Correction: Identifying areas of Australia with high out-of-hospital cardiac arrest incidence and low bystander cardiopulmonary resuscitation rates: A retrospective, observational study.

[This corrects the article DOI: 10.1371/journal.pone.0301176.].

Identifying areas of Australia with high out-of-hospital cardiac arrest incidence and low bystander cardiopulmonary resuscitation rates: A retrospective, observational study.

AIM: This study aims to explore regional variation and identify regions within Australia with high incidence of out-of-hospital cardiac arrest (OHCA) and low rates of bystander cardiopulmonary resuscitation (CPR). METHOD: Adult OHCAs of presumed medical aetiology occurring across Australia between 2017 and 2019 were mapped onto local government areas (LGA) using the location of arrest coordinates. Bayesian spatial models were applied to provide "smoothed" estimates of OHCA incidence and bystander CPR rates (for bystander-witnessed OHCAs) for each LGA. For each state and territory, high-risk LGAs were defined as those with an incidence rate greater than the state or territory's 75th percentile and a bystander CPR rate less than the state or territory's 25th percentile. RESULTS: A total of 62,579 OHCA cases attended by emergency medical services across 543 LGAs nationwide were included in the study. Nationally, the OHCA incidence rate across LGA ranged from 58.5 to 198.3 persons per 100,000, while bystander CPR rates ranged from 45% to 75%. We identified 60 high-risk LGAs, which were predominantly located in the state of New South Wales. Within each region, high-risk LGAs were typically located in regional and remote areas of the country, except for four metropolitan areas-two in Adelaide and two in Perth. CONCLUSIONS: We have identified high-risk LGAs, characterised by high incidence and low bystander CPR rates, which are predominantly in regional and remote areas of Australia. Strategies for reducing OHCA and improving bystander response may be best targeted at these regions.

The development of a risk-adjustment strategy to benchmark emergency medical service (EMS) performance in relation to out-of-hospital cardiac arrest in Australia and New Zealand.

INTRODUCTION: The aim of this study was to develop a risk adjustment strategy, including effect modifiers, for benchmarking emergency medical service (EMS) performance for out-of-hospital cardiac arrest (OHCA) in Australia and New Zealand. METHOD: Using 2017-2019 data from the Australasian Resuscitation Outcomes Consortium (Aus-ROC) OHCA Epistry, we included adults who received an EMS attempted resuscitation for a presumed medical OHCA. Logistic regression was applied to develop risk adjustment models for event survival (return of spontaneous circulation at hospital handover) and survival to hospital discharge/30 days. We examined potential effect modifiers, and assessed model discrimination and validity. RESULTS: Both OHCA survival outcome models included EMS agency and the Utstein variables (age, sex, location of arrest, witnessed arrest, initial rhythm, bystander cardiopulmonary resuscitation, defibrillation prior to EMS arrival, and EMS response time). The model for event survival had good discrimination according to the concordance statistic (0.77) and explained 28% of the variation in survival. The corresponding figures for survival to hospital discharge/30 days were 0.87 and 49%. The addition of effect modifiers did little to improve the performance of either model. CONCLUSION: The development of risk adjustment models with good discrimination is an important step in benchmarking EMS performance for OHCA. The Utstein variables are important in risk-adjustment, but only explain a small proportion of the variation in survival. Further research is required to understand what factors contribute to the variation in survival between EMS.

Review article: Outcomes of patients who are not transported following ambulance attendance: A systematic review and meta-analysis.

The aim of this systematic review and meta-analysis was to evaluate the outcomes of patients who are not transported to hospital following ambulance attendance. A database search was conducted using PubMed, Medline, Embase, CINAHL and Cochrane Library. Studies were included if they analysed the outcomes of patients who were not transported following ambulance attendance. The primary outcome of this review was subsequent presentation to an ED following a non-transport decision. Secondary outcome measures included hospital admission, subsequent presentation to alternative service provider (e.g. private physician), and death at follow up. The search yielded 1953 non-duplicate articles, of which 10 met the inclusion criteria. Three studies specified that the non-transport decision was emergency medical services (EMS)-initiated, seven studies did not specify. Meta-analysis found substantial heterogeneity between estimates (I2 >50%) that was likely because of differences in study design, length of follow up, patient demographic and sample size. Between 5% and 46% (pooled estimate 21%; 95% CI 11-31%) of non-transport patients subsequently presented to ED. Few (pooled estimate 8%; 95% CI 5-12%) EMS-initiated non-transport patients were admitted to hospital compared to the unspecified group (pooled estimate 40%; 95% CI 7-72%). Mortality rates were low across included studies. Studies found varying estimates for the proportion of patients discharged at the scene that subsequently presented to ED. Few patients were admitted to hospital when the non-transport decision was initiated by EMS, indicating EMS triage is a relatively safe practice. More research is needed to elucidate the context of non-transport decisions and improve access to alternative pathways.

What are the factors of organisational culture in health care settings that act as barriers to the implementation of evidence-based practice? A scoping review.

BACKGROUND: The responsibility to implement evidence-based practice (EBP) in a health care workplace does not fall solely on the individual health care professional. Organisational barriers relate to the workplace setting, administrational support, infrastructure, and facilities available for the retrieval, critique, summation, utilisation, and integration of research findings in health care practices and settings. OBJECTIVE: Using a scoping review approach, the organisational barriers to the implementation of EBP in health care settings were sought. METHOD: This scoping review used the first five of the six stage methodology developed by Levac et al. (2010). The five stages used are: 1) Identify the research question; 2) identify relevant studies; 3) study selection; 4) charting the data; and 5) collating, summarising and reporting the results. The following databases were searched from January 2004 until February 2014: Medline, EMBASE, EBM Reviews, Google Scholar, The Cochrane Library and CINAHL. RESULTS: Of the 49 articles included in this study, there were 29 cross-sectional surveys, six descriptions of specific interventions, seven literature reviews, four narrative reviews, nine qualitative studies, one ethnographic study and one systematic review. The articles were analysed and five broad organisational barriers were identified. CONCLUSIONS: This scoping review sought to map the breadth of information available on the organisational barriers to the use of EBP in health care settings. Even for a health care professional who is motivated and competent in the use of EBP; all of these barriers will impact on their ability to increase and maintain their use of EBP in the workplace.