Optimization of Low-Value Medical Testing Practices in Hospitalized Patients in Argentina (OPTIMIZAR)

The overuse of diagnostic laboratory testing in hospitalized patients is a well-recognized source of low-value care. Unnecessary testing may contribute to patient discomfort, iatrogenic anemia, false-positive findings, diagnostic cascades, prolonged hospitalization, increased workload for clinical teams, and inefficient use of healthcare resources. Diagnostic stewardship strategies have been proposed to improve the appropriateness of test ordering while maintaining patient safety. However, most available evidence comes from high-income healthcare systems, and there is limited evidence regarding the effectiveness, implementation, and sustainability of these interventions in Latin American hospitals.

OPTIMIZAR is a multicenter, effectiveness-implementation hybrid type 2 study designed to evaluate both the effectiveness and implementation of a multicomponent diagnostic stewardship intervention. The study will be conducted in internal medicine wards and intensive care units across public and private tertiary hospitals in Argentina. The intervention is implemented at the hospital unit level and is integrated into routine clinical practice.

The intervention consists of a multifaceted diagnostic stewardship bundle targeting laboratory ordering practices. Its components include: workflow redesign to define clear responsibility for daily laboratory ordering; operational support strategies such as sample reutilization for add-on testing and remote electronic order modification; structured educational sessions focused on diagnostic stewardship principles, healthcare costs, and the clinical utility of commonly ordered laboratory tests; and audit and feedback with periodic review of laboratory ordering patterns and structured feedback to clinical teams. Each participating site will establish a local leadership team responsible for contextual adaptation, stakeholder engagement, and implementation support.

Effectiveness will be assessed using an interrupted time series design with aggregated unit-level data collected during a baseline usual-care period and after implementation. The primary outcome is monthly laboratory testing intensity, measured as Argentine Standardized Biochemical Units per occupied bed-day. This metric is based on the Argentine laboratory billing and weighting system, which assigns standardized biochemical units according to the technical complexity and resource utilization of each laboratory test. The outcome will be calculated monthly for each participating unit as the total number of standardized biochemical units divided by the total number of occupied bed-days.

Secondary effectiveness outcomes include monthly in-hospital mortality and hospital length of stay. These outcomes will be evaluated to assess whether reductions in laboratory testing are achieved without evidence of patient harm. Interrupted time series models will be used to estimate baseline trends, immediate changes after implementation, and post-intervention changes in trend.