Reducing free thyroid hormone testing through multiple Plan-Do-Study-Act cycles

Reducing unnecessary free thyroid hormone testing by the reinforcement of a reflexive algorithm in an outpatient environment

BACKGROUND

Thyroid dysfunction is one of the most common endocrine disorders. Thyroid function tests, including TSH, Free T4, and Free T3, are essential for diagnosis and patient management. Current guidelines recommend TSH as the first-line test, with additional testing for Free T4 and Free T3 only when TSH is abnormal or in specific clinical scenarios. Despite guideline recommendations, inappropriate ordering of free hormone tests is prevalent, leading to increased healthcare costs, diagnostic inefficiencies, and potential patient burden. In this study, we aimed to assess thyroid function testing utilization in the Saskatoon Health Region and identify opportunities to enhance test appropriateness.

METHODS

A retrospective analysis of thyroid function test utilization was conducted in the Saskatoon Health Region to identify gaps in guideline adherence. Inappropriate Free T4 and Free T3 testing was defined as tests ordered with TSH results in the laboratory reference range. Interventions were developed, including reinforcing the reflexive testing algorithm in outpatient settings and restricting free hormone testing to pre-approved specialists. Metrics for evaluation included testing volume trends, physician satisfaction, and cost savings.

RESULTS

Pre-intervention analysis revealed significant increases in thyroid function testing volumes from 2016 to 2019: TSH orders increased by 34.5 %, Free T4 by 36.4 %, and Free T3 by 18.8 %. A substantial proportion of tests involved normal TSH ordered in combination with Free T4 and/or Free T3, which is unnecessary. Compared to baseline volumes, post-intervention Free T4 and Free T3 testing volumes decreased by approximately 60 % and 40 %, respectively.

CONCLUSION

Implementing and reinforcing a reflexive thyroid testing algorithm substantially reduced inappropriate Free T4 and Free T3 testing. Utilization management improved diagnostic efficiency, reduced unnecessary healthcare costs, and minimized patient harm.

Developing Benchmarking Metrics for Appropriate Ordering of Vitamin D, Thyroid Testing, and Iron Workups

BACKGROUND

Laboratory stewardship programs are increasingly adopted to enhance test utilization and improve patient care. Despite their potential, implementation within complex healthcare systems remains challenging. Benchmarking metrics helps institutions compare their performance against peers or best practices. However, the application in laboratory stewardship is underrepresented in the literature.

METHODS

The PLUGS (Patient-centered Laboratory Utiliazation Guidance Services) Informatics Working Group developed guidelines to address common test utilization issues. Metrics were based on data that are easily retrievable and calculable. Three key benchmarks were chosen for a pilot study: the ratio of 25-hydroxyvitamin D to 1,25-dihydroxyvitamin D test orders, the ratio of thyroid-stimulating hormone (TSH) to free thyroxine (FT4) test orders, and the percentage of iron workup orders after an initial low mean corpuscular volume (MCV). Institutions analyzed their own data and we established optimal benchmarks through inter-laboratory comparisons.

RESULTS

Nine laboratories evaluated vitamin D testing, with 2 implementing stewardship interventions beforehand. A benchmark of 50:1 was established, where a higher ratio indicates intentional ordering of 1,25-dihydroxyvitamin D. Nine laboratories evaluated thyroid testing, with 3 implementing interventions. The benchmark of 3.5:1 was established, with a higher ratio suggesting judicious TSH ordering. Seven laboratories evaluated iron workups, proposing a benchmark of 50% as a starting metric. Intervention guidelines were provided for laboratories below the benchmarks to promote improvement.

CONCLUSIONS

Benchmarking metrics provide a standardized framework for assessing and enhancing test utilization practices across multiple laboratories. Continued collaboration and refinement of benchmarking methodologies is essential in maximizing the impact of laboratory stewardship programs on patient safety and resource utilization.

Multidisciplinary approach to redefining thyroid hormone reference intervals with big data analysis

OBJECTIVES

This study aimed to employ big data analysis to harmonize reference intervals (RI) for thyroid function tests, with refinement to the TSH upper reference limit, and to optimize the TSH reflex algorithm to improve clinical management and test utilization.

DESIGN & METHODS

TSH, free T4, and free T3 results tested in Alberta, Canada, on Roche Cobas and Siemens Atellica were extracted from the laboratory information system (N = 1,144,155 for TSH, N = 183,354 for free T4 and N = 92,632 for free T3). Results from specialists, inpatients, or repeat testing, as well as from positive thyroid disease, autoimmune disease, and pregnancy biomarkers were excluded. RIs were derived using statistical models (Bhattacharya, refineR, and simple non-parametric) followed by endocrinology and laboratory review.

RESULTS

The TSH RIs for 0 to 7 days, 8 days to 1 year, and ≥1 year were 1.23 to 25.0 mIU/L, 1.00 to 6.80 mIU/L and 0.20 to 6.50 mIU/L, respectively. The free T4 RIs for 0 to 14 days, 15 to 29 days, and ≥30 days were 13.5 to 50.0 pmol/L, 8.7 to 32.5 pmol/L, and 10.0 to 25.0 pmol/L, respectively. An updated TSH reflex algorithm was developed based on the optimized TSH and free T4 RIs, with free T4 reflexed only at a TSH of <0.1 mIU/L.

CONCLUSIONS

The collaboration of a multidisciplinary team and the utilization of big data analysis led to the enhancement of thyroid function RIs, specifically resulting in the widening of the upper TSH reference limit to 6.50. Application of these optimized RIs with the TSH reflex algorithm will serve as a guide for improvement in interpretation of thyroid function tests.

Successful demand management in diagnostic immunology testing

AIMS

We investigated whether we could have a material and sustained impact on immunology test ordering by primary care clinicians by building evidence-based and explanatory algorithms into test ordering software.

METHODS

A service evaluation revealed cases of over-requesting of antinuclear antibody, allergen-specific IgE and total IgE tests, and under-requesting of urine protein electrophoresis. We conducted a quality improvement programme to address this. We determined the most effective and efficient intervention would be to embed evidence-based and advice-based decision-support algorithms in the ordering software. Consultation with general practitioners revealed lack of knowledge and confidence about testing, and an appetite for support. We iteratively designed and implemented algorithms for the four sets of tests for the primary care practices in our catchment and made them available to other hospital trusts in our region. The ordering system now contains links to advice sheets for clinicians and their patients and to an email address for queries to the lab.

RESULTS

We observe large (36% to 88%) reductions in testing activity (workload) for the over-requested tests and large (28%-135%) increases for the under-requested test. We show that these changes are sustained. There have been no complaints from the clinicians and queries to the lab are now minimal (less than one per month on average).

CONCLUSIONS

Embedding algorithms in the ordering software can be acceptable to clinicians and have a major and sustained impact on overuse or underuse of tests. The algorithms can be replicated by other hospital trusts.

Promoting Choosing Wisely Thyroid Function Test Guidelines in a Large Pediatric Hospital System

BACKGROUND

Free thyroxine (fT4) is often ordered when not indicated. The goal of the current study was to use quality improvement tools to identify and implement an optimal approach to reduce inappropriate fT4 testing throughout a large pediatric hospital system.

METHODS

After reviewing evidence-based guidelines and best practices, a thyroid-stimulating hormone with reflex to fT4 test and an outpatient thyroid order panel with clinical decision support at order entry, along with several rounds of provider education and feedback, were implemented. Outpatient and inpatient order sets and system preference lists were reviewed with subject matter experts and revised when appropriate. Tracking metrics were identified. Automated monthly run charts and statistical process control charts were created using data retrieved from the electronic health record. Charts established baseline data, balancing measure data, monitored the impact of interventions, and identified future interventions.

RESULTS

Over a 44-month period, among nonendocrinology providers, a reduction in fT4 and thyroid-stimulating hormone co-orders from 67% to 15% and an increase in reflex fT4 tests from 0% to 77% was obtained in inpatient and outpatient settings. Direct cost savings as a result of performing 5179 fewer fT4 tests over 3 years was determined to be $45 800.

CONCLUSIONS

After implementation of a reflex fT4 test, a novel order panel with clinical decision support, provider education, and changes to ordering modes, a large and sustainable reduction in fT4 tests that was associated with significant cost savings was achieved among nonendocrinology providers.

Limited Utility of Free Triiodothyronine Testing

BACKGROUND

Free triiodothyronine (fT3) testing is most useful when thyroid stimulating hormone (TSH) is suppressed, and free thyroxine (fT4) is normal or decreased. These laboratory values in a symptomatic patient are referred to as T3 thyrotoxicosis. Standards for fT3 reflex testing have not been established. Herein, we examined the clinical utility of fT3 with the goal of identifying a TSH cutoff in the context of normal/decreased fT4 that maximizes the utility of measuring fT3.

METHODS

TSH, fT4, and fT3 results between January 2016 and October 2021 were extracted from the laboratory information system and grouped if resulted on the same day for the same patient. Frequency of biochemical T3 thyrotoxicosis was evaluated at different TSH cutoffs and in outpatient vs inpatient settings.

RESULTS

Of the 4366 TSH-fT4-fT3 results, 70 (1.6%) were consistent with biochemical T3 thyrotoxicosis. The common reasons were previously diagnosed hyperthyroidism on antithyroid medication (n = 28) or hypothyroidism on thyroid medication (n = 18) and newly diagnosed hyperthyroidism (n = 20, 0.5%). The likelihood of detecting T3 thyrotoxicosis increased with lower TSH cutoff (<0.3 μIU/mL, 10.3% vs <0.0 1μIU/mL, 27.6%). All patients with newly diagnosed hyperthyroidism had TSH <0.01 μIU/mL. Higher frequency of T3 thyrotoxicosis was observed in the outpatient setting (34%) relative to the inpatient setting (14%, P < 0.001) when TSH < 0.01 μIU/mL.

CONCLUSIONS

T3 thyrotoxicosis is a relatively rare diagnosis and fT3 measurement has limited utility in the vast majority of patients. A fT3 reflex for patients with TSH <0.01 μIU/mL and normal/low fT4 may improve clinical utility and reduce unnecessary testing, especially in the outpatient setting.

Lean and Six Sigma as continuous quality improvement frameworks in the clinical diagnostic laboratory

Processes to enhance customer-related services in healthcare organizations are complex and it can be difficult to achieve efficient patient-focused services. Laboratories make an integral part of the healthcare service industry where healthcare providers deal with critical patient results. Errors in these processes may cost a human life, create a negative impact on an organization's reputation, cause revenue loss, and open doors for expensive lawsuits. To overcome these complexities, healthcare organizations must implement an approach that helps healthcare service providers to reduce waste, variation, and work imbalance in the service processes. Lean and Six Sigma are used as continuous process improvement frameworks in laboratory medicine. Six Sigma uses an approach that involves problem-solving, continuous improvement and quantitative statistical process control. Six Sigma is a technique based on the DMAIC process (Define, Measure, Analyze, Improve, and Control) to improve quality performance. Application of DMAIC in a healthcare organization provides guidance on how to handle quality that is directed toward patient satisfaction in a healthcare service industry. The Lean process is a technique for process management in which waste reduction is the primary purpose; this is accomplished by implementing waste mitigation practices and methodologies for quality improvement. Overall, this article outlines the frameworks for continuous quality and process improvement in healthcare organizations, with a focus on the impacts of Lean and Six Sigma on the performance and quality service delivery system in clinical laboratories. It also examines the role of utilization management and challenges that impact the implementation of Lean and Six Sigma in clinical laboratories.

Routine T4 No More? Reducing Excess Thyroid Hormone Testing at a Pediatric Tertiary Care Hospital

OBJECTIVES

To promote resource stewardship in thyroid hormone testing at a pediatric tertiary care hospital.

STUDY DESIGN

Quality improvement approaches generated 3 change ideas that were implemented simultaneously in the hospital electronic medical record: (1) a reflex free thyroxine (fT4), whereby fT4 is automatically reported if the thyroid-stimulating hormone is outside the normal range; (2) a forced-function for thyroid hormone ordering, whereby a provider must select an appropriate indication for ordering fT4 or triiodothyronine (T3); and (3) a clinical decision support message displayed at the time of ordering thyroid function tests. Laboratory data were audited to determine the mean number of fT4 and T3 tests performed per week as well as indications for testing.

RESULTS

The mean number of fT4 and T3 tests processed per week decreased from 154 ± 21 and 11 ± 7, respectively, in the preintervention period, to 107 ± 12 (30% reduction) and 4 ± 3 (66% reduction) postintervention. These reductions were sustained for the full 20-week assessment period. Process and balancing measures revealed no unintended adverse consequences. Approximate cost savings were $43 000 per year.

CONCLUSIONS

We describe the successful implementation of electronic medical record-based interventions (reflex fT4, forced-function selection of indication, decision support text) leading to sustained improvements in healthcare use, with significant associated cost-savings.

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.

Overutilization in laboratory medicine: tackling the problem with quality improvement science

Overutilization of tests and treatments is a widespread problem in contemporary heath care, and laboratory medicine is no exception. It is estimated that 10-70% of laboratory tests may be unnecessary, with estimates in the literature varying depending on the situation and the laboratory test. Inappropriate use of laboratory tests can lead to further unnecessary testing, adverse events, inaccurate diagnoses, and inappropriate treatments. Altogether, this increases the risk of harm to a patient, which can be physical, psychological, or financial in nature. Overutilization in healthcare is driven by complex factors including care delivery models, litigious practice environments, and medical and patient culture. Quality improvement (QI) methods can help to tackle overutilization. In this review, we outline the global healthcare problem of laboratory overutilization, particularly in the developed world, and describe how an understanding of and application of quality improvement principles can help to address this challenge.