Managing inappropriate utilization of laboratory resources

Predicting abnormal C-reactive protein level for improving utilization by deep neural network model

BACKGROUND

C-reactive protein (CRP) is an inflammatory biomarker frequently used in clinical practice. However, insufficient evidence-based ordering inevitably results in its overuse or underuse. This study aims to predict its normal and abnormal levels using the deep neural network (DNN) models, helping clinicians order this item more appropriately and intelligently.

METHODS

We considered complete blood count (CBC) parameters as feature vectors and 10 mg/L as a cutoff value for CRP. Several models, including linear support vector classification, logistic regression, decision trees, random forests, and DNN, were developed based on a dataset of 53834 medical records to predict binary output. We externally validated DNN models on independent 20723 samples through discrimination, calibration curve, and decision curve analysis.

RESULTS

DNN models has the best area under the receiver operating characteristic curves (AUC). Learning curves revealed that models' AUC, balanced accuracy, and F1 score do not significantly and continuously improve following increasing data volume. In internal validation, the AUC, balanced accuracy, and the F1 score of 10 models were 0.818 (0.95 CI: 0.812-0.824), 0.741 (0.95 CI: 0.736-0.747), and 0.649 (0.95 CI: 0.643-0.656), respectively. These metrics were 0.817 (0.95 CI: 0.816-0.817), 0.741 (0.95 CI: 0.740-0.742), and 0.641 (0.95 CI: 0.640-0.642), respectively, in external validation. AUC and balanced accuracy shown no significant difference (P-values were 0.106 and 0.339). CRP10-C2 model has the lowest Brier score of 0.154, AUC of 0.818, and calibration curve formula of y=1.001x-0.010, which was identified as a target model to deploy in the app.

CONCLUSIONS

DNN models obtained moderate performance, surpassing baseline indices in distinguishing binary CRP levels. They are good generalizations and well-calibrated. The CRP-C2 model can enhance CRP utilization by informing the orders appropriately and can contribute to inflammatory diagnostics in primary health care where CBC is available, but the CRP test is inaccessible.

Guidance-Based Appropriateness of Hemostasis Testing in the Acute Setting

In this review, we aim to highlight the extent of inappropriate hemostasis testing and provide practical guidance on how to prevent it. We will focus on the acute setting, including but not limited to the emergency department and intensive care unit. To this end, we will first discuss the significance of inappropriateness, in the general context of laboratory medicine. This includes acknowledging the importance of the phenomenon and attempting to define it. Next, we describe the harmful consequences of inappropriate testing. Finally, we focus on the inappropriate use of hemostasis testing in the acute setting. The second section describes how interventions-in particular, the implementation of guidance for testing-can efficiently reduce inappropriateness. In the third section, we summarize the available recommendations for rational use of hemostasis testing (platelet count, activated partial thromboplastin time, prothrombin time/international normalized ratio, fibrinogen, thrombin time, D-dimer, anti-Xa assay, antithrombin, ADAMTS13 activity, antiheparin-PF4 antibodies, viscoelastometric tests, coagulation factors, and platelet function testing), as supported by guidelines, recommendations, and/or expert opinions. Overall, this review is intended to be a toolkit in the effort to promote the appropriate use of hemostasis testing. Hopefully, the new In Vitro Diagnostic Medical Device Regulation (EU) 2017/746 (IVDR) should help in improving the availability of evidence regarding clinical performance of hemostasis assays.

Impact of Order Restrictions on Hemoglobin A1c Requests at Primary Health Care Centers in Riyadh, Saudi Arabia

Purpose

The aim of the study was to assess the effect of policy intervention on the physician ordering of HbA1c for the patients seen at the primary health care center in Riyadh, Saudi Arabia.

Methods

The study included patients over the age of 18 for whom HbA1c tests were ordered before and after the policy restrictions were implemented at the three main Primary Health Care Centers under the Ministry of National Guard Health Affairs (MNGHA) in Riyadh, between October 2020 and August 2023. Several data management steps and restrictions were carried out to identify the patients seen before and after the intervention and controlled for the confounders. The outcome variable was inappropriate testing, and early testing was defined based on standard cutoffs of HbA1c, diabetic control, and patient history. The logistic regression analysis was used to identify predictors for early testing.

Results

Among 16,290 participants, the mean age was 50 ± 16 years, with a predominance of females (66.5%). Approximately 22.3% of participants were diabetic, and the mean HbA1c level was 6.2 ± 1.55%. About 89.6% of tests were deemed inappropriate based on criteria for glycemic control, diabetic status, and duration of testing. Policy restrictions led to a 70.3% reduction in the odds of early testing (OR = 0.297, 95% CI: 0.246-0.358, p < 0.001). Each unit increase in HbA1c decreased the odds of early testing by 1.517 (OR = 0.219, 95% CI: 0.193-0.249, p < 0.001). Additionally, younger participants were more likely to undergo early testing, with odds decreasing by 3% for each additional year of age (OR = 0.970, 95% CI: 0.966-0.974, p < 0.001).

Conclusion

We conclude that policy restriction alone might not be effective in reducing the burden of early testing. The early testing tendency was less in the post-intervention period. However, early testing was a common practice in both pre- and post-intervention phases. As physicians are the ones ordering the tests, deeper insight is needed from the physician's perspective.

Revisiting the Environmental Impact of Inappropriate Clinical Laboratory Testing: A Comprehensive Overview of Sustainability, Economic, and Quality of Care Outcomes

BACKGROUND

The use of laboratory resources has seen a substantial increase in recent years, driven by automation and emerging technologies. However, inappropriate use of laboratory testing, encompassing both overuse and underuse, poses significant challenges.

CONTENT

This review explores the complex interplay between patient safety, economic, and environmental factors-known as the "triple bottom line" or "3Ps" for people, profit, and planet-associated with inappropriate use of laboratory resources. The first part of the review outlines the impact of inappropriate laboratory testing on patient safety and economic outcomes. Then the review examines the available literature on the environmental impact of laboratory activities. Several practical solutions for mitigating the environmental impact of laboratories are discussed. Finally, this review emphasizes how decreasing unnecessary laboratory testing results in cost savings and environmental benefits, as evidenced by interventional studies, without compromising patient safety.

SUMMARY

The implementation of sustainable practices in laboratories can create a virtuous circle in which reduced testing enhances cost-efficiency, reduces the environmental footprint, and ensures patient safety, thereby benefiting the 3Ps. This review highlights the critical need for appropriate laboratory resource utilization in achieving sustainability in healthcare.

Guidelines for the prescription of standard hematology and biochemistry clinical laboratory tests in the intensive care unit: A scoping review protocol

OBJECTIVE

This scoping review protocol describes the strategy for a scoping review that aims to provide a comprehensive overview of published guidelines for the prescription of standard laboratory tests performed in intensive care unit (ICU) patients.

BACKGROUND

The use of clinical laboratories is constantly increasing. However, there is evidence of inappropriate use. Inappropriate laboratory testing has the potential to harm patients, increase costs, burden staff, and has an environmental impact. Effective management can be achieved through demand managing strategies, such as providing guidelines on performing the appropriate test, for the right patient, at the right time. Although national and international guidelines exist for individual tests, a comprehensive summary of available recommendations for laboratory testing in the ICU is currently unavailable.

INCLUSION CRITERIA

This scoping review will incorporate documents that provide explicit advice on which test to perform in ICU patients. We selected 34 tests routinely ordered in the ICU. This review will consider any document type that matches our concept and context. We will consider gray literature with appropriate adherence to guidelines methodology. We will not limit the review by geographical location, but will only include articles published in English.

SEARCH STRATEGY

Our scoping review will follow the Joanna Brigg Institute (JBI) methodology. We will search Medline (PubMed), Embase, Scopus, Google Scholar, and Google. Our search strategy adheres to the JBI 3-step construction approach for systematic reviews. We will search for keywords related to guidelines, laboratory testing, and the 34 selected tests. We will report our study using the S1 Checklist. Review registration number: osf.io/yfs9z.

Effect of using smaller blood volume tubes and closed blood collection devices on total blood loss in patients undergoing major cardiac and vascular surgery

BACKGROUND

Diagnostic laboratory tests are an integral part of managing hospitalized patients. In particular, patients in the intensive care units (ICUs) can experience a concerning amount of blood loss due to diagnostic testing, which can increase the risk developing iatrogenic anemia. Several interventions exist to curtail avoidable blood loss, for example computerized decision support, smaller phlebotomy tubes, and other blood conservation devices. Nevertheless, use of these interventions is not standardized. Therefore, the objective of our study was to quantify the daily phlebotomy volume taken from patients who had undergone major cardiac or vascular surgery.

METHODS

We estimated the number of blood analyses and volumes of drawn blood of 400 consecutive patients (≥ 18 yr) undergoing major cardiac or vascular surgery. The amount of blood saved using small-volume tubes and in combination with blood conservation device rather than standard-volume tubes was estimated for serum chemistry (serum), ethylenediaminetetraacetic acid (EDTA) tubes, sodium citrate coagulation (SCC) tubes, and arterial blood gas (ABG) analysis.

RESULTS

The mean total blood loss due to phlebotomy drawing using standard-volume tubes during hospitalization was 167.9 mL (95% confidence interval [CI], 158.0 to 177.8), 255.6 mL (95% CI, 226.5 to 284.6), and 695.3 mL (95% CI, 544.1 to 846.4) for patients undergoing cardiac surgery with a hospital length of stay (LOS) of 0-10, 11-20, and ≥ 21 days, respectively. The mean total blood loss due to phlebotomy during hospitalization was 80.5 mL (95% CI, 70.5 to 90.6), 225.0 mL (95% CI, 135.1 to 314.8 mL) and 470.3 mL (95% CI, 333.5 to 607.1) for vascular surgery patients with LOS 0-10, 11-20, and ≥ 21 days, respectively. Patients with at least a two-day stay at the ICU had a mean blood loss of 146.6 mL (95% CI, 134.6 to 158.6 mL) and those with ≥ 11 days incurred a loss of 1,428 mL (95% CI, 1,117.8 to 1,739.2). The use of closed blood collection device and small-volume tubes (serum, EDTA, SCC, and ABG) reduced blood loss by 82.8 mL for patients with an ICU stay of 2 days and up to 824.0 mL for patients with a ICU stay of ≥ 11 days.

CONCLUSION

Diagnostic laboratory tests are associated with significant patient blood loss, but are a modifiable risk factor. The use of small-volume tubes and closed blood collection devices decreases the volume of patient blood drawn for analysis and prevents blood waste.

Do Laboratory Blood Tests Change Medical Care in Patients Hospitalized with Community-Acquired Pneumonia?

Background and Objectives: The prevalence of inappropriate laboratory testing is believed to be high, but only a limited number of studies have reviewed medical charts to determine whether tests impact medical care. Materials and Methods: From the electronic database, we selected 500 consecutive patients with community-acquired pneumonia who were hospitalized between January 2020 and October 2021. We excluded eight patients who had COVID-19, but were not identified in the database, and were only identified after chart review. To assess the impact of tests on medical care, we conducted a thorough review of the patients' charts. Results: The age of the patients was 78 ± 16 years, with 42.3% female (n = 208) hospitalized for a median of 4 days (25-75%, 3-6 days). There were 27957 laboratory test results during 2690 hospital days (10.4 tests per day of hospitalization). Of the 2997 tests carried out on admission 5.7% (n = 170) resulted in changes of medical care in 34.5% (170/492) of the patients, nearly all from the results of electrolytes, renal function tests, and serum glucose measurements. Tests that did not lead to any decision on medical care included 75.8% (7181/9478) on admission and 86.0% (15,898/18,479) on repetitive testing, i.e., repetitive testing accounted for 68.9% (15,898/23,079) of tests that did not change medical care. By excluding tests that did not change medical care, the overall testing rate would decrease by 82.6% (23,079/27,947), and from 10.4 tests per day to 2.1 tests per day. Conclusions: We conclude that the estimate of the overuse of laboratory testing, which includes all testing that does not change patient care, is much higher than reported using other methodologies. Most of the overuse was from repetitive testing that included unnecessary testing in patients without admission test results that changed medical care. Further investigation is needed to determine if these findings can be applied to patients with diverse health conditions and in different healthcare settings.

Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives

The use of artificial intelligence (AI) has become widespread in many areas of science and medicine, including laboratory medicine. Although it seems obvious that the analytical and post-analytical phases could be the most important fields of application in laboratory medicine, a kaleidoscope of new opportunities has emerged to extend the benefits of AI to many manual labor-intensive activities belonging to the pre-analytical phase, which are inherently characterized by enhanced vulnerability and higher risk of errors. These potential applications involve increasing the appropriateness of test prescription (with computerized physician order entry or demand management tools), improved specimen collection (using active patient recognition, automated specimen labeling, vein recognition and blood collection assistance, along with automated blood drawing), more efficient sample transportation (facilitated by the use of pneumatic transport systems or drones, and monitored with smart blood tubes or data loggers), systematic evaluation of sample quality (by measuring serum indices, fill volume or for detecting sample clotting), as well as error detection and analysis. Therefore, this opinion paper aims to discuss the state-of-the-art and some future possibilities of AI in the preanalytical phase.

Interventions to improve appropriateness of laboratory testing in the intensive care unit: a narrative review

Healthcare expenses are increasing, as is the utilization of laboratory resources. Despite this, between 20% and 40% of requested tests are deemed inappropriate. Improper use of laboratory resources leads to unwanted consequences such as hospital-acquired anemia, infections, increased costs, staff workload and patient stress and discomfort. The most unfavorable consequences result from unnecessary follow-up tests and treatments (overuse) and missed or delayed diagnoses (underuse). In this context, several interventions have been carried out to improve the appropriateness of laboratory testing. To date, there have been few published assessments of interventions specific to the intensive care unit. We reviewed the literature for interventions implemented in the ICU to improve the appropriateness of laboratory testing. We searched literature from 2008 to 2023 in PubMed, Embase, Scopus, and Google Scholar databases between April and June 2023. Five intervention categories were identified: education and guidance (E&G), audit and feedback, gatekeeping, computerized physician order entry (including reshaping of ordering panels), and multifaceted interventions (MFI). We included a sixth category exploring the potential role of artificial intelligence and machine learning (AI/ML)-based assisting tools in such interventions. E&G-based interventions and MFI are the most frequently used approaches. MFI is the most effective type of intervention, and shows the strongest persistence of effect over time. AI/ML-based tools may offer valuable assistance to the improvement of appropriate laboratory testing in the near future. Patient safety outcomes are not impaired by interventions to reduce inappropriate testing. The literature focuses mainly on reducing overuse of laboratory tests, with only one intervention mentioning underuse. We highlight an overall poor quality of methodological design and reporting and argue for standardization of intervention methods. Collaboration between clinicians and laboratory staff is key to improve appropriate laboratory utilization. This article offers practical guidance for optimizing the effectiveness of an intervention protocol designed to limit inappropriate use of laboratory resources.

Direct-to-consumer tests advertised online in Australia and their implications for medical overuse: systematic online review and a typology of clinical utility

OBJECTIVES

The objective of this study is to map the range and variety of direct-to-consumer (DTC) tests advertised online in Australia and analyse their potential clinical utility and implications for medical overuse.

DESIGN

Systematic online search of DTC test products in Google and Google Shopping. DTC test advertisements data were collected and analysed to develop a typology of potential clinical utility of the tests at population level, assessing their potential benefits and harms using available evidence, informed by concepts of medical overuse.

RESULTS

We identified 484 DTC tests (103 unique products), ranging from $A12.99 to $A1947 in cost (mean $A197.83; median $A148.50). Using our typology, we assigned the tests into one of four categories: tests with potential clinical utility (10.7%); tests with limited clinical utility (30.6%); non-evidence-based commercial 'health checks' (41.9%); and tests whose methods and/or target conditions are not recognised by the general medical community (16.7%). Of the products identified, 56% did not state that they offered pretest or post-test consultation, and 51% did not report analytical performance of the test or laboratory accreditation.

CONCLUSIONS

This first-in-Australia study shows most DTC tests sold online have low potential clinical utility, with healthy consumers constituting the main target market. Harms may be caused by overdiagnosis, high rates of false positives and treatment decisions led by non-evidence-based tests, as well as financial costs of unnecessary and inappropriate testing. Regulatory mechanisms should demand a higher standard of evidence of clinical utility and efficacy for DTC tests. Better transparency and reporting of health outcomes, and the development of decision-support resources for consumers are needed.

Antibiotic prescription patterns in patients with suspected urinary tract infections in Ecuador

BACKGROUND

Urinary tract infections (UTI) are among the most common cause to prescribe antibiotics in primary care. Diagnosis is based on the presence of clinical symptoms in combination with the results of laboratory tests. Antibiotic therapy is the primary approach to the treatment of UTIs; however, some studies indicate that therapeutics in UTIs may be suboptimal, potentially leading to therapeutic failure and increased bacterial resistance.

METHODS

This study aimed to analyze the antibiotic prescription patterns in adult patients with suspected UTIs and to evaluate the appropriateness of the antibiotic prescription. This is a cross-sectional study of patients treated in outpatient centers and in a second-level hospital of the Ministry of Public Health (MOPH) in a city in Ecuador during 2019. The International Classification of Disease Tenth Revision (ICD-10) was used for the selection of the acute UTI cases. The patients included in this study were those treated by family, emergency, and internal medicine physicians.

RESULTS

We included a total of 507 patients in the analysis and 502 were prescribed antibiotics at first contact, constituting an immediate antibiotic prescription rate of 99.01%. Appropriate criteria for antibiotic prescription were met in 284 patients, representing an appropriate prescription rate of 56.02%. Less than 10% of patients with UTI had a urine culture. The most frequently prescribed antibiotics were alternative antibiotics (also known as second-line antibiotics), such as ciprofloxacin (50.39%) and cephalexin (23.55%). Factors associated with inappropriate antibiotic prescribing for UTIs were physician age over forty years, OR: 2.87 (95% CI, 1.65-5.12) p<0.0001, medical care by a general practitioner, OR: 1.89 (95% CI, 1.20-2.99) p = 0.006, not using point-of-care testing, OR: 1.96 (95% CI, 1.23-3.15) p = 0.005, and care at the first level of health, OR: 15.72 (95% CI, 8.57-30.88) p<0.0001.

CONCLUSIONS

The results of our study indicate an appropriate prescription rate of 56.02%. Recommended antibiotics such as nitrofurantoin and fosfomycin for UTIs are underutilized. The odds for inappropriate antibiotic prescription were 15.72 times higher at the first level of care compared to the second. Effective strategies are needed to improve the diagnosis and treatment of UTIs.

Rationalisation of laboratory tests ordering and consumption at Armed Forces Hospital, Jazan

Laboratory testing is one of the major and important component of medical diagnosis. However, unrationalised laboratory test ordering may lead to misdiagnosis of diseases which would delay treatment of the patients. It would also lead to wasting the laboratory resources that adversely impact the hospital budget. The aim of this project was to rationalise laboratory tests ordering and ensure effective utilisation of resources at Armed Forces Hospital Jizan (AFHJ). This study included two major steps: (1) the development and implementation of quality improvement interventions to reduce the unnecessary and abuse of laboratory testing in the AFHJ and (2) evaluation of the effectiveness of these interventions. In order to determine the possible causes of the problem, fishbone diagram was used to structure a brainstorming session. Pareto analysis was used to prioritise the causes so that the emphasis can be laid on most significant one. After interventions implementation, the data analysed and found that there was significant differences between 2019 and 2021 of total patients percentage and distribution that was revealed by box plot, who had a request of Hemoglobin A1c (HbA1c) (p=0.002), Thyroid Stimulating Hormone (TSH) (p=0.002), Free Thyroine (FT4) (p=0.002), Free Triiodothyronine (FT3) (p=0.001), Follicle-Stimulating Hormone (FSH) (p=0.002), Luteinizing Hormone (LH) (p=0.002) and Prolactin (PRL) (p=0.001). We achieved a 33% reduction in total laboratory tests cost and the total laboratory budget decreased from 6 000 000 SR in 2019 to about 4 000 000 Saudi Riyals (SR) in 2021. A change in laboratory resource consumption requires changes in physicians awareness. A modification of the electronic ordering system applied more restrictions to the ordering physicians. Extending these measures to the entire hospital might lead to significant reduction in the healthcare costs.

Disruption vs. evolution in laboratory medicine. Current challenges and possible strategies, making laboratories and the laboratory specialist profession fit for the future

Since beginning of medical diagnostics, laboratory specialists have done an amazing job, continuously improving quality, spectrum and speed of laboratory tests, currently contributing to the majority of medical decision making. These improvements are mostly of an incremental evolutionary fashion, meaning improvements of current processes. Sometimes these evolutionary innovations are of a radical fashion, such as the invention of automated analyzers replacing manual testing or the implementation of mass spectrometry, leading to one big performance leap instead of several small ones. In few cases innovations may be of disruptive nature. In laboratory medicine this would be applicable to digitalization of medicine or the decoding of the human genetic material. Currently, laboratory medicine is again facing disruptive innovations or technologies, which need to be adapted to as soon as possible. One of the major disruptive technologies is the increasing availability and medical use of artificial intelligence. It is necessary to rethink the position of the laboratory specialist within healthcare settings and the added value he or she can provide to patient care. The future of the laboratory specialist profession is bright, as it the only medical profession comprising such vast experience in patient diagnostics. However, laboratory specialists need to develop strategies to provide this expertise, by adopting to the quickly evolving technologies and demands. This opinion paper summarizes some of the disruptive technologies as well as strategies to secure and/or improve the quality of diagnostic patient care and the laboratory specialist profession.

Overordering of tumor marker for outpatients revealed by performance indicators and the impact of a health policy intervention: An observational study using administrative records

PURPOSE

The overuse of laboratory tests contributes to impair health systems effectiveness, tumor markers (TMs) being a paradigmatic example. In the present study we applied indicators of TMs appropriateness developed from administrative datasets to appraise regionwide overordering in the clinical practice.

PATIENTS AND METHODS

TMs ordered to outpatients in the Veneto Region over 6 years were obtained from the eletronic Outpatients' Records of Diagnostic and Therapeutic Procedures. TMs orders were examined as aggregated data or stratified according to disease codes, gender, age, and requests per patient. TMs recommended only for specific malignancies were examined using epidemiological data obtained from Veneto Tumor Registry.

RESULTS

A total of 5,821,251 TMs were ordered in 4,382,159 patients over 6 years. Overall, 3,252,389 (55.9%) TMs were ordered without appropriate disease codes (ranging from 77.0% for PSA to 17.5% for CA15.3). TM orders declined over 6 years (-13.4%), with a noticeable reduction of orders without appropriate disease codes (-21.3%). Orders decreased sharply from 2015 to 2016, after the enactment of a national Decree-Law aimed at improving appropriateness, and remained stable thereafter. However, the rate of inappropriate TMs requests still remained elevated (44.4%) in the last year of observation, with orders of TMs being much higher than expected on the basis of prevalence and incidence figures of specific malignancies.

CONCLUSIONS

Indicators developed from administrative datasets were effective in assessing the overordering of TMs and the impact of interventions to improve appropriateness. The developed indicators could be considered for other diagnostic tests.

Extracellular Vesicle-microRNAs as Diagnostic Biomarkers in Preterm Neonates

Neonates born prematurely (<37 weeks of gestation) are at a significantly increased risk of developing inflammatory conditions associated with high mortality rates, including necrotizing enterocolitis, bronchopulmonary dysplasia, and hypoxic-ischemic brain damage. Recently, research has focused on characterizing the content of extracellular vesicles (EVs), particularly microRNAs (miRNAs), for diagnostic use. Here, we describe the most recent work on EVs-miRNAs biomarkers discovery for conditions that commonly affect premature neonates.

Causes of Inappropriate Laboratory Test Ordering from the Perspective of Medical Laboratory Technical Professionals: Implications for Research and Education

OBJECTIVE

Inappropriate laboratory test ordering is a significant and persistent problem. Many causes have been identified and studied. Medical laboratory professionals (MLPs) are technical staff within clinical laboratories who are uniquely positioned to comment on why inappropriate ordering occurs. We aimed to characterize existing MLP perceptions in this domain to reveal new or underemphasized interventional targets.

METHODS

We developed and disseminated a self-administered survey to MLPs in Canada, including open-ended responses to questions about the causes of inappropriate laboratory test ordering.

RESULTS

Four primary themes were identified from qualitative analysis: ordering-provider factors, communication factors, existing test-ordering processes, and patient factors. Although these factors can largely be found in previous literature, some are under-studied.

CONCLUSION

MLP insights into nonphysician triage ordering and poor result communication provide targets for further investigation. A heavy focus on individual clinician factors suggests that current understandings and interprofessional skills in the MLP population can be improved.

Diagnostic Workup of Microcytic Anemia: An Evaluation of Underuse or Misuse of Laboratory Testing in a Hospital Setting Using the AlinIQ System

CONTEXT.—

Underuse of laboratory testing has been previously investigated in preselected populations, such as documented malpractice claims. However, these numbers might not reflect real-life situations.

OBJECTIVE.—

To evaluate the underuse and misuse of laboratory follow-up testing in a real-life hospital patient population with microcytic anemia, using laboratory results ordered during routine patient care.

DESIGN.—

From all patients in whom a microcytic anemia was detected during routine diagnostics in 2018, all available laboratory data were collected and screened for appropriateness of diagnostic workup of iron deficiency and thalassemia. Subgroup analysis was performed for patient groups with mean corpuscular volume values 75 to 79 μm3 (group 1), 65 to 74 μm3 (group 2), and <65 μm3 (group 3).

RESULTS.—

A total of 2244 patients with microcytic anemia were identified. Follow-up testing for iron deficiency was not performed in 761 cases (34%). For inconclusive ferritin levels due to elevated C-reactive protein results (n = 336), reticulocyte hemoglobin content or soluble transferrin receptor levels were missing in 86 cases (26%). In patients with suspected thalassemia (n = 127), follow-up testing for hemoglobin variants was not performed in 70 cases (55%). Subgroup analysis showed that the frequency of underuse of iron status as well as thalassemia/hemoglobinopathy testing decreased from group 1 to group 3. When considering relevant preexisting anemia diagnoses, laboratory tests were underused in 904 cases (40.3%).

CONCLUSIONS.—

Because 40% (n = 904) of the patients with microcytic anemia were potentially not followed up correctly, laboratory specialists are advised to act by implementing demand management strategies in collaboration with clinicians to overcome underuse of laboratory tests and to improve patient safety.

Temporal Change in the Use of Laboratory and Imaging Tests in One Week Before Death, 2006–2015

BACKGROUND

To analyze the trends in laboratory and imaging test use 1 week before death among decedents who died in Korean hospitals, tests used per decedents from 2006 to 2015 were examined by using the National Health Insurance Service-Elderly Sample Cohort (NHIS-ESC) dataset.

METHODS

The study population consisted of decedents aged ≥ 60 years old with a history of admission and death at a hospital, and tests recorded in the payment claims for laboratory and imaging tests according to the Healthcare Common Procedure Coding System codes were examined. Twenty-eight laboratory and 6 imaging tests were selected. For each year, crude rates of test use per decedents in each age and sex stratum were calculated. Regression analysis was used to examine the temporal changes in the test use.

RESULTS

During the follow-up period, 6,638 subjects included in the sample cohort died. The number of total laboratory and imaging tests performed on the deceased increased steadily throughout the study year from 10.3 tests/deceased in 2006 to 16.6 tests/deceased in 2015. The use of tests increased significantly in general hospitals, however, not in nursing hospitals. Laboratory tests showed yearly increase, from 9.46/deceased in 2006 to 15.57/deceased in 2015, an annual increase of 7.39%. On the other hand, the use of imaging increased from 0.86/deceased in 2006 to 1.01/deceased in 2015, which was not statistically significant.

CONCLUSION

The use of tests, especially laboratory tests, increased steadily over the years even among those elderly patients at imminent death. Reducing acute healthcare at the end of life would be one target not only to support the sustainability of the health care budget but also to improve the quality of dying and death.

Deep sleep and beeps II: Sleep quality improvement project in general surgery patients

BACKGROUND

Poor sleep leads to poor health outcomes. Phase I of our sleep quality improvement project showed severe sleep disturbance in the ward setting. We implemented a novel PostOp Pack to improve sleep quality.

METHODS

Patients underwent elective, general surgery procedures. Fitbit trackers measured total sleep time. Patients completed the inpatient Richards-Campbell Sleep Questionnaire, which combines 5 domains into a cumulative score (0-100). Patients completed the outpatient Pittsburgh Sleep Quality Index preoperatively and postoperatively. Patients received the PostOp Pack, which included physical items and a sleep-protective order set to reduce nighttime awakenings. Patients from phase I served as the historical control. The primary outcome was the percentage of patients with Richards-Campbell Sleep Questionnaire total sleep score ≥50. The secondary outcomes included the mean Richards-Campbell Sleep Questionnaire domain scores and Fitbit total sleep time.

RESULTS

A total of 49 patients were compared with 64 historical controls. The percentage of patients with a total sleep score ≥50 was significantly higher in patients receiving a PostOp Pack versus historical control (69% vs. 44%, difference 26%, 95% confidence interval 6.1-45%, P = .01). The mean Richards-Campbell Sleep Questionnaire Total Sleep Score was significantly higher in patients with a PostOp Pack (62 vs 49, mean difference 13, 95% confidence interval 6-21, P ≤ .01). The PostOp Pack Richards-Campbell Sleep Questionnaire domain scores were significantly higher in various areas: Sleep Latency (68 vs 49, P ≤ .01), Awakenings (56 vs 40, P = .01), Sleep Quality (61 vs 49, P = .02), and Noise Disturbance (70 vs 59, P = .04). Of all patients, 92% would use PostOp Pack again in a future hospitalization. No patients had a failure to rescue event with PostOp Pack. The mean total sleep time was significantly improved with PostOp Pack on night 1 (6.4 vs 4.7 hours, P = .03).

CONCLUSION

The PostOp Pack improves inpatient sleep quality and is safe.

The preanalytical phase – from an instrument-centred to a patient-centred laboratory medicine

In order to guarantee patient safety, medical laboratories around the world strive to provide highest quality in the shortest amount of time. A major leap in quality improvement was achieved by aiming to avoid preanalytical errors within the total testing process. Although these errors were first described in the 1970s, it took additional years/decades for large-scale efforts, aiming to improve preanalytical quality by standardisation and/or harmonisation. Initially these initiatives were mostly on the local or national level. Aiming to fill this void, in 2011 the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) working group “Preanalytical Phase” (WG-PRE) was founded. In the 11 years of its existence this group was able to provide several recommendations on various preanalytical topics. One major achievement of the WG-PRE was the development of an European consensus guideline on venous blood collection. In recent years the definition of the preanalytical phase has been extended, including laboratory test selection, thereby opening a huge field for improvement, by implementing strategies to overcome misuse of laboratory testing, ideally with the support of artificial intelligence models. In this narrative review, we discuss important aspects and milestones in the endeavour of preanalytical process improvement, which would not have been possible without the support of the Clinical Chemistry and Laboratory Medicine (CCLM) journal, which was one of the first scientific journals recognising the importance of the preanalytical phase and its impact on laboratory testing quality and ultimately patient safety.

Pursuing appropriateness of laboratory tests: a 15-year experience in an academic medical institution

Appropriateness in Laboratory Medicine has been the object of various types of interventions. From published experiences, it is now clear that to effectively manage the laboratory test demand it is recommended to activate evidence-based preventative strategies stopping inappropriate requests before they can reach the laboratory. To guarantee appropriate laboratory test utilization, healthcare institutions should implement and optimize a computerized provider order entry (CPOE), exploiting the potential of electronic requesting as "enabling factor" for reinforcing appropriateness and sustaining its effects over time. In our academic institution, over the last 15 years, our medical laboratory has enforced various interventions to improve test appropriateness, all directly or indirectly based on CPOE use. The following types of intervention were implemented: (1) applying specific recommendations supported by monitoring by CPOE as well as a continuous consultation with clinicians (tumour markers); (2) removing outdated tests and avoiding redundant duplications (cardiac markers, pancreatic enzymes); (3) order restraints to selected wards and gating policy (procalcitonin, B-type natriuretic peptide, homocysteine); (4) reflex testing (bilirubin fractions, free prostate-specific antigen, aminotransferases, magnesium in hypocalcemia); and (5) minimum retesting interval (D-Dimer, vitamin B₁₂, C-reactive protein, γ-glutamyltranspeptidase). In this paper, we reviewed these interventions and summarized their outcomes primarily related to the changes in total test volumes and cost savings, without neglecting patient safety. Our experience confirmed that laboratory professionals have an irreplaceable role as "stewards" in designing, implementing, evaluating, and maintaining interventions focused to improving test appropriateness.

A novel framework to guide antibiotic stewardship nursing practice

BACKGROUND

There is a pervasive view among some nurses and health care disciplines that antibiotic stewardship (AS) is solely a physician or pharmacist responsibility. There is an urgent need to alter this view so that nurses can seize every opportunity to prevent patient harm from antibiotics and optimize antibiotic use. One challenge to achieving full nurse engagement as equal members of the AS team is lack of an organizing framework to illustrate relationships of phenomena and concepts inherent to adoption of AS nursing practices.

METHODS

We sought to create a framework derived from the peer-reviewed literature, systematic and scoping reviews, and professional standards, consensus statements and white papers. The emerging framework went through multiple iterations as it was vetted with nurse clinicians, scholars and educators, physicians, pharmacists, infection preventionists and AS subject matter experts.

RESULTS

Our evidence-based Antibiotic Stewardship Nursing Practice SCAN-P Framework provides the much-needed context and clarity to help guide local-level nurses to participate in and lead AS nursing practice.

CONCLUSIONS

Nurses worldwide are ideally situated to provide holistic person-centered care, advocate for judicious use of antibiotics to minimize antibiotic resistance, and be AS educators of their patients, communities and the general public. The Antibiotic Stewardship Nursing Practice SCAN-P Framework provides a tool to do so.

A randomized controlled study of biochemical tests in primary care: interventions can reduce the number of tests but usage does not become more appropriate

OBJECTIVES

The use of laboratory tests increases worldwide, and to some extent their use is likely to be inappropriate. Although primary care is responsible for a substantial proportion of requests, this sector is less extensively investigated than hospitals.

METHODS

We tested the effect of six combinations of four interventions applied to 313 primary care clinics, using vitamin D as model test (253,762 vitamin D results). We evaluated the changes in test numbers in the six intervention groups compared to the control group, and whether interventions resulted in more homogenous test use within groups or affected the distribution of test results. All interventions included information on vitamin D testing guidelines. Four groups were exposed to a non-interruptive alert in the ordering IT-system and in two groups this was supplemented by an interruptive alert. Half of the groups received monthly feedback reports.

RESULTS

Application of alerts, irrespective of the combination with feedback reports, resulted in significantly reduced test numbers (maximum -46%). Guidelines either alone or combined with feedback reports did not cause significant difference from the control group. The within-group requesting pattern changed significantly for only two of the groups. The distribution of low and normal vitamin D results within groups showed no signs of more appropriate use of the test in any of the groups.

CONCLUSIONS

Some of the interventions reduced the number of tests, but there were no indications of improved adherence to the guidelines. The interventions may have led to under-utilization of the test and thus should be used with care.

Engaging Laboratory Staff in Stewardship: Barriers Experienced by Medical Laboratory Technologists in Canada

BACKGROUND

Laboratory stewardship programs aim to improve the use of laboratory resources, including reducing inappropriate testing. These programs should engage all healthcare stakeholder groups, including all levels of laboratory staff. Medical laboratory technologists (MLTs) are highly skilled professionals and are well positioned to play a supportive role in stewardship but may be overlooked. The aim of this study is to identify the barriers to MLT participation in stewardship activities.

METHODS

We developed and disseminated a self-administered survey to MLTs in Canada to assess their knowledge and attitudes toward inappropriate laboratory utilizatioz and explore perceived barriers to taking on an active role in stewardship initiatives. Themes were identified in open-ended responses and mapped to the Theoretical Domains Framework (TDF).

RESULTS

MLTs feel accountable for helping ensure appropriate resource use and recognize that it is an important issue to address. However, they experience significant barriers and have low intention to act. The self-reported barrier most frequently described was lack of time arising from excessive workloads, but other constraints exist. Themes mapped to the TDF most strongly in the domain of environmental context and resources, supporting evidence that workplace structure and culture play key roles in impacting this group.

CONCLUSIONS

To meaningfully engage MLTs in stewardship activities, these barriers should be addressed. Highlighting MLT expertise and creating communication structures and opportunities for their unique contributions may be fruitful.

Bringing the clinical laboratory into the strategy to advance diagnostic excellence

OBJECTIVES

Clinical laboratory testing provides essential data for making medical diagnoses. Generating accurate and timely test results clearly communicated to the treating clinician, and ultimately the patient, is a critical component that supports diagnostic excellence. On the other hand, failure to achieve this can lead to diagnostic errors that manifest in missed, delayed and wrong diagnoses.

CONTENT

Innovations that support diagnostic excellence address: 1) test utilization, 2) leveraging clinical and laboratory data, 3) promoting the use of credible information resources, 4) enhancing communication among laboratory professionals, health care providers and the patient, and 5) advancing the use of diagnostic management teams. Integrating evidence-based laboratory and patient-care quality management approaches may provide a strategy to support diagnostic excellence. Professional societies, government agencies, and healthcare systems are actively engaged in efforts to advance diagnostic excellence. Leveraging clinical laboratory capabilities within a healthcare system can measurably improve the diagnostic process and reduce diagnostic errors.

SUMMARY

An expanded quality management approach that builds on existing processes and measures can promote diagnostic excellence and provide a pathway to transition innovative concepts to practice.

OUTLOOK

There are increasing opportunities for clinical laboratory professionals and organizations to be part of a strategy to improve diagnoses.

Laboratory Demand Management Strategies-An Overview

Inappropriate laboratory test selection in the form of overutilization as well as underutilization frequently occurs despite available guidelines. There is broad approval among laboratory specialists as well as clinicians that demand management strategies are useful tools to avoid this issue. Most of these tools are based on automated algorithms or other types of machine learning. This review summarizes the available demand management strategies that may be adopted to local settings. We believe that artificial intelligence may help to further improve these available tools.

The impact of interventions applied in primary care to optimize the use of laboratory tests: a systematic review

Laboratory tests are important tools in primary care, but their use is sometimes inappropriate. The aim of this review is to give an overview of interventions applied in primary care to optimize the use of laboratory tests. A search for studies was made in the MEDLINE and EMBASE databases. We also extracted studies from two previous reviews published in 2015. Studies were included if they described application of an intervention aiming to optimize the use of laboratory tests. We also evaluated the overall risk of bias of the studies. We included 24 studies. The interventions were categorized as: education, feedback reports and computerized physician order entry (CPOE) strategies. Most of the studies were classified as medium or high risk of bias while only three studies were evaluated as low risk of bias. The majority of the studies aimed at reducing the number of tests, while four studies investigated interventions aiming to increase the use of specific tests. Despite the studies being heterogeneous, we made results comparable by transforming the results into weighted relative changes in number of tests when necessary. Education changed the number of tests consistently, and these results were supported by the low risk of bias of the papers. Feedback reports have mainly been applied in combination with education, while when used alone the effect was minimal. The use of CPOE strategies seem to produce a marked change in the number of test requests, however the studies were of medium or high risk of bias.

Errors within the total laboratory testing process, from test selection to medical decision-making - A review of causes, consequences, surveillance and solutions

Laboratory analyses are crucial for diagnosis, follow-up and treatment decisions. Since mistakes in every step of the total testing process may potentially affect patient safety, a broad knowledge and systematic assessment of laboratory errors is essential for future improvement. In this review, we aim to discuss the types and frequencies of potential errors in the total testing process, quality management options, as well as tentative solutions for improvement. Unlike most currently available reviews on this topic, we also include errors in test-selection, reporting and interpretation/action of test results. We believe that laboratory specialists will need to refocus on many process steps belonging to the extra-analytical phases, intensifying collaborations with clinicians and supporting test selection and interpretation. This would hopefully lead to substantial improvements in these activities, but may also bring more value to the role of laboratory specialists within the health care setting.

Patient harm associated with serial phlebotomy and blood waste in the intensive care unit: A retrospective cohort study

Background

Intensive care unit (ICU) patients are at high risk of anemia, and phlebotomy is a potentially modifiable source of blood loss. Our objective was to quantify daily phlebotomy volume for ICU patients, including blood discarded as waste during vascular access, and evaluate the impact of phlebotomy volume on patient outcomes.

Methods

This was a retrospective observational cohort study between September 2014 and August 2015 at a tertiary care academic medical-surgical ICU. A prospective audit of phlebotomy practices in March 2018 was used to estimate blood waste during vascular access. Multivariable logistic regression was used to evaluate phlebotomy volume as a predictor of ICU nadir hemoglobin < 80 g/L, and red blood cell transfusion.

Results

There were 428 index ICU admissions, median age 64.4 yr, 41% female. Forty-four patients (10%) with major bleeding events were excluded. Mean bedside waste per blood draw (144 draws) was: 3.9 mL from arterial lines, 5.5 mL central venous lines, and 6.3 mL from peripherally inserted central catheters. Mean phlebotomy volume per patient day was 48.1 ± 22.2 mL; 33.1 ± 15.0 mL received by the lab and 15.0 ± 8.1 mL discarded as bedside waste. Multivariable regression, including age, sex, admission hemoglobin, sequential organ failure assessment score, and ICU length of stay, showed total daily phlebotomy volume was predictive of hemoglobin <80 g/L (p = 0.002), red blood cell transfusion (p<0.001), and inpatient mortality (p = 0.002). For every 5 mL increase in average daily phlebotomy the odds ratio for nadir hemoglobin <80 g/L was 1.18 (95% CI 1.07–1.31) and for red blood cell transfusion was 1.17 (95% CI 1.07–1.28).

Conclusion

A substantial portion of daily ICU phlebotomy is waste discarded during vascular access. Average ICU phlebotomy volume is independently associated with ICU acquired anemia and red blood cell transfusion which supports the need for phlebotomy stewardship programs.

Iron studies and transferrin, a source of test ordering confusion highly amenable to clinical decision support

INTRODUCTION

An important cause of laboratory test misordering and overutilization is clinician confusion between tests with similar sounding names or similar indications. We identified an area of test ordering confusion with iron studies that involves total iron binding capacity (TIBC), transferrin, and transferrin saturation. We observed concurrent ordering of direct transferrin along with TIBC at many hospitals within our health system and suspected this was unnecessary.

METHODS

We extracted patient test results for transferrin, TIBC and other biomarkers. Using these data, we evaluated both patterns of test utilization and test result concordance. We implemented a clinical decision support (CDS) alert to discourage unnecessary orders for direct transferrin.

RESULTS

Using linear regression, we were able to predict transferrin from either TIBC alone or TIBC with other analytes with a high degree of accuracy, demonstrating that in most cases, direct transferrin in combination with TIBC provides little if any additional diagnostic information beyond TIBC alone. The CDS alert proved highly effective in reducing transferrin test utilization at four different hospitals.

CONCLUSIONS

Concurrent ordering of direct transferrin and TIBC should usually be avoided. Removal of transferrin or TIBC from the test menu or implementation of CDS may improve utilization of these tests.

The clinically effective use of cardiac markers by restructuring laboratory profiles at Cardiology wards

Background

Laboratory overutilization is associated with diagnostic error and potential patient risk. We applied a demand management strategy in collaboration with the local Department of Cardiology to reduce the cardiac markers high-sensitive troponin T (hsTropT) and N-terminal pro brain natriuretic peptide (NTproBNP) in laboratory ordering profiles (LOPs). The present study aimed to retrospectively evaluate the implemented strategies.

Methods

Strategies included educational measures and evidence-guided, active test de-selection from all cardiology ward LOPs, and/or permanent removal from LOPs. Tests remained available at all times. We evaluated overutilization by reductions in monthly orders, and assessed differences in 30-day all-cause readmission rate and length of patients' hospital stay.

Results

Overall, we observed a mean reduction of 66.1% ± 7.6% (n = 277 ± 31) in hsTropT tests. Educational measures effectively reduced NTproBNP orders by 52.8% ± 17.7% (n = 60 ± 20). Permanent removal of tests from LOPs additionally decreased orders to a final extent of 75.8% ± 8.0% (n = 322 ± 31) in NTproBNP tests. The 30-day readmission rate and overall length of hospital stay did not increase.

Conclusions

Our results indicate that cardiac markers in routine care are subject to extensive overutilization when used within LOPs. Educational measures are an effective strategy to overcome the overutilization of cardiac markers but may be more effective when combined with the removal of cardiac markers from LOPs.

Inappropriate use of laboratory tests: How availability triggers demand - Examples across Europe

INTRODUCTION

The appropriate use of laboratory diagnostics is increasingly at stake. The aim of this study was to depict some paradigmatic examples of under- and overutilization, as well as possible solutions across Europe.

METHODS

We collected six examples from five European countries where a rise or decline of orders for specific laboratory parameters was observed after organizational changes but without evidence of changes in patient collective characteristics as source of this variation.

RESULTS

The collected examples were the following: 1-Germany) Switch from a Brain-Natriuretic-Peptide assay to NT-pro Brain-Natriuretic-Peptide assay, resulting in a 374% increase in these analytics; 2-Spain) Implementation of a gatekeeping strategy in tumor marker diagnostics, resulting in a 15-61% reduction of these diagnostics; 3-Croatia) Stepwise elimination of creatine-kinase-MB assay from the laboratory portfolio; 4-UK) Removal of γ-glutamyl transferase from a "liver function" profile, resulting in 82% reduction of orders; 5-Austria) Implementation of a new device for rapid Influenza-RNA detection, resulting in a 450% increase of Influenza testing; 6-Spain) Insourcing of 1,25-(OH)₂-Vitamin D measurements, leading to a 378% increase of these analyses.

CONCLUSION

The six paradigmatic examples described in this manuscript show that availability of laboratory resources may considerably catalyze the demand, thus underscoring that inappropriate use of laboratory resources may be commonplace in routine laboratories all across Europe and most probably beyond. They also demonstrate that the application of simple strategies may assist in overcoming this issue. We believe that laboratory specialists need to refocus on the extra-analytical parts of the testing process and engage more in interdisciplinary patient-care.

Clinicians' and laboratory medicine specialists' views on laboratory demand management: a survey in nine European countries

BACKGROUND

Laboratory tests are an essential aspect of current medical practice and their use has grown exponentially. Several studies however have demonstrated inappropriate use of laboratory testing. This inappropriateness can lead to delayed or wrong diagnosis, negatively impacting patient safety and an increase in health care expenditure. The aim of the present small-scale survey was to obtain information on the current status of demand management in European laboratories, as well as the opinions of laboratory and clinical professionals in this regard.

METHODS

Two surveys were developed, one for laboratory specialists and one for clinicians, covering information on current use, knowledge and opinions on the possible impact of different demand management strategies on patient outcome and health care costs. Additionally, we asked for the current state and willingness on collaboration of laboratory specialists and clinicians.

RESULTS

One hundred and fifty responses, 72 laboratory specialists and 78 clinicians, from nine countries were received. Developing local ordering protocols/profiles in collaboration with clinicians was the most used strategy (80.3% of laboratories). Of clinicians, 85.6% considered measures to ensure appropriate use of tests necessary and 100% were interested in advice/information about their indication. Of the laboratory specialists 97.2% were either already participating or willing to participate in multidisciplinary groups on the appropriateness of test demand as were 60.3% of clinicians, and 85.9% of clinicians were interested in attending activities about laboratory test demand management.

CONCLUSIONS

The results of our survey show that tools to improve the appropriate use of laboratory tests are already regularly used today. Laboratory medicine specialists as well as clinicians are willing to undertake additional shared activities aimed at improving patient-centered laboratory diagnostic workup.

PREDICT: a checklist for preventing preanalytical diagnostic errors in clinical trials

Although the importance of guaranteeing a high level of preanalytical quality in routine diagnostic testing has already been largely acknowledged over the past decades, minor emphasis is currently being placed on the fact that accurate performance and standardization of many preanalytical activities are also necessary prerogatives of clinical trials. Reliable evidence exists that clear indications on how to manage the different preanalytical steps are currently lacking in many clinical trials protocols, nor have detailed authoritative documents been published or endorsed on this matter to the best of our knowledge. To fill this gap, the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for Preanalytical Phase (WG-PRE) will provide here a specific checklist for preventing preanalytical diagnostic errors in clinical trials (PREDICT), especially focused on covering the most important preanalytical aspects of blood sample management in clinical studies, and thus encompassing test selection, patient preparation, sample collection, management and storage, sample transportation, as well as specimen retrieval before testing. The WG-PRE members sincerely hope that these recommendations will provide a useful contribution for increasing the success rate in clinical trials.

Effectiveness of minimum retesting intervals in managing repetitive laboratory testing: experience from a Croatian university hospital

Introduction

Inappropriate laboratory retesting can be addressed by implementing minimum retesting intervals (MRI). The aim of our study was to assess the effectiveness of the implemented MRI protocol for inpatients.

Materials and methods

Minimum retesting intervals were applied for 53 laboratory tests. The overall reduction of test requests, reduction in charges and reagent cost savings, frequency of MRI alert appearance as well as the rate of MRI acceptance and ignorance were calculated for a one-year period. Reasons for violating the MRI rule, hospital departments that contributed mostly to MRI rule violation, and the frequency of MRI violations between routine and emergency laboratory were evaluated.

Results

During the one-year period, 106,780 requests violated the MRI rule, which corresponds to 14.8% of all requests received. 13,843 requests were cancelled, yielding a 1.9% reduction of requested tests. High-volume tests, namely complete blood count, C-reactive protein, alanine aminotransferase, gamma-glutamyltransferase and total bilirubin, accounted for 65% of all generated alerts and had the highest alert ignorance (>85%). The highest cancellation rate was observed for tumor markers and autoimmunity tests, for most being at least 50%. Annual charge reduction was 62,641 EUR while reagent cost savings were 11,408 EUR. Tests performed in the emergency laboratory had a higher alert appearance than the same routine tests. The most common reason for MRI violation was clinical justification based on the patient's condition. Most frequently ignored MRI alerts were in the intensive care unit.

Conclusion

MRI implementation showed limited effectiveness in reducing testing repetition and achieving financial savings, yet provided the basis for future improvements.

Self-reported test ordering practices among Canadian internal medicine physicians and trainees: a multicenter cross-sectional survey

Background

Over-testing is a recognized problem, but clinicians usually lack information about their personal test ordering volumes. In the absence of data, clinicians rely on self-perception to inform their test ordering practices. In this study we explore clinician self-perception of diagnostic test ordering intensity.

Methods

We conducted a cross-sectional survey of inpatient General Internal Medicine (GIM) attending physicians and trainees at three Canadian teaching hospitals. We collected information about: self-reported test ordering intensity, perception of colleagues test ordering intensity, and importance of clinical utility, patient comfort, and cost when ordering tests. We compared responses of clinicians who self-identified as high vs low utilizers of diagnostic tests, and attending physicians vs trainees.

Results

Only 15% of inpatient GIM clinicians self-identified as high utilizers of diagnostic tests, while 73% felt that GIM clinicians in aggregate (“others”) order too many tests. Survey respondents identified clinical utility as important when choosing to order tests (selected by 94%), followed by patient comfort (48%) and cost (23%). Self-identified low/average utilizers of diagnostic tests were more likely to report considering cost compared to high utilizers (27% vs 5%, P = 0.04). Attending physicians were more likely to consider patient comfort (70% vs 41%, p = 0.01) and cost (42% vs 17%, p = 0.003) than trainees.

Conclusions

In the absence of data, providers seem to recognize that over investigation is a problem, but few self-identify as being high test utilizers. Moreover, a significant percentage of respondents did not consider cost or patient discomfort when ordering tests. Our findings highlight challenges in reducing over-testing in the current era.

Preanalytical challenges – time for solutions

The European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase (WG-PRE) was originally established in 2013, with the main aims of (i) promoting the importance of quality in the preanalytical phase of the testing process, (ii) establishing best practices and providing guidance for critical activities in the preanalytical phase, (iii) developing and disseminating European surveys for exploring practices concerning preanalytical issues, (iv) organizing meetings, workshops, webinars or specific training courses on preanalytical issues. As education is a core activity of the WG-PRE, a series of European conferences have been organized every second year across Europe. This collective article summarizes the leading concepts expressed during the lectures of the fifth EFLM Preanalytical Conference “Preanalytical Challenges – Time for solutions”, held in Zagreb, 22–23 March, 2019. The topics covered include sample stability, preanalytical challenges in hematology testing, feces analysis, bio-banking, liquid profiling, mass spectrometry, next generation sequencing, laboratory automation, the importance of knowing and measuring the exact sampling time, technology aids in managing inappropriate utilization of laboratory resources, management of hemolyzed samples and preanalytical quality indicators.