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Suzanne Mason, reader in emergency medicine1, Emma Knowles, research fellow1, Brigitte Colwell, research associate1, Simon Dixon, senior lecturer3, Jim Wardrope, consultant in emergency medicine2, Robert Gorringe, lead emergency care practitioner4, Helen Snooks, professor of health services research5, Julie Perrin, nurse consultant in emergency medicine2, Jon Nicholl, professor1
1 Health Services Research, School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, 2 Department of Emergency Medicine, Sheffield Teaching Hospitals Trust, Sheffield S5 7AU, 3 Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, 4 South Yorkshire Ambulance Service, Rotherham S60 2BQ, 5 Centre for Health Information Research and Evaluation, School of Medicine, Swansea University, Swansea SA2 8PP
Correspondence to: S Mason s.mason@sheffield.ac.uk
Design Cluster randomised controlled trial involving 56 clusters. Weeks were randomised to the paramedic practitioner service being active (intervention) or inactive (control) when the standard 999 service was available.
Setting A large urban area in England.
Participants 3018 patients aged over 60 who called the emergency services (n=1549 intervention, n=1469 control).
Main outcome measures Emergency department attendance or hospital admission between 0 and 28 days; interval from time of call to time of discharge; patients' satisfaction with the service received.
Results Overall, patients in the intervention group were less likely to attend an emergency department (relative risk 0.72, 95% confidence interval 0.68 to 0.75) or require hospital admission within 28 days (0.87, 0.81 to 0.94) and experienced a shorter total episode time (235 v 278 minutes, 95% confidence interval for difference –60 minutes to –25 minutes). Patients in the intervention group were more likely to report being highly satisfied with their healthcare episode (relative risk 1.16, 1.09 to 1.23). There was no significant difference in 28 day mortality (0.87, 0.63 to 1.21).
Conclusions Paramedics with extended skills can provide a clinically effective alternative to standard ambulance transfer and treatment in an emergency department for elderly patients with acute minor conditions.
Trial registration ISRCTN27796329 [controlled-trials.com] .
Paramedics can be trained to assess and treat or refer patients with a range of conditions such as wounds,4 hypoglycaemia,5 falls, and epistaxis.6 The merits of a pre-hospital practitioner working in certain geographical areas such as rural locations in fulfilling a broader public health and primary care outreach role in the local community have also been discussed.7 Other authors, however, have cast doubt on the safety, feasibility, and cost effectiveness of paramedics assessing and treating apparently minor problems in the community.8 9
Elderly people make 12-21% of visits to emergency departments. Many of them attend after an accident or fall.10 11 Recently completed studies suggest that an alternative approach to an emergency ambulance response would have the greatest chance of improving patients' experience, as well as potentially helping to reduce demand, if it was targeted at elderly patients with minor complaints.12 13
The South Yorkshire Ambulance Service developed the paramedic practitioner in older people's support (PPOPS) scheme to deliver patient centred care to elderly people who call the emergency services with conditions triaged as not immediately life threatening. Practitioners underwent a three week full time theory based course with lectures from specialists in emergency medicine or care of the elderly. They spent a period of 45 days in supervised practice.
Seven experienced paramedics were selected through open competition and completed the training course to enable them to provide community based clinical assessment for patients aged over 60 who contacted the emergency ambulance service with minor acute conditions. Initial assessment and, when appropriate, treatment was delivered within the patient's residence by an individual paramedic practitioner who responded to emergency calls. When the paramedic practitioner deemed it necessary, patients were transported to an emergency department for further assessment or treatment such as radiological investigation.14 The box outlines the scope of practice.
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Operational between the hours of 8am and 8pm each day, the service was activated by a 999 call or an urgent call from a general practitioner to the ambulance control room or from an ambulance crew attending an eligible patient.
We conducted a cluster randomised controlled trial to evaluate the effectiveness and safety of this new service.
Before the trial we carried out a four week pilot study to establish the number of weeks needed to complete recruitment and to test data collection methods.
Principal outcomes in the study protocol were attendance at emergency department and hospital admission between 0 and 28 days, interval from time of call to time of discharge, and patients' satisfaction with the service received. Secondary outcomes were investigations and treatments prescribed, subsequent use of health services within 28 days, and health status and mortality at 28 days.
Recruitment of patients
During each week, a paramedic practitioner based in the ambulance control room identified eligible calls by the presenting complaint and notified a paramedic practitioner in the community (during intervention weeks) or in the emergency department (during control weeks). All identified patients were approached face to face either in the community or in the emergency department for written consent to follow-up. To avoid unnecessary burden on participants, patients who had more than one eligible episode were recruited only for their first episode.
If patients were unable to complete questionnaires—for example, because of cognitive impairment or who were unable to read English—we obtained consent for follow-up by review of clinical records only.
The research team independently checked the ambulance service call database at the end of each month for any additional eligible calls not identified by the paramedic practitioners at the time of the incident. We noted patients identified retrospectively to check for selection bias but did not follow them up.
Data collection
Routine data
The research team used the emergency department or ambulance service records to collect clinical data, including investigations, treatment, diagnoses, and discharge from the service, relating to the initial patient episode. Total episode time was derived by calculating the interval between the time the initial call was received in the ambulance control room to the time that the patient left the emergency department, was admitted to hospital, or, if the patient was discharged in to the community, the time that the paramedic practitioner or ambulance crew left the scene. These times therefore included any time spent waiting for assessment in the emergency department.
We used hospital records to collect information about unplanned hospital attendances or admissions within Sheffield in the 28 days after the initial episode and mortality at 28 days. Information relating to subsequent ambulance requests was collected from the local ambulance service. Attendance at an emergency department or hospital admission on day 0 was combined with any unplanned attendances at an emergency department or admissions in the 28 days that followed to provide information on overall unplanned use of hospital services.
Survey of patients
Follow-up was by postal questionnaire at three and 28 days after the incident. The three day questionnaire asked patients about examinations, treatments, advice, and satisfaction with the service they had received. One of our primary outcome measures of patients' satisfaction was based on one question asking about overall satisfaction with the care received during the initial episode and was measured on a five point scale.
The 28 day questionnaire contained items on subsequent use of health services relating to the incident and perceived change in physical health and included the general health status measure, the EQ-5D.15
Sample size
We calculated our sample size on the basis of four primary outcomes: satisfaction with care, attendance at emergency department, hospital admission, and total episode time. The number of primary outcomes reflects the importance of considering different aspects of the impact of service delivery on patients and services in a pragmatic multi-dimensional study. If, as we expected, there is no clustering of data in relation to these outcomes within weeks, we needed about 1100 patients in each group to have an 80% chance of detecting as significant at the 5% level a 5% change in the proportion of "very satisfied" patients. If there is clustering, with an intraclass cluster correlation of 0.02 and 40 patients per cluster, this sample size gives 80% power to detect a difference of 75% versus 82%. If we ignore the clustering, this sample size also gives 80% power to detect a change of 4% in the proportion of patients attending the emergency department, a change of 6% in the proportion of patients admitted, and a difference of 20 minutes in the mean total episode time (assuming an SD of 180 minutes).
On the basis on the results of the four week pilot study, to recruit two sets of 1100 patients to follow-up we randomly allocated 52 weeks, later extended to 56 weeks, to achieve the sample size. The 56 weeks were randomly allocated in an unrestricted design into control (n=26) and intervention (n=30) weeks.
Statistical analysis
Analysis was by randomisation, on an intention to treat basis, irrespective of the actual service received. During the intervention weeks, identified patients should have received an assessment by a paramedic practitioner in the community. This was not always possible if a paramedic practitioner was busy assessing another case when an eligible call was received. Such patients were attended by a standard emergency ambulance response and, according to ambulance service protocols, should have been taken to the emergency department by ambulance unless they refused transport. During the control weeks, identified patients were attended and treated according to standard practice as described above.
SPSSv.12 was used for initial statistical analysis of baseline differences between groups. Data were then exported to STATAv.8.0 to enable analysis at a cluster level.16 Generalised estimating equations were used to correct the standard errors of control and intervention comparisons for the effect of any correlation within weeks. To allow for a proper estimation of a relative risk, we used a Poisson error distribution with a robust standard error.17 18
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There were no differences between groups in terms of demographics or presenting complaint (table 3)
. The presenting complaint was identified as the primary complaint allocated by the call taker to the call that initiated the ambulance response.
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Patients in the intervention group, however, were more likely to have subsequent unplanned contact with secondary care services, such as the ambulance service, emergency department, or hospital admission, in the 28 days after their initial episode (excluding the initial contact on day 0) (21.3% v 17.6%, P<0.01). They we also less likely to report that their physical health had worsened compared with those in the control group (21.7% v 25.6%, P=0.13). The EQ-5D revealed no significant differences in health outcomes between the two groups.
In the 28 days after their initial episode 142 (4.7%) patients died. There were no significant differences between the two groups in terms of mortality.
More than a quarter (29.6%, n=459) of patients in the intervention group did not receive the paramedic practitioner service. These patients therefore received the "normal service" but were still included in the "intervention" group as the results were analysed on a pragmatic intention to treat basis, reflecting the outcomes that could be expected were the intervention to be introduced more widely, and standard for the reporting of the results of health services research.20 This had the effect of considerably weakening the impact of the intervention.
The patients in this trial were categorised as having "minor" conditions at their initial contact with the emergency services. The most common presenting complaint was a fall. Within 28 days of the initial call, however, over 40% had required a hospital admission and 5% had died. This highlights the high risk nature of this group of patients. None the less, the service seemed to manage the risk appropriately and identify a group of patients who benefited from management at home.
There is increasing strategic pressure within the NHS to extend this type of approach. In 2003, the changing workforce programme, part of the NHS modernisation agency and the Department of Health, set up 17 initial emergency care practitioner pilot sites. These practitioners are mainly paramedics who receive extended skills training, as did the paramedic practitioners in this study (although for a shorter time period). More work is required to enable identification of patients who can benefit from this level of care rather than a full assessment in an emergency department.21 22 Some emergency care practitioner schemes are targeted at different populations and operate in different ways and thus the results of this study may not be fully transferable.
Limitations
This large open pragmatic trial has some limitations because of differences in recruitment of patients and response rates to follow-up questionnaires between the groups. In particular, the measurement of patients' satisfaction depended on receipt of a three day follow-up questionnaire. Of the 3996 patients randomised to the trial, only 2293 agreed to receive a questionnaire. This was mainly because of the proportion of patients with cognitive impairment, who we excluded from this part of the study. Of the 2293 patients, 1482 (64.6%) responded, which is less than the number we calculated we needed (n=2200). The effects on the primary outcomes (hospital attendance and admission, episode times, and satisfaction), however, were all significant and sufficiently large for us to be confident that the effects are real.
The study was conducted in one large urban area of the UK. Therefore the generalisability of these results should be treated with some caution. We think that there is nothing unique about the patients or presenting complaints. Other health communities could replicate this model, and we are aware of similar services being set up in the UK and abroad. This does require major cooperation between organisations and considerable training and operational costs.
We acknowledge that there may have been some clustering at a practitioner level. Though our study was designed specifically to assess clustering by week, statistical software does not allow for cluster analysis of two variables simultaneously so we could not analyse clustering at a practitioner level.
Summary
Paramedics with extended skills working in the community can provide a clinically effective alternative to standard ambulance transfer and treatment in an emergency department for elderly patients with acute minor conditions.
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Competing interests: None declared.
Ethical approval: North Sheffield research ethics committee.
Provenance and peer review: Not commissioned; externally peer reviewed.
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