Stressful episodes reported by first-year student nurses: A descriptive account

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Ergonomics: anaesthetists' use of auditory alarms in the operating room

Eight hundred and six medical and surgical patients who were hospitalized via the emergency ward were followed over their entire impairment stays and rated in anterograde, double-blind fashion for inpatient incidents (falls, medication errors, other). Injuries were minor but affected 2.2% of admissions, a figure which is strikingly similar to studies in other hospitals. There was a statistical trend toward a higher-than-normal risk of hazardous in-hospital incidents for males age 20 to 40 admitted because of injury and for medically ill females over 60 years old.

Accidental injuries of hospitalized patients. A prospective cohort study.

Four hundred three consecutive injury victims admitted via emergency ward over a 3-month period were tracked with 403 contemporaneous controls with medical illness and blindly assessed for in-hospital accidents. There was a high frequency of "incidents" (n = 161 in 107 patients, mainly falls and medication errors), but injury victim admissions resembled medically ill controls when compared by the Kaplan-Meier method for cumulative probability of occurrence of an in-hospital incident. Accelerated failure/time models using the Weibull method to compute average times from admission to incident showed little difference between groups. Admission type (injury victim vs. control) did not predict psychiatric consultation, incident type, or multiple incidents in hospital. Although the injury group had a larger proportion of males and lower mean age, stratification to control for age and sex did not significantly discriminate injury victims from controls in production of incidents: Over all risk of incidents was random. By studying patients during a hospital stay, the effects of differences in individual environment and drug and alcohol intoxication are largely factored out; under these conditions the predictive effect of a prior injury becomes insignificant. In-hospital injury is associated with host factors long known to promote falls: increasing age, debility-cum-mobility, and central nervous system depressant medication.

In-hospital injuries of medical and surgical patients: the predictive effect of a prior injury.

This chapter provides an overview of the current literature on human error in health care with a particular focus on psychological models developed to explain fallible behavior. After reviewing the history of the study of human error, some models of human error will be described; next, contextual, situational, and systemic influences on erroneous behavior will be discussed. Then, an integrative model of human error in health care is presented. This chapter concludes with a review of work on human error in health care, with a special focus on the areas of critical care, surgery, and anesthesia.

Human Error in Health Care

A prospective study of accident/error rates was carried out on thirty-one nursing students. Recent life changes and stresses, social support available to cope with this stress, depression, illness rate, and coping skills were measured at baseline. Five weeks later students recorded accidents suffered and errors made over a week long period. The number of life changes in the previous two years and the amount of adjustment required to cope with these changes, together with the social support available to help cope with these events were the most powerful predictors of accident/error rate. Together they accounted for 70 per cent of the variance. Multiple regression equations for the outcome variables were calculated to study the best linear predictor combination. Depression and coping skills had poor predictor power. The implications of the findings for health care personnel are discussed. Steps to lower the accident/error rate in those at risk are outlined.

Psychosocial Predictors of Accident/Error Rates in Nursing Students: A Prospective Study:

A prospective study over three months explored whether measures of response "qualities" of life change events (e.g., whether the event was positive or negative in its subjective impact) enhance the ability of a simple counting of recent life change events to predict near future illness rates. Thirty-four nursing students were studied. Results confirm previous reports that future illness rates increase positively and significantly in direct relationship to the accumulation of recent past life change events. A simple count of the number of untimely or unexpected life stresses (31% of total life changes) or a simple count of the number of negative life events (53.8%) were as potent predictors as the total count of recent life changes. The total number of times each event occurred did not add to the predictive power of a count of the number of events experienced. Anticipated life events were poor predictors of future illness rates. The subjective life change unit scaling system (SLCU) did not add to the predictive power of a simple count of the number of events. Social support availability did not significantly lower illness rates.

Anne Fitzgerald

Papers

Psychosocial Predictors of Accident/Error Rates in Nursing Students: A Prospective Study:

The Relationship between Response Qualities of Life Change Events and Future Illness Rates