Longitudinal description and evaluation of an emergency department avoidance strategy for a youth mass gathering (Schoolies) in Australia.

OBJECTIVE: ED avoidance strategies including In-Event Health Service (IEHS) processes during mass gathering events (MGEs), such as 'Schoolies week', may be important for EDs, ambulance services, the local population, and attendees. The aim of the present study was to provide a longitudinal description of emergency care requirements for young adults (16-18 years old); focussing on the impact of the Schoolies MGEs. METHODS: This retrospective observational study included youth (16-18 years) presentations made (i) to local public EDs during Schoolies week in 2008-2014 and (ii) to local EDs over a 3-week period (pre, during, post-Schoolies week) and the IEHS in 2015 and 2016. Descriptive and inferential statistics were undertaken. RESULTS: Youth presentations (n = 4256) were included. Presentation rates/1000 fluctuated over time (range 6.2-21.2). The IEHS provided care for 167 and 288 youth during 2015 and 2016 Schoolies week, respectively. Demographic factors (gender, age, region domiciled) and episode of care factors (time of presentation, mode of arrival, urgency, time to triage, time to be seen by a clinician and length of stay) between 2008 and 2016 varied by year. Toxicology (alcohol and other drugs), trauma, and mental health concerns were the most common diagnoses. CONCLUSIONS: The IEHS, operational during Schoolies, appeared to reduce pressures on local EDs by offering rapid, targeted care for potentially vulnerable youth; decrease requirements for hospital transport and minimise impacts on care provision for the local community. Given increases in ED crowding and pressures on ambulance services, such care models may be worth considering for other types of MGEs and in other locations.

Emergency healthcare delivery for young adults during a planned mass gathering: A retrospective observational study.

OBJECTIVE: To describe patient presentation characteristics and outcomes for people aged 16-18 years pre, during and post a planned youth mass gathering event (MGE): 'Schoolies week' on the Gold Coast, Queensland, Australia. METHODS: This was a retrospective observational study, including patient presentations by all young adults requiring care in the ED or in-event health services (EHS) over a 21-day period in 2014. Data analysis included descriptive and inferential statistics. RESULTS: A total of 1029 patient presentations were made by people aged 16-18 years to the ED and EHS over the 21-day study period (139 pre, 695 during [275 in ED, 420 in EHS], 195 post Schoolies week). Some ED patient characteristics and outcomes varied between the pre, during and post Schoolies periods, such as patients age (P < 0.001), usual place of residence (P < 0.001) and not waiting for treatment (P = 0.015). Of the 24 375 registered MGE attendees, 420 (1.72% [95% confidence interval 1.57-1.89], 17.2/1000) presented for in-event care. Most patients were allocated an Australasian Triage Scale category of 4 (n = 162, 65.6%), with toxicology related presentations (n = 169, 44.9%). Transportation to hospital was undertaken for seven MGE attendees (0.03% [95% confidence interval 0.01-0.06], 0.3/1000). CONCLUSIONS: Establishment of an in-event model of care for 1 week during Schoolies served as an effective hospital avoidance strategy for a planned youth MGE. Such in-event models of care may be considered for other similar future MGE.

Health Service Impact from Mass Gatherings: A Systematic Literature Review.

BACKGROUND: During a mass gathering, some participants may receive health care for injuries or illnesses that occur during the event. In-event first responders provide initial assessment and management at the event. However, when further definitive care is required, municipal ambulance services provide additional assessment, treatment, and transport of participants to acute care settings, such as hospitals. The impact on both ambulance services and hospitals from mass-gathering events is the focus of this literature review. Aim This literature review aimed to develop an understanding of the impact of mass gatherings on local health services, specifically pertaining to in-event and external health services. METHOD: This research used a systematic literature review methodology. Electronic databases were searched to find articles related to the aim of the review. Articles focused on mass-gathering health, provision of in-event health services, ambulance service transportation, and hospital utilization. RESULTS: Twenty-four studies were identified for inclusion in this review. These studies were all case-study-based and retrospective in design. The majority of studies (n=23) provided details of in-event first responder services. There was variation noted in reporting of the number and type of in-event health professional services at mass gatherings. All articles reported that patients were transported to hospital by the ambulance service. Only nine articles reported on patients presenting to hospital. However, details pertaining to the impact on ambulance and hospital services were not reported. CONCLUSIONS: There is minimal research focusing on the impact of mass gatherings on in-event and external health services, such as ambulance services and hospitals. A recommendation for future mass-gathering research and evaluation is to link patient-level data from in-event mass gatherings to external health services. This type of study design would provide information regarding the impact on health services from a mass gathering to more accurately inform future health planning for mass gatherings across the health care continuum. Ranse J , Hutton A , Keene T , Lenson S , Luther M , Bost N , Johnston ANB , Crilly J , Cannon M , Jones N , Hayes C , Burke B . Health service impact from mass gatherings: a systematic literature review. Prehosp Disaster Med. 2017;32(1):71-77.

Impact of an education session on clinical handover between medical shifts in an emergency department: A pilot study.

OBJECTIVE: To evaluate the impact of a medical education session on the implementation of a new change of shift medical clinical handover format in an urban hospital ED. METHODS: This pilot study used a pre- and post-intervention design. The intervention consisted of a 1 h education session to teach a new handover format, SBARM (Situation, Background, Assessment, Recommendation, Medication). Data were collected through observations of doctors performing clinical handover and individual interviews with participants. RESULTS: The educational intervention led to an increased focus on checking medication charts, but had minimal effect on changing other aspects of clinical handover at doctors' change of shift times. Perceived increased time spent on handover using the new system was seen as a major barrier to the implementation of SBARM. The addition of 'M' to 'SBAR' heightened awareness of checking medication and fluid charts. CONCLUSION: Time pressures need to be taken into consideration when introducing changes to current processes. Also, it is recommended that, in addition to ongoing education, senior clinicians are engaged during the planning and execution stages of changes to practice.

Best-practice pain management in the emergency department: A cluster-randomised, controlled, intervention trial.

OBJECTIVES: We aimed to provide 'adequate analgesia' (which decreases the pain score by ≥2 and to <4 [0-10 scale]) and determine the effect on patient satisfaction. METHODS: We undertook a multicentre, cluster-randomised, controlled, intervention trial in nine EDs. Patients with moderate pain (pain score of ≥4) were eligible for inclusion. The intervention was a range of educational activities to encourage staff to provide 'adequate analgesia'. It was introduced into five early intervention EDs between the 0 and 6 months time points and at four late intervention EDs between 3 and 6 months. At 0, 3 and 6 months, data were collected on demographics, pain scores, analgesia provided and pain management satisfaction 48 h post-discharge (6 point scale). RESULTS: Overall, 1317 patients were enrolled. Logistic regression (controlling for site and other confounders) indicated that, between 0 and 3 months, satisfaction increased significantly at the early intervention EDs (OR 2.2, 95% CI 1.5 to 3.4 [P < 0.01]) but was stable at the control EDs (OR 0.8, 95% CI 0.5 to 1.3 [P = 0.35]). Pooling of data from all sites indicated that the proportion of patients very satisfied with their pain management increased from 42.9% immediately pre-intervention to 53.9% after 3 months of intervention (difference in proportions 11.0%, 95% CI 4.2 to 17.8 [P = 0.001]). Logistic regression of all data indicated that 'adequate analgesia' was significantly associated with patient satisfaction (OR 1.4, 95% CI 1.1 to 1.8 [P < 0.01]). CONCLUSIONS: The 'adequate analgesia' intervention significantly improved patient satisfaction. It provides a simple and efficient target in the pursuit of best-practice ED pain management.

Improved outcomes for emergency department patients whose ambulance off-stretcher time is not delayed.

OBJECTIVE: To describe and compare characteristics and outcomes of patients who arrive by ambulance to the ED. We aimed to (i) compare patients with a delayed ambulance offload time (AOT) >30 min with those who were not delayed; and (ii) identify predictors of an ED length of stay (LOS) of >4 h for ambulance-arriving patients. METHODS: A retrospective, multi-site cohort study was undertaken in Australia using 12 months of linked health data (September 2007-2008). Outcomes of AOT delayed and non-delayed presentations were compared. Logistic regression analysis was undertaken to identify predictors of an ED LOS of >4 h. RESULTS: Of the 40 783 linked, analysable ambulance presentations, AOT delay of >30 min was experienced by 15%, and 63% had an ED LOS of >4 h. Patients with an AOT <30 min had better outcomes for: time to triage; ambulance time at hospital; time to see healthcare professional; proportion seen within recommended triage time frame; and ED LOS for both admitted and non-admitted patients. In-hospital mortality did not differ. Strong predictors of an ED LOS >4 h included: hospital admission, older age, triage category, and offload delay >30 min. CONCLUSION: Patients arriving to the ED via ambulance and offloaded within 30 min experience better outcomes than those delayed. Given that offload delay is a modifiable predictor of an ED LOS of >4 h, targeted improvements in the ED arrival process for ambulance patients might be useful.

The impact of a flow strategy for patients who presented to an Australian emergency department with a mental health illness.

OBJECTIVES: To describe and compare characteristics, care delivered, and outcomes of patients who presented to an emergency department (ED) with a mental health illness before and after the implementation of a patient flow strategy. METHODS: This was a retrospective, descriptive study. Health care data of patients who presented to a public teaching hospital ED in Queensland, Australia diagnosed with a mental health illness before (5th September 2011-4th March 2012) and after (5th March 2012-4th September 2012) the implementation of a patient flow strategy were analysed. RESULTS: A total of 3037 (before: n = 1511; after: n = 1526) mental health presentations (4.5% of all ED presentations) were made to the ED. Following the implementation of a patient flow strategy, improvements in ED length of stay, tests performed and nursing observations were seen. These varied by mental health diagnosis. CONCLUSION: Our results indicate that a targeted approach to improving service delivery for a specific cohort of ED patients can make a difference without additional staffing. Further focused refinement of the strategy (such as time waiting for treatment) may be required.

Expanding emergency department capacity: a multisite study.

OBJECTIVES: The aims of the present study were to identify predictors of admission and describe outcomes for patients who arrived via ambulance to three Australian public emergency departments (EDs), before and after the opening of 41 additional ED beds within the area. METHODS: The present study was a retrospective comparative cohort study using deterministically linked health data collected between 3 September 2006 and 2 September 2008. Data included ambulance offload delay, time to see doctor, ED length of stay (LOS), admission requirement, access block, hospital LOS and in-hospital mortality. Logistic regression analysis was undertaken to identify predictors of hospital admission. RESULTS: Almost one-third of all 286037 ED presentations were via ambulance (n=79196) and 40.3% required admission. After increasing emergency capacity, the only outcome measure to improve was in-hospital mortality. Ambulance offload delay, time to see doctor, ED LOS, admission requirement, access block and hospital LOS did not improve. Strong predictors of admission before and after increased capacity included age >65 years, Australian Triage Scale (ATS) Category 1-3, diagnoses of circulatory or respiratory conditions and ED LOS >4h. With additional capacity, the odds ratios for these predictors increased for age >65 years and ED LOS >4h, and decreased for ATS category and ED diagnoses. CONCLUSIONS: Expanding ED capacity from 81 to 122 beds within a health service area impacted favourably on mortality outcomes, but not on time-related service outcomes such as ambulance offload time, time to see doctor and ED LOS. To improve all service outcomes, when altering (increasing or decreasing) ED bed numbers, the whole healthcare system needs to be considered.

Characteristics and process outcomes of patients presenting to an Australian emergency department for mental health and non-mental health diagnoses.

OBJECTIVES: To describe and compare characteristics and process outcomes of patient presentations made to a public hospital emergency department (ED) for mental health (MH) and non-mental health (NMH) diagnoses. METHODS: This was a descriptive, retrospective cross-sectional study of patients who presented to an Australian hospital ED between September 2011 and September 2012. Demographic, clinical and outcomes data were extracted from the ED information system. MH presentations were compared to NMH presentations. RESULTS: Nearly 5% of the 66,678 ED presentations were classified as MH. Compared to the NMH group, a lower proportion in the MH group were seen by a physician within the recommended time frame (39.1% vs. 42.1%, p<0.001); had a higher admission rate (36.6% vs. 20.1%, p<0.001); shorter ED Length of Stay (LoS) if admitted (369 vs. 490min, p<0.001) and longer ED LoS if not admitted (241 vs. 187min, p<0.001). CONCLUSION: Time constraints in the busy ED environment are a potential barrier to the delivery of care for all patients who have the right to timely access to health care. Targeted improvements at the front end of the ED system and output processes between ED, community and inpatient admission are recommended for this site.

A prospective evaluation of missed injuries in trauma patients, before and after formalising the trauma tertiary survey.

OBJECTIVE: This study prospectively evaluated in-hospital and postdischarge missed injury rates in admitted trauma patients, before and after the formalisation of a trauma tertiary survey (TTS) procedure. METHODS: Prospective before-and-after cohort study. TTS were formalised in a single regional level II trauma hospital in November 2009. All multitrauma patients admitted between March-October 2009 (preformalisation of TTS) and December 2009-September 2010 (post-) were assessed for missed injury, classified into three types: Type I, in-hospital, (injury missed at initial assessment, detected within 24 h); Type II, in-hospital (detected in hospital after 24 h, missed at initial assessment and by TTS); Type III, postdischarge (detected after hospital discharge). Secondary outcome measures included TTS performance rates and functional outcomes at 1 and 6 months. RESULTS: A total of 487 trauma patients were included (pre-: n = 235; post-: n = 252). In-hospital missed injury rate (Types I and II combined) was similar for both groups (3.8 vs. 4.8 %, P = 0.61), as were postdischarge missed injury rates (Type III) at 1 month (13.7 vs. 11.5 %, P = 0.43), and 6 months (3.8 vs. 3.3 %, P = 0.84) after discharge. TTS performance was substantially higher in the post-group (27 vs. 42 %, P < 0.001). Functional outcomes for both cohorts were similar at 1 and 6 months follow-up. CONCLUSIONS: This is the first study to evaluate missed injury rates after hospital discharge and demonstrated cumulative missed injury rates >15 %. Some of these injuries were clinically relevant. Although TTS performance was significantly improved by formalising the process (from 27 to 42 %), this did not decrease missed injury rates.

Patients who present to the emergency department and leave without being seen: prevalence, predictors and outcomes.

OBJECTIVE: To identify the prevalence, predictors and outcomes of patients who leave without being seen (LWBS) in one hospital emergency department (ED). MATERIALS AND METHODS: A descriptive, retrospective cohort study design was used. Data were extracted from the ED Information System. Multivariate logistic regression identified independent predictors of patients who LWBS. Two main outcomes were studied: the proportion of patients who waited longer than recommended and the proportion of patients who represented to the ED within 72 h. SETTING: A large regional teaching hospital ED in South East Queensland, Australia. SAMPLE: A total of 64 292 patient presentations made to the ED from 9 August 2008 to 8 August 2009. RESULTS: The prevalence of patients who LWBS was 10.7%. Independent predictors of LWBS included younger age, lower urgency triage category allocation, arrival by means other than ambulance, evening and night shift presentations, winter season, weekend presentations and presenting complaint category of 'gastrointestinal' or 'paediatric'. When compared with patients who waited, those who LWBS comprised higher proportions of waiting longer than recommended (LWBS: 77.2% vs. waited: 52.0%, P<0.001) and higher proportions of representations to ED within 72 h (LWBS: 10.3% vs. waited: 5.4%, P<0.001). CONCLUSION: Outcomes investigated in this study indicate that room for improvement exists not only for patients who LWBS but all patients presenting to the ED. The most powerful predictors of LWBS were lower urgency triage allocation and evening and night shift presentations. This suggests that service improvements could be targeted during 'out of business hours' for those with less emergent conditions.

Patients who presented to an Australian emergency department and did not wait or left against medical advice: a prospective cohort follow-up study.

This study aimed to describe characteristics, outcomes, and post-emergency department (ED) departure medical requirements of patients who did not wait (DNW) or left against medical advice (LAMA) after presenting to an Australian hospital ED over a 6-month period. This was a prospective cohort follow-up study. Children and adults were compared in terms of ED characteristics and outcomes. Of the 32,333 patient presentations, 3,293 (10.2%) were recorded as DNW and 470 (1.5%) as LAMA. Of the DNW/LAMA presentations, 1,303 (34.6%) received a telephone call. One in four of the DNW/LAMA patients were children (<16 years). Most (87%) waited longer than the recommended time before leaving the ED, the majority (56%) sought care elsewhere, and some (n = 174, 13%) re-presented to the ED within 7 days; 20 of those required hospital admission. Strategies addressing front-end ED systems are required to mitigate the proportion of patients who DNW/LAMA.

Clinical handover of patients arriving by ambulance to a hospital emergency department: a qualitative study.

AIM: The aims of this study were to (1) explore the clinical handover processes between ambulance and ED personnel of patients arriving by ambulance at one hospital and (2) identify factors that impact on the information transfer to ascertain strategies for improvement. METHODS: A focused ethnographic approach was used that included participant observation, conversational interviews and examination of handover tools. Participants included ambulance paramedics, nurses and medical practitioners from an ambulance service and regional hospital located in South East Queensland, Australia. Grounded theory methods of constant comparative data analyses were used to generate categories of findings. FINDINGS: Two types of clinical handover were identified: (1) for non-critical patients and (2) for critical patients. Quality of handover appears to be dependent on the personnel's expectations, prior experience, workload and working relationships. Lack of active listening and access to written information were identified issues. CONCLUSION: Clinical handover between two organisations with different cultures and backgrounds may be improved through shared training programmes involving the use of guidelines, tools such as a whiteboard and a structured communication model such as MIST. Future participatory research to evaluate new handover strategies is recommended.

Tertiary survey performance in a regional trauma hospital without a dedicated trauma service.

BACKGROUND: Initial management of trauma patients is focused on identifying life- and limb-threatening injuries and may lead to missed injuries. A tertiary survey can minimise the number and effect of missed injuries and involves a physical re-examination and review of all investigations within 24 h of admission. There is little information on current practice of tertiary survey performance in hospitals without a dedicated trauma service. We aimed to determine the rate of tertiary survey performance and the detail of documentation as well as the baseline rate of missed injuries. METHODS: We performed a retrospective, descriptive study of all multitrauma patients who presented to an Australian level II regional trauma centre without a dedicated trauma service between May 2008 and February 2009. A medical records review was conducted to determine tertiary survey performance and missed injury rate. RESULTS: Of 252 included trauma patients, 20% (n = 51) had a tertiary survey performed. A total of nine missed injuries were detected in eight patients (3.2%). Of the multiple components of the tertiary survey, most were poorly documented. Documentation was more comprehensive in the subgroup of patients who did have a formal tertiary survey. CONCLUSIONS: Tertiary survey performance was poor, as indicated by low documentation rates. The baseline missed injury rate was comparable to previous that of retrospective studies, although in this study an underestimation of true missed injury rates is likely. Implementing a formal, institutional tertiary survey may lead to improved tertiary survey performance and documentation and therefore improved trauma care in hospitals without a dedicated trauma service.

Linking ambulance, emergency department and hospital admissions data: understanding the emergency journey.

OBJECTIVE: To assess the accuracy of data linkage across the spectrum of emergency care in the absence of a unique patient identifier, and to use the linked data to examine service delivery outcomes in an emergency department (ED) setting. DESIGN: Automated data linkage and manual data linkage were compared to determine their relative accuracy. Data were extracted from three separate health information systems: ambulance, ED and hospital inpatients, then linked to provide information about the emergency journey of each patient. The linking was done manually through physical review of records and automatically using a data linking tool (Health Data Integration) developed by the CSIRO (Commonwealth Scientific and Industrial Research Organisation). Match rate and quality of the linking were compared. SETTING: 10,835 patient presentations to a large, regional teaching hospital ED over a 2-month period (August - September 2007). RESULTS: Comparison of the manual and automated linkage outcomes for each pair of linked datasets demonstrated a sensitivity of between 95% and 99%; a specificity of between 75% and 99%; and a positive predictive value of between 88% and 95%. CONCLUSIONS: Our results indicate that automated linking provides a sound basis for health service analysis, even in the absence of a unique patient identifier. The use of an automated linking tool yields accurate data suitable for planning and service delivery purposes and enables the data to be linked regularly to examine service delivery outcomes.

Clinical handover of patients arriving by ambulance to the emergency department - a literature review.

AIM: To provide a critical review of research on clinical handover between the ambulance service and emergency department (ED) in hospitals. METHOD: Data base and hand searches were conducted using the keywords ambulance, handover, handoff, emergency department, emergency room, ER, communication, and clinical handover. Data were extracted, summarised and critically assessed to provide evidence of current clinical handover processes. RESULTS: From 252 documents, eight studies fitted the inclusion criteria of clinical handover and the ambulance to ED patient transfer. Three themes were identified in the review: (1) important information may be missed during clinical handover; (2) structured handovers that include both written and verbal components may improve information exchange; (3) multidisciplinary education about the clinical handover process may encourage teamwork, a shared common language and a framework for minimum patient information to be transferred from the ambulance service to the hospital ED. CONCLUSION: Knowledge gaps exist concerning handover information, consequences of poor handover, transfer of responsibility, staff perception of handovers, staff training and evaluation of recommended strategies to improve clinical handover. Evidence of strategies being implemented and further research is required to examine the ongoing effects of implementing the strategies.

Emergency care workload units: a novel tool to compare emergency department activity.

INTRODUCTION: Funding bodies have traditionally used attendance figures as a way of determining the allocation of funding for resources in the EDs. Using attendance figures only might not accurately reflect the funding and resources required. The need to create an easily implemented tool to compare workload and resources required was identified. Using the Australasian Triage Scale, a tool was developed to estimate staffing requirements and resource use within each ED. This, although currently not validated, provides a promising start in finding a way to accurately determine ED workload. METHODS: Existing data on patient acuity, disposition, numbers of patients and the individual costing of each presentation was used to estimate and define the workload of an ED in emergency care workload units (ECWU). The tool is applied to six de-identified hospitals within Queensland to demonstrate its potential use for equitable budget and staffing allocation. RESULTS: The tool was applied to a selection of de-identified EDs within Queensland hospitals. An increased number of ECWU is generated for a patient with a more urgent triage category reflecting a higher resource consumption and workload. DISCUSSION: Although a few studies have been completed in Canada linking workload, resource consumption and cost to triage category, this tool will need to be validated before its use can be fully appreciated. CONCLUSION: This tool provides a simple method to calculate equitable distribution of staffing and budget allocation based on workload across the different EDs within Australia.

A comparison of activities undertaken by enrolled and registered nurses on medical wards in Australia: an observational study.

BACKGROUND: The past decade has seen increasing patient acuity and shortening lengths of stays in acute care hospitals, which has implications for how nursing staff organise and provide care to patients. OBJECTIVE: The aim of this study was to describe the activities undertaken by enrolled nurses (ENs) and registered nurses (RNs) on acute medical wards in two Australian hospitals. DESIGN: This study used structured observation, employing a work sampling technique, to identify the activities undertaken by nursing staff in four wards in two hospitals. Nursing staff were observed for two weeks. The data collection instrument identified 25 activities grouped into four categories, direct patient care, indirect care, unit related activities and personal activities. SETTING: Two hospitals in Queensland, Australia. RESULTS: A total of 114 nursing staff were observed undertaking 14,528 activities during 482h of data collection. In total, 6870 (47.3%) indirect, 4826 (33.2%) direct, 1960 (13.5%) personal and 872 (6.0%) unit related activities were recorded. Within the direct patient care activities, the five most frequently observed activities (out of a total of 10 activities) for all classifications of nursing staff were quite similar (admission and assessment, hygiene and patient/family interaction, medication and IV administration and procedures), however the absolute proportion of Level 2 RN activities were much lower than the other two groups. In terms of indirect care, three of the four most commonly occurring activities (out of a total of eight activities) were similar among groups (patient rounds and team meetings, verbal report/handover and care planning and clinical pathways). The six unit related activities occurred rarely for all groups of nurses. CONCLUSION: This study suggests that similarities exist in the activities undertaken by ENs and Level 1 RNs, supporting the contention that role boundaries are no longer clearly delineated.

The effectiveness of a 15 minute weekly massage in reducing physical and psychological stress in nurses.

OBJECTIVE: To investigate the effectiveness of massage therapy in reducing physiological and psychological indicators of stress in nurses employed in an acute care hospital. DESIGN: Randomised controlled trial. SETTING: Acute care hospital in Queensland. SUBJECTS: Sixty nurses were recruited to the five week study and randomly assigned to two groups. INTERVENTION: A 15 minute back massage once a week. The control group did not receive any therapy. MAIN OUTCOME MEASURES: Demographic information, a life events questionnaire and a brief medical history of all participants was completed at enrolment. Physiological stress was measured at weeks one, three and five by urinary cortisol and blood pressure readings. Psychological stress levels were measured at weeks one and five with the State-Trait Anxiety Inventory (STAI). RESULTS: Differences in the change in urinary cortisol and blood pressure between the two groups did not reach statistical significance. However, STAI scores decreased over the five weeks for those participants who received a weekly massage. The STAI scores of the control group increased over the five week period. These differences between the groups were statistically significant. CONCLUSION: The results of this study suggest that massage therapy is a beneficial tool for the health of nurses as it may reduce psychological stress levels. It is recommended that further large studies be conducted to measure the symptoms of stress rather than the physiological signs of stress in nurses.