Systematic review of the cost-effectiveness of preoperative antibiotic prophylaxis in reducing surgical-site infection.

BACKGROUND: Surgical-site infections (SSIs) increase the length of hospital admission and costs. SSI prevention guidelines include preoperative antibiotic prophylaxis. This review assessed the reporting quality and cost-effectiveness of preoperative antibiotics used to prevent SSI. METHODS: PubMed, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Index of Economic Articles (EconLit), Database of Abstracts of Reviews of Effect (including the National Health Service Economic Evaluation Database) and Cochrane Central databases were searched systematically from 1970 to 2017 for articles that included costs, preoperative antibiotic prophylaxis and SSI. Included were RCTs and quasi-experimental studies conducted in Organisation for Economic Co-operation and Development countries with participants aged at least 18 years and published in English. Two reviewers assessed eligibility, with inter-rater reliability determined by Cohen's κ statistic. The Consolidated Health Economic Evaluation and Reporting Standards (CHEERS) and modified Drummond checklists were used to assess reporting and economic quality. Study outcomes and characteristics were extracted, and incremental cost-effectiveness ratios were calculated, with costs adjusted to euros (2016) (€1 = US $1·25; £1 sterling = €1·28). RESULTS: Twelve studies published between 1988 and 2014 were included from 646 records identified; nine were RCTs, two were nested within RCTs and one was a retrospective chart review. Study quality was highest in the nested studies. Cephalosporins (first, second and third generation) were the most frequent prophylactic interventions. Eleven studies demonstrated clinically effective interventions; ten were cost-effective (the intervention was dominant); in one the intervention was dominated by the control; and in one the intervention was more effective and more expensive than the control. CONCLUSION: Preoperative antibiotic prophylaxis does reduce SSI, costs to hospitals and health providers, but the reporting of economic methods in RCTs is not standardized. Routinely nesting economic methods in RCTs would improve economic evaluations and ensure appropriate selection of prophylactic antibiotics.

Processes of care in surgical patients who died with hospital-acquired infections in Australian hospitals.

BACKGROUND: Infection may complicate surgical patients' hospital admission. The effect of hospital-acquired infections (HAIs) on processes of care among surgical patients who died is unknown. AIM: To investigate the effect of HAIs on processes of care in surgical patients who died in hospital. METHODS: Surgeon-recorded infection data extracted from a national Australian surgical mortality audit (2012-2016) were grouped into HAIs and no infection. The audit included all-age surgical patients, who died in hospital. Not all patients had surgery. Excluded from analysis were patients with community-acquired infection and those with missing timing of infection. Multivariate logistic regression was used to determine the adjusted effects of HAIs on the processes of care in these patients. Costs associated with HAIs were estimated. FINDINGS: One-fifth of surgical patients who died did so with an HAI (2242 out of 11,681; 19.2%). HAI patients had increased processes of care compared to those who died without infection: postoperative complications [51.0% vs 30.3%; adjusted odds ratio (aOR): 2.20; 95% confidence interval (CI): 1.98-2.45; P < 0.001]; unplanned reoperations (22.6% vs 10.9%; aOR: 2.38; 95% CI: 2.09-2.71; P < 0.001) and unplanned intensive care unit admission (29.3% vs 14.8%; aOR: 2.18; 95% CI: 1.94-2.45; P < 0.001). HAI patients had longer hospital admissions and greater hospital costs than those without infection. CONCLUSION: HAIs were associated with increased processes of care and costs in surgical patients who died; these outcomes need to be investigated in surgical patients who survive.

Active transport and obesity prevention - A transportation sector obesity impact scoping review and assessment for Melbourne, Australia.

Given the alarming prevalence of obesity worldwide and the need for interventions to halt the growing epidemic, more evidence on the role and impact of transport interventions for obesity prevention is required. This study conducts a scoping review of the current evidence of association between modes of transport (motor vehicle, walking, cycling and public transport) and obesity-related outcomes. Eleven reviews and thirty-three primary studies exploring associations between transport behaviours and obesity were identified. Cohort simulation Markov modelling was used to estimate the effects of body mass index (BMI) change on health outcomes and health care costs of diseases causally related to obesity in the Melbourne, Australia population. Results suggest that evidence for an obesity effect of transport behaviours is inconclusive (29% of published studies reported expected associations, 33% mixed associations), and any potential BMI effect is likely to be relatively small. Hypothetical scenario analyses suggest that active transport interventions may contribute small but significant obesity-related health benefits across populations (approximately 65 health adjusted life years gained per year). Therefore active transport interventions that are low cost and targeted to those most amenable to modal switch are the most likely to be effective and cost-effective from an obesity prevention perspective. The uncertain but potentially significant opportunity for health benefits warrants the collection of more and better quality evidence to fully understand the potential relationships between transport behaviours and obesity. Such evidence would contribute to the obesity prevention dialogue and inform policy across the transportation, health and environmental sectors.

Feasibility, effectiveness and cost-effectiveness of a telephone-based weight loss program delivered via a hospital outpatient setting.

Engaging patients in a group-based weight loss program is a challenge for the acute-care hospital outpatient setting. To evaluate the feasibility, effectiveness and cost-effectiveness of a telephone-based weight loss service and an existing face-to-face, group-based service a non-randomised, two-arm feasibility trial was used. Patients who declined a two-month existing outpatient group-based program were offered a six-month research-based telephone program. Outcomes were assessed at baseline, two months (both groups) and six months (telephone program only) using paired t tests and linear regression models. Cost per healthy life year gained was calculated for both programs. The telephone program achieved significant weight loss (-4.1 ± 5.0 %; p = 0.001) for completers (n = 35; 57 % of enrolees) at six months. Compared to the group-based program (n = 33 completers; 66 %), the telephone program was associated with greater weight loss (mean difference [95%CI] -2.0 % [-3.4, -0.6]; p = 0.007) at two months. The cost per healthy life year gained was $33,000 and $85,000, for the telephone and group program, respectively. Telephone-delivered weight management services may be effective and cost-effective within an acute-care hospital setting, likely more so than usual (group-based) care.

Improved and standardized method for assessing years lived with disability after injury.

OBJECTIVE: To develop a standardized method for calculating years lived with disability (YLD) after injury. METHODS: The method developed consists of obtaining data on injury cases seen in emergency departments as well as injury-related hospital admissions, using the EUROCOST system to link the injury cases to disability information and employing empirical data to describe functional outcomes in injured patients. FINDINGS: Overall, 87 weights and proportions for 27 injury diagnoses involving lifelong consequences were included in the method. Almost all of the injuries investigated (96-100%) could be assigned to EUROCOST categories. The mean number of YLD per case of injury varied with the country studied. Use of the novel method resulted in estimated burdens of injury that were 3 to 8 times higher, in terms of YLD, than the corresponding estimates produced using the conventional methods employed in global burden of disease studies, which employ disability-adjusted life years. CONCLUSION: The novel method for calculating YLD after injury can be applied in different settings, overcomes some limitations of the method used to calculate the global burden of disease, and allows more accurate estimates of the population burden of injury.

Cost-effectiveness of diet and exercise interventions to reduce overweight and obesity.

OBJECTIVE: To analyze whether two dietary weight loss interventions--the dietary approaches to stop hypertension (DASH) program and a low-fat diet program--would be cost-effective in Australia, and to assess their potential to reduce the disease burden related to excess body weight. DESIGN: We constructed a multi-state life-table-based Markov model in which the distribution of body weight influences the incidence of stroke, ischemic heart disease, hypertensive heart disease, diabetes mellitus, osteoarthritis, post-menopausal breast cancer, colon cancer, endometrial cancer and kidney cancer. The target population was the overweight and obese adult population in Australia in 2003. We used a lifetime horizon for health effects and costs, and a health sector perspective for costs. We populated the model with data identified from Medline and Cochrane searches, Australian Bureau of Statistics published catalogues, Australian Institute of Health and Welfare, and Department of Health and Ageing. OUTCOME MEASURES: Disability adjusted life years (DALYs) averted, incremental cost-effectiveness ratios (ICERs) and proportions of disease burden avoided. ICERs under AUS$50,000 per DALY are considered cost-effective. RESULTS: The DASH and low-fat diet programs have ICERs of AUS$12,000 per DALY (95% uncertainty range: Cost-saving- 68,000) and AUS$13,000 per DALY (Cost-saving--130,000), respectively. Neither intervention reduced the body weight-related disease burden at population level by more than 0.1%. The sensitivity analysis showed that when participants' costs for time and travel are included, the ICERs increase to AUS$75,000 per DALY for DASH and AUS$49,000 per DALY for the low-fat diet. Modest weight loss during the interventions, post-intervention weight regain and low participation limit the health benefits. CONCLUSION: Diet and exercise interventions to reduce obesity are potentially cost-effective but have a negligible impact on the total body weight-related disease burden.

'Traffic-light' nutrition labelling and 'junk-food' tax: a modelled comparison of cost-effectiveness for obesity prevention.

INTRODUCTION: Cost-effectiveness analyses are important tools in efforts to prioritise interventions for obesity prevention. Modelling facilitates evaluation of multiple scenarios with varying assumptions. This study compares the cost-effectiveness of conservative scenarios for two commonly proposed policy-based interventions: front-of-pack 'traffic-light' nutrition labelling (traffic-light labelling) and a tax on unhealthy foods ('junk-food' tax). METHODS: For traffic-light labelling, estimates of changes in energy intake were based on an assumed 10% shift in consumption towards healthier options in four food categories (breakfast cereals, pastries, sausages and preprepared meals) in 10% of adults. For the 'junk-food' tax, price elasticities were used to estimate a change in energy intake in response to a 10% price increase in seven food categories (including soft drinks, confectionery and snack foods). Changes in population weight and body mass index by sex were then estimated based on these changes in population energy intake, along with subsequent impacts on disability-adjusted life years (DALYs). Associated resource use was measured and costed using pathway analysis, based on a health sector perspective (with some industry costs included). Costs and health outcomes were discounted at 3%. The cost-effectiveness of each intervention was modelled for the 2003 Australian adult population. RESULTS: Both interventions resulted in reduced mean weight (traffic-light labelling: 1.3 kg (95% uncertainty interval (UI): 1.2; 1.4); 'junk-food' tax: 1.6 kg (95% UI: 1.5; 1.7)); and DALYs averted (traffic-light labelling: 45,100 (95% UI: 37,700; 60,100); 'junk-food' tax: 559,000 (95% UI: 459,500; 676,000)). Cost outlays were AUD81 million (95% UI: 44.7; 108.0) for traffic-light labelling and AUD18 million (95% UI: 14.4; 21.6) for 'junk-food' tax. Cost-effectiveness analysis showed both interventions were 'dominant' (effective and cost-saving). CONCLUSION: Policy-based population-wide interventions such as traffic-light nutrition labelling and taxes on unhealthy foods are likely to offer excellent 'value for money' as obesity prevention measures.

Population prevalence of depression and mean Beck Depression Inventory score.

BACKGROUND: For some phenomena the mean of population distributions predicts the proportion of people exceeding a threshold value. AIMS: To investigate whether in depression, too, the population mean predicts the number of individuals at the extreme end of the distribution. METHOD: We used data from the European Outcome in Depression International Network (ODIN) study from populations in Finland, Norway and the UK to create models that predicted the prevalence of depression based on the mean Beck Depression Inventory (BDI) score. The models were tested on data from Ireland and Spain. RESULTS: Mean BDI score correlated well with the prevalence of depression determined by clinical interviews. A model based on the beta distribution best fitted the BDI distribution. Both models predicted the depression prevalence in Ireland and Spain fairly well. CONCLUSIONS: The mean of a continuous population distribution of mood predicts the prevalence of depression. Characteristics of both individuals and populations determine depression rates.

Quantitative health impact assessment: current practice and future directions.

STUDY OBJECTIVE: To assess what methods are used in quantitative health impact assessment (HIA), and to identify areas for future research and development. DESIGN: HIA reports were assessed for (1) methods used to quantify effects of policy on determinants of health (exposure impact assessment) and (2) methods used to quantify health outcomes resulting from changes in exposure to determinants (outcome assessment). MAIN RESULTS: Of 98 prospective HIA studies, 17 reported quantitative estimates of change in exposure to determinants, and 16 gave quantified health outcomes. Eleven (categories of) determinants were quantified up to the level of health outcomes. Methods for exposure impact assessment were: estimation on the basis of routine data and measurements, and various kinds of modelling of traffic related and environmental factors, supplemented with experts' estimates and author's assumptions. Some studies used estimates from other documents pertaining to the policy. For the calculation of health outcomes, variants of epidemiological and toxicological risk assessment were used, in some cases in mathematical models. CONCLUSIONS: Quantification is comparatively rare in HIA. Methods are available in the areas of environmental health and, to a lesser extent, traffic accidents, infectious diseases, and behavioural factors. The methods are diverse and their reliability and validity are uncertain. Research and development in the following areas could benefit quantitative HIA: methods to quantify the effect of socioeconomic and behavioural determinants; user friendly simulation models; the use of summary measures of public health, expert opinion and scenario building; and empirical research into validity and reliability.

[The importance of the National Public Health Compass for public health]. / Het belang van een kompas voor de volksgezondheid.

The National Public Health Compass provides an online overview of the current state of public health in the Netherlands. The Compass contains largely the same information as the Dutch Public Health Status and Forecasts Reports, the 2002 edition of which showed stagnation of public health improvement. This highlights the role of these overviews in the signalling of public health problems. The quality of the reporting on public health has been shown to be high and the reports are successful in providing information for Dutch health policy. However, if the Dutch are to regain their leading position in Europe, more policy efforts are required.