Nurse Notification of EWS Alert vs Control: Transfer to ICU or Unexpected Death Within 24 Hrs of Identification by the EWS Algorithm
Calculated by ConductScience from the counts the trial posted to ClinicalTrials.gov.
Measures 6
Calculated by ConductScience from the counts the trial posted to ClinicalTrials.gov.
| Measure | Value | 95% interval, lower | 95% interval, upper | Method | Note | Source |
|---|---|---|---|---|---|---|
| Risk in group 1 | 0.0448 | 0.0409 | 0.0491 | wilson | ClinicalTrials.gov | |
| Risk in group 2 | 0.0421 | 0.0384 | 0.0462 | wilson | ClinicalTrials.gov | |
| Risk difference, group 1 minus group 2 | 0.0027 | -0.00295 | 0.00837 | newcombe hybrid score | ClinicalTrials.gov | |
| Risk ratio, group 1 over group 2 | 1.06 | 0.934 | 1.21 | log | ClinicalTrials.gov | |
| Odds ratio, group 1 over group 2 | 1.07 | 0.932 | 1.22 | log | ClinicalTrials.gov | |
| Number needed to treat, for one more participant with the outcome on Nurse Notification of EWS Alert than on Control | 370 | from the risk difference interval | the interval includes no difference | ClinicalTrials.gov |
Groups 2
Group 2 names the comparator: control.
| Group | Title | Description | With the outcome | Analysed | ClinicalTrials.gov code | Source |
|---|---|---|---|---|---|---|
| Group 1 | Nurse Notification of EWS Alert | Patients admitted to 4 GHWs designated as intervention wards at BJH. Nurses will be notified when patients on these wards satisfy the EWS algorithm. Some patients will be asked to wear the wireless remote sensors.~EWS Nursing Alerts: An automated algorithm (EWS) will identify patients at potential risk of clinical deterioration. When a patient satisfies the algorithm, a nurse on the patient's ward will be notified. S/he will assess the patient and institute any interventions that are clinically required.~Wireless Remote Sensor: A subset of patients will be consented to wear a wireless sensor device which will monitor heart rate and level of oxygen in the blood. | 444 | 9,911 | OG001 | ClinicalTrials.gov |
| Group 2 | Control | Patients admitted to 4 GHWs designated as controls. Nurses will not be notified when patients on these GHWs satisfy the EWS algorithm. They will also not wear the wireless sensor devices. | 426 | 10,120 | OG000 | ClinicalTrials.gov |
Outcome 5
| Field | Value | Source |
|---|---|---|
| Type | PRIMARY | ClinicalTrials.gov |
| Title | Transfer to ICU or Unexpected Death Within 24 Hrs of Identification by the EWS Algorithm | ClinicalTrials.gov |
| Description | The proportion of patients transferred to ICU or death within 24 hrs of identification by the EWS algorithm for intervention and control wards. | ClinicalTrials.gov |
| Time frame | Within 24 hrs of an EWS alert | ClinicalTrials.gov |
| Population | ClinicalTrials.gov |
Trial 8
| Field | Value | Source |
|---|---|---|
| Title | Early Warning System for Clinical Deterioration on General Hospital Wards | ClinicalTrials.gov |
| NCT number | NCT01280942 | ClinicalTrials.gov |
| Phases | NA | ClinicalTrials.gov |
| Conditions | Escalation of Care, Cardiopulmonary Arrest, Respiratory Arrest, Severe Sepsis, Septic Shock | ClinicalTrials.gov |
| Interventions | EWS Nursing Alerts, Wireless Remote Sensor | ClinicalTrials.gov |
| Lead sponsor | Washington University School of Medicine | ClinicalTrials.gov |
| Results first posted | 2018-02-14 | ClinicalTrials.gov |
| Results on ClinicalTrials.gov | https://clinicaltrials.gov/study/NCT01280942?tab=results | ClinicalTrials.gov |
Source 4
| Field | Value | Source |
|---|---|---|
| Release | trial-comparisons-2026-03-23-0.1.0 | ClinicalTrials.gov |
| Release manifest SHA-256 | f66225897fbf258b57ea10bdacfd0347d3cdfda93f7f5685234b7e06ea36fa57 | ClinicalTrials.gov |
| AACT copy | 2026-03-23 | ClinicalTrials.gov |
| Tables read | outcome_counts.parquet, outcome_measurements.parquet, outcomes.parquet, reported_event_totals.parquet, reported_events.parquet, result_groups.parquet, studies.parquet, ctgov_trial.parquet | ClinicalTrials.gov |
Release trial-comparisons-2026-03-23-0.1.0
ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299 ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions. The measures are ConductScience's calculation from them.
ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions. The measures are ConductScience's calculation from them.