Estimating the economic cost of nurse sensitive adverse events amongst patients in medical and surgical settings.

AIMS: To identify the costs associated with nurse sensitive adverse events and the impact of these events on patients' length of stay. DESIGN: Retrospective cohort study using administrative hospital data. METHODS: Data were sourced from patient discharge information (N = 5544) from six acute wards within three hospitals (July 2016-October 2017). A retrospective patient record review was undertaken by extracting data from the hospitals' administrative systems on inpatient discharges, length of stay and diagnoses; eleven adverse events sensitive to nurse staffing were identified within the administrative system. A negative binomial regression is employed to assess the impact of nurse sensitive adverse events on length of stay. RESULTS: Sixteen per cent of the sample (n = 897) had at least one nurse sensitive adverse event during their episode of care. The model revealed when age, gender, admission type and complexity are controlled for, each additional nurse sensitive adverse event experienced by a patient was associated with an increase in the length of stay beyond the national average by 0.48 days (p = .001). Applying this to the daily average cost of inpatient stay per patient (€1456), we estimate the average cost associated with each nurse sensitive adverse event to be €694. Extrapolating this nationally, the economic cost of nurse sensitive adverse events to the health service in Ireland is estimated to be €91.3 million annually. CONCLUSION: These potentially avoidable events are associated with a significant economic burden to health systems. The estimates provided here can be used to inform and prepare the way for future economic evaluations of nurse staffing initiatives that aim to improve care and safety. IMPACT: As many of these nurse sensitive adverse events are avoidable, in addition to patient benefits, there is a potential substantial financial return on investment from strategies such as improved nurse staffing that can reduce their occurrence.

A protocol to measure the impact of intentional changes to nurse staffing and skill-mix in medical and surgical wards.

AIM: The aim of this research is to measure the impact that planned changes to nurse staffing and skill-mix have on patient, nurse, and organizational outcomes. BACKGROUND: It has been highlighted that there are several design limitations in studies that explore the relationship between nurse staffing and patient, nurse and organizational outcomes; not least that the vast majority of research in this area emanates from studies that are predominantly observational in design. There are limited studies that measure nurse, patient, organizational, and economic outcomes using a longitudinal design following a planned change in nurse staffing. DESIGN: The research will employ a longitudinal, multimethod approach to evaluate the impact that planned changes in nurse staffing and skill-mix have on wards in three pilot hospitals. METHODS: Administrative data collection will take place on a shift-by-shift basis prospectively over a three-year period including the measurement of nursing sensitive outcomes: cross-sectional patient experience data and nurse outcomes (nursing work, job satisfaction, burnout, missed care) will be collected at intervals prior to, during and after the implementation of planned changes in nurse staffing and skill-mix. Data will be analysed using interrupted time-series models, adjusted for key hospital, ward and patient-level factors. An economic costing of the changes will further investigate the resources required for the intervention that can then be aggregated to a national level for future roll-out plans. DISCUSSION: The study aims to provide evidence on the impact of planned changes to nurse staffing and skill-mix based on a systematic approach using a longitudinal design and to determine the extent to which the approach can be implemented at a national level.