Environmental impact of a blood test reduction intervention in adult intensive care units: A before and after quality improvement project.

BACKGROUND: Pathology testing is a very common investigation in the intensive care unit (ICU). Many tests are ordered on a routine basis rather than for a specific clinical indication, resulting in potential patient harm and unnecessary financial and environmental costs. OBJECTIVE: The objective of this study was to determine whether a multifaceted intervention based on the principles of education, audit, and feedback can result in a decrease in unnecessary pathology tests without a commensurate increase in adverse patient outcomes and to measure this decrease in terms of the associated reduction in environmental and financial costs. METHODS: A before and after quality improvement project was conducted between 2017 and 2019 across four ICUs in three 12-month phases, divided according to baseline, intervention implementation, and follow-up. Local clinician champions from each site partnered with the project coordinating centre to develop and implement a range of interventions based on the principles of education, audit, and feedback. Data were collected for the number of pathology tests performed and the clinical characteristics of patients admitted to a participating ICU across the three phases. RESULTS: A total of 196 323 arterial blood gases and 460 258 other tests across eight categories were performed on the 22 210 patients admitted to participating ICUs during the project. A decrease in testing was observed across all but one category, with the greatest reduction seen in arterial blood gases (31.2% reduction in tests per bed-day). Across all categories, this equated to a mean reduction of 1.8 tCO2e (tonnes of carbon dioxide equivalent), a potential estimated total saving of Australian dollar $918 497.50. No increase in adverse clinical outcomes was observed. CONCLUSION: A multifaceted intervention based on the principles of education, audit, and feedback can produce a significant decrease in the number of unnecessary pathology tests performed. This reduction translates to substantial environmental and financial savings without any associated increase in adverse patient outcomes.

Does an electronic pathology ordering system change the volume and pattern of routine testing in hospital? An interrupted time series analysis.

AIMS: Identifying and reducing low-value care is a vital issue in Australia, with pathology test ordering a common focus in this field. This study builds on previous research and aimed to quantify the impact of the implementation of an electronic ordering (e-ordering) system on the volume of pathology testing, compared with manual (paper based) ordering. METHODS: An audit and analysis of pathology test data were conducted, using an interrupted time series design to investigate the impact of the e-ordering system on pathology ordering patterns. All medical and surgical adult inpatients at a tertiary referral hospital in Newcastle, Australia, were included over a 3-year period. RESULTS: Overall, there were no statistically significant differences in the volume of orders due to the implementation of the e-ordering system. There was a slight increase in the aggregated volume (tests per admission and tests per bed day) of tests ordered across the entire study period, reflecting a secular trend. CONCLUSIONS: Despite providing greater visibility and tracking of orders, we conclude that the implementation of an e-ordering system does not, in and of itself, reduce ordering volume. Efforts to identify and reduce low-value care will require intentional effort and specifically designed educational programmes or hard-wired algorithms.

The NSW Pathology Atlas of Variation: Part II-The Association of Variation in Emergency Department Laboratory Investigations With Outcomes for Patients Presenting With Chest Pain.

STUDY OBJECTIVE: Laboratory test use varies across emergency departments (EDs), yet little is known about the effect of this variation on outcomes. The aim of this study is 2-fold: to stratify EDs into clusters based on similar test use, and to determine whether the clusters differ in patient operational outcomes among patients presenting to EDs with undifferentiated chest pain. METHODS: We conducted a retrospective cohort study of 222,788 patients presenting with undifferentiated chest pain at 44 EDs across New South Wales, Australia, from January 2017 to September 2018. The operational outcomes measured in this study included ED length of stay, hospital admission, the Emergency Treatment Performance target, and 7- and 15-day all-cause and same-cause ED revisit rates. We performed a hierarchic cluster analysis to identify ED clusters and mixed-effects models to determine the association between the clusters and the operational outcomes. RESULTS: Two ED clusters, moderate users (18 EDs) and high users (26 EDs), were identified. After adjustment for confounders, the median ED length of stay was greater by 15.7% (equivalent to 33.4 minutes) in high versus moderate users (95% confidence interval 6.62 to 25.52 minutes), and high users were less likely to achieve the Emergency Treatment Performance target versus moderate users (odds ratio 0.66; 95% confidence interval 0.50 to 0.86). There were no significant differences between the users in hospital admission and ED revisit rates. CONCLUSION: Our findings suggest that reducing test use may reduce ED length of stay and improve the chance of achieving the Emergency Treatment Performance target.

The NSW Pathology Atlas of Variation: Part I-Identifying Emergency Departments With Outlying Laboratory Test-Ordering Practices.

STUDY OBJECTIVE: Abdominal pain and chest pain are leading reasons for emergency department (ED) presentations, with laboratory tests frequently ordered to aid the diagnostic process. Our study aims to identify EDs with outlying laboratory ordering practices for patients presenting with undifferentiated abdominal pain and chest pain. METHODS: This was a retrospective observational study of 519,597 patients who presented with the complaint of abdominal or chest pain at 44 major hospital EDs across New South Wales, Australia, from January 2017 to September 2018. For each condition, we evaluated the risk-adjusted rate of ordering at least 1 laboratory test and of each of the top 15 ordered tests. We used funnel plots to graph variations in test ordering and identify EDs with outlying test-ordering practices. EDs lying above or below the 99.8% funnel control limits were regarded as outliers. RESULTS: From 3,360,152 unplanned presentations, abdominal pain and chest pain represented 8.8% (n=296,809) and 6.6% (n=222,788) of all cases, respectively. No major outliers were observed for ordering at least one laboratory test; however, variations were observed for individual tests. For abdominal pain, the top 3 tests with the highest ordering variation included glucose (20 outlier EDs), C-reactive protein (10 outliers), and calcium-magnesium-phosphate (7 outliers). For chest pain, the top 3 tests with the highest ordering variation were glucose (21 outlier EDs), C-reactive protein (17 outliers), and liver function test (14 outliers). CONCLUSION: Identifying EDs with outlying laboratory-ordering practices is the first step in initiating context-specific evaluation of whether outlying variations are unwarranted.

Potentially redundant repeat liver function test ordering practices in australian hospitals: A 5-year multicentre retrospective observational study.

BACKGROUND: Repeat Liver Function Tests (LFTs) are often necessary for monitoring purposes, but retesting within a short time interval may suggest potentially redundant repeat test (PRRT) ordering practices. We aimed to determine the proportion of potentially redundant repeat LFT ordering and identify associated factors in hospitals. METHODS: A 5-year (2014-2018) retrospective cohort study in six hospitals in New South Wales, Australia. A total of 131 885 patient admissions with repeat LFTs in the general ward (n = 102 852) and intensive care unit (ICU) (n = 29 033) met the inclusion criteria. Existing guidelines do not support retesting LFT for at least 48-72 hours. We used 24 hours as a conservative minimum retesting interval to examine PRRT ordering. We fit binary logistic regression to identify factors associated with PRRT ordering in two conditions with the highest repeat LFTs. RESULTS: There were a total of 298 567 repeat LFTs (medians of 2 repeats/admission and retesting interval of 25.6 hours) in the general ward and 205 929 (medians of 4 repeats/admission and retesting interval of 24.1 hours) in the ICU. The proportions of PRRT ordering were 35.2% (105 227/298 567) and 47.7% (98 307/205 929) in the general ward and ICU, respectively. The proportions of patients who received at least one PRRT were 52.3% (53 766/102 852) and 83.9% (24 365/29 033) in the general ward and ICU, respectively. Age, gender and the number of comorbidities and procedures were associated with the likelihood of ordering PRRT depending on the settings. CONCLUSION: Repeat LFT testing is common in Australian hospitals, often within 24 hours, despite guidelines not supporting too-early repeat testing. Further research should be conducted to understand whether better adherence to existing guidelines is required, or if there is any case for guidelines to be updated based on certain patient subpopulations.

Evaluating the long-term effects of a data-driven approach to reduce variation in emergency department pathology investigations: study protocol for evaluation of the NSW Health Pathology Atlas of variation.

INTRODUCTION: Variation in test ordering is a major issue in Australia and globally with significant financial and clinical impacts. There is currently a lack of research identifying and remediating variation in the use of pathology tests in emergency departments (EDs). In 2019, NSW Health Pathology introduced the Pathology Atlas of Variation that uses a data-driven tool (the Atlas Analytical Model) to investigate test order variation across New South Wales (NSW) and engage with local health districts (LHDs) to reduce variation. The objectives of this study are to evaluate whether this data-driven approach is associated with: (1) a reduction in test order variation; (2) improvements in patient outcomes and (3) cost benefits, for the five most frequent ED presentations. METHODS AND ANALYSIS: This is a large multisite study including 45 major public hospitals across 15 LHDs in NSW, Australia. The Atlas Analytical Model is a data analytics and visualisation tool capable of providing analytical insights into variation in pathology investigations across NSW EDs, which will be used as feedback to inform LHDs efforts to reduce variation. Interrupted time series analyses using 2 years pre Atlas (2017-2018) and 2 years post Atlas (2021-2022) data will be conducted. Study data will be obtained by linking hospital and laboratory databases. Funnel plots will be used to identify EDs with outlying pathology test ordering practices. The outcome measures include changes in test ordering practices, ED length of stay, hospital admission and cost benefits (total pathology costs per ED encounter). ETHICS AND DISSEMINATION: The study has received ethical approval from the NSW Population and Health Service Research Ethics Committee (reference, 2019/ETH00184). The findings of the study will be published in peer-reviewed journals and disseminated via presentations at conferences. We will also engage directly with key stakeholders to disseminate the findings and to inform policies related to pathology testing in the ED.