Cognitive remediation in residential substance use treatment: A randomized stepped-wedge trial.

ABSTRACTExecutive dysfunction is common in individuals with substance use disorder (SUD) and presents a barrier to treatment engagement. The study aimed to investigate the effectiveness of cognitive remediation (CR) for improving executive functioning and treatment retention in patients with SUD, using a stepped-wedge cluster randomized controlled trial. The sample included 527 adults enrolled across ten residential SUD treatment providers in NSW, Australia. The intervention consisted of 12 hours of CR delivered over six weeks in a group format. The comparator was treatment-as-usual (TAU). Primary outcomes included self-reported executive functioning and proportion of treatment completed (PoTC), measured as the number of days in treatment divided by the planned treatment duration. Intention-to-treat analysis did not find significant differences for self-reported executive functioning (mean difference = -2.49, 95%CI [-5.07, 0.09], p = .059) or PoTC (adjusted mean ratio = 1.09, 95%CI [0.88, 1.36], p = .442). Due to high dropout from the intention-to-treat sample (56%) a post-hoc analysis was conducted using a per-protocol approach, in which CR was associated with improved self-reported executive functioning (mean difference = -3.33, 95%CI [-6.10, -0.57], p = .019) and improved likelihood of treatment graduation (adjusted odds ratio = 2.43, 95%CI [1.43, 4.11], p < .001). More research is required to develop a CR approach that results in service-wide treatment effectiveness.

Inpatient palliative care of people dying in New South Wales hospitals or soon after discharge.

BACKGROUND: Palliative care can benefit all patients with life-limiting diseases. AIM: To describe hospital use in the final year of life, timing of palliative care and variations by age and disease for patients receiving inpatient palliative care. METHODS: Retrospective cohort study of all New South Wales residents aged 50 years and older who died (decedents) between July 2010 and June 2015 in hospital or within 30 days of discharge. Care type and diagnosis codes identified decedents who received inpatient palliative care. RESULTS: Of 150 770 decedents, 34.4% received palliative care a median of 10 days before death. Decedents were more likely to receive palliative care if they had cancer (64.7% vs 13.3% for those without chronic conditions) or were younger (46.3% vs 25.0% of the oldest decedents). In their last year of life, palliated decedents, on average, had three emergency department presentations and four hospital admissions - one involving surgery and one where palliation was the intent of care. Of the 30.1 days spent in hospital, 8.7 days involved palliative care. Older age and non-cancer diagnoses were associated with fewer days of inpatient palliation and shorter time between first palliative admission and death. Decedents dying out of hospital started palliative care 18 days earlier than those dying in hospital. CONCLUSION: Most decedents did not receive palliative care during hospital admission, and even then only very late in life, limiting its benefits. Improved recognition of palliative need, including earlier identification regardless of age and disease, will enhance the quality of care for the dying.

Variation in out-of-hospital death among palliative care inpatients across public hospitals in New South Wales, Australia.

BACKGROUND: Place of death is an important indicator in palliative care, as out-of-hospital death is often preferred by patients and is less costly for the healthcare system. AIM: To examine variation and contributing factors in out-of-hospital death after receiving palliative care in hospital to inform improvement in transition of care between hospitals and communities. METHODS: Using hospital linked data (July 2010, June 2015) we followed individuals aged 50 or older who received palliative care in hospital and within 3 months to death who were last admitted to a public acute-care hospital in New South Wales, Australia (73 hospitals). RESULTS: Among 25 359 palliative care inpatients, 3677 (14%) died out of hospital. The out-of-hospital death rate was lower for younger patients, males and those living in the most deprived areas; it was higher for cancer patients and those who received palliative care before their last admission. Hospital size, location and availability of hospice care unit were not influential. Across hospitals, the median crude rate of out-of-hospital death was 14% (interquartile range 10-19%). The contributing factors explained 19% of the variation, resulting in a rate difference of 44% between hospitals with high versus low rates; 25% of hospitals had a higher and 14% had a lower than average adjusted out-of-hospital death rate. CONCLUSION: The majority of patients who received palliative care in hospital stayed in hospital until death. The variation in out-of-hospital death across hospitals was considerable and mostly remained unexplained. This variability warrants investigation into transition of palliative care between hospitals and communities to inform interventions.

Incidence of in-hospital and post-discharge diagnosed hospital-associated venous thromboembolism using linked administrative data.

BACKGROUND: Hospital-associated venous thromboembolism (HA-VTE) is a serious adverse event, preventable with appropriate care during and post-admission. Accurate measurement of in-hospital and post-discharge incidences is essential for implementation and evaluation of prevention strategies and monitoring. AIMS: To estimate in-hospital and post-discharge diagnosed VTE, trends and risk factors. METHODS: This was a population-based study in New South Wales, Australia, using linked hospital admission and emergency department data for 2010-2013 of adult patients with a minimum stay of 48 h. HA-VTE were diagnosed in-hospital or post-discharge (within 90 days). Multi-level modelling schemes produced adjusted rates and ratios for patient, admission and hospital-related characteristics. RESULTS: From 1 865 059 admissions, the HA-VTE incidence rate was 9.7 per 1000 admissions; 71% were diagnosed post-discharge, and 4.3% died with a greater risk for VTE diagnosed in hospital compared to post-discharge (8.4% vs 2.6%, P < 0.001). Compared with surgical patients, medical patients developed fewer HA-VTE (IRR = 0.60, 95% CI: 0.58-0.63) but were more likely to be diagnosed post-discharge (OR = 2.19; 95% CI: 2.00-2.40). HA-VTE increased 6.5% over the period, driven by the 44% increase in in-hospital diagnoses and not by the 9% decrease in post-discharge diagnoses. CONCLUSIONS: HA-VTE is a continuing burden, and diagnosis after recent hospital discharge is notably high. Incidence varies across patients and facilities, highlighting the need for individual VTE risk assessment. Inclusive measures and routine monitoring of HA-VTE incidence and mortality are essential for implementing best practice and assessing effectiveness of prevention strategies.

Variation in the incidence and timing of diagnosis of hospital-associated venous thromboembolism using linked administrative data.

Venous thromboembolism (VTE) is a potentially preventable adverse effect of hospitalisation. Inter-hospital variation in the incidence of hospital-associated VTE (HA-VTE) and timing of diagnosis (in-hospital or post-discharge) in New South Wales public hospitals were examined. Large variations in incidence (22% risk difference) and post-discharge diagnosis (115% odds difference) were evident after adjustment for case mix, which only explained 59% and 32% of inter-hospital variation respectively. The need for improved compliance with best practice guidelines is reinforced.

Caesarean section among immigrants with different obstetrical risks.

AIM: To determine the variation in caesarean section rates among immigrant populations. BACKGROUND: Australia is one of the most multicultural in the world and is also among those with the highest caesarean section rates. DESIGN: Secondary data analysis. METHODS: Routinely collected data from a Local Heath District between 2011 and 2015 were analysed. Women were categorized into regional groups based on country of birth. Obstetrical risk was classified using the Robson classification. RESULTS/FINDINGS: In total 48 711 women gave birth, of whom 64.0% were born overseas; 13 966 had a caesarean section (28.7%). South and Central Asia women had a high number of caesarean sections (n = 4139; 29.6% of all caesarean sections), a high overall adjusted caesarean section rate (31.4%; 95% CI, 30.5%-32.3%), and consistently high caesarean section rates among women with single cephalic term pregnancy without a previous caesarean section. High adjusted caesarean section rates were seen among South East Asia women with nulliparous, single cephalic, term pregnancy, and spontaneous labour. Demographic and clinical characteristics explained 83.5% of the variation in overall caesarean section rates between country of birth and 21.8% to 100% depending on Robson group. CONCLUSIONS: Caesarean section rates varied by country of birth and within some Robson groups. The studied factors had various effects on the variation in caesarean section rates between country of birth and Robson groups.

The impact of post-operative sepsis on mortality after hospital discharge among elective surgical patients: a population-based cohort study.

BACKGROUND: Our aim in the present study was to assess the mortality impact of hospital-acquired post-operative sepsis up to 1 year after hospital discharge among adult non-short-stay elective surgical patients. METHODS: We conducted a population-based, retrospective cohort study of all elective surgical patients admitted to 82 public acute hospitals between 1 January 2007 and 31 December 2012 in New South Wales, Australia. All adult elective surgical admission patients who stayed in hospital for ≥4 days and survived to discharge after post-operative sepsis were identified using the Admitted Patient Data Collection records linked with the Registry of Births, Deaths, and Marriages. We assessed post-discharge mortality rates at 30 days, 60 days, 90 days and 1 year and compared them with those of patients without post-operative sepsis. RESULTS: We studied 144,503 survivors to discharge. Of these, 1857 (1.3%) had experienced post-operative sepsis. Their post-discharge mortality rates at 30 days, 60 days, 90 days and 1 year were 4.6%, 6.7%, 8.1% and 13.5% (vs 0.7%, 1.2%, 1.5% and 3.8% in the non-sepsis cohort), respectively (P < 0.0001 for all). After adjustment for patient and hospital characteristics, post-operative sepsis remained independently associated with a higher mortality risk (30-day mortality HR 2.75, 95% CI 2.14-3.53; 60-day mortality HR 2.45, 95% CI 1.94-3.10; 90-day mortality HR 2.31, 95% CI 1.85-2.87; 1-year mortality HR 1.71, 95% CI 1.46-2.00). Being older than 75 years of age (HR 3.50, 95% CI 1.56-7.87) and presence of severe/very severe co-morbidities as defined by Charlson co-morbidity index (severe vs normal HR 2.05, 95% CI 1.45-2.89; very severe vs normal HR 2.17, 95% CI 1.49-3.17) were the only other significant independent predictors of increased 1-year mortality. CONCLUSIONS: Among elective surgical patients, post-operative sepsis is independently associated with increased post-discharge mortality up to 1 year after hospital discharge. This risk is particularly high in the first month, in older age patients and in the presence of severe/very severe co-morbidities. This high-risk population can be targeted for interventions.

Exploring interhospital transfers and partnerships in the hospital sector in New South Wales, Australia.

Objective The aim of the present study was to explore characteristics of interhospital transfers (IHT) and sharing of care among hospitals in New South Wales (NSW), Australia. Methods Data were extracted from patient-level linked hospital administrative datasets for separations from all NSW acute care hospitals from 1 July 2013 to 30 June 2015. Patient discharge and arrival information was used to identify IHTs. Characteristics of patients and related hospitals were then analysed. Results Transfer-in patients accounted for 3.9% of all NSW admitted patients and, overall, 7.3% of NSW admissions were associated with transfers (IHT rate). Patients with injuries and circulatory system diseases had the highest IHT rate, accounting for one-third of all IHTs. Patients were more often transferred to larger than smaller hospitals (61% vs 29%). Compared with private hospitals, public hospitals had a higher IHT rate (8.4% vs 5.1%) and a greater proportion of transfer-out IHTs (52% vs 28%). Larger public hospitals had lower IHT rates (3-8%) compared with smaller public hospitals (13-26%). Larger public hospitals received and retransferred higher proportions of IHT patients (52-58% and 11% respectively) than their smaller counterparts (26-30% and 2-3% respectively). Less than one-quarter of IHTs were between the public and private sectors or between government health regions. The number of interacting hospitals and their interactions varied across hospital peer groups. Conclusion NSW IHTs were often to hospitals with greater speciality services. The patterns of interhospital interactions could be affected by organisational and regional preferences. What is known about the topic? IHTs aim to provide efficient and effective care. Nonetheless, information on transfers and the sharing of care among hospitals in an Australian setting is lacking. Studies of transfers and hospital partnership patterns will inform efforts to improve patient-centred transfers and hospital accountability in terms of end outcomes for patients. What does this paper add? Transfer-in patients accounted for 3.9% of all NSW admissions; they were often (61%) transferred to hospitals with greater speciality services. The number of IHTs and sharing of care among hospitals varied across hospital peer groups, and could have been affected by organisational and regional preferences. What are the implications for practitioners? The findings of the present study suggest that different patterns of IHTs may not only have resulted from clinical priorities, but that organisational and regional preferences are also likely to be influential factors. Patient-centred IHTs and the development of guidelines need to be pursued to enhance the care and functionality of healthcare. Patient sharing should be acknowledged in hospital and regional performance profiling.

Transcriptome analysis of human brain tissue identifies reduced expression of complement complex C1Q Genes in Rett syndrome.

BACKGROUND: MECP2, the gene mutated in the majority of Rett syndrome cases, is a transcriptional regulator that can activate or repress transcription. Although the transcription regulatory function of MECP2 has been known for over a decade, it remains unclear how transcriptional dysregulation leads to the neurodevelopmental disorder. Notably, little convergence was previously observed between the genes abnormally expressed in the brain of Rett syndrome mouse models and those identified in human studies. METHODS: Here we carried out a comprehensive transcriptome analysis of human brain tissue from Rett syndrome brain using both RNA-seq and microarrays. RESULTS: We identified over two hundred differentially expressed genes, and identified the complement C1Q complex genes (C1QA, C1QB and C1QC) as a point of convergence between gene expression changes in human and mouse Rett syndrome brain. CONCLUSIONS: The results of our study support a role for alterations in the expression level of C1Q complex genes in RTT pathogenesis.

Incidences and variations of hospital acquired venous thromboembolism in Australian hospitals: a population-based study.

BACKGROUND: Data on hospital-acquired venous thromboembolism (HA-VTE) incidence, case fatality rate and variation amongst patient groups and health providers is lacking. We aim to explore HA-VTE incidences, associated mortality, trends and variations across all acute hospitals in New South Wales (NSW)-Australia. METHODS: A population-based study using all admitted patients (aged 18-90 with a length of stay of at least two days and not transferred to another acute care facility) in 104 NSW acute public and private hospitals during 2002-2009. Poisson mixed models were used to derive adjusted rate ratios (IRR) in presence of patient and hospital characteristics. RESULTS: Amongst, 3,331,677 patients, the incidence of HA-VTE was 11.45 per 1000 patients and one in ten who developed HA-VTE died in hospital. HA-VTE incidence, initially rose, but subsequently declined, whereas case fatality rate consistently declined by 22 % over the study period. Surgical patients were 128 % (IRR = 2.28, 95 % CI: 2.19-2.38) more likely to develop HA-VTE, but had similar case fatality rates compared to medical patients. Private hospitals, in comparison to public hospitals had a higher incidence of HA-VTE (IRR = 1.76; 95 % CI: 1.42-2.18) for medical patients. However, they had a similar incidence (IRR = 0.91; 95 % CI: 0.75-1.11), but a lower mortality (IRR = 0.59; 95 % CI: 0.47-0.75) amongst surgical patients. Smaller public hospitals had a lower HA-VTE incidence rate compared to larger hospitals (IRR < 0.68) but a higher case fatality rate (IRR > 1.71). Hospitals with a lower reported HA-VTE incidence tended to have a higher HA-VTE case fatality rate. CONCLUSION: Despite the decline in HA-VTE incidence and case fatality, there were large variations in incidents between medical and surgical patients, public and private hospitals, and different hospital groups. The causes of such differences warrant further investigation and may provide potential for targeted interventions and quality improvement initiatives.

Delayed Emergency Team Calls and Associated Hospital Mortality: A Multicenter Study.

OBJECTIVE: We tested the hypothesis that responses to physiologic deterioration in hospital ward patients delayed by more than 15 minutes are associated with increased mortality. DESIGN, SETTING, AND PARTICIPANTS: We used data from a 23-hospital cluster randomized trial (January 2004 to December 2004) of implementation of rapid response teams (intervention) versus standard practice with conventional cardiac arrest team-based responses to emergencies (control). We examined emergency calls in all hospitals. In intervention hospitals, we also examined such calls in the period before, during the introduction, and after the full implementation of a rapid response system. We studied the statistical association between such delayed calls and mortality. MAIN OUTCOMES AND MEASURES: Hospital outcomes (mortality, unplanned ICU admissions, and cardiac arrests). RESULTS: There were 3,135 emergency team calls in all hospitals. Overall, almost one third of such calls were delayed. In intervention hospitals, the proportion of delayed calls was similar before and after implementation of rapid response teams. Compared with control hospitals, in intervention hospitals, there was a significant decrease in the proportion of delayed calls during both the introduction (27.3% vs 34.3% weekly rate; incidence rate ratio, 0.84; p = 0.001) and the full implementation period (29.0% vs 34.5% weekly rate; incidence rate ratio, 0.84; p = 0.023). Delayed calls more likely occurred at night, in high dependence or coronary care units, in patients older than 75 years, in those with a decrease in Glasgow Coma Scale, or in those with hypotension as the reason for the call. Finally, in all hospitals, delayed calls were associated with an increased risk of unplanned ICU admissions (adjusted odds ratio = 1.56; 95% CI, 1.23-2.04; p ≤ 0.001) and death (adjusted odds ratio = 1.79; 95% CI, 1.43-2.27; p < 0.001). CONCLUSIONS: Among ward patients, emergency team activation in response to acute deterioration triggered more than 15 minutes after detection and documentation of instability is independently associated with an increased risk of ICU admission and death.

Cardiopulmonary arrest and mortality trends, and their association with rapid response system expansion.

OBJECTIVES: To understand the changes in the population incidence of inhospital cardiopulmonary arrest (IHCA) and mortality associated with the introduction of rapid response systems (RRSs). DESIGN, SETTING AND PARTICIPANTS: Population-based study of 9 221 138 hospital admissions in 82 public acute hospitals in New South Wales, using data linked to a death registry, from 1 Jan 2002 to 31 Dec 2009. MAIN OUTCOME MEASURES: Changes in IHCA, IHCA-related mortality, hospital mortality and proportion of IHCA patients surviving to hospital discharge. RESULTS: RRS uptake increased from 32% in 2002 to 74% in 2009. This increase was associated with a 52% decrease in IHCA rate, a 55% decrease in IHCA-related mortality rate, a 23% decrease in hospital mortality rate and a 15% increase in survival to discharge after an IHCA (all P < 0.01). The adjusted absolute reductions in IHCA-related mortality and hospital mortality were 1.49 (95% CI, 1.30-1.68) and 4.05 (95% CI, 3.17-4.76) patients per 1000 admissions, respectively. The decrease in IHCA incidence rate accounted for 95% of the reduction in IHCA-related mortality. In contrast, the increase in IHCA survival accounted for only 5% of the reduction in IHCA-related mortality. CONCLUSIONS: During nearly a decade, as RRSs were progressively introduced, there was a coincidental reduction in IHCA, IHCA-related deaths and hospital mortality and an increased survival to hospital discharge after an IHCA. Reduced IHCA incidence, rather than improved postcardiac arrest survival, was the main contributor to the reduction in IHCA mortality.

Additional years of Australian Rural Clinical School undergraduate training is associated with rural practice.

BACKGROUND: To understand the influence of the number of years spent at an Australian rural clinical school (RCS) on graduate current, preferred current and intended location for rural workforce practice. METHODS: Retrospective online survey of medical graduates who spent 1-3 years of their undergraduate training in the University of New South Wales (UNSW) Rural Clinical School. Associations with factors (gender, rural versus non-rural entry, conscription versus non-conscript and number of years of RCS attendance) influencing current, preferred current and intended locations were assessed using X2 test. Factors that were considered significant at P 0.1 were entered into a logistic regression model for further analysis. RESULTS: 214 graduates responded to the online survey. Graduates with three years of previous RCS training were more likely to indicate rural areas as their preferred current work location, than their colleagues who spent one year at an RCS campus (OR = 3.0, 95% CI = 1.2-7.4, P = 0.015). Also RCS graduates that spent three years at an RCS were more likely to intend to take up rural medical practice after completion of training compared to the graduates with one year of rural placement (OR = 5.1, 95% CI = 1.8-14.2, P = 0.002). Non-rural medicine entry graduates who spent three years at rural campuses were more likely to take up rural practice compared to those who spent just one year at a rural campus (OR = 8.4, 95% CI = 2.1-33.5, P = 0.002). CONCLUSIONS: Increasing the length of time beyond a year at an Australian RCS campus for undergraduate medical students is associated with current work location, preferred current work location and intended work location in a rural area. Spending three years in a RCS significantly increases the likelihood of rural career intentions of non-rural students.

Verification of administrative data to measure palliative care at terminal hospital stays.

BACKGROUND: Administrative data and clinician documentation have not been directly compared for reporting palliative care, despite concerns about under-reporting. OBJECTIVE: The aim of this study was to verify the use of routinely collected administrative data for reporting in-hospital palliation and to examine factors associated with coded palliative care in hospital administrative data. METHOD: Hospital administrative data and inpatient palliative care activity documented in medical records were compared for patients dying in hospital between 1 July 2017 and 31 December 2017. Coding of palliative care in administrative data is based on hospital care type coded as "palliative care" and/or assignment of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) palliative care diagnosis code Z51.5. Medical records were searched for specified keywords, which, read in context, indicated a palliative approach to care. The list of keywords (palliative, end of life, comfort care, cease observations, crisis medications, comfort medications, syringe driver, pain or symptom management, no cardiopulmonary resuscitation, advance medical plan/resuscitation plan, deteriorating, agitation, restless and delirium) was developed in consultation with seven local clinicians specialising in palliative care or geriatric medicine. RESULTS: Of the 576 patients who died in hospital, 246 were coded as having received palliative care, either solely by the ICD-10-AM diagnosis code Z51.5 (42%) or in combination with a "palliative care" care type (58%). Just over one-third of dying patients had a palliative care specialist involved in their hospital care. Involvement of a palliative care specialist and a cancer diagnosis substantially increased the odds of a Z51.5 code (odds ratio = 11 and 4, respectively). The majority of patients with a "syringe driver" or identified as being at the "end of life" were assigned a Z51.5 code (73.5% and 70.5%, respectively), compared to 53.8% and 54.7%, respectively, for "palliative" or "comfort care." For each keyword indicating a palliative approach to care, the Z51.5 code was more likely to be assigned if the patient had specialist palliative care input or if they had cancer. CONCLUSION: Our results suggest administrative data under-represented in-hospital palliative care, at least partly due to medical record documentation that failed to meet ICD-10-AM coding criteria. Collaboration between clinicians and coders can enhance the quality of records and, consequently, administrative data.

Associations of the Initial COVID-19 Lockdown on Self-Reported Happiness and Worry about Developing Loneliness: A Cross-Sectional Analysis of Rural, Regional, and Urban Australian Communities.

Australia adopted hard lockdown measures to eliminate community transmission of COVID-19. Lockdown imposes periods of social isolation that contributes to increased levels of stress, anxiety, depression, loneliness, and worry. We examined whether lockdowns have similar psychosocial associations across rural and urban areas and whether associations existed between happiness and worry of loneliness in the initial wave of the COVID-19 pandemic in Australia. Data were collected using the "COVID-19 Living Survey" between 13 and 20 May 2020 by BehaviourWorks Australia at the Monash Sustainable Development Institute. The mean self-reported feeling of happiness and anxiousness (N = 1593), on a 10-point Likert scale with 0 being least happy or highly anxious, was 6.5 (SD = 2.4) and 3.9 (2.9), respectively. Factors associated with happiness were older age and having a postgraduate education. Participants worried about becoming lonely also exhibited reduced happiness (estimate = -1.58, 95%CI = -1.84--1.32) and higher anxiousness (2.22, 1.93-2.51) scores, and these conditions remained associated after adjusting for demographics. Interestingly, worry about loneliness was greater in rural areas than in urban communities. The negative impact of the COVID-19 lockdown on rural youth and those less-educated was evident. Participants in rural Australia who were worried about becoming lonely were reportedly less happy than participants in major cities. This dataset provides a better understanding of factors that influence psychological well-being and quality of life in the Australian population and helps to determine whether happiness may be an associative factor that could mitigate self-feelings of anxiety and worry about loneliness.

Specialist Palliative Care Activity at an Acute Care Tertiary Hospital and Its Representation in Administrative Data.

OBJECTIVE: To quantify and examine specialist palliative care (SPC) in-hospital activity and compare it to routinely collected administrative data on palliative care (PC). METHODS: All patients discharged from a large acute care tertiary hospital in New South Wales, Australia, between July 1 and December 31, 2017, were identified from the hospital's data warehouse. Administrative data were supplemented with information from the electronic medical record for hospital stays which were assigned the PC additional diagnosis code (Z51.5); had a "palliative care" care type; or included SPC consultation. RESULTS: Of 34 653 hospital stays, 524 were coded as receiving PC-based on care type (43%) and/or diagnosis code Z51.5 (100%). Specialist palliative care provided 1717 consultations over 507 hospital stays. Patients had 2 (median; interquartile range: 1-4) consultations during an average stay of 15.3 days (SD 15.78; median 10); the first occurred 7.0 days (SD 12.13; median 3) after admission. Of patient stays with an SPC consultation, 70% were assigned the PC Z51.5 code; 60% were referred for symptom management; 68% had cancer. One hundred forty-one patients were under a palliative specialist-either from initial hospital admission (49.6%) or later in their stay. CONCLUSIONS: Palliative care specialists provide expert input into patient management, benefitting patients and other clinicians. Administrative data inadequately capture their involvement in patient care, especially consultations, and are therefore inappropriate for reporting SPC activity. Exclusion of information related to SPC activity results in an incomplete and distorted representation of PC services and fails to acknowledge the valuable contribution made by SPC.

Inequalities in end-of-life palliative care by country of birth in New South Wales, Australia: a cohort study.

Objective This study investigated variation in in-hospital palliative care according to the decedent's country of birth. Methods A retrospective cohort study was performed of 73469 patients who died in a New South Wales public hospital between July 2010 and June 2015 and were diagnosed with a palliative care-amenable condition. Differences in receipt of palliative care by country of birth were examined using multilevel logistic regression models adjusted for confounding. Results In this cohort, 26444 decedents received palliative care during their last hospital stay. In the adjusted analysis, 40% rate differences (median odds ratio 1.39; 95% confidence interval 1.31-1.51) were observed in receipt of palliative care between country of birth groups. Conclusions There are differences in in-hospital palliative care at the end of life between population groups born in different countries living in Australia. The implementation of culturally sensitive palliative care programs may help reduce these inequalities. Further studies are needed to identify the determinants of the differences observed in this study and to investigate whether these differences persist in the community setting. What is known about the topic? International studies have reported inequities in access to palliative care between ethnic groups. What does this paper add? We observed differences in in-hospital palliative care between decedents from different countries of birth in New South Wales, Australia. These differences remained after adjusting for individual, area and hospital characteristics. What are the implications for practitioners? Implementation of culturally sensitive palliative care services and targeting groups with low rates of palliative care can reduce these inequalities and improve a patient's quality of life.

Implementation of multivariate control charts in a clinical setting.

BACKGROUND: In most clinical monitoring cases there is a need to track more than one quality characteristic. If separate univariate charts are used, the overall probability of a false alarm may be inflated since correlation between variables is ignored. In such cases, multivariate control charts should be considered. PURPOSE: This paper considers the implementation and performance of the T(2), multivariate exponentially weighted moving average (MEWMA) and multivariate cumulative sum (MCUSUM) charts in light of the challenges faced in clinical settings. We discuss how to handle incomplete records and non-normality of data, and we provide recommendations on chart selection. DATA SOURCES: Our discussion is supported by a case study involving the monitoring of radiation delivered to patients undergoing diagnostic coronary angiogram procedures at St Andrew's War Memorial Hospital, Australia. We also perform a simulation study to investigate chart performance for various correlation structures, patterns of mean shifts, amounts of missing data and methods of imputation. CONCLUSIONS: The MEWMA and MCUSUM charts detect small to moderate shifts quickly, even when the quality characteristics are uncorrelated. The T(2) chart performs less well overall, although it is useful for rapid detection of large shifts. When records are incomplete, we recommend using multiple imputation.

Temporal trend of diabetes in pregnant women and its association with birth outcomes, 2011 to 2017.

AIM: To assess changes in the prevalence of diabetes in pregnant women, and its association with selected birth outcomes (including caesarean section, episiotomy, admission to the special care nursery/neonatal intensive care unit, postpartum haemorrhage and neonatal birth weight) from 2011 to 2017. METHODS: In a single-centre, retrospective cohort study, we examined records of pregnant women who attended an Australian tertiary hospital between 2011 and 2017, identifying women with gestational diabetes mellitus and pre-existing diabetes mellitus, and examined trends associated with diabetes and their effects on birth outcomes. RESULTS: The average incidence of women with diabetes increased by 9% annually (RR = 0.09, 95% CI = 1.08-1.11), which was 6% greater in women who received antenatal doctor-led care (RR = 1.06, 95% CI = 1.01-1.13), 42% greater in women who had other endocrine diseases (including thyroid, adrenal or pituitary diseases) (RR = 1.42, 95% CI = 1.31-1.53), and 61% greater in women with hypertension during pregnancy (RR = 1.61, 95% CI = 1.47-1.78). The presence of diabetes did not affect the relative risks of caesarean section, episiotomy, postpartum haemorrhage, decreased neonatal birth weight or special care nursery/neonatal intensive care unit admission, after adjustment for demographics and health and care status and behaviours. CONCLUSIONS: The rate of diabetes during pregnancy increased from 2011 to 2017. Diabetes did not affect the relative risk of untoward birth outcomes.

Falls in Hospital Causing Injury.

AIMS: To describe falls causing injury, types of injuries, and the reporting of these falls. METHODS: Administrative and incident reporting datasets between July 2012 and June 2017 were analyzed. RESULTS: Using both datasets, 5,653 falls were identified (3.7 per 1,000 bed-days). Administrative and incident datasets accounted for 40.8% (2,299) and 84.4% (4,752) of falls, respectively. More than half the falls in the administrative data required only observation/examination (1,221 falls; 53.1%, 0.8 per 1,000 bed-days). The remaining 1,078 falls (46.9%; 0.7 per 1,000 bed-days) caused 1,533 injuries (1.0 per 1,000 bed-days). Most injuries happened in patients who were 65 years or older (73.9%), during the first episode of care (79.0%), in the acute care setting (70.4%), or on the same level (60.1%). The most common injuries were to the head (33.3%). Some injuries were serious (169; 11.0%; 0.11 per 1,000 bed-days). Falls resulting in injury in older patients, with a more severe medical condition and at smaller hospitals, were more likely to be recorded in the incident reporting system whereas subsequent falls were less likely to be recorded. CONCLUSIONS: Fewer than half of the falls recorded in administrative data resulted in injuries. A tenth of all falls caused serious injuries.