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Analysis of Variability in the Management of Respiratory Infections in Hospitalized Patients Under 2 Years of Age

Analysis of Variability in the Management of Respiratory Infections in Hospitalized Patients Under 2 Years of Age Using Propensity Score Matching in Pediatric Inpatient Units"

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07202585
Enrollment
127
Registered
2025-10-02
Start date
2025-05-01
Completion date
2025-12-01
Last updated
2026-04-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bronchiolitis, Bronchiolitis Acute Viral

Keywords

Acute Lower Respiratory Infections (ALRI), Pediatric Respiratory Infections, Clinical Variability, Propensity Score Matching

Brief summary

Medical practice variability refers to differences in treatment and clinical outcomes that cannot be solely explained by patient characteristics or medical conditions. This variability can lead to inconsistent outcomes, especially in complex environments like pediatric inpatient wards. Standardization of care protocols is proposed as a way to reduce this inconsistency.

Detailed description

Medical practice variability refers to differences in treatment and clinical outcomes that cannot be solely explained by patient characteristics or medical conditions. This variability can lead to inconsistent outcomes, especially in complex environments like pediatric inpatient wards. Standardization of care protocols is proposed as a way to reduce this inconsistency. One key area of variability is the diagnosis and treatment of respiratory infections, particularly distinguishing bacterial from viral bronchial infections. Due to the lack of definitive clinical criteria, there is widespread antibiotic use (65-80% of cases), despite ongoing debate about their effectiveness. Implementing standardized management protocols in pediatric wards aims to reduce such variability and improve clinical outcomes. This study will attempt to measure variability in outcomes based on treatment variables, identifying sources of medical variability and their impact.

Interventions

None listed

Sponsors

Hospital General de Niños Pedro de Elizalde
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
1 Months to 24 Months

Inclusion criteria

Children under 2 years hospitalized with LARI in general pediatric wards during the winter months (June-September) of 2025 and 2026 in Buenos Aires

Exclusion criteria

Intensive care admission on entry Presence of comorbidities: congenital heart disease. Chronic respiratory conditions, neuromuscular diseases, immunodeficiencies,. Prolonged previous hospitalizations for unrelated causes Severe disabilities influencing hospitalization duration.

Design outcomes

Primary

MeasureTime frameDescription
Variability in the treatment:Length of Hospital Stay2 years* Definition: Total number of full calendar days from admission to pediatric ward until medical discharge. * Measurement: Recorded in patient's medical record. Calculated as discharge date - admission date. * Type of Variable: Continuous (days). * Analysis: Mean/median days compared between groups after Propensity Score Matching.

Secondary

MeasureTime frameDescription
Explore Clinical outcomes2 years* Definition: Incidence of adverse events during hospitalization, including nosocomial infections, escalation to ICU, or other significant medical complications. * Measurement: Categorical (Yes/No for each complication) documented in medical record with onset and resolution dates. * Type of Variable: Binary for each event; total count of events per patient can also be analyzed. * Analysis: Proportion of patients experiencing ≥1 complication compared between groups after Propensity Score Matching.

Countries

Argentina

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 3, 2026