NCT07629219

Brief Summary

Overuse of laboratory testing in hospitalized patients is a common form of low-value care and may contribute to patient discomfort, unnecessary downstream testing, inefficient use of healthcare resources, and increased costs. Although diagnostic stewardship interventions have reduced unnecessary laboratory testing in several high-income settings, evidence from Latin America remains limited, particularly regarding implementation processes and sustainability. OPTIMIZAR is a multicenter, effectiveness-implementation hybrid type 2 study evaluating a multicomponent diagnostic stewardship intervention in internal medicine wards and intensive care units across public and private tertiary hospitals in Argentina. The intervention targets laboratory ordering practices through workflow redesign, operational support, clinician education, and audit and feedback, with local leadership teams supporting implementation at each site. Effectiveness will be evaluated using an interrupted time series design with aggregated unit-level data collected before and after implementation. The primary outcome is monthly laboratory testing intensity, measured as Argentine Standardized Biochemical Units per occupied bed-day. Secondary outcomes include in-hospital mortality and hospital length of stay. Implementation outcomes will be assessed descriptively using the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
600

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jun 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

8 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 1, 2025

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 31, 2025

Completed
10 months until next milestone

First Submitted

Initial submission to the registry

May 19, 2026

Completed
17 days until next milestone

First Posted

Study publicly available on registry

June 5, 2026

Completed
Last Updated

June 5, 2026

Status Verified

June 1, 2026

Enrollment Period

2 months

First QC Date

May 19, 2026

Last Update Submit

June 1, 2026

Conditions

Keywords

Quaternary PreventionLow-Value CareCosts and Cost AnalysisImplementation SciencePublic HealthClinical Laboratory Techniques

Outcome Measures

Primary Outcomes (1)

  • Monthly Laboratory Testing Intensity Using Standardized Biochemical Units per Occupied Bed-Day

    Monthly rate of laboratory utilization standardized as Argentine Standardized Biochemical Units (NBU) per occupied bed-day at the hospital unit level. NBU refers to the Argentine laboratory billing and weighting system that assigns standardized biochemical units according to the technical complexity and resource utilization of each laboratory test. The outcome will be calculated as total monthly NBU units divided by total occupied bed-days for each unit-month. The interrupted time series model will estimate the pre-intervention trend, the immediate level change at intervention onset, and the post-intervention slope change.

    Baseline period (pre-implementation) and 8 months post-implementation follow-up, analyzed monthly.

Secondary Outcomes (2)

  • Monthly In-Hospital Mortality Rate

    Baseline period and 8 months post-implementation follow-up, analyzed monthly.

  • Monthly Length of Stay

    Baseline period and 8 months post-implementation follow-up, analyzed monthly.

Other Outcomes (1)

  • Implementation Outcomes (RE-AIM Framework)

    Implementation phase and 8 months post-implementation follow-up.

Study Arms (1)

Multicomponent Diagnostic Stewardship Intervention

EXPERIMENTAL

Hospital units receive a multicomponent diagnostic stewardship intervention after a baseline usual-care period. The intervention targets laboratory ordering practices at the unit level. Outcomes are evaluated using an interrupted time series design comparing pre- and post-implementation periods.

Behavioral: OPTIMIZAR Multicomponent Diagnostic Stewardship Bundle

Interventions

A multifaceted diagnostic stewardship intervention targeting laboratory ordering practices. Components include: (1) decision-making workflow redesign with designated responsibility for daily laboratory ordering; (2) operational support strategies such as sample reutilization ("add-on" testing) and remote electronic order modification; (3) structured educational sessions on diagnostic stewardship principles, costs, and clinical utility of commonly ordered tests; and (4) audit and feedback with biweekly review of laboratory orders and structured feedback to clinical teams. The intervention is implemented at the hospital unit level and integrated into routine clinical processes.

Multicomponent Diagnostic Stewardship Intervention

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adult patients (≥18 years) hospitalized in participating internal medicine wards or intensive care units during the study period.

You may not qualify if:

  • None at the individual level. The intervention is implemented at the unit level and applies to all admitted adult patients during the study period.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (8)

Hospital Municipal de Agudos Dr. Leónidas Lucero

Bahía Blanca, Buenos Aires, B8000, Argentina

Location

Hospital Interzonal General de Agudos Dr. Diego Paroissien

Isidro Casanova, Buenos Aires, B1765, Argentina

Location

Hospital Austral

Pilar, Buenos Aires, B1629WTA, Argentina

Location

Hospital Italiano de San Justo

San Justo, Buenos Aires, 1754, Argentina

Location

Hospital General de Agudos Dalmacio Vélez Sarsfield

Buenos Aires, Buenos Aires F.D., 1407, Argentina

Location

Hospital Italiano de Buenos Aires

Buenos Aires, Buenos Aires F.D., C1199ABB, Argentina

Location

Hospital Alemán

Buenos Aires, Buenos Aires F.D., C1425ASQ, Argentina

Location

Hospital Privado Universitario de Córdoba

Córdoba, Córdoba Province, X5016KEH, Argentina

Location

Related Publications (17)

  • Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999 Sep;89(9):1322-7. doi: 10.2105/ajph.89.9.1322.

    PMID: 10474547BACKGROUND
  • NBU Y ACTUALIZACIONES [Internet]. [cited 2026 Feb 3]. Available from: https://cubra.org.ar/anexo-nbu-2012-enero-2024/

    BACKGROUND
  • Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011 Apr 23;6:42. doi: 10.1186/1748-5908-6-42.

    PMID: 21513547BACKGROUND
  • Pinnock H, Barwick M, Carpenter CR, Eldridge S, Grandes G, Griffiths CJ, Rycroft-Malone J, Meissner P, Murray E, Patel A, Sheikh A, Taylor SJ; StaRI Group. Standards for Reporting Implementation Studies (StaRI) Statement. BMJ. 2017 Mar 6;356:i6795. doi: 10.1136/bmj.i6795.

    PMID: 28264797BACKGROUND
  • Landes SJ, McBain SA, Curran GM. An introduction to effectiveness-implementation hybrid designs. Psychiatry Res. 2019 Oct;280:112513. doi: 10.1016/j.psychres.2019.112513. Epub 2019 Aug 9.

    PMID: 31434011BACKGROUND
  • Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012 Mar;50(3):217-26. doi: 10.1097/MLR.0b013e3182408812.

    PMID: 22310560BACKGROUND
  • Kopitowski K. Lanzamiento de la campaña Choosing Wisely Argentina: primeros pasos hacia la desimplementación de prácticas de bajo valor. Evidencia actualizacion en la práctica ambulatoria. 2024 Jan 24;27(1):e007110-e007110.

    BACKGROUND
  • Bindraban RS, van Beneden M, Kramer MHH, van Solinge WW, van de Ven PM, Naaktgeboren CA, Al-Dulaimy M, van der Wekken LC, Bandt YC, Stam F, Neppelenbroek SIM, Griffioen-Keijzer A, Castelijn DAR, Wevers BA, Boerman AW, van Wijnen M, Ten Berg MJ, Nanayakkara PWB. Association of a Multifaceted Intervention With Ordering of Unnecessary Laboratory Tests Among Caregivers in Internal Medicine Departments. JAMA Netw Open. 2019 Jul 3;2(7):e197577. doi: 10.1001/jamanetworkopen.2019.7577.

    PMID: 31339544BACKGROUND
  • Website [Internet]. Available from: https://www.nice.org.uk/sharedlearning/nice-do-not-do-prompts.

    BACKGROUND
  • Devis L, Catry E, Honore PM, Mansour A, Lippi G, Mullier F, Closset M. Interventions to improve appropriateness of laboratory testing in the intensive care unit: a narrative review. Ann Intensive Care. 2024 Jan 15;14(1):9. doi: 10.1186/s13613-024-01244-y.

    PMID: 38224401BACKGROUND
  • Vegting IL, van Beneden M, Kramer MH, Thijs A, Kostense PJ, Nanayakkara PW. How to save costs by reducing unnecessary testing: lean thinking in clinical practice. Eur J Intern Med. 2012 Jan;23(1):70-5. doi: 10.1016/j.ejim.2011.07.003. Epub 2011 Aug 2.

    PMID: 22153535BACKGROUND
  • Muskens JLJM, Kool RB, van Dulmen SA, Westert GP. Overuse of diagnostic testing in healthcare: a systematic review. BMJ Qual Saf. 2022 Jan;31(1):54-63. doi: 10.1136/bmjqs-2020-012576. Epub 2021 May 10.

    PMID: 33972387BACKGROUND
  • Pageler NM, Franzon D, Longhurst CA, Wood M, Shin AY, Adams ES, Widen E, Cornfield DN. Embedding time-limited laboratory orders within computerized provider order entry reduces laboratory utilization. Pediatr Crit Care Med. 2013 May;14(4):413-9. doi: 10.1097/PCC.0b013e318272010c.

    PMID: 23439456BACKGROUND
  • Zhi M, Ding EL, Theisen-Toupal J, Whelan J, Arnaout R. The landscape of inappropriate laboratory testing: a 15-year meta-analysis. PLoS One. 2013 Nov 15;8(11):e78962. doi: 10.1371/journal.pone.0078962. eCollection 2013.

    PMID: 24260139BACKGROUND
  • Bindraban RS, Ten Berg MJ, Naaktgeboren CA, Kramer MHH, Van Solinge WW, Nanayakkara PWB. Reducing Test Utilization in Hospital Settings: A Narrative Review. Ann Lab Med. 2018 Sep;38(5):402-412. doi: 10.3343/alm.2018.38.5.402.

    PMID: 29797809BACKGROUND
  • Kobewka DM, Ronksley PE, McKay JA, Forster AJ, van Walraven C. Influence of educational, audit and feedback, system based, and incentive and penalty interventions to reduce laboratory test utilization: a systematic review. Clin Chem Lab Med. 2015 Feb;53(2):157-83. doi: 10.1515/cclm-2014-0778.

    PMID: 25263310BACKGROUND
  • Hauser RG, Shirts BH. Do we now know what inappropriate laboratory utilization is? An expanded systematic review of laboratory clinical audits. Am J Clin Pathol. 2014 Jun;141(6):774-83. doi: 10.1309/AJCPX1HIEM4KLGNU.

    PMID: 24838320BACKGROUND

Study Officials

  • Iván A Huespe, MD

    Hospital Italiano de Buenos Aires

    PRINCIPAL INVESTIGATOR
  • Javier A Pollán, PhD

    Hospital Italiano de Buenos Aires

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
PREVENTION
Intervention Model
SINGLE GROUP
Model Details: Single-group assignment with a pre-post design using an interrupted time series approach. All participating units receive the multicomponent intervention simultaneously after a baseline usual-care period. Outcomes are measured at the unit level before and after implementation to evaluate changes in laboratory testing intensity and safety outcomes over time.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

May 19, 2026

First Posted

June 5, 2026

Study Start

June 1, 2025

Primary Completion

July 31, 2025

Study Completion

July 31, 2025

Last Updated

June 5, 2026

Record last verified: 2026-06

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be shared. The study uses aggregated, anonymized unit-level data extracted from institutional systems.

Locations