Abstract
Background
Alcohol misuse is common in people attending emergency departments (EDs) and there is some evidence of efficacy of alcohol screening and brief interventions (SBI). This study investigated the effectiveness of SBI approaches of different intensities delivered by ED staff in nine typical EDs in England: the SIPS ED trial.
Methods and Findings
Pragmatic multicentre cluster randomized controlled trial of SBI for hazardous and harmful drinkers presenting to ED. Nine EDs were randomized to three conditions: a patient information leaflet (PIL), 5 minutes of brief advice (BA), and referral to an alcohol health worker who provided 20 minutes of brief lifestyle counseling (BLC). The primary outcome measure was the Alcohol Use Disorders Identification Test (AUDIT) status at 6 months. Of 5899 patients aged 18 or more presenting to EDs, 3737 (63·3%) were eligible to participate and 1497 (40·1%) screened positive for hazardous or harmful drinking, of whom 1204 (80·4%) gave consent to participate in the trial. Follow up rates were 72% (n = 863) at six, and 67% (n = 810) at 12 months. There was no evidence of any differences between intervention conditions for AUDIT status or any other outcome measures at months 6 or 12 in an intention to treat analysis. At month 6, compared to the PIL group, the odds ratio of being AUDIT negative for brief advice was 1·103 (95% CI 0·328 to 3·715). The odds ratio comparing BLC to PIL was 1·247 (95% CI 0·315 to 4·939). A per protocol analysis confirmed these findings.
Conclusions
SBI is difficult to implement in typical EDs. The results do not support widespread implementation of alcohol SBI in ED beyond screening followed by simple clinical feedback and alcohol information, which is likely to be easier and less expensive to implement than more complex interventions.
Trial Registration
Current Controlled Trials ISRCTN 93681536
Introduction
Alcohol makes a significant contribution to the global burden of disease, injury and economic cost [1]. Over 20 million people are treated in emergency departments (ED) in England each year of which 35% of attendances are alcohol related, rising to 40% of attendances at weekends and up to 70% at peak times [2], [3]. Such presentations offer the opportunity for early identification and intervention to reduce hazardous and harmful drinking [4], [5].
There is a substantial evidence base for the efficacy of opportunistic screening and brief interventions (SBI) to reduce hazardous and harmful drinking in primary health care [6]. The evidence in ED is currently inconclusive. We conducted a rapid systematic review of SBI trials in ED (S1 Text) excluding studies conducted in adolescents only, trauma centres, and ED studies only including injured patients, to allow comparability to the current study. We identified six randomized controlled trials and two systematic reviews [6]–[13]. All identified trials were single site studies, four of which were in university teaching hospitals and mostly delivered by specialist staff employed by the study team rather than ED staff. Four of the trials assessed efficacy rather than effectiveness. Only one trial had a significant effect of intervention on alcohol consumption at 12 months [12]. A further trial had a significant effect on consumption at 6 but not 12 months, and reduced re-attendances at 12 months [8]. One trial found that patients receiving no intervention fared significantly better than those randomized to motivational interviewing [9].
ED is a busy environment with high patient and junior doctor turnover making SBI challenging to implement: one UK trial was abandoned due to low uptake of screening and intervention, whilst in another trial, though successful, initial data collection by ED staff was of necessity limited [8], [14]. So while alcohol SBI in ED shows some promise in single site trials, its effectiveness in the typical ED setting was unknown. Further the optimal intensity of SBI was unknown [6], [15]. The current study (SIPS ED trial) is the first pragmatic multicentre RCT of SBI in typical EDs. It included a larger sample size than previous trials, and cluster randomization to reduce contamination between intervention conditions. It was commissioned by the UK Department of Health as a facet of the Alcohol Harm Reduction Strategy for England [16]. The wider SIPS research programme included two related cluster RCTs in primary health care and criminal justice agencies and a health economic evaluation which are reported separately [17]–[19].
Methods
Ethics statement
The study received ethical approval from the London Research Ethics Committee (reference number: 07/MRE02/06).
Trial design and participants
The trial methodology is described here in brief. The protocol for this trial and CONSORT checklist are available as Checklist S1 and Protocol S1. We conducted a pragmatic factorial cluster randomized trial of alcohol SBI in nine EDs across three English regions (North East, South East, London). Participating EDs were selected on the basis of having no current routine alcohol SBI programme, representing a broad cross section of EDs including rural, suburban, urban and metropolitan catchment areas with wide ethnic and sociocultural diversity, located in both teaching hospitals and typical district general hospitals.
Our aim was that all patients aged 18 years or older who attended the participating EDs and otherwise met the inclusion criteria would be screened by ED staff using one of three short validated alcohol screening tools: the modified Single Alcohol Screening Question (M-SASQ), FAST Alcohol Screening Test, or a modified version of Paddington Alcohol Test (SIPS-PAT) [19]. EDs were randomly assigned to one of the three screening approaches. Inclusion criteria were age > = 18 and screening positive on an alcohol screening test, being sufficiently alert and orientated to provide informed consent, living within the catchment area of the ED, and being able to speak read or write English sufficiently well to complete study questionnaires. Exclusion criteria were patients who were age <18, already seeking alcohol treatment, participating in another study of alcohol interventions, severe injury, or suffering from a serious mental health problem, or grossly intoxicated, or being of no fixed abode.
Procedures
Those patients screening positive on the relevant alcohol tool were invited by ED or research staff to provide informed written consent to participate in the trial. The aim was to have all eligibility, screening, consent and baseline data collection carried out by ED staff. Furthermore ED staff were trained to deliver the interventions according to the condition they were allocated to. However, due to a low level of ED staff participation, this was carried out by the research team in six of nine EDs. The baseline assessment included demographic data, an extended item version of the Alcohol Use Disorders Identification Test, and a modified Readiness Ruler [19]. Participants were sent a voucher with a value of £10 following completion of the baseline interview.
We compared three different alcohol interventions of different intensity and complexity, with three EDs randomized to each condition, creating nine clusters in total. Participants in the minimal intervention control group were provided with simple clinical feedback using a standard script that their test result indicated they were drinking above the government's “safe” drinking levels, and were given a Patient Information Leaflet (PIL): the Department of Health's “Drinking and You: How Much is Too Much?” leaflet, including information on local alcohol services where further help could be sought by the patient themselves [19].
The intermediate intervention was the provision of 5 minutes of brief advice (BA) about drinking using the SIPS brief advice tool (Brief Advice About Alcohol Risk) developed for the trial and was based on the How much is too much? intervention pack developed as part of the UK version of the WHO collaborative Drink-Less Brief Intervention programme by Northumbria and Newcastle Universities [19]. Following brief advice the PIL was delivered in the same manner as in the minimal intervention group.
The more intensive intervention was Brief Lifestyle Counseling (BLC) delivered by SIPS employed Alcohol Health Workers (AHW) with specialist training and experience in alcohol motivational interventions. This was a 20 min lifestyle counseling alcohol intervention based on the How much is too much? intervention pack originally developed by Northumbria and Newcastle Universities, informed by the work of Rollnick and colleagues [19]–[20]. The procedure was that ED staff would first deliver the BA and PIL as above and then refer the patient to the SIPS AHW with an appointment the following day or as soon as possible thereafter.
At the intake point participants were invited to give their preference of follow up method - either by telephone, email or postal questionnaire. The protocol allowed for changing from the preferred method of follow up to the other methods if this proved unsuccessful. Most opted for telephone follow up and many who preferred other methods were successfully followed up by telephone. Telephone follow up was conducted by researchers who were blind to the participants allocated intervention condition.
The primary outcome measure was the AUDIT status (score of <8 versus > = 8) on the extended item AUDIT questionnaire at 6 months post consent.
Secondary outcome measures were average number of drinks per day using the quantity-frequency questions of the extended AUDIT, alcohol related problems using the Alcohol Problems Questionnaire (APQ), readiness to change using a modified Readiness Ruler, all of which were measured at 6 and 12 months, and patient satisfaction using a modified version of the Patient Satisfaction Questionnaire measured at 12 months only [19]. We have noted that there are some discrepancies in the definition of our primary outcome in previous published documents of our study: Primary outcome in trial registration: “Alcohol Use Disorders Identification Test (AUDIT) at baseline and 6 months”.
Primary outcome in protocol paper: “the score on the AUDIT screen at 12 months post-consent”.
Primary outcome in this manuscript: “the AUDIT status (score of <8 versus > = 8) on the extended item AUDIT questionnaire at 6 months post consent”.
To clarify this issue the primary outcome as stated in the registration is the primary outcome tool and this is operationalised as AUDIT status (score of <8 versus > = 8) at 6 months, this is the same as in this manuscript. In the BMC protocol paper we use the term score on the AUDIT screen which in effect is an alternative term for the AUDIT status. We can see that an error has occurred in the BMC protocol paper as we have used a 12 month time-point for the primary outcome rather than 6, as stated in the registration and submitted paper and the outcome the original study was powered to assess. We will contact the relevant editor at BMC to have this amended.
Randomization and masking
Randomization was conducted using a secure remote randomization service. Nine allocations were generated for each of the possible factorial combinations of screening method (SIPS-PAT, FAST, M-SASQ) and intervention condition (PIL, BA, BLC). EDs and allocations were randomly sampled without replacement and paired to generate allocation groups.
Participants were informed that they would be taking part in a study comparing different types of alcohol intervention taking place in different EDs. However they were only informed of the intervention taking place in their ED. Staff in each ED were informed of the design of the study and provided with a basic description of the different interventions being compared in the trial. However local ED staff were only trained to administer the intervention appropriate to their randomized ED allocation. The research team and SIPS employed AHWs were aware of the study design and were trained in all intervention methods. Researchers conducting 6 and 12 month follow up were blinded to the participants' allocated treatment condition and efforts were made to prevent participants from inadvertently revealing the intervention they received.
Sample size and data analysis
Recent meta-analysis suggests that the difference between brief intervention and control in alcohol consumption is 13%; 5% reduction in the control group and 18% in the brief intervention group [21]. We employed an established formula in our sample size calculation [22] and in order to detect this difference at the 5% significance level with 80% power, for a two-sided test, requires 109 patients in each of the three groups, a total of 327. Assuming a loss to follow up of 25% inflates the sample required to 131 in each group, a total of 393 patients. The proposed study involves a cluster design and requires a statistical adjustment to account for any potential cluster effect. The literature and our previous experience of trials in primary care suggest that is appropriate. Assuming an intra-class correlation coefficient of 0·04, a cluster size of the order 44 patients, this inflates the sample size calculation by a factor of 2·7 requiring a total of 1179 patients, 393 in each group, with an expectation that at least 882 will be followed up at 6 months and 12 months.
The primary analysis was by intention to treat, whereby participants are analysed as members of their allocated group irrespective of the treatment received to provide a pragmatic estimate of effectiveness, using a weighted linear regression model. The data were summarised for each of the nine clusters, summing the total number of AUDIT positive and AUDIT negative patients. The average baseline AUDIT score for each cluster was also calculated. For each cluster the odds of being AUDIT negative (low alcohol risk) were computed. For the primary analysis, the log odds of being AUDIT negative at 6 months were used as the dependent variable. In order to adjust for baseline differences in clusters, baseline AUDIT score was included in the model in addition to intervention and screening method. The analysis was weighted for the number of patients in each cluster responding at month six. The results were transformed and then presented as odds ratios. We explored the impact of missing data on the primary outcome by conducting multiple imputations and assessing the impact of missing data using sensitivity analysis. Weighted analyses were conducted for all other binary measures. Continuous variables were analysed using the mean score from each cluster which was then used in a weighted linear regression model. A per protocol analysis was conducted for the primary outcome including only those who received their allocated intervention. For the analysis of readiness to change ruler, the four categories were collapsed to form two categories, effectively those who were thinking of changing or had actually changed drinking and those who had not. All analyses were performed in STATA version 10.
Results
Implementation, recruitment and follow up
Screening and interventions were carried out by ED staff in three of 9 EDs and of necessity, due to low ED staff participation, by SIPS employed staff in the remaining six: two of three in the PIL condition, one of three in the BA condition and all in the BLC condition.
Recruitment started in March 2008 and finished in April 2009, and 12 month follow up was completed in May 2010. The Consort statement for the study is shown in Figure 1. A total of 5899 potential participants were assessed for eligibility for the trial, of whom 3737 (63·3%) were eligible to participate. Reasons for ineligibility are shown in Table 1. The commonest reasons for ineligibility were not being alert and orientated (26·1%), unable to speak English (21·1%), and not providing verbal consent to be screened (16·1%). Of those eligible 1497 (40·1%) screened positive for alcohol misuse, of whom 1204 (80·4%) gave consent to participate in the trial, with similar numbers across intervention groups (PIL n = 406; BA n = 403; BLC n = 395).
Figure 1. Consort Diagram.
Table 1. Reasons for ineligibility.
| Reason | n | % of ineligible |
| Not alert and orientated | 564 | 26·1 |
| Does not speak English | 457 | 21·1 |
| Refused verbal consent to screen | 349 | 16·1 |
| Not resident within 20 miles of ED | 260 | 12·0 |
| Serious mental health problem | 120 | 5·6 |
| No fixed abode | 113 | 5·2 |
| Gross alcohol intoxication | 106 | 4·9 |
| Already seeking help for an alcohol problem | 90 | 4·2 |
| Severely injured | 79 | 3·7 |
| Already participating in a research project | 24 | 1·1 |
| Totals | 2162 | 100 |
All patients in EDs allocated to PIL condition received the intervention. In the BA condition all patients received the PIL and 97% received BA. In the BLC condition, all patients received PIL, 99% received BA, and 50% received BLC.
Overall the follow-up rate at 6 months was 72% (n = 863), and was higher for those in the BA group (75%) than those allocated to PIL (72%) and BLC (68%). At 12 months the follow up rate was 67% (n = 810), higher in the BA group (73%) than either the PIL group (65%) or the BLC group (64%). These differences in follow up rate were not statistically significant.
Sample characteristics
The characteristics of the sample are shown in Table 2. Overall the mean age of those consenting to the study was 34·6 years and was similar across screening and intervention groups. The majority of the sample was male (65%). Overall 88% of the sample classified their ethnicity as white, with more white participants in the PIL group (93%) than either the BA or BLC groups (both 85%). The proportion of single people was 54%, with more in the BLC group (62%) than either the PIL (53%) or BA (48%) groups. Almost 65% of the sample continued with education after the age of 16 years. A smaller proportion of participants in the PIL group (59%) had continued in education than either the BA (66%) or BLC (69%) groups. Overall 39% of participants had a degree or equivalent. A higher proportion of those in the BLC group (48%) had a degree than either the BA (37%) or PIL (33%) groups. In excess of 45% of participants were current smokers.
Table 2. Demographic and baseline measures by intervention allocation.
| Minimal (N = 406) | Brief Advice (N = 403) | Brief Lifestyle Counseling (N = 395) | Total (N = 1204) | ||||||
| N | Mean (SD) | N | Mean (SD) | N | Mean (SD) | N | Mean (SD) | ||
| Age in years | 402 | 34·1 (12·6) | 402 | 35·2 (14·3) | 394 | 34·5 (13·3) | 1198 | 34·6 (13·4) | |
| Average drinks per day | 401 | 2·4 (2·1) | 400 | 2·1 (2·0) | 389 | 2·2 (2·1) | 1190 | 2·3 (2·1) | |
| N | % | N | % | N | % | N | % | ||
| Gender | Male | 272/404 | 67·3% | 270/403 | 67·0% | 242/395 | 61·3% | 784/1202 | 65·2% |
| Ethnicity | White | 372/401 | 92·8% | 343/402 | 85·3% | 334/395 | 84·6% | 1049/1198 | 87·6% |
| Marital Status | Single | 215/403 | 53·3% | 192/402 | 47·8% | 245/393 | 62·3% | 652/1198 | 54·4% |
| Education after 16 years | Yes | 240/404 | 59·4% | 267/402 | 66·4% | 273/395 | 69·1% | 780/1201 | 64·9% |
| Possess degree or equivalent | Yes | 130/398 | 32·7% | 148/400 | 37·0% | 182/382 | 47·6% | 460/1180 | 39·0% |
| Smoke tobacco | Current smoker | 198/404 | 49·0% | 172/401 | 42·9% | 172/395 | 43·5% | 542/1200 | 45·2% |
| Readiness Ruler | Never think about drinking less | 149/401 | 37·2% | 141/397 | 35·5% | 143/390 | 36·7% | 433/1188 | 36·4% |
| Sometimes think about drinking less | 135/401 | 33·7% | 145/397 | 36·5% | 142/390 | 36·4% | 422/1188 | 35·5% | |
| I have decided to drink less | 41/401 | 10·2% | 44/397 | 11·1% | 43/390 | 11·0% | 128/1188 | 10·8% | |
| Already trying to cut down | 76/401 | 19·0% | 67/397 | 16·9% | 62/390 | 15·9% | 205/1188 | 17·3% | |
The mean AUDIT score at baseline was 12·4 (SD 6·9)(Table 3). The PIL group had a higher baseline AUDIT score 13·3 (SD 6·9) than either BA 12·2 (SD 7·0) or BLC 11·7 (SD 6·6). Overall 22·1% were AUDIT negative (PIL 14·9%, BA 24·5%, BLC 27·2%).
Table 3. Baseline AUDIT score.
| Minimal | Brief Advice | Brief Lifestyle Counseling | Total | ICC | ||||||
| N | % | N | % | N | % | N | % | |||
| AUDIT Status | NEGATIVE (<8) | 59 | 14·9% | 96 | 24·5% | 103 | 27·2% | 258 | 22·1% | 0·04 (0·02) |
| POSITIVE (> = 8) | 336 | 85·1% | 296 | 75·5% | 276 | 72·8% | 908 | 77·9% | ||
| AUDIT Category | NEGATIVE (<8) | 59 | 14·9% | 96 | 24·5% | 103 | 27·2% | 258 | 22·1% | 0·03 (0·02) |
| HAZARDOUS (8–15) | 228 | 57·7% | 208 | 53·1% | 199 | 52·5% | 635 | 54·5% | ||
| HARMFUL (> = 16) | 108 | 27·3% | 88 | 22·4% | 77 | 20·3% | 273 | 23·4% | ||
| AUDIT score | N | Mean (SD) | N | Mean (SD) | N | Mean (SD) | N | Mean (SD) | ||
| 395 | 13·3 (6·9) | 392 | 12·2 (7·0) | 379 | 11·7 (6.6) | 1166 | 12·4 (6·9) | 0·02 (0·01) | ||
Clinical effectiveness
In the primary analysis, the proportion of AUDIT negative was 27·6% in PIL, 34·5% in BA and 39·5% BLC at 6 months (Table 4). The odds ratio comparing BA to PIL was 1·103 (95% CI 0·328 to 3·715) and comparing BLC to PIL was 0·690 (95% 0·315 to 4·939). These were not statistically significant differences. Multiple imputation of missing data found no significant differences so the outcome reported is based on observed values at 6 months. Differences in AUDIT status at 12 months also were not significantly different between intervention groups.
Table 4. Outcome measures at 6 and 12 months.
| Minimal Intervention | Brief Advice | Brief Lifestyle Counseling | Brief Advice/Minimal* | Brief Lifestyle Counseling/Minimal* | ICC (se) | |||
| OR | P-value | OR | P-value | |||||
| N (%) | N (%) | N (%) | (95% CI) | (95% CI) | ||||
| Intention to treat analysis | ||||||||
| AUDIT Negative a - Month 6 | 79/286 (27·6) | 103/298 (34·5) | 102/258 (39·5) | 1·1 | 0·81 | 1·2 | 0·65 | 0·02 (0·02) |
| (0·3 to 3·7) | (0·3 to 4·9) | |||||||
| AUDIT Negative a - Month 12 | 91/260 (35·0) | 123/293 (42·0) | 108/250 (43·2) | 1·0 | 0·88 | 0·9 | 0·69 | 0·02 (0·01) |
| (0·4 to 2·5) | (0·3 to 2·6) | |||||||
| RCQ – Changed – Month 6b | 121/287 (42·2) | 105/297 (35·4) | 94/261 (36·0) | 0·8 | 0·23 | 0·8 | 0·36 | 0·01 (0·01) |
| (0·5 to 1·3) | (0·5 to 1·4) | |||||||
| RCQ – Changed – Month 12b | 112/253 (44·3) | 106/286 (37·1) | 82/244 (33·6) | 0·8 | 0·18 | 0.647 | 0·08 | 0·01 (0·01) |
| (0·5 to 1·3) | (0·4 to 1·1) | |||||||
adjusted for mean baseline AUDIT score and screening instrument.
adjusted for baseline log odds of being in change group and screening instrument.
adjusted for baseline ADD and screening instrument.
*estimates of differences are produced from weighted regression models.
ADD – average drinks per day.
Similarly no significant differences were found between intervention conditions for average drinks per day, AUDIT score, APQ score or readiness to change, at 6 or 12 months. All results are presented in Tables 4 and 5.
Table 5. Outcome measures at 6 and 12 months.
| Minimal Intervention N (%) | Brief Advice N (%) | Brief Lifestyle Counseling N (%) | Brief Advice/Minimal* | Brief Lifestyle Counseling/Minimal* | ICC (se) | |||
| N | N | N | Mean Difference | P-value | Mean Difference* | P-value | ||
| Mean (SE) | Mean (SE) | Mean (SE) | (95% CI) | (95% CI) | ||||
| General Satisfaction – Month 12d | 240 | 268 | 234 | −0.06 | 0.31 | −0.12 | 0.08 | 0.01 (0.01) |
| 4.01 (0.04) | 3.95(0.04) | 3.90 (0.04) | (−0.19 to 0.07) | (−0.26 to 0.02) | ||||
| Communication – Month 12d | 241 | 269 | 231 | −0.08 | 0.25 | −0.04 | 0.52 | 0.01 (0.01) |
| 4.14 (0.04) | 4.06 (0.04) | 4.09 (0.04) | (−0.25 to 0.09) | (−0.22 to 0.13) | ||||
| Interpersonal manner – Month 12d | 240 | 269 | 233 | 0.01 | 0.90 | −0.02 | 0.81 | 0.01 (0.01) |
| 4.04 (0.04) | 4.05 (0.03) | 4.02 (0.04) | (−0.21 to 0.23) | (−0.25 to 0.21) | ||||
adjusted for mean baseline AUDIT score and screening instrument.
adjusted for screening instrument.
*estimates of differences are produced from weighted regression models.
A per protocol analysis based on interventions actually received by patients, and an analysis comparing both BA and BLC in a combined group to PIL also failed to find any significant differences between the intervention groups at 6 months (Tables 4 and 5).
Discussion
This study has important implications for alcohol screening and brief intervention (SBI) in ED. The original design of the study was for the SBI to be delivered by ED staff, apart from the BLC intervention. The latter required ED staff to refer patients to an alcohol health worker (AHW) for a subsequent consultation usually a few days after initial ED attendance, this being comparable to the St Mary's model [8]. However due to low participation of ED staff the study team had to deliver the SBI in six out of nine EDs. The implication is that, although there is some enthusiasm amongst ED staff to carry out alcohol interventions, it is likely to be difficult to implement SBI in the typical ED setting without significant external support from specialist alcohol staff.
The results showed that in a large pragmatic multicentre RCT, there was no significant difference in outcome between the three intervention conditions either in intention to treat or per protocol analyses on any of the outcome measures. These results are largely consistent with the systematic review, with the exception of two out of six single site efficacy studies conducted in university teaching hospitals which found significant effects of more intensive intervention [8]–[12]. This suggests that beyond the provision of simple clinical feedback and an alcohol information leaflet, more intensive interventions do not add significant clinical benefit.
Only 50% of patients referred for BLC intervention actually received it. Although this is a higher attendance rate than the previous UK ED trial (29·3%) and an Australian trial (10%), it suggests non-attendance at subsequent outpatient appointments following ED attendance may limit the effectiveness of BLC in typical practice [8], [9]. Also previous research has shown that longer delay in receiving an appointment with an AHW results in greater attrition [23].
The strengths of this study include the fact that it is the first large pragmatic multicentre RCT of effectiveness of SBI in typical EDs, and rates of eligibility and consent were higher than in previous SBI studies, which adds weight to the generalisability of the research. Further we did not exclude patients with alcohol dependence as some previous studies have, since there is some evidence to suggest more dependent drinkers might benefit more from SBI in ED than hazardous drinkers [24], [25]. Cluster randomization reduced the potential for contamination between interventions being delivered within a single clinical site with the potential for subversion of the protocol.
Weaknesses of the study include that we achieved a lower follow-up rate than planned (70% at 6 months and 67% at 12 months, compared to 75% planned) which will have reduced the statistical power, although these follow up rates are comparable with previous trials in ED. As this was a pragmatic effectiveness trial there was more limited measurement of the fidelity of the interventions in order to more closely represent typical practice. It is therefore possible that the lack of differences between intervention groups may have been due to unsuccessful implementation of the clinical protocols. Further, in six out of nine EDs the clinical protocols were implemented by study staff so the intervention being evaluated differed from the protocol. However as this was a pragmatic trial, the introduction of an AHW to deliver SBI reflects what is likely to have occurred with implementation in typical practice.
The study did not include a ‘no intervention’ group as a comparator with more intensive interventions. It is therefore not possible to conclude that the reductions in hazardous and harmful drinking in all three conditions can be attributed to the interventions rather than ‘assessment reactivity’ or regression to the mean effects.26 However three ED trials which have included patients who were only screened and followed up did not show differences in outcome with patients who were assessed and enrolled in the trial interventions [11], [12], [27].
Viewed in the context of our systematic review these findings add to a growing body of evidence that suggest ED is a less useful setting in which to implement alcohol SBI than in primary health care where the evidence is considerably stronger [6]. This might be related to several differences between the settings. Primary care staff are likely to have a more effective and ongoing therapeutic relationship with patients, which may provide a better context for SBI compared to the transient nature of ED attendance. Primary care has a more established role in providing preventive lifestyle interventions including diet and smoking, which may increase the legitimacy of alcohol SBI for both practitioners and patients. Patients often present to ED at a point of crisis which may be accompanied by distress and/or alcohol intoxication, and this might limit patients' receptiveness to alcohol or other lifestyle interventions [28], [29].
It has been suggested that ED presents a ‘teachable moment’ when patients may be more amenable to an intervention making a connection between alcohol consumption and the presenting problem, increasing motivation to reduce drinking [23]. Alternatively it is possible that patients make this connection by virtue of the distress of their presenting condition and having to attend ED, without it being pointed out by clinical staff, which might obviate the need for, and limit the potential impact of SBI [28], [29].
Nevertheless there is growing enthusiasm for implementation of SBI in ED in the UK and elsewhere [9], [30], [31]. A recent national survey of EDs in England conducted in 2011 reported that nearly half of EDs routinely ask patients about alcohol, 96% offer help or advice about alcohol, and 72% have access to an alcohol health worker or specialist nurse: significant increases on a 2006 survey [30]. Our results and the systematic review do not support widespread implementation of alcohol SBI in ED beyond the provision of screening followed by simple clinical feedback and alcohol information, which is likely to be easier and less expensive to implement than more complex interventions.
Supporting Information
Trial protocol.
(DOC)
CONSORT checklist.
(DOCX)
Acknowledgments
We would like to thank all the staff of the nine emergency departments for their support for the research. The participating hospitals were King's College Hospital (King's College Hospital NHS Foundation Trust), St Thomas's Hospital (Guy's and St Thomas's Hospital NHS Foundation Trust), North Middlesex Hospital (North Middlesex University Hospital NHS Trust) and Central Middlesex Hospital (North West London Hospitals NHS Trust), London, Royal Hampshire County Hospital (Hampshire Hospitals NHS Foundation Trust), Newcastle General Hospital (Newcastle upon Tyne Hospitals NHS Foundation Trust), Darlington Memorial Hospital (County Durham and Darlington NHS Foundation Trust), South Tyneside Hospital (South Tyneside NHS Foundation Trust), Hexham Hospital (Northumbria Healthcare NHS Foundation Trust). We also thank the Mental Health Research Network and the National Institute for Health Research Clinical Research Networks for their support.
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Ethical Approval
This study received multicentre ethical approval (07/MRE02/06) plus local agreement from all relevant local research ethics committees. Research governance approval was granted by all relevant primary care trusts. The research was done in accordance with the Helsinki declaration.
Funding Statement
The study was funded by the UK Department of Health. The Department of Health, proposed the general study design, but the details of the methodology were determined by the study team. The sponsor had no role in data collection, data analysis, interpretation of the results or writing the report. The corresponding author had full access to the data and had final responsibility for the decision to submit for publication. The views expressed herein do not necessarily reflect those of the Department of Health or the National Health Service in England and Wales.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Trial protocol.
(DOC)
CONSORT checklist.
(DOCX)