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Ward and shift level nurse staffing, vital signs observations and patient outcomes: observational study using routinely collected data

Nurse staffing levels, missed vital signs observations and mortality in hospital wards: modelling the consequences and costs of variations in nurse staffing and skill mix. Retrospective observational study using routinely collected data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN17930973
Enrollment
100000
Registered
2015-06-11
Start date
2015-09-01
Completion date
Unknown
Last updated
2023-07-25

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

Conditions

Adult inpatient general wards in a large acute care hospital trust Not Applicable

Interventions

This is a retrospective observational study using routinely collected data on ward and shift level nurse staffing, vital signs observation and patient outcomes.

Sponsors

University of Southampton
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All adult inpatients in general wards of a large acute care hospital within a period of 6 months will be included. Data for the study will be derived from a database of records made using the VitalPAC system, which enables nurses to record clinical data on hand held devices at the bedside. We will also use data from the Patient Administration System (PAS) and hospital laboratory records to determine rates of mortality and to adjust for patient level variation in risk. E-rostering (available from 2012 onwards) will provide workforce data from approximately 100,000 shifts available for the study.

Exclusion criteria

Exclusion criteria: All adult inpatients in general wards will be included. ITU, maternity and paediatric units are not considered.

Design outcomes

Primary

MeasureTime frame
Missed vital signs observations. A missed observation is defined as an observation that is not performed before the next observation is due. The planned frequency of observations is determined from a national protocol based on NEWS values, which identifies risk of adverse outcome.

Secondary

MeasureTime frame
1. Rate of missed observations in high risk sub-groups, defined by elevated NEWS score 2. Absolute delay (time from observation becoming due until an observation is taken) 3. Relative delay (time from observation becoming due until an observation is taken expressed as a proportion of the scheduled observation frequency in minutes) 4. Deaths 5. Cardiac arrests 6. Unanticipated ICU admissions 7. Records of other assessments in electronic vital signs system

Countries

England, United Kingdom

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 23, 2026