A multi-level strategy for a long lasting reduction in unnecessary laboratory testing: A multicenter before and after study in a teaching hospital network

Interventions to reduce repetitive ordering of low-value inpatient laboratory tests: a systematic review

BACKGROUND

Over-ordering of daily laboratory tests adversely affects patient care through hospital-acquired anaemia, patient discomfort, burden on front-line staff and unnecessary downstream testing. This remains a prevalent issue despite the 2013 Choosing Wisely recommendation to minimise unnecessary daily labs. We conducted a systematic review of the literature to identify interventions targeting unnecessary laboratory testing.

METHODS

We systematically searched MEDLINE, EMBASE, Cochrane Central and SCOPUS databases to identify interventions focused on reducing daily complete blood count, complete metabolic panel and basic metabolic panel labs. We defined interventions as 'effective' if a statistically significant reduction was attained and 'highly effective' if a reduction of ≥25% was attained.

RESULTS

The search yielded 5646 studies with 41 articles that met inclusion criteria. We grouped interventions into one or more categories: audit and feedback, cost display, education, electronic medical record (EMR) change, and policy change. Most interventions lasted less than a year and used a multipronged approach. All five strategies were effective in most studies with EMR change being the most commonly used independent strategy. EMR change and policy change were the strategies most frequently reported as effective. EMR change was the strategy most frequently reported as highly effective.

CONCLUSION

Our analysis identified five categories of interventions targeting daily laboratory testing. All categories were effective in most studies, with EMR change being most frequently highly effective.

PROSPERO REGISTRATION NUMBER

CRD42021254076.

Sustainable Laboratory-Driven Method to Decrease Repeat, Same-Day WBC Differentials at a Tertiary Care Center

OBJECTIVES

A CBC with WBC differential is often ordered when a CBC alone would be sufficient for patient care. Performing unnecessary WBC differentials adds to costs in the laboratory. Our objective was to implement a laboratory middleware algorithm to cancel repeat, same-day WBC differentials to achieve lasting improvements in laboratory resource allocation.

METHODS

Repeat same-day WBC differentials were first canceled only on intensive care unit samples; after a successful trial period, the algorithm was applied hospital-wide. We retrospectively reviewed CBC with differential orders from pre- and postimplementation periods to estimate the reduction in WBC differentials and potential cost savings.

RESULTS

The algorithm led to a monthly WBC differential cancellation rate of 5.40% for a total of 10,195 canceled WBC differentials during the cumulative postimplementation period (September 25, 2019, to December 31, 2020). Nearly all (99.94%) differentials remained canceled. Most patients only had one WBC differential canceled (range, 1-38). Savings estimates showed savings of $0.99 CAD per canceled differential and 1,060 minutes (17.7 hours) of technologist time.

CONCLUSIONS

A middleware algorithm to cancel repeat, same-day WBC differentials is a simple and sustainable way to achieve lasting improvements in laboratory utilization.

Carbon emissions and hospital pathology stewardship: a retrospective cohort analysis

BACKGROUND

As healthcare is responsible for 7% of Australia's carbon emissions, it was recognised that a policy implemented at St George Hospital, Sydney to reduce non-urgent pathology testing to two days per week and on other days only if essential, would also result in a reduction in carbon emissions. The aim of the study was to measure the impact of this intervention on pathology collections and associated carbon emissions and pathology costs.

METHODS

The difference in the number of pathology collections, carbon dioxide equivalents (CO₂ e) for five common blood tests, and pathology cost per admission were compared between a 6-month reference period and 6-month intervention period. CO₂ e were estimated from published pathology CO₂ e impacts. Cost was derived from pathology billing records. Outcomes were modelled using multivariable negative binomial, generalised linear, and logistic regression.

RESULTS

In total, 24,585 pathology collections in 5,695 patients were identified. In adjusted analysis, the rate of collections was lower during the intervention period (rate ratio 0.90, 95% CI, 0.86 to 0.95; P<0.001). This resulted in a reduction of 53 g CO₂ e (95% CI, 24 to 83g; P<0.001) and $22 (95% CI, $9 to $34; P=0.001) in pathology fees per admission. The intervention was estimated to have saved 132kg CO₂ e (95% CI, 59 to 205kg) and $53,573 (95% CI, 22,076 to 85,096).

CONCLUSIONS

Reduction in unnecessary hospital pathology collections was associated with both carbon emission and cost savings. Pathology stewardship warrants further study as a potentially scalable, cost-effective, and incentivising pathway to lowering healthcare associated greenhouse gas emissions. This article is protected by copyright. All rights reserved.

Peer-pressure and overuse: The effect of a multimodal approach on variation in benzodiazepine prescriptions in a network of public hospitals

BACKGROUND

The epidemic phenomenon leading to a progressive increase in benzodiazepine prescriptions represents a challenge for healthcare systems. In the hospital setting, indicators of prescription variation and potential of overuse are lacking and are rarely monitored. Inter-hospital monitoring/benchmarking, via peer-pressure, can foster the motivation to change. The aim of this investigation was to analyse whether, the reduction in new benzodiazepine prescriptions obtained thanks to a Choosing Wisely campaign, also contributed to reducing inter-hospital variation.

METHODS

Secondary analysis of a multicentre longitudinal intervention in a network of five teaching hospitals in Switzerland. We set out to explore the effect, on inter-hospital benzodiazepine prescription variation, of a continuous monitoring/benchmarking strategy, which was proven effective in reducing the intra-hospital prescription rate. The variance was used to assess inter-hospital variation. To investigate the impact of the intervention a segmented regression analysis of interrupted time series was performed.

RESULTS

A total of 36 299 admissions over 42 months were analysed (1 July 2014 to 31 December 2017). Before the intervention a significant constant upward trend in inter-hospital variability was found (+0.901; SE 0.441; P < .05). After the intervention, the variance trend line significantly changed, decreasing by -0.257 (SE 0.005: P < .001) and producing by December 2017, a 27% absolute reduction.

CONCLUSIONS

Thanks to a multimodal approach based on monitoring-benchmarking, a significant reduction in inter-hospital benzodiazepine prescription variation was obtained. Aligning to peer strategy is a spontaneous consequence of open benchmarking that can be used to convert a variation-based suspicion of overuse, into an occasion to actively review prescription habits.

Comparative Impact of C-Reactive Protein Testing in Hospitalized Patients with Acute Respiratory Tract Infection: A Retrospective Cohort Study

INTRODUCTION

Evidence-based data on the usefulness of C-reactive protein (CRP) monitoring in patient outcomes are lacking. CRP testing in patients with acute respiratory tract infections (ARTIs) showed wide variability between internal medicine wards in our hospital network. In this study we aimed to investigate whether repetitive CRP tests might influence the switch of antibiotic therapy from intravenous (IV) to oral (PO) route and whether CRP measurements affect the combined outcome of readmission and in-hospital mortality.

METHODS

This was a retrospective cohort study conducted in two internal medicine wards selected in a network of five teaching hospitals on the basis of their CRP prescription frequency. Clinical and laboratory data of 296 patients with ARTIs and admitted from 1 January to 31 December 2016 were analyzed.

RESULTS

The mean ± SD of CRP tests/patient and the in-hospital length of antibiotic therapy (days) in the low-CRP (L-CRP) vs the high-CRP (H-CRP) wards were 1.14 ± 0.62 vs 3.43 ± 1.54 (p < 0.001) and 7.1 ± 2.6 vs 7.5 ± 3.2 (p = 0.298), respectively. The probability of antibiotic switching was higher in the L-CRP ward (HR 2.90, 95% CI 1.69-4.95, p < 0.001) correlating with the lower number of CRP determinations (HR 1.20, 95% CI 1.01-1.41, p = 0.034). In-hospital readmissions and mortality rates did not significantly differ between the two wards (L-CRP 17.1% vs H-CRP 10.0%, p = 0.133). The number of CRP determinations affected the combined outcome (OR 1.38, 95% CI 1.01-1.90, p = 0.043).

CONCLUSIONS

Repetitive CRP testing in ARTIs offers no added value to either antibiotic switch or patient outcomes in hospitalized patients in internal medicine wards.

Testing, Testing. 1, 2, 3. Is This Mic On?

This issue of the International Journal of Clinical Practice includes 4 articles regarding testing in medicine. Our Associate Editor for Cardiovascular Disease Prevention and Metabolic Diseases, Anthony Wierzbicki, together with Timothy Reynolds, start us off with a thoughtful extended editorial/perspective with the title (translated) "first, do no harm.". This article is protected by copyright. All rights reserved.

A multi-level strategy for a long lasting reduction in unnecessary laboratory testing: A multicenter before and after study in a teaching hospital network

BACKGROUND

Reducing unnecessary laboratory blood testing in the hospital setting represents a challenge to improve the adequacy of healthcare and a tricky task for teaching hospitals. Our hospital network actively participates in the Choosing Wisely Campaign and is engaged in avoiding unnecessary low value interventions and investigations. We aimed to study whether a multi-level approach combining educational and web-system based interventions, could be effective in reducing laboratory testing and related costs.

METHODS

Multicenter, proof of concept, prospective, observational, before and after study, in a network of public hospitals in Switzerland. All patients admitted between 1 January 2015 and 31 December 2017 were analyzed. A multi-level strategy based on online continuous monitor benchmarking and educational support was applied in the internal medicine services. The primary outcome was a significant reduction in the number of laboratory tests per patient and per day during the hospital stay. Secondary outcomes were reduction in the blood sample volume taken per patient and per day in laboratory costs.

RESULTS

Over the 36 months of the study, 33 309 admissions were analyzed. A significant reduction of laboratory tests per patient and per day of hospitalisation was found:-11%, P-value<0.001; -6%, P-value <0.001. The mean monthly blood volume, per patient and per day of hospital stay and laboratory costs per patient was also significantly reduced: -7%, P-value<0.05; -3%, P-value<0.01, and -17%, P-value<0.01, respectively.

CONCLUSIONS

The obtained reduction in the number of laboratory tests, blood volume withdrawn and related costs, support the idea that an open web-based system, involving all health care providers, coupled with educational interventions, can be helpful in generating awareness of prescriber habits and to catalyze changes in their behaviour. The peer pressure related to the unmasked benchmarking process did probably play a determinant role.