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Val Lattimer a Health Care Research Unit, Wessex Institute for Health
Research and Development, b Primary Medical Care, c Medical Statistics and
Computing, d School of
Nursing
Correspondence to: Dr S George, University of Southampton
Health Care Research Unit, Mailpoint 805, Level B, South Academic
Block, Southampton General Hospital, Southampton SO16 6YD
pluto{at}soton.ac.uk
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Abstract |
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Objective To determine the safety and effectiveness
of nurse telephone consultation in out of hours primary care by investigating adverse events and the management of calls.
Design Block randomised controlled trial over a year
of 156 matched pairs of days and weekends in 26 blocks. One of each
matched pair was randomised to receive the intervention.
Setting One 55 member general practice cooperative
serving 97 000 registered patients in Wiltshire.
Subjects All patients contacting the out of hours
service or about whom contact was made during specified times over the
trial year.
Intervention A nurse telephone consultation service
integrated within a general practice cooperative. The out of hours period was 615 pm to 1115 pm from Monday to Friday,
1100 am to 1115 pm on Saturday, and 800 am to
1115 pm on Sunday. Experienced and specially trained nurses
received, assessed, and managed calls from patients or their carers.
Management options included telephone advice; referral to the general
practitioner on duty (for telephone advice, an appointment at a primary
care centre, or a home visit); referral to the emergency service or
advice to attend accident and emergency. Calls were managed with the
help of decision support software.
Main outcome measures Deaths within seven days of a
contact with the out of hours service; emergency hospital admissions within 24 hours and within three days of contact; attendance at accident and emergency within three days of a contact; number and
management of calls in each arm of the trial.
Results 14 492 calls were received during the
specified times in the trial year (7308 in the control arm and 7184 in the intervention arm) concerning 10 134 patients (10.4% of the registered population). There were no substantial differences in the
age and sex of patients in the intervention and control groups, though
male patients were underrepresented overall. Reasons for calling the
service were consistent with previous studies. Nurses managed 49.8% of
calls during intervention periods without referral to a general
practitioner. A 69% reduction in telephone advice from a general
practitioner, together with a 38% reduction in patient attendance at
primary care centres and a 23% reduction in home visits was observed
during intervention periods. Statistical equivalence was observed in
the number of deaths within seven days, in the number of emergency
hospital admissions, and in the number of attendances at accident and
emergency departments.
Conclusions Nurse telephone consultation produced
substantial changes in call management, reducing overall workload of
general practitioners by 50% while allowing callers faster access to
health information and advice. It was not associated with an increase
in the number of adverse events. This model of out of hours primary
care is safe and effective.
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Key messages
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Introduction |
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Increasing demands for out of hours care during the past two decades have placed the system of 24 hour care of patients by general practitioners under considerable strain. 1 2 Recent developments in the delivery of primary medical care include the setting up of cooperatives of general practitioners and primary care emergency centres, which reduce the number of hours a general practitioner spends on call or facilitate arrangements for seeing patients. Other options include giving advice to patients over the telephone. Marsh reported in 1987 that 59% of all calls outside normal working hours to two general practitioners over a year could be managed by telephone advice alone, and a recent study in Denmark showed that the introduction of a dedicated telephone service run by general practitioners doubled the proportion of calls that were handled by telephone advice. 3 4 None of these interventions, however, reduces the overall workload in terms of patient consultations. The number of patients managed remains the same across the totality of general practitioners. One could wonder why the care of patients after surgery hours has remained primarily the responsibility of general practitioners when care during the daytime is covered by a primary healthcare team.
During nurse telephone consultation experienced and specially trained nurses receive, assess, and manage incoming calls to general practices after surgery hours.5 This term is preferred to nurse telephone triage as it indicates that the call management options include the provision of information and advice with reference to agreed guidelines, as well as referral to the general practitioner on call and direct contact with the ambulance service. In Canada, the United States, and Scandinavia a range of nurse telephone consultation services has been established.6-8 In the United Kingdom a new advice and information service, NHS Direct, was announced in the recent white paper A New NHS.9 It will exceed the expectations of a service designed to manage emergency calls outlined in the chief medical officer's report of 199710 in providing clinical advice, general information, and referral to other NHS services. Three pilot lines for NHS Direct started in March 1998, and England is to be covered by 2000.
North American and British literature on the safety and effectiveness of telephone consultation is limited. Some studies point to the inadequacy of observed telephone encounters between health professionals and callers and highlight the potential for missed cases,11-18 while others report more favourably. 19 20
Our survey of general practitioners in 1996 showed that not all were convinced of the safety of nurse telephone consultation, although the idea was acceptable to most.21 The main concern, again, was the risk of "missed cases." The effectiveness and safety of nurse telephone consultation in primary care had yet to be established in the United Kingdom. To address this issue a randomised controlled trial was required, and as a precursor to such a trial we undertook a pilot study for six weeks to establish the feasibility and acceptability of such a service to patients.22 During this study we established that most calls were to be expected during the evening. The full trial started on 23 January 1997 at 615 pm and ended on 20 January 1998 at 1115 pm. A night telephone consultation service was run for a month during the trial and is being analysed separately. We report the overall safety of nurse telephone consultation during the trial and its effects on general practitioners' and hospitals' workload.
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Methods |
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Setting
We provided an out of hours telephone consultation service
run by nurses for a general practice cooperative in Wiltshire of 55 general practitioners (19 practices) with a combined practice population of 97 000 patients, or roughly the optimum size for a new
primary care group. The geographical area covered is about 290 km2. It includes the city of Salisbury but is otherwise
predominantly rural. The setting was chosen not only because of the
enthusiasm of local general practitioners to take part in the trial but
because its geography means that most patients attend a single accident and emergency department and are admitted as emergencies to one hospital, Odstock Hospital in Salisbury, making the monitoring of
attendances and admissions comparatively straightforward. The out of
hours period was defined as 615 pm to 1115 pm from
Monday to Friday, 1100 am to 1115 pm on Saturday, and
800 am to 1115 pm on Sunday.
Objectives
The objective of many trials is to show that one
treatment is significantly better than another, but the objective of
some trials is to show that two treatments are equally
effective.23 The principal objective of this trial, and
that used in determining its power, was to establish whether there was
equivalence in the number of adverse events generated by a general
practice cooperative augmented by nurse consultation compared with
a standard cooperative service. A secondary objective was to collect
data on the management of calls and on emergency hospital admissions
and attendances at accident and emergency departments among those who
had contacted the out of hours service.
Sample size
We had few data on adverse events arising from general
practice consultations from which to estimate sample sizes. To date, the seminal study on the incidence of adverse events is the Harvard medical practice study.24 In this study 30 000 randomly
selected case records of inpatients admitted to acute hospitals were
reviewed to develop population estimates of iatrogenic injuries
according to the age and sex of the patient and the specialty of the
doctor. Adverse events occurred in 3.7% of admissions. This study,
however, was of hospital patients and took place in a different
healthcare system. James and Pyrgos found an error rate of 3.6% when
nurse practitioners in a British accident and emergency department were compared with middle grade doctors, although this was principally the
result of overinvestigation.25 If a rate of 3.7% were to be replicated in primary care outside normal working hours 37 calls per
1000 would result in some kind of adverse event. Anecdotally, this
seems to be a high estimate, and a study based on this proportion of
adverse events would likely be underpowered to establish equivalence in
British primary care.
that is, to produce a larger sample size. To
establish exact equivalence is impossible without an infinitely large
trial, so limits need to be defined within which equivalence is
assumed. We used limits of equivalence from 80% to 125% of the
expected number of deaths in the control arm, the usual limits applied
in trials of bioequivalence (M J Campbell, personal communication). The
expected number in the control arm, assuming deaths to be distributed
equally, is about half the total expected, or around 54. Specifying
=0.1 (0.05 in a one sided calculation) and
=0.2, we calculated
that 5455 patients would be required in each arm of the trial using the
formula described by Jones et al.27 A one sided
calculation was used as we were interested to establish only whether
the nurse intervention produced worse results (higher numbers of
adverse events) than the existing service. Using Hallam's figures
again for expected numbers of calls we therefore could reasonably
expect that we would achieve the desired sample size within a trial
period of one year.1
Randomisation
The trial year was divided into 26 blocks of two
weeks. Within each block, one of each pair of matching out of hours
periods
for example, Tuesday evenings
was randomly allocated to
receive the intervention, the other being allocated to the normal
service, by means of a random number generator on a Hewlett Packard 21S pocket calculator. For logistical reasons weekends (Saturdays and
Sundays) were treated as single units for randomisation. The complete
pattern of intervention periods was known in advance only to the lead
investigators and the trial coordinator (SG, VL, and FT). Nurses
providing the intervention knew their shifts only after the duty roster
for general practitioners providing out of hours care had been fixed.
General practitioners were therefore blind to the intervention at the
point at which they were able to choose or swap duty periods. Most were
not aware until the start of a period of duty whether nurses were
present. The pattern of intervention and control days was not
publicised and would have only become apparent to a member of the
public on a particular day on calling the out of hours service and
discovering whether nurse consultation was operating.
Intervention
Six experienced nurses were recruited in late 1996 and
participated in a training programme in the skills required for
telephone consultation for six weeks before the trial started. During
intervention periods all incoming calls to the cooperative were
received by a receptionist, who took patient details, and were then
diverted to one of two nurses on duty. The nurse then undertook a
systematic assessment of the caller's problem and recommended an
appropriate course of action, including management with nurse advice
alone, contact with the general practitioner (by telephone, at the
surgery, or at home), or direct contact with ambulance services. The
nurse was aided by TAS (telephone advice system), a
computer based primary care call management system.28
Confidential records were maintained on computer for each call. Calls
about children under 1 year old and second calls about a patient on the
same day were always referred to a doctor, unless callers had been
specifically requested to call back to report progress after being
given advice and their condition had improved. Patients and callers
wishing to speak directly to a doctor were always able to do so. During
control periods the receptionist took patient details and then passed calls on to a doctor.
Measures of process and outcome
Process measures included the age and sex of patients
compared with the registered patient population; the most frequent
presenting complaints; the date and time of telephone calls; the number
of calls handled entirely by nurses; the number of calls handled by a
general practitioner; and whether the case was managed by advice, a
home visit, or attendance at a surgery or primary care emergency
centre.
that is, with no second
or third rounds of questionnaires
because of concerns locally that the
anonymity of patients might be threatened by any system that monitored
who had or who had not returned the questionnaire. Our overall response
rate, therefore, was low (around 40%), and we have not reported the
results in this paper.
Data and analysis
Data on workload were downloaded from the database of calls
held by the cooperative and transferred into the statistical package for the social sciences (SPSS) for analysis.29
Data on mortality from the Office for National
Statistics30 for the whole population of Wiltshire
(residents and visitors) were initially matched with patients
contacting the service using surname, date of birth, and sex. Some
difficulties were encountered due to mis-spelling of names and missing
dates of birth, and the computerised process was augmented by a manual
search. Data on admissions and attendances were obtained from Odstock
Hospital, Salisbury, and subjected to a similar matching process. A
small proportion of admissions and attendances at accident and
emergency departments (around 3%) were to several acute services on
the periphery of the area. Data on advice to attend an accident and
emergency department or on referral for admission for these admissions
were collected from cooperative records, but for reasons of economy the
data were not corroborated with the hospitals.
Analysis
To establish equivalence limits for data on deaths and
attendance, each observed number of events in the control arm of the study was adjusted to take account of the slight difference in denominators (7308 calls in control arm v 7184 calls in
intervention arm). The adjusted figure was multiplied by 0.8 and by
1.25 to give limits within which equivalence would be assumed. The
upper 95% confidence interval for the corresponding figure in the
intervention arm was then compared with the upper limit of equivalence
for the control arm. Confidence intervals for deaths in the
intervention arm were calculated using the population of patients who
contacted the out of hours service during the specified hours over one
year as a denominator. Confidence intervals for hospital admission and
attendance at accident and emergency department were, however, calculated using the number of calls in the intervention arm as a
denominator. This difference in methods takes account of the fact that
a death is a once and for all event which pertains to a population,
whereas a hospital admission or an attendance at an accident and
emergency department can happen more than once. Two hospital admissions
pertaining to the same person can thus appear in separate arms of the
trial. When a series of calls about the same patient was made over a
few days the last call before death or admission was used to allocate
the event to either the control or the intervention arm. All confidence
intervals were calculated using the confidence interval analysis
program using, in each case, an exact method for a single
proportion.31
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Results |
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Of 97 229 registered patients, 10 134 (10.4%) contacted the out of hours service during the specified times in the trial year on 14 492 occasions. This figure does not reflect the total number of calls received by the cooperative in all out of hours periods as it does not include calls received at night (after 11 15 pm). Table 1 gives details of call frequency; most of the 10 134 patients called once during the year.
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Table 2 shows the age distribution of the study population
(patients registered with general practitioners in the cooperative) and
of patients in the trial. In comparison with the study population, the
proportion of calls about babies under 1 year old exceeded the
proportion of babies in the population by a factor of 8, and calls
concerning children aged 1-4 years by a factor of 3.5. Calls about
children and young people aged 5-24 years were in proportion to their
numbers in the population, but calls for adults aged 25-74 were
generally reduced, particularly for those aged 45-64, for whom calls
were reduced by a factor of 0.5. As expected, more calls were received
about patients over 75 years old than their numbers in the population
would suggest. There were no substantial differences between the two
trial groups. Table 3 shows the proportions of male and female
patients. In comparison with their frequency in the population, male
patients were underrepresented in the trial, but no differences were
found between the two arms of the trial.
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Impact of intervention on management of calls
In all, 7308 calls were received in the control arm of the trial and 7184 in the
intervention arm. Of the 7184 calls made during intervention periods,
3581 (49.8%) were managed by the nurse without referral to a doctor.
There were significant reductions in workload for general practitioners
in the other three categories, the largest reduction being in the
amount of telephone advice given (table 4). Table 5 shows the same data
analysed by randomisation week, estimating the weekly number of calls
which can be handled by a service and the consequent reduction in
workload of general practitioners in a cooperative of this
size.
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Deaths after contact with service
A total of 125 patients
died during the trial year within seven days after a contact with the
out of hours service. Most were elderly (mean and median age at death
83 years (range 30-107)). Table 6 shows how the deaths were distributed
between the two arms of the trial. The deaths in the control arm are
presented both as the raw figure and as a figure adjusted for the
difference in denominators with limits of equivalence. Based on our
method of calculating limits of equivalence, this upper limit is 83 deaths over one year. The upper 95% confidence interval for the
number of deaths in the intervention arm is 75, well within the limit
set.
Emergency admissions to Salisbury
A total of 935 patients were admitted within three days of an out of hours contact
during the trial year, constituting 6.4% of all out of hours contacts.
A total of 815 patients were admitted within 24 hours. Table 6 shows
the distribution of admissions between the control and intervention
arms. The upper equivalence limit for the control arm for admissions
within 24 hours of a call was 541 over one year and that for admissions
within three days of a call 623. The corresponding upper 95%
confidence intervals for the intervention arm were 414 and 468 admissions respectively, well within the limits set.
Attendances at accident and emergency department in
Salisbury
The accident and emergency department recorded 27 771
attendances during 1997 (including both new episodes and unscheduled returns but excluding clinic appointments). A total of 810 patients attended within three days of an out of hours contact, 5.6% of all out
of hours contacts and around 3% of all attendances at the accident and
emergency department during the trial year. The upper equivalence limit
for the control arm for attendances within three days of a call was 489 and the upper 95% confidence interval for the intervention arm 459, well within the limit set (table 6). This was the only one of the three
measurements of workload to show an increase in the intervention arm,
but it was within statistical limits of equivalence and of no clinical
importance.
Admissions and attendances outside Salisbury
Sixty calls
throughout the trial resulted in advice to attend or referral for
admission to units other than Salisbury (table 6). The largest number
to a single unit was 48, to Princess Margaret Hospital in Swindon. As
stated earlier, these data were not corroborated with the receiving
units. Twenty six such referrals took place in intervention periods and
34 during control periods. Based on our method for calculating limits
of equivalence, the upper limit for the control arm was 43 such events
over one year. The upper 95% confidence interval for the number of
events in the intervention arm was 38, well within the limit
set.
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Discussion |
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We found that nurse telephone consultation produced significant reductions in all parts of the workload of general practitioners and did not lead to any obvious adverse outcomes for patients. The results, however, apply only to the system we tested, including the selection and training of nurses and the decision support software used. Inadequate training of nurses and the use of a different software package might produce different results.
Are all contacts with general practitioners necessary?
Why did fewer patients have direct contact with a doctor in
the intervention arm of this trial? We believe the explanation to be
clear once it is accepted that not all patients who see a doctor need
to see one, even if the contact is initiated by a doctor. With nurse
telephone consultation all calls are subject to a systematic assessment
with the aid of decision support software. When the nurse intervention
was not operating in our trial the general practitioner on call, who
was often in rural Wiltshire in a car, would receive a message from the
receptionist at the switchboard that a call had been received from or
about a patient, with the caller's description of the health problem.
Receptionists, while trained to operate booking systems, are not
trained to undertake an assessment of patients. Under these
circumstances, it may seem much more straightforward to visit the
address given rather than return the call. Immediate advice from a
nurse while the caller is still on the telephone can reduce the number
of such contacts dramatically. Anecdotally, we are also aware that
general practitioners sometimes find it difficult to refuse a
patient's request for a visit, even when they know that a visit is not
indicated. The presence of a nurse acts as an effective filter under
these conditions. The same explanation can be offered for the decrease
in admissions to hospital observed during intervention periods.
Interpretation of results
There are some methodological difficulties in interpreting
our results. For instance, the trial data do not show whether some patients received advice from a nurse when they should have been admitted to hospital, but had this occurred it did not lead to an
excess of deaths. Clearly, however, many gradations of outcome exist
between perfect health and death, and questions remain about differences between those who accepted nurse advice in this trial and
those who experienced the usual on call system. Answering such
questions is, however, difficult. When outcomes between the two trial
arms are being compared, any comparison should not be restricted to
those accepting nurse advice but include all those accepting advice
from either a nurse or a doctor. Although this seems at first sight to
be straightforward, a difficulty arises because the overall proportion
of subjects accepting advice, from either a nurse or a doctor, is
different in the intervention arm and the control arm of the trial.
This poses considerable difficulties in terms of the validity of
comparing these two groups since they have potentially different case
mix characteristics. A separate point concerns the interpretation of
potentially adverse events within the trial. Take the example of a
repeat call after advice, which might be interpreted as a failure of
advice as an intervention. However, both doctors and nurses giving
advice over the telephone often ask callers to call them back to tell
them whether the suggestion has worked. They also commonly say:
"Please don't hesitate to call back if you're at all worried."
Are these bad outcomes, or good ones? As part of the further
development of this work we intend now to review all deaths at a
confidential audit, together with a random sample of emergency
admissions from both arms of the trial, to explore the appropriateness
of processes of care leading to death or admission.
Economics
Is this service affordable? It may be that the introduction
of nurse telephone consultation results in a more comprehensive but
more expensive service, with resulting choices for practices and,
eventually, the taxpayer. There may be opportunities for economies,
however. The rural nature of the trial cooperative required two general
practitioners to be on duty, with two on standby to cover the area with
adequate response times. However, larger urban cooperatives, with
smaller areas to cover, might find it possible to replace a doctor with
a telephone consultation nurse. Clearly, however, the blinded nature of
this trial meant that we were not able to monitor any increase in
overall demand generated by the presence of the nurse intervention
service. This remains to be established by long term follow up of such
services.
The way forward
Given two telephone numbers, one for a stand alone advice
service and one for their doctor, many people will choose to ring the
doctor. The out of hours service we studied generated 144 calls per
1000 patients per year, in comparison with existing regional health
information services, which generate approximately 9 calls per 1000 population per year.32 Our study has shown, however, that
a large proportion of calls to out of hours services can be handled
with advice alone. There are clear arguments, therefore, in favour of
centralising the process of handling calls. The success of NHS Direct,
we believe, will depend on the extent to which it can integrate with
primary care and social services and enable direct access to out of
hours primary care services. Over the next year new primary care groups
will shape integrated services for patients and will be asked to focus
on the provision of "prompt, accessible, seamless care delivered to a
high standard."9 They, as well as managers of NHS Direct
sites, should ensure that such an accessible and seamless service is
made a reality.
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Acknowledgments |
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We thank all the staff of the cooperative who helped to turn this project into reality. We thank Salisbury Healthcare NHS Trust and the staff of Salisbury and District Community Health Council for their support and help during the study. We thank BT and the South and West Regional Health Authority for funding the study, and we thank the Royal College of Nursing for its support. We thank Professor Mike Campbell, University of Sheffield, for statistical advice and Professor Jeremy Dale, University of Warwick, Mr Robert Crouch, University of Surrey, and Plain Software, the manufacturers of TAS, for their technical help and advice. The opinions given here are ours alone.
Contributors: SG, VL, HS, ET, and EAG initiated the study and obtained funding. MM and FT facilitated the piloting of the service. FT, MM, and HB were responsible for running the service within the cooperative. Data collection was undertaken by VL, FT, and JT. Data analysis was performed by VL, JT, M Mullee, and SG. All authors participated in the discussion and interpretation of the results. VL and SG wrote the paper, with comments from all authors during the process. SG is the guarantor for the study.
Funding: The telephone consultation service was funded by BT, which also funded the pilot stages of this work. VL was supported by a research studentship from South and West Regional Health Authority. JT was supported by a research grant from South and West Regional Health Authority.
Competing interests: BT funded the pilot stages and the service component of this trial. The research component was funded by the NHS Executive South and West Research and Development Directorate. BT agreed at the outset that the results of this trial would be published, whatever they were.
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References |
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meeting community needs while serving healthcare dollars.
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1993;
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confidence intervals and statistical guidelines.
London: BMJ Publishing Group
, 1989.(Accepted 17 September 1998)
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