer the survey 2 years following the first survey to measure change over time.

Utility of established cardiovascular disease risk score models for the 10-year prediction of disease outcomes in women

Cardiovascular disease (CVD) is a major cause of mortality globally. In absolute numbers, more women die from CVD than men do. CVD mortality risk differs between genders, reflecting the different distribution of modifiable risk factors and severity of CVD outcomes. This study reviews six established risk score models and their applicability to the female population. These models are assessed against two criteria: discrimination and calibration. Sensitivity, specificity and positive- and negative-predictive values are also examined. The risk score models are found to be limited in applicability, requiring recalibration beyond their study population. Relevant risk factors to predict CVD mortality for women, such as measures of obesity, physical activity, alcohol consumption, use of antihypertensive medication, chronic kidney disease and coronary artery calcium are generally not incorporated in these models.

The first Australian nurse practitioner census : a protocol to guide standardized collection of information about an emergent professional group

Internationally, collection of reliable data on new and evolving health-care roles is crucial. We describe a protocol for design and administration of a national census of an emergent health-care role, namely nurse practitioners in Australia using databases held by regulatory authorities. A questionnaire was developed to obtain data on the role and scope of practice of Australian nurse practitioners. Our tool comprised five sections and included a total of 56 questions, using 28 existing items from the National Nursing and Midwifery Labour Force Census and nine items recommended in the Nurse Practitioner Workforce Planning Minimum Data Set. Australian Nurse Registering Authorities (n = 6) distributed the survey on our behalf. This paper outlines our instrument and methods. The survey was administered to 238 authorized Australian nurse practitioners (85% response rate). Rigorous collection of standardized items will ensure health policy is informed by reliable and valid data. We will re-administer the survey 2 years following the first survey to measure change over time.

Demographics and Personality Factors Associated with Burnout among Nurses in a Singapore Tertiary Hospital

Background. The aim of the study was to evaluate the prevalence and extent of burnout among nurses in Singapore and investigate the influence of demographic factors and personal characteristics on the burnout syndrome. Methods. A cross-sectional survey design was adopted. All registered nurses working in Singapore General Hospital were approached to participate. A questionnaire eliciting data on demographics, burnout (measured using the Maslach Burnout Inventory, MBI), and personality profile (measured using the NEO Five-Factor Inventory, NEO-FFI) was used. Results. 1830 nurses out of 3588 responded (response rate: 51%). Results from 1826 respondents were available for analysis. The MBI identified 39% to have high emotional exhaustion (EE, cut-off score of >27), 40% having high depersonalization (DP, cut-off score of >10), and 59% having low personal accomplishment (PA, cut-off score of <33). In multivariable analysis, age, job grade, and neuroticism were significantly associated with each of the 3 components of the MBI. Staff nurses less than 30 years with high to very high neuroticism were more likely to experience high EE, high DP, and low PA. Conclusion. Younger nurses in Singapore are at increased risk of burnout. Personality traits also played a significant role in the experience of burnout.

An Analysis of Clinical Handover Miscommunication Using a Language and Social Psychology Approach

Clinical handover is a key communication event in patient care and a major contributing factor in adverse events in hospitals. Current research on handover emphasizes communication skills training. We investigate the intergroup context and systemic factors of the hospital environment that also affect handover. We explore the responses of 707 health professionals about handover practice. We invoke Coupland and colleagues’ integrative model of “miscommunication” to interpret these. Results support the model. Responses reflect a lack of communication competency, intergroup group relations, and the hidden ideology of the health care system. Health professionals in hospitals are often unaware of the socio-structural element in health care and so cannot bring about cultural change. We suggest that clinicians work with communication and interdisciplinary scholars to bring about system improvement.

Communication failures during clinical handovers lead to a poor patient outcome: Lessons from a case report.

In the emergency department, communication failures occur in clinical handover due to the urgent, changing and unpredictable nature of care provision. We present a case report of a female patient who was assaulted, and identify how various factors interacted to produce communication failures at multiple clinical handovers, leading to a poor patient outcome. Several handovers created many communication failures at diverse time points. The bedside medical handover produced misunderstandings during verbal exchange of information between emergency department consultants and junior doctors, and there was miscommunication involving plastic registrars. There was a failure in adequately informing the general practitioner and the patient relating to follow-up care after discharge. Deficiencies of communication occurred with conveying changes in an investigative report. Communication could be improved by dividing the conduct of handover in a quiet room and at the bedside, ensuring multiple sources of information are used and encouraging role-modelling behaviours for junior clinicians.