New reimbursement models to promote better patient outcomes and overall value in laboratory medicine and healthcare

The most widespread healthcare reimbursement models, including diagnostic laboratory services, are Fee-for-Service, Reference Pricing and Diagnosis-Related Groups. Within these models healthcare providers are remunerated for each specific service or procedure they operate. Healthcare payers are increasingly exploring alternative models, such as bundled payments or value-based reimbursement to encourage value of patient care rather than the simple amount of delivered services. These alternative models are advised, as they are more efficient in promoting cost-effective, high-quality laboratory testing, thereby improving patient health outcomes. If outcomes-based evaluation is a pillar in a new vision of "Value-Based Healthcare", an active policy of Value-Based Reimbursement in laboratory medicine will assure both an efficiency-based sustainability and a high-quality effectiveness-based diagnostic activity. This review aims to evaluate current and alternative reimbursement models, to support a wider agenda in encouraging more Value-Based Healthcare and Value-Based Reimbursement in laboratory medicine.

Test Volume Ratio Benchmarking to Identify and Reduce Low-Value Laboratory Utilization

OBJECTIVES

We analyzed test volume data to identify low-value test utilization. We subsequently tracked the efficacy of interventions to improve test utilization by decreasing low-value testing.

METHODS

Test volume data for analytes included in the Choosing Wisely guidelines were analyzed to identify population outliers. Outliers were defined by test volume ratios of either analyte to sodium or paired analytes to correct for variation in patient volumes at each site. Interventions to improve test utilization were targeted to outlier sites. Relative efficacy in reducing low-value testing was tracked at those sites.

RESULTS

After appropriate data cleaning, test volume ratios for 17 analytes paired with sodium and 8 pairs of analytes were acquired from 108 national sites. A site with abnormally high Clostridium difficile/sodium ratio was selected for intervention, leading to a 71% decrease in C difficile tests. Two different interventions to decrease creatine kinase MB isoform (CKMB) testing were performed at two unique sites with abnormally high CKMB/troponin ratios. These interventions decreased CKMB by 11% and 98% at the different sites, showing the efficacy of the different kinds of interventions.

CONCLUSIONS

Test volume ratio analysis and benchmarking enable identification of low-value test utilization.

Value-based healthcare: the role of laboratory medicine

The global increase of health demands pushes administrators and policy makers to provide good quality health care at sustainable costs. Many approaches have been developed, among which value-based health care (VBHC) is one of the most promising: value is given by outcomes achieved per dollar spent. Best value is given by shared benefits between all the stakeholders involved in the process: patients, providers, suppliers, payers and citizens. However, VBHC implementation is a current challenge for hospitals and healthcare providers, that may find it difficult to adapt their organization into a patient-centered clinical pathway based on both classical outcomes and innovative patient-evaluation. If any contribution to improve cost-effectiveness over the full cycle of care is welcome, laboratory medicine is achieving increasing importance, by generating useful knowledge to reduce costs and improve patient care, provided by a biunivocal relationship with clinicians. On the one hand, pathologists have to emphasize the importance of laboratory data to improve diagnostic and prognostic traditional thinking. On the other hand, the same data are useful only when supported by strong evidence. Introducing laboratory medicine professionals to VBHC would be useful to achieve better skills on data outline, comparable methodologies, quality control, cost assessment, multidisciplinary coordination and patient-specific procedures.

Effectiveness of Practices to Support Appropriate Laboratory Test Utilization: A Laboratory Medicine Best Practices Systematic Review and Meta-Analysis

Objectives

To evaluate the effectiveness of practices used to support appropriate clinical laboratory test utilization.

Methods

This review followed the Centers for Disease Control and Prevention (CDC) Laboratory Medicine Best Practices A6 cycle method. Eligible studies assessed one of the following practices for effect on outcomes relating to over- or underutilization: computerized provider order entry (CPOE), clinical decision support systems/tools (CDSS/CDST), education, feedback, test review, reflex testing, laboratory test utilization (LTU) teams, and any combination of these practices. Eligible outcomes included intermediate, systems outcomes (eg, number of tests ordered/performed and cost of tests), as well as patient-related outcomes (eg, length of hospital stay, readmission rates, morbidity, and mortality).

Results

Eighty-three studies met inclusion criteria. Fifty-one of these studies could be meta-analyzed. Strength of evidence ratings for each practice ranged from high to insufficient.

Conclusion

Practice recommendations are made for CPOE (specifically, modifications to existing CPOE), reflex testing, and combined practices. No recommendation for or against could be made for CDSS/CDST, education, feedback, test review, and LTU. Findings from this review serve to inform guidance for future studies.