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

Diagnostic Informatics-The Role of Digital Health in Diagnostic Stewardship and the Achievement of Excellence, Safety, and Value

Diagnostic investigations (pathology laboratory and medical imaging) aim to: increase certainty of the presence or absence of disease by supporting the process of differential diagnosis; support clinical management; and monitor a patient's trajectory (e. g., disease progression or response to treatment). Digital health can be defined as the collection, storage, retrieval, transmission, and utilization of data, information, and knowledge to support healthcare. Digital health has become an essential component of the diagnostic process, helping to facilitate the accuracy and timeliness of information transfer and enhance the effectiveness of decision-making processes. Digital health is also important to diagnostic stewardship, which involves coordinated guidance and interventions to ensure the appropriate utilization of diagnostic tests for therapeutic decision-making. Diagnostic stewardship and informatics are thus important in efforts to establish shared decision-making. This is because they contribute to the establishment of shared information platforms (enabling patients to read, comment on, and share in decisions about their care) based on timely and meaningful communication. This paper will outline key diagnostic informatics and stewardship initiatives across three interrelated fields: (1) diagnostic error and the establishment of outcomes-based diagnostic research; (2) the safety and effectiveness of test result management and follow-up; and (3) digitally enhanced decision support systems.

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.