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Nurse staffing levels, missed vital signs observations and mortality in hospital wards

Project: Research

Layman's description

The NHS in England, like many other healthcare systems, is facing intense pressure to maintain the
quality and safety of care provided in hospitals at the same or less cost than in previous years. The
quality of nursing care - and the potential for inadequate nursing care to do patients great harm - has
emerged as a factor in several reports into failings in NHS hospitals. These reports have often noted
that failing to ensure adequate nurse staffing was an important issue that was associated with poor
care and preventable deaths. This is consistent with research showing associations between low
levels of nurse staffing and increased death rates in hospitals. However, because nurse staffing is
only one factor affecting a patient’s death, it is difficult to use these studies to directly show the effects
of low staffing on nursing care delivery and to help decide the best staffing levels. Recently studies
have begun to explore “missed nursing care”, defined as nursing care that was needed but not done,
as a key factor leading to negative patient outcomes. Missed opportunities to observe and act on
deterioration of the patient’s condition are thought to be important factors in preventable hospital
deaths.
Previous studies on missed nursing care have relied on nurses to report the care they missed. This
may not be entirely accurate. This study aims to explore how nurse staffing levels are related to
missed or delayed vital signs observation (that is, measurements of blood pressure, pulse and
respirations) using direct measures of the timing of observations recorded in a clinical information system. The study will also look at the relationship between staffing levels and possible
consequences of missed observations in terms of cardiac arrest calls, unanticipated admission to
intensive care and death.
This study will use information about ward and shift level nurse staffing, vital signs observations and
patient outcomes that are routinely recorded in a hospital. Information will be gathered from all acute
general inpatient wards in Portsmouth Hospitals NHS Trust (PHT). Information from approximately
100,000 nursing shifts will be available for the study. Relationships between registered nurse and
health care assistant staffing levels and outcomes will be explored using statistical models which can
give a picture of relationships showing, for example, how much the risk of missing a set of
observations is increased for every additional patient cared for by a nurse. These estimates will be
used to estimate staffing required on different wards to achieve satisfactory levels of compliance with
vital signs observations. We will look at the costs and consequences of different levels and mix of
nursing staff to achieve this consistently. The study will give guidance on the relative importance and
costs of different nursing skill mixes and staffing levels in achieving consistent observations and safe
care.
Short titleMissed Care
StatusFinished
Effective start/end date1/06/1531/05/17

Collaborative partners

Funding

Award relations

The association between missed observations and nurse staffing levels in hospital wards

Professor Jim Briggs

National Institute for Health Research: £84,771.00

1/06/1531/05/17

Award date: 29/07/15

Funding: R: ResearchAward

Relations

ID: 7898336