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An Observational study to understand the burden of ICU alarms and incidence of alarm fatigue among healthcare staff and to find ways to reduce alarm fatigue.

Characterization of ICU Alarm Burden and Alarm Fatigue: A Prospective Observational Study and Development of Provider-Guided Interventions. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/11/096852
Enrollment
500
Registered
2025-11-03
Start date
Unknown
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

None listed

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Intervention3: Nil: Nil

Sponsors

Department of Anaesthesiology and Critical Care AIIMS Bhubaneswar
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Alarm data of patients of either gender aged greater than 18 years who are on mechanical ventilation for at least 4 hours The ICU nursing staff and duty doctor working in ICU greater than 2 weeks

Exclusion criteria

Exclusion criteria: No Exclusion Criteria

Design outcomes

Primary

MeasureTime frame
1)To quantify Alarms per Monitored Bed Day (AMBD) and to categorize the types of alarms generated in our ICU (categorised as high priority, medium priority and low priority, and clinical & technical alarm).Timepoint: 1 Year

Secondary

MeasureTime frame
1)Recategorizing alarm priority according to clinical significance like life threatening as high priority vs non-life threatening as low priority.Timepoint: 1 Year;2)To find the incidence of alarms per patient ICU day to assess life threatening alarms according to clinical status like SOFA score, Glasgow Coma Scale (GCS) and APACHE II score.Timepoint: 1 Year;3)To evaluate alarm fatigue (incidence & temporal variations) among ICU healthcare providers (resident doctors and nursing staff), and assess their perceptions and coping strategies using a predefined questionnaire.Timepoint: 1 Year;4)To identify common causes of false alarms and propose evidence-based mitigation strategies.Timepoint: 1 Year;5)To examine the relationship between alarm exposure and nurse response time.Timepoint: 1 Year

Countries

India

Contacts

Public ContactJayanta Mitra

AIIMS Bhubaneswar

mitra.jayanta@gmail.com9433798583

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026