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Trial registered on ANZCTR
Registration number
ACTRN12616000823471
Ethics application status
Approved
Date submitted
15/06/2016
Date registered
23/06/2016
Date last updated
23/06/2016
Type of registration
Retrospectively registered
Titles & IDs
Public title
Effectiveness of an emergency nurse practitioner service for adults presenting to rural hospitals with chest pain
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Scientific title
Effectiveness of an emergency nurse practitioner service for adults presenting to rural hospitals with chest pain: a multicentre, longitudinal nested cohort study
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Secondary ID [1]
289434
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none
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Universal Trial Number (UTN)
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Trial acronym
MaP-RED
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Chest Pain
299120
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Condition category
Condition code
Public Health
299140
299140
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0
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Health service research
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Cardiovascular
299230
299230
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0
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Coronary heart disease
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
The independent variable is the service model involved in the management of patients presenting with undifferentiated chest pain - either ENP service or standard care model. In both models all clinicians work collaboratively and within their designated scope of practice.
For the purpose of this study the ENP model is operationally defined as follows:
* Emergency nurse practitioner model: The ENP manages the patient presenting with undifferentiated chest pain. The ENP delivers and coordinated care in the diagnosis, investigation, therapeutic treatment (including prescribing of medications and technical interventions) and referral. In this model ED nursing staff work with the ENP in providing nursing care to the patient.
As this research is an observational study, there will be no allocation of intervention; rather the care delivery model will follow the standard method of patient allocation. The current practice at these facilities involves the use of the Australasian Triage Scale to ensure that patients are treated in order of clinical urgency. The next available clinician (ENP or medical officer) is responsible for providing care to patients in order of clinical urgency. Medical and ENP service is provided in and out of hours.
At the index presentation, presenting patients who meet the inclusion criteria will be identified by the triage nurse or the treating clinician and invited to participate in the study. Participation in this research will involve the completion of a patient questionnaire at baseline, the researcher’s use of routinely collected data and completion of follow-up patient questionnaire. Potential participants will receive information and consent package, explaining the purpose of the research and procedures involved in completing the study. Trained research assistants will explain the study, enrol eligible consenting patients and assist with the completion of a baseline questionnaire. Patients will be advised that they may decline to engage in the study or withdraw from participation at any time without disadvantage.
Follow-up patient data was collected once only at 30-days after the initial presentation to ED.
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Intervention code [1]
295026
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Not applicable
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Comparator / control treatment
For the purpose of this study the standard care model is operationally defined as follows:
* Standard care model: In this traditional model, all care for the patient presenting with undifferentiated chest pain is delivered and coordinated by a medical officer. In this model ED nursing staff work with the medical officer in providing nursing care to the patient.
In both models all clinicians work collaboratively and within their designated scope of practice.
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Control group
Active
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Outcomes
Primary outcome [1]
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Adherence to evidence based guidelines for management of patients presenting with suspected or confirmed acute coronary syndrome
Data were collected from the participant’s medical record using a tool that was designed for the study. The tool uses criteria from the Clinical Pathway currently in use in Queensland Health facilities. These clinical pathways are used in all participating study sites and are based upon the best practice recommendations of the National Heart Foundation/Cardiac Society of Australia and New Zealand Guidelines for suspected or confirmed acute coronary syndromes (Chew et al., 2011). Data were collected to evaluate clinician’s adherence to evidence-based guidelines, including pharmacological management, risk stratification and referral strategies. Where data were missing from the medical record (eg, evidence of administration of aspirin was not recorded) the intervention was assumed not to have occurred. For the purposes of this study, cardiac biomarker testing that occurs at any time during the ED stay was assessed as being ‘on arrival’ and in accordance with current guidelines.
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Assessment method [1]
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Timepoint [1]
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Data were collected at the time of participant's discharge from the emergency department.
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Secondary outcome [1]
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Diagnostic accuracy of ECG interpretation
A copy of the participant’s ECG/s was collected at the completion of the ED occasion-of-service. A blinded assessor who has specialist qualifications in emergency medicine examined the treating clinician’s interpretation of the diagnostic ECG for diagnostic accuracy.
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Assessment method [1]
324775
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Timepoint [1]
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Data were collected at the time of participant's discharge from the emergency department.
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Secondary outcome [2]
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Service indicator of waiting time
Data abstraction tool for study cohort: A tool that utilises routinely collected data was developed for the study. Data collected includes Australasian Triage Score, treating clinician category, diagnosis at discharge and discharge destination, service indicators including waiting time, length-of-stay, did-not-wait and unplanned representations was also collected.
Descriptive statistics were used to present data for waiting time. Data were compared between service models and tested for significance using the Mann Whitney U test.
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Assessment method [2]
324776
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Timepoint [2]
324776
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Data were collected at the time of participant's discharge from the emergency department.
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Secondary outcome [3]
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Diagnostic accuracy as measured by rates of unplanned representation within seven-days.
Data were collected on unplanned representation by review of the electronic patient management system.
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Assessment method [3]
324777
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Timepoint [3]
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Seven-days after index presentation
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Secondary outcome [4]
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Satisfaction with care
Patient-reported outcomes questionnaire: This study used an adaptation of the patient outcomes tools that were developed and/or incorporated from published work for the AusPrac Study (Gardner et al., 2010).
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Assessment method [4]
324778
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Timepoint [4]
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Data were collected at the completion of the occasion-of-service with repeated measure 30-days after index presentation.
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Secondary outcome [5]
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Quality-of-life and functional status (composite outcome)
With permission of the authors, this study adapted the AusPrac patient outcomes scales to assess quality of life and functional status. Functional health and well-being were measured using the SF-12 Registered Trademark. Permission to use this instrument for the study has been provided by the copyright holder.
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Assessment method [5]
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Timepoint [5]
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Baseline with repeated measure 30-days after index presentation
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Secondary outcome [6]
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Service outcome of length-of-stay
Data abstraction tool for study cohort: A tool that utilises routinely collected data was
developed for the study. Data collected includes Australasian Triage Score, treating clinician category, diagnosis at discharge and discharge destination, service indicators including waiting time, length-of-stay, did-not-wait and unplanned representations was also collected.
Descriptive statistics were used to present data for length-of-stay. Data were compared between service models and tested for significance using the Mann Whitney U test.
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Assessment method [6]
325036
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Timepoint [6]
325036
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Data were collected at the time of participant's discharge from the emergency department.
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Eligibility
Key inclusion criteria
Patients with chest pain who present participating EDs during the data collection period will be eligible for recruitment, if they:
1. Are at least 18-years old;
2. Have chest pain that is not the result of an acute injury;
Are capable (or have a legally acceptable representative) of providing informed consent
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
Traumatic chest pain; not able to provide consent
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Study design
Purpose
Natural history
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Duration
Longitudinal
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Selection
Defined population
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Timing
Prospective
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Statistical methods / analysis
The conventional 5% level of statistical significance will be used. All analyses will be conducted using de-identified patient data using SPSS software (IBM SPSS Statistics) V.22.
* Structural characteristics of the ENP service model: Descriptive statistics will be used to summarise the data for structural characteristics of the ENP service model. Categorical data will be displayed as a proportion for each of the components of the survey.
* Patient Demographic and clinical data: Baseline characteristics potentially associated with study outcomes (age, gender, education level, employment, ATSI status, previous health service usage) will be reported separately for each service model. The data collected will be analysed using descriptive statistics. Dichotomous and nominal data will be displayed as a proportion; comparison of clinical data will be examined and tested for significance using the chi-square test.
* Service indicators and unplanned representation within 7 days: Descriptive statistics will be used. Continuous data will be used for analysis of waiting times and length-of-stay. Normally distributed data will report means and standard deviations; comparisons between service models will be examined using the unpaired t-test. Data not normally distributed will be analysed using medians and IQR; comparisons between the two models will be tested for statistical significance using the Mann-Whitney test. The dichotomous data for unplanned representations will be displayed as an odds-ratio (OR); comparison between the service models will be examined and tested for significance using the chi-square test.
* Adherence to evidence-based guidelines: Descriptive statistics will be used to summarise the adherence to guidelines for patients with suspected or confirmed ACS. A blinded assessor who has specialist qualifications in emergency medicine will undertake independent interpretation of ECGs, which will be compared to the clinician’s interpretation. Dichotomous data will be displayed as a percentage of agreement proportion; comparisons between the service models will be examined and tested for significance using McNemar’s test.
* Patient-reported outcomes: Data will be summarized and measures of distribution for patient-reported health outcomes will be conducted. Nominal and ordinal data collected for analysis of patient satisfaction will be displayed as a proportion; comparisons between the two service models will be examined and tested for significance using the chi-square test. The data for the SF-12 Registered Trademark summary scores will be managed and analysed according to the guidelines from the SF tools and will be reported using means and standard deviations (for normally distributed data) or medians and IQR (for not normally distributed data). Comparisons between the service models will be tested for statistical significance. Regression analyses will evaluate the associations between functional status and other influencing factors.
The sample size calculations were based on 80% power and a type I error rate (two-sided) of 0.05. Sample size estimation was calculated for the nested cohort that will be used to evaluate the primary outcome of use of evidence based guidelines for patients with cardiac-related chest pain. This calculation was based on 1) perusal of prior research studies together with unpublished local data to determine the rate of protocol compliance expected in cardiac chest pain patients at an estimated 50%, 2) the proportion of cardiac chest pain patients who were seen by ENPs was identified as 25% and 3) the difference in protocol compliance between ENPs and doctors is expected to be larger than 20%. The sample size calculated for the primary outcome cohort study under these assumptions is 384 patients with cardiac related chest pain with an odds ratio of 2.25.
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Recruitment
Recruitment status
Stopped early
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Data analysis
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Reason for early stopping/withdrawal
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Date of first participant enrolment
Anticipated
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Actual
25/11/2014
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Date of last participant enrolment
Anticipated
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Actual
9/02/2016
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
384
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Accrual to date
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Final
62
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Recruitment in Australia
Recruitment state(s)
QLD
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Recruitment hospital [1]
5979
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Stanthorpe Hospital - Stanthorpe
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Recruitment hospital [2]
5980
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Warwick Hospital - Warwick
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Recruitment hospital [3]
5981
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Kingaroy Hospital & Community Health Centre - Kingaroy
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Recruitment postcode(s) [1]
13401
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4380 - Stanthorpe
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Recruitment postcode(s) [2]
13402
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4370 - Warwick
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Recruitment postcode(s) [3]
13403
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4610 - Kingaroy
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Funding & Sponsors
Funding source category [1]
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University
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Name [1]
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Queensland University of Technology
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Address [1]
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Victoria Park Road
Kelvin Grove Queensland 4059
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Country [1]
293845
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Australia
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Primary sponsor type
University
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Name
Queensland University of Technology
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Address
Victoria Park Road
Kelvin Grove Queensland 4059
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
292683
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Address [1]
292683
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Country [1]
292683
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Queensland Health Human Research Ethics Committee
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Ethics committee address [1]
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Darling Downs Hospitals and Health Services PO Box 405 Toowoomba Queensland 4350
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Ethics committee country [1]
295251
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Australia
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Date submitted for ethics approval [1]
295251
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21/07/2014
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Approval date [1]
295251
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28/08/2014
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Ethics approval number [1]
295251
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HREC/14/QHC\30
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Ethics committee name [2]
295253
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Queensland University of Technology Human Research Ethics Committee
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Ethics committee address [2]
295253
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Ethics committee country [2]
295253
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Date submitted for ethics approval [2]
295253
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28/08/2014
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Approval date [2]
295253
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15/10/2014
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Ethics approval number [2]
295253
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1400000709
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Summary
Brief summary
The overall aims of this study were to examine the effectiveness of the rural ENP service model. Specific aims were to: i) Examine the safety and quality of the ENP service model in the provision of care in the rural environment, and ii) Evaluate the effectiveness of ENP service in the management of patients presenting with undifferentiated chest pain. In order to achieve the study aims we investigated several outcomes in order to address the following research questions: * What are the health service structures that influence the ENP delivery of safe, quality care for patients presenting to rural EDs with chest pain? * Are the processes of care for patients who present to rural EDs with chest pain equivalent for patients managed by an ENP service to those managed in the standard model of care? * Are the comparative outcomes for patients who present to rural EDs with chest pain equivalent for patients managed by an ENP service to those managed in the standard model of care? To address the research questions the following null hypotheses were tested: Hypothesis One – Primary outcome For patients presenting to rural emergency departments with suspected or confirmed acute coronary syndrome who are managed by the ENP service or standard medical care, there will be no difference in: (i) Use of evidence based guidelines for management of care as measured by the extent to which this is demonstrated in the clinical record and, (ii) Diagnostic accuracy as measured by accuracy of electrocardiogram (ECG) interpretation. Hypothesis Two For patients presenting to rural emergency departments with undifferentiated chest pain who are managed by an ENP or standard medical care, there will be no difference in: (i) Service indicators of a. Median waiting times b. Overall Length-of-stay in the emergency department for all patients presenting with chest pain c. Did-not-wait rates (ii) Diagnostic accuracy as measured by rates of unplanned representation within seven-days Hypothesis Three For patients presenting to rural emergency departments with undifferentiated chest pain who are managed by ENP service or standard care there will be no difference in levels of patient-reported outcomes related to: i) Satisfaction with care ii) Quality-of-Life (QoL) iii) Functional status
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Trial website
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Trial related presentations / publications
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Public notes
The major limitation of our study is the small sample size. We initially expected to include a much greater number of participants; however, patient recruitment was fraught with difficulty. A multisite strategy was utilised for this study as a measure to increase sample size to ensure that the research was completed in a reasonable time frame by decreasing patient recruitment time. Medical students and nurses working at each site were invited to participate as research assistants for the project. Whilst rural clinicians were enthusiastic to be involved in this research there were no staff who had previously been involved the research processes for a cohort study. The consequence of this approach was that it proved difficult to provide support local research champions because of the distance between study sites made onsite support prohibitive in terms of cost and time constraints. Despite this, the greatest impedance to increased patient recruitment was the difficulties experienced in balancing service delivery with research requirements. Although the concept of using medical students and nurses as research assistants seemed the most feasible method to recruit patients at each site, invariably in the resource poor rural areas these staff were front-line clinicians with busy workloads. This meant that by incorporating research processes into service delivery there was competing responsibilities with the timely delivery of patient care, especially when potentially acutely unwell like those patients presenting with undifferentiated chest pain. Consideration was given toward performing a retrospective power calculation but the idea was rejected in order to ensure research fidelity. Data analysis was performed as published in the study protocol that was previously published.
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Contacts
Principal investigator
Name
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Mrs Tina Roche
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Address
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C/O Professor Glenn Gardner
Queensland University of Technology
Victoria Park Road
Kelvin Grove 4059
Queensland
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Country
66662
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Australia
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Phone
66662
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+61 400 835 229
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Fax
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Email
66662
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[email protected]
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Contact person for public queries
Name
66663
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Tina Roche
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Address
66663
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C/O Professor Glenn Gardner
Queensland University of Technology
Victoria Park Road
Kelvin Grove 4059
Queensland
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Country
66663
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Australia
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Phone
66663
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+61 7 4683 3498
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Fax
66663
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Email
66663
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[email protected]
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Contact person for scientific queries
Name
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Tina Roche
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Address
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C/O Professor Glenn Gardner
Queensland University of Technology
Victoria Park Road
Kelvin Grove 4059
Queensland
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Country
66664
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Australia
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Phone
66664
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+61 7 4683 3498
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Fax
66664
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Email
66664
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[email protected]
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No information has been provided regarding IPD availability
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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