Performance of 21 Early Warning System scores in predicting in-hospital deterioration among undifferentiated admitted patients managed by ambulance services.

BACKGROUND: The optimal Early Warning System (EWS) scores for identifying patients at risk of clinical deterioration among those transported by ambulance services remain uncertain. This retrospective study compared the performance of 21 EWS scores to predict clinical deterioration using vital signs (VS) measured in the prehospital or emergency department (ED) setting. METHODS: Adult patients transported to a single ED by ambulances and subsequently admitted to the hospital between 1 January 2019 and 18 April 2019 were eligible for inclusion. The primary outcome was 30-day mortality; secondary outcomes included 3-day mortality, admission to intensive care or coronary care units, length of hospital stay and emergency call activations. The discriminative ability of the EWS scores was assessed using the area under the receiver operating characteristic curve (AUROC). Subanalyses compared the performance of EWS scores between surgical and medical patient types. RESULTS: Of 1414 patients, 995 (70.4%) (53.1% male, mean age 68.7±17.5 years) were included. In the ED setting, 30-day mortality was best predicted by VitalPAC EWS (AUROC 0.71, 95% CI (0.65 to 0.77)) and National Early Warning Score (0.709 (0.65 to 0.77)). All EWS scores calculated in the prehospital setting had AUROC <0.70. Rapid Emergency Medicine Score (0.83 (0.73 to 0.92)) and New Zealand EWS (0.88 (0.81 to 0.95)) best predicted 3-day mortality in the prehospital and ED settings, respectively. EWS scores calculated using either prehospital or ED VS were more effective in predicting 3-day mortality in surgical patients, whereas 30-day mortality was best predicted in medical patients. Among the EWS scores that achieved AUROC ≥0.70, no statistically significant differences were detected in their discriminatory abilities to identify patients at risk of clinical deterioration. CONCLUSIONS: EWS scores better predict 3-day as opposed to 30-day mortality and are more accurate when estimated using VS measured in the ED. The discriminatory performance of EWS scores in identifying patients at higher risk of clinical deterioration may vary by patient type.

Patterns of Mental Health Service Utilisation: A Population-Based Linkage of Over 17 Years of Health Administrative Records.

A cross-sectoral partnership was formed in 2021 in support of the recommendations in an audit on access to state-funded mental health services. In this first paper, we aimed to describe the demographic and service utilisation of adults with a mental health diagnosis in the Western Australian state-funded health system from 2005 to 2021. Inpatient, emergency department, specialised (ambulatory) community mental health service, and death records were linked in individuals aged ≥ 18 years with a mental health diagnosis in Western Australia. Altogether, 392,238 individuals with at least one mental health service contact between 1st January 2005 and 31st December 2021 were included for analysis. Females, Aboriginal and/or Torres Strait Islander people, and those who lived outside major cities or in the most disadvantaged areas were more likely to access state-funded mental health services. While the number of individuals who accessed community mental health services increased over time (from 28,769 in 2005 to 50,690 in 2021), the percentage increase relative to 2005 was notably greater for emergency department attendances (127% for emergency department; 76% for community; and 63% for inpatient). Conditions that contributed to the increase for emergency department were mainly alcohol disorder, reaction to severe stress and adjustment disorders, and anxiety disorders. Sex differences were observed between conditions. The pattern of access increased for emergency department and the community plus emergency department combination. This study confirmed that the patterns of access of state-funded mental health services have changed markedly over time and the potential drivers underlying these changes warrant further investigation.

Patient Use, Experience, and Satisfaction With Telehealth in an Australian Population (Reimagining Health Care): Web-Based Survey Study.

BACKGROUND: The COVID-19 pandemic triggered a rapid scale-up of telehealth services in Australia as a means to provide continued care through periods of physical restrictions. The factors that influence engagement in telehealth remain unclear. OBJECTIVE: The purpose of this study is to understand the experience of Australian people who engaged in a telehealth consultation during the pandemic period (2020-2021) and the demographic factors that influence engagement. METHODS: A web-based survey was distributed to Australians aged over 18 years that included 4 questions on frequency and type of clinical consultation, including with a general practitioner (GP), specialist, allied health, or nurse; 1 question on the experience of telehealth; and 2 questions on the quality of and satisfaction with telehealth. Statistical analysis included proportion of responses (of positive responses where a Likert scale was used) and regression analyses to determine the effect of demographic variables. RESULTS: Of the 1820 participants who completed the survey, 88.3% (1607/1820) had engaged in a health care consultation of some type in the previous 12 months, and 69.3% (1114/1607) of those had used telehealth. The most common type of consultation was with a GP (959/1114, 86.1%). Older people were more likely to have had a health care consultation but less likely to have had a telehealth consultation. There was no difference in use of telehealth between metropolitan and nonmetropolitan regions; however, people with a bachelor's degree or above were more likely to have used telehealth and to report a positive experience. A total of 87% (977/1114) of participants agreed or strongly agreed that they had received the information they required from their consultation, 71% (797/1114) agreed or strongly agreed that the outcome of their consultation was the same as it would have been face-to-face, 84% (931/1114) agreed or strongly agreed that the doctor or health care provider made them feel comfortable, 83% (924/1114) agreed or strongly agreed that the doctor or health care provider was equally as knowledgeable as providers they have seen in person; 57% (629/1114) of respondents reported that they would not have been able to access their health consultation if it were not for telehealth; 69% (765/1114) of respondents reported that they were satisfied with their telehealth consultation, and 60% (671/1114) reported that they would choose to continue to use telehealth in the future. CONCLUSIONS: There was a relatively high level of engagement with telehealth over the 12 months leading up to the study period, and the majority of participants reported a positive experience and satisfaction with their telehealth consultation. While there was no indication that remoteness influenced telehealth usage, there remains work to be done to improve access to older people and those with less than a bachelor's degree.

Biology, Bias, or Both? The Contribution of Sex and Gender to the Disparity in Cardiovascular Outcomes Between Women and Men.

PURPOSE OF REVIEW: Cardiovascular disease (CVD) is the leading cause of mortality and morbidity worldwide for both men and women. However, CVD is understudied, underdiagnosed, and undertreated in women. This bias has resulted in women being disproportionately affected by CVD when compared to men. The aim of this narrative review is to explore the contribution of sex and gender on CVD outcomes in men and women and offer recommendations for researchers and clinicians. RECENT FINDINGS: Evidence demonstrates that there are sex differences (e.g., menopause and pregnancy complications) and gender differences (e.g., socialization of gender) that contribute to the inequality in risk, presentation, and treatment of CVD in women. To start addressing the CVD issues that disproportionately impact women, it is essential that these sex and gender differences are addressed through educating health care professionals on gender bias; offering patient-centered care and programs tailored to women's needs; and conducting inclusive health research.

The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis.

BACKGROUND: It is unclear which Early Warning System (EWS) score best predicts in-hospital deterioration of patients when applied in the Emergency Department (ED) or prehospital setting. METHODS: This systematic review (SR) and meta-analysis assessed the predictive abilities of five commonly used EWS scores (National Early Warning Score (NEWS) and its updated version NEWS2, Modified Early Warning Score (MEWS), Rapid Acute Physiological Score (RAPS), and Cardiac Arrest Risk Triage (CART)). Outcomes of interest included admission to intensive care unit (ICU), and 3-to-30-day mortality following hospital admission. Using DerSimonian and Laird random-effects models, pooled estimates were calculated according to the EWS score cut-off points, outcomes, and study setting. Risk of bias was evaluated using the Newcastle-Ottawa scale. Meta-regressions investigated between-study heterogeneity. Funnel plots tested for publication bias. The SR is registered in PROSPERO (CRD42020191254). RESULTS: Overall, 11,565 articles were identified, of which 20 were included. In the ED setting, MEWS, and NEWS at cut-off points of 3, 4, or 6 had similar pooled diagnostic odds ratios (DOR) to predict 30-day mortality, ranging from 4.05 (95% Confidence Interval (CI) 2.35-6.99) to 6.48 (95% CI 1.83-22.89), p = 0.757. MEWS at a cut-off point ≥3 had a similar DOR when predicting ICU admission (5.54 (95% CI 2.02-15.21)). MEWS ≥5 and NEWS ≥7 had DORs of 3.05 (95% CI 2.00-4.65) and 4.74 (95% CI 4.08-5.50), respectively, when predicting 30-day mortality in patients presenting with sepsis in the ED. In the prehospital setting, the EWS scores significantly predicted 3-day mortality but failed to predict 30-day mortality. CONCLUSION: EWS scores' predictability of clinical deterioration is improved when the score is applied to patients treated in the hospital setting. However, the high thresholds used and the failure of the scores to predict 30-day mortality make them less suited for use in the prehospital setting.

Educational attainment and willingness to use technology for health and to share health information - The reimagining healthcare survey.

BACKGROUND: Australia has seen a rapid uptake of virtual care since the start of the COVID-19 pandemic. We aimed to describe the willingness of consumers to use digital technology for health and to share their health information; and explore differences by educational attainment and area of remoteness. METHODS: We conducted an online survey on consumer preferences for virtual modes of healthcare delivery between June and September 2021. Participants were recruited through the study's partner organisations and an online market research company. Australian residents aged ≥18 years who provided study consent and completed the survey were included in the analysis. We reported the weighted percentages of participants who selected negative response to the questions to understand the size of the population that were unlikely to adopt virtual care. Age-adjusted Poisson regression models were used to estimate the prevalence ratios for selecting negative response associated with education and remoteness. RESULTS: Of the 1778 participants included, 29% were not aware of digital technologies for monitoring/supporting health, 22% did not have access to technologies to support their health, and 19% were not willing to use technologies for health. Over a fifth of participants (range: 21-34%) were not at all willing to use seven of the 15 proposed alternative methods of care. Between 21% and 36% of participants were not at all willing to share de-identified health information tracked in apps/devices with various not-for-profit organisations compared to 47% with private/for-profit health businesses. Higher proportions of participants selected negative response to the questions in the lower educational attainment groups than those with bachelor's degree or above. No difference was observed between area of remoteness. CONCLUSIONS: Improving the digital health literacy of people, especially those with lower educational attainment, will be required for virtual care to become an equitable part of normal healthcare delivery in Australia.

Socioeconomic disparities in the management of coronary heart disease in 438 general practices in Australia.

BACKGROUND: This population-based cross-stional and panel study investigated disparities in the management of coronary heart disease (CHD) by level of socioeconomic status. METHODS: CHD patients (aged ≥18 years), treated in 438 general practices in Australia, with ≥3 recent encounters with their general practitioners, with last encounter being during 2016-2018, were included. Secondary prevention prescriptions and number of treatment targets achieved were each modelled using a Poisson regression adjusting for demographics, socioeconomic indicators, remoteness of patient's residence, comorbidities, lifetime follow-up, number of patient-general practitioner encounters and cluster effect within the general practices. The latter model was constructed using the Generalised Estimating Equations approach. Sensitivity analysis was run by comorbidity. RESULTS: Of 137,408 patients (47% women), approximately 48% were prescribed ≥3 secondary prevention medications. However, only 44% were screened for CHD-associated risk factors. Of the latter, 45% achieved ≥5 treatment targets. Compared with patients from the highest socioeconomic status fifth, those from the lowest socioeconomic status fifth were 8% more likely to be prescribed more medications for secondary prevention (incidence rate ratio (95% confidence interval): 1.08 (1.04-1.12)) but 4% less likely to achieve treatment targets (incidence rate ratio: 0.96 (0.95-0.98)). These disparities were also observed when stratified by comorbidities. CONCLUSION: Despite being more likely to be prescribed medications for secondary prevention, those who are most socioeconomically disadvantaged are less likely to achieve treatment targets. It remains to be determined whether barriers such as low adherence to treatment, failure to fill prescriptions, low income, low level of education or other barriers may explain these findings.

Sex disparities in the management of coronary heart disease in general practices in Australia.

OBJECTIVES: To determine whether sex differences exist in the management of patients with a history of coronary heart disease (CHD) in primary care. METHODS: General practice records of patients aged ≥18 years with a history of CHD in a large general practice dataset in Australia, MedicineInsight, were analysed. Sex-specific, age-standardised proportions of patients prescribed with recommended medications; assessed for cardiovascular risk factors; and achieved treatment targets according to the General Practice Management Plan were reported. RESULTS: Records of 130 926 patients (47% women) from 438 sites were available from 2014 to 2018. Women were less likely to be prescribed with recommended medications (prescribed ≥3 medications: women 44%, men 61%; p<0.001). Younger patients, especially women aged <45 years, were substantially underprescribed (aged <45 years prescribed ≥3 medications: women 2%, men 8%; p<0.001). Lower proportions of women were assessed for cardiovascular risk factors (blood test for lipids: women 70%-76%, men 77%-81%; p<0.001). Body size was not commonly assessed (body mass index: women 59%, men 62%; p<0.001; waist: women 23%, men 25%; p<0.001). Higher proportions of women than men achieved targets for most risk factors (achieved ≥4 targets in patients assessed for all risk factors: women 82%, men 76%). CONCLUSION: Gaps in preventative management including prescription of indicated medications and risk factor monitoring have been reported from the late 1990s and this large-scale general practice data analysis indicate they still persist. Moreover, the gap is larger in women compared to men. We need new ways to address these gaps and the sex inequity.

Comparing different definitions of prediabetes with subsequent risk of diabetes: an individual participant data meta-analysis involving 76 513 individuals and 8208 cases of incident diabetes.

Objective: There are currently five widely used definition of prediabetes. We compared the ability of these to predict 5-year conversion to diabetes and investigated whether there were other cut-points identifying risk of progression to diabetes that may be more useful. Research design and methods: We conducted an individual participant meta-analysis using longitudinal data included in the Obesity, Diabetes and Cardiovascular Disease Collaboration. Cox regression models were used to obtain study-specific HRs for incident diabetes associated with each prediabetes definition. Harrell's C-statistics were used to estimate how well each prediabetes definition discriminated 5-year risk of diabetes. Spline and receiver operating characteristic curve (ROC) analyses were used to identify alternative cut-points. Results: Sixteen studies, with 76 513 participants and 8208 incident diabetes cases, were available. Compared with normoglycemia, current prediabetes definitions were associated with four to eight times higher diabetes risk (HRs (95% CIs): 3.78 (3.11 to 4.60) to 8.36 (4.88 to 14.33)) and all definitions discriminated 5-year diabetes risk with good accuracy (C-statistics 0.79-0.81). Cut-points identified through spline analysis were fasting plasma glucose (FPG) 5.1 mmol/L and glycated hemoglobin (HbA1c) 5.0% (31 mmol/mol) and cut-points identified through ROC analysis were FPG 5.6 mmol/L, 2-hour postload glucose 7.0 mmol/L and HbA1c 5.6% (38 mmol/mol). Conclusions: In terms of identifying individuals at greatest risk of developing diabetes within 5 years, using prediabetes definitions that have lower values produced non-significant gain. Therefore, deciding which definition to use will ultimately depend on the goal for identifying individuals at risk of diabetes.

Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis.

OBJECTIVE: To determine which simple index of overweight and obesity is the best discriminator of cardiovascular risk factors. STUDY DESIGN AND SETTING: This is a meta-analysis of published literature. MEDLINE was searched. Studies that used receiver-operating characteristics (ROC) curve analysis and published area under the ROC curves (AUC) for overweight and obesity indices with hypertension, type-2 diabetes, and/or dyslipidemia were included. The AUC for each of the four indices, with each risk factor, was pooled using a random-effects model; male and female data were analyzed separately. RESULTS: Ten studies met the inclusion criteria. Body mass index (BMI) was the poorest discriminator for cardiovascular risk factors. Waist-to-height ratio (WHtR) was the best discriminator for hypertension, diabetes, and dyslipidemia in both sexes; its pooled AUC (95% confidence intervals) ranged from 0.67 (0.64, 0.69) to 0.73 (0.70, 0.75) and from 0.68 (0.63, 0.72) to 0.76 (0.70, 0.81) in males and females, respectively. CONCLUSION: Statistical evidence supports the superiority of measures of centralized obesity, especially WHtR, over BMI, for detecting cardiovascular risk factors in both men and women.

The cost of diabetes and obesity in Australia.

AIMS: To assess and compare the direct healthcare and non-healthcare costs and government subsidies by body weight and diabetes status. METHODS: The Australian Diabetes, Obesity and Lifestyle study collected health service utilization and health-related expenditure data at the 2011-2012 follow-up surveys. Costing data were available for 4,409 participants. Unit costs for 2016-2017 were used where available or were otherwise inflated to 2016-2017 dollars. Age- and sex-adjusted costs per person were estimated using generalized linear models. RESULTS: The annual total direct cost ranged from $1,998 per person with normal weight to $2,501 per person with obesity in participants without diabetes. For those with diabetes, total direct costs were $2,353 per person with normal weight, $3,263 per person with overweight, and $3,131 per person with obesity. Additional expenditure as government subsidies ranged from $5,649 per person with normal weight and no diabetes to $8,085 per person with overweight and diabetes. In general, direct costs and government subsidies were higher for overweight and obesity compared to normal weight, regardless of diabetes status, but were more noticeable in the diabetes sub-group. The annual total excess cost compared with normal weight people without diabetes was 26% for obesity alone and 46% for those with obesity and diabetes. LIMITATIONS: Participants included in this study represented a healthier cohort than the Australian population. The relatively small sample of people with both obesity and diabetes prevented a more detailed analysis by obesity class. CONCLUSION: Overweight and obesity are associated with increased costs, which are further increased in individuals who also have diabetes. Interventions to prevent overweight and obesity or reduce weight in people who are overweight or obese, and prevent diabetes, should reduce the financial burden.

The Population Cost-Effectiveness of Weight Watchers with General Practitioner Referral Compared with Standard Care.

OBJECTIVE: This study aimed to assess population-level cost-effectiveness of the Weight Watchers (WW) program with doctor referral compared with standard care (SC) for Australian adults with overweight and obesity. METHODS: The target population was Australian adults ≥ 20 years old with BMI ≥ 27 kg/m2 , whose obesity status was subsequently modeled for 2015 to 2025. A microsimulation model (noncommunicable disease model [NCDMod]) was used to assess the incremental cost-effectiveness of WW compared with SC. A health system perspective was taken, and outcomes were measured by obesity cases averted in 2025, BMI units averted for 2015 to 2025, and quality-adjusted life years for 2015 to 2025. Univariate sensitivity testing was used to measure variations in the model parameters. RESULTS: The WW intervention resulted in 60,445 averted cases of obesity in 2025 (2,311 more cases than for SC), extra intervention costs of A$219 million, and cost savings within the health system of A$17,248 million (A$82 million more than for SC) for 2015 to 2025 compared with doing nothing. The modeled WW had an incremental cost-effectiveness ratio of A$35,195 in savings per case of obesity averted in 2025. WW remained dominant over SC for the different scenarios in the sensitivity analysis. CONCLUSIONS: The WW intervention represents good value for money. The WW intervention needs serious consideration in a national package of obesity health services.

Screening for diabetes prevention with diabetes risk scores - A balancing act.

AIMS: To compare the diabetes prevention impact and cost of several screening scenarios for diabetes prevention programs with the scenario which included an oral glucose tolerance test (OGTT). METHODS: We included 4864 participants of the Australian Diabetes, Obesity and Lifestyle study who were aged ≥40 years, did not have known diabetes at baseline, and attended the five year follow-up. The proportions of participants eligible or ineligible for diabetes prevention program were estimated for each scenario. The costs of screening and diabetes prevention programs were also estimated. RESULTS: Screening with OGTT alone identified 21% of participants as eligible for diabetes prevention. While 3.1% of the cohort were identified as high risk and developed diabetes after five years, 1.0% of the cohort were identified as low risk and developed diabetes. The population prevention potential (i.e. sensitivity) for OGTT alone was 76.5%. Screening all Australian adults aged ≥40 years in 2015 by OGTT would have cost a total of AU$2025 million (AU$1031 million on screening and AU$994 million on prevention programs). The total costs of screening and prevention were substantially lower when AUSDRISK was used alone or in combination with a blood test. However, the population prevention potentials were also lower (ranged from 20.1% to 50.7%). CONCLUSIONS: A blood test post non-invasive risk assessment is a worthwhile step in the process of enrolling participants in a diabetes prevention program. Nevertheless, there will be ineligible individuals who proceed to diabetes.

Weight loss and carotid intima-media thickness-a meta-analysis.

OBJECTIVE: Obesity is a risk factor for clinical cardiovascular disease, putatively via increased burden of atherosclerosis. It remains contentious as to whether weight loss in people with obesity is accompanied by a reduction in intima-media thickness, a noninvasive marker of subclinical atherosclerosis, consistent with a lowering of risk of cardiovascular events. METHODS: A systematic literature search was performed to identify all surgical and nonsurgical weight loss interventions that reported intima-media thickness. A meta-analysis was undertaken to obtain pooled estimates for change in intima-media thickness. RESULTS: From the 3,197 articles screened, 9 studies were included in the meta-analysis, with a total of 393 participants who lost an average of 16 kg (95% CI 9.4-22.5) of body weight over an average follow-up of 20 months. The pooled mean change in carotid intima-media thickness was -0.03 mm (95% CI -0.05 to -0.01), which was similar between surgical and nonsurgical interventions. CONCLUSIONS: In people with obesity, weight loss was associated with a reduction in carotid intima-media thickness, consistent with a lowering in risk of cardiovascular events.

Comparison of relationships between four common anthropometric measures and incident diabetes.

AIMS: First, to conduct a detailed exploration of the prospective relations between four commonly used anthropometric measures with incident diabetes and to examine their consistency across different population subgroups. Second, to compare the ability of each of the measures to predict five-year risk of diabetes. METHODS: We conducted a meta-analysis of individual participant data on body mass index (BMI), waist circumference (WC), waist-hip and waist-height ratio (WHtR) from the Obesity, Diabetes and Cardiovascular Disease Collaboration. Cox proportional hazard models were used to estimate the association between a one standard deviation increment in each anthropometric measure and incident diabetes. Harrell's concordance statistic was used to test the predictive accuracy of each measure for diabetes risk at five years. RESULTS: Twenty-one studies with 154,998 participants and 9342 cases of incident diabetes were available. Each of the measures had a positive association with incident diabetes. A one standard deviation increment in each of the measures was associated with 64-80% higher diabetes risk. WC and WHtR more strongly associated with risk than BMI (ratio of hazard ratios: 0.95 [0.92,0.99] - 0.97 [0.95,0.98]) but there was no appreciable difference between the four measures in the predictive accuracy for diabetes at five years. CONCLUSIONS: Despite suggestions that abdominal measures of obesity have stronger associations with incident diabetes and better predictive accuracy than BMI, we found no overall advantage in any one measure at discriminating the risk of developing diabetes. Any of these measures would suffice to assist in primary diabetes prevention efforts.

Population Approaches for Detecting Glucose Disorders.

Globally, 382 million adults aged 20-79 years are estimated to have diabetes and 46% are unaware of their condition. Another 316 million adults are at increased risk of developing diabetes. Although there are suggestions that diabetes and related complications can be prevented through early detection, lifestyle intervention and/or treatment, universal screening for diabetes has not been adopted. There are, instead, recommendations for a multi-step screening approach, which include identifying people at risk of diabetes through non-invasive methods such as a risk assessment tool or presence of diabetes risk factors, followed by blood testing for the at risk group and diagnostic blood testing for those screened positive for diabetes. Diabetes screening initiatives have been studied in different medical, health and community settings and some have targeted high risk populations. Most of these screening initiatives, however, have common limitations such as low follow-up rate with primary care providers for those who screen positive, abnormal screening result not communicated to the at risk person's primary care provider, failure to provide appropriate follow-up for patients with abnormal screening results, time and cost as barriers for both screening providers and people invited for screening, and low acceptance of the oral glucose tolerance test. If these common limitations can be addressed, diabetes screening initiatives have the potential to detect undiagnosed diabetes in most populations.

Triple therapy combinations for the treatment of type 2 diabetes - A network meta-analysis.

AIM: To estimate and compare the results from all randomised trials of triple combinations of anti-diabetes therapies that reported the reduction of glycated haemoglobin (HbA1c) and associated effects on body weight and hypoglycaemia. METHODS: PubMed and the Cochrane Library were searched for trials with at least one study arm on triple therapy and which reported the differences in mean change in HbA1c between two study arms. These were included in a network meta-analysis. RESULTS: Altogether, 15,182 participants from 40 trials with treatment duration of 6-12months were included. Compared with none/placebo added to dual therapy, the addition of a drug therapy from six of eight drug classes to existing dual therapy resulted in significant additional mean reductions in HbA1c from -0.56% (-6.2mmol/mol; dipeptidyl peptidase 4 inhibitors) to -0.94% (-10.3mmol/mol; thiazolidinediones). Of the six drug classes, three were associated with less favourable weight change and two were associated with more favourable weight change when compared with none/placebo added to dual therapy. Furthermore, five drug classes were associated with greater odds of hypoglycaemia. Similar results were observed in analyses of studies with a 6month treatment duration and after excluding study arms that contained insulin. CONCLUSIONS: Overall triple therapy combinations were similar in improving diabetes control although there were some differences in adverse effects. By balancing the risks and benefits of each therapy, the estimates of pairwise comparisons of triple therapies for HbA1c, body weight and hypoglycaemia provided in this study may further inform evidence based practice.

Does a mandibular overdenture improve nutrient intake and markers of nutritional status better than conventional complete denture? A systematic review and meta-analysis.

OBJECTIVES: The need for denture treatment in public health will increase as the population ages. However, the impact of dentures on nutrition, particularly overdenture treatment, remains unclear although the physical and psychological effects are known. We investigated whether treatment with a mandibular implant supported overdenture improves nutrient intake and markers of nutritional status better than a conventional complete denture in edentulous patients. DESIGN: Systematic review and meta-analysis. METHODS: Medline, EMBASE and the Cochrane Central Register of Controlled Trials were searched for eligible studies published up to April 2016. We included studies which compared the treatment effect of an overdenture to conventional denture on nutrition, in which primary outcomes included changes in intake of macronutrients and/or micronutrients and/or indicators of nutritional status. Two reviewers independently evaluated eligible studies and assessed the risk of bias. We used a fixed effects model to estimate the weighted mean difference (WMD) and 95% CI for change in body mass index (BMI), albumin and serum vitamin B12 between overdenture and conventional denture 6 months after treatment. RESULTS: Of 108 eligible studies, 8 studies involving 901 participants were included in the narrative appraisal. Four studies reported changes in markers of nutritional status and nutrient intake after treatment with a prosthetic, regardless of type. In a meta-analysis of 322 participants aged 65 years or older from three studies, pooled analysis suggested no significant difference in change in BMI between an overdenture and conventional denture 6 months after treatment (WMD=-0.18 kg/m(2) (95% CI -0.52 to 0.16)), and no significant difference in change in albumin or vitamin B12 between the two treatments. CONCLUSIONS: The modifying effect of overdenture treatment on nutritional status might be limited. Further studies are needed to evaluate the effectiveness and efficacy of denture treatments.

A profile of diabetes in Pacific Island Countries and Territories.

AIM: To examine the available evidence about the epidemiology, health, social, and economic impact of diabetes in Pacific Island Countries and Territories (PICTs). METHODS: We conducted a systematic review of the peer-reviewed literature published in English from January 1990 to January 2014, and relevant technical reports. RESULTS: A total of 1548 articles were identified of which 35 studies of type 2 diabetes met the inclusion criteria. Eighteen technical reports were also included. We found no articles reporting on type 1 diabetes or gestational diabetes that met the inclusion criteria. The prevalence, risk factors and complications of diabetes were substantial. Diabetes prevalence rate of around 40% was common. Physical inactivity, overweight and obesity were leading risk factors. High rates of diabetes complications were reported e.g. up to 69% retinopathy. Poor clinical outcomes were also reported with over 70% not meeting glycaemic control targets and approximately 50% not meeting blood pressure and cholesterol targets. CONCLUSION: This review highlights the burden of diabetes in PICTs and the need for more intensive interventions to improve the quality and outcomes of diabetes care. Overall, further research is needed to monitor secular diabetes trends in PICTs using standardised criteria for diagnosing diabetes and its complications.

The cost of diabetes in adults in Australia.

AIMS: To assess and compare costs associated with diabetes and lesser degrees of glucose intolerance in Australia. METHODS: The Australian Diabetes, Obesity and Lifestyle study collected data on the use of health services and health related expenditure in 2004-2005. Complications data were collected through physical examination and biochemical tests or questionnaire. Data were available on 6101 participants. Age- and sex-adjusted direct healthcare costs, direct non-healthcare costs and government subsidies were estimated according to glucose tolerance status. RESULTS: Annual direct per person costs were A$1898 for those with normal glucose tolerance to A$4390 for those with known diabetes. Costs were substantially higher in people with diabetes and both micro- and macrovascular complications. The total annual cost of diabetes in 2005 for Australians aged ≥30 years was A$10.6 billion (A$4.4 billion in direct costs; A$6.2 billion in government subsidies) which equates to A$14.6 billion in 2010 dollars. Total annual excess cost associated with diabetes in 2005 was A$4.5 billion (A$2.2 billion in direct costs; A$2.3 billion in government subsidies). CONCLUSION: The excess cost of diabetes to individuals and government is substantial and is greater in those with complications. Costs could potentially be reduced by preventing the development of diabetes or its complications.