Summary Objective To explore the reasons why nursing staff use the subjective “worried” Medical Emergency Team (MET) calling criterion and compare the outcomes of calls activated using the “worried” ...criterion with those calls activated using “objective” criteria such as vital sign abnormalities. Methods A descriptive study of MET calls in six acute hospitals over a 12 months period. Outcomes for “objective” and “worried” calls were compared. Results The “worried” criterion was used to activate 29% of 3194 MET calls studied; it was the single most common reason for a MET call. Half (51.7%) of the “worried” calls were related to problems with Airway, Breathing, Circulation or Neurology. ‘Breathing’ problems accounted for the largest proportion (35.2%). A low oxygen saturation by pulse oximetry (SpO2 ) ( n = 249, 26.9%) and ‘respiratory distress’ ( n = 133, 14.4%) were the most common reasons for a “worried” call. Only 1.1% (10) of calls triggered by the “worried” criteria had cardiac arrest as an outcome compared with 170 calls (7.6%) for “objective” criteria. The proportion of patients who remained in a general ward area after MET calls was higher for the “worried” calls. Conclusions The “worried” criterion was the most frequent reason for MET calls, implying a high degree of empowerment and independent action by nursing staff. Low SpO2 and respiratory distress were the most common causes for concern. There was a significant difference between MET calls triggered by “worried” criteria and “objective” criteria for outcomes immediately following MET ( p < 0.001). Further assessment and refinement of MET triggers particularly in relation to respiratory distress and pulse oximetry may be needed.
A study of the medical emergency team (MET) to explore communication within the team, leadership, handover, and MET resuscitation practice was performed using audiovisual recording in hospitals of ...Sydney South West Area Health Service, Sydney, Australia. In this article, we report on the process of data collection: the completion of 25 video recordings of MET calls across three of the six study hospitals. We describe how we gained entry into hospital environments to film events characterized by the unpredictability and uncertainties associated with resuscitating a patient and the strategies that we implemented during the fieldwork to develop and maintain rapport with both clinicians and managers. We describe how we addressed some of the practical constraints related to collecting audiovisual data at the point of acute care as well as their implications for the theoretical and methodological aspects of the study.
To examine the implementation of estimated date of discharge (EDD) for planned admissions and admissions via the emergency department, to assess the variance between EDD and the actual date of ...discharge (ADD), and to explore the determinants of delayed discharge in a tertiary referral centre, Sydney, Australia.
Primary data from a convenience sample of 1958 admissions for allocation of EDDs were linked with administrative data. The window for assigning EDDs for planned admissions was 24h, for admissions via the emergency department it was 48h. Logistic regression models were used to examine the key factors associated with an EDD being assigned within 24h or 48h of an admission. An ordinal logistic regression model was used to explore the determinants of delayed discharge.
Only 13.4% of planned admissions and 27.5% of admissions via the emergency department were allocated a timely EDD. Older patients, patients with significant burdens of chronic morbidity (OR=0.903; P=0.011); and patients from a non-English-speaking background (OR=0.711; P=0.059) were less likely to be assigned a timely EDD. The current Charlson Index score was a significant predictor of a positive variance between EDD and ADD.
The prevalence of the timely assignment of an EDD was low and was lowest for planned admissions. The current Charlson Index score is an effective tool for identifying patients who are more likely to experience delayed discharge.
To identify the reasons and determinants of discharge delay in acute care patients, information associated with delayed discharge was extracted from the medical record of 1958 patients in a tertiary ...referral hospital in New South Wales. A logistic regression model was used to examine the association between demographic factors and reasons for discharge delay. Delayed discharge was most commonly associated with the patient's medical conditions, delayed health care or medical consultation, delayed diagnostic services and delayed allied health services. Elderly patients, those living alone and patients from a non-English-speaking background were more likely to have these reasons for delayed discharge.
To explore how CNCs who provide hospital wide support after hours (AHCSs) construct their role.
This is an ethnographic study involving two AHCSs as participants. Audio visual data was collected in ...2007 at a Major Metropolitan Hospital, Sydney during after hours shifts. The data was coded using the standards defined in the Nurse Practitioner (NP) competencies.
Four hours of videotape (observed clinical practice) and 2
h of audio tape (interviews) were coded. They performed procedures (22%), gathered information to identify at risk patients (21%), conducted patient assessments (20%) and relayed information/findings to ward nurses (12%) and doctors (12%). The roles/responsibilities of AHCSs were similar to those defined for NPs. For the domain “dynamic practice” 388 activities were identified. The two participants used advanced and comprehensive assessment skills and demonstrated a high level of proficiency in performing procedures/interventions. For the domain “professional efficacy” 174 activities were coded, for “clinical leadership” there were 135 activities. “Pro-actively identifying at risk patients in general wards” was added as a new performance indicator within the domain “clinical leadership”. An analysis of the interviews corroborated the results derived from the visual data.
A significant capacity for critical thinking and clinical decision making were the hallmarks of the performance of the two AHCSs; their style of practice was collaborative, flexible and autonomous. While their formal role were as CNCs the two participants operationalised their roles/responsibilities as would a Nurse Practitioner. Their practice demonstrated a new competency: “the pro-active identification of at risk patients”.
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