Book a Demo!
CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutPoliciesSign UpSign In
Download
29550 views
1
2
3
4
5
Session 2.
6
Identifying ED Patients with Alcohol Problems
7
8
Robert Woolard, MD
9
Many patients in the emergency department (ED) have alcohol
10
problems, and they can be identified.1 Research on techniques used
11
to identify these patients has been conducted, but several areas of
12
interest should be addressed by further research. We need to
13
further examine and refine alcohol-screening questionnaires in the
14
ED. We need to determine the sequence and combination of questions
15
and tests that constitute the best screening process. We need to
16
study barriers to screening, identify factors that promote
17
screening implementation, and demonstrate the impact of a screening
18
program in the ED. The final aim of screening must be improved
19
outcomes through referral and counseling. Identification is only
20
the first step in a process of care.
21
Alcohol problems defined
22
Alcohol problems designate a spectrum from risk behavior to
23
illness, and from problematic consumption to alcohol use disorder.
24
We must be careful when interpreting the results of studies, and in
25
our own design of screening procedures, that we are clear about the
26
endpoints we are measuring. Clinicians in the ED are interested in
27
screening for several alcohol endpoints. Acute intoxication is of
28
concern to emergency physicians. Intoxication in a driver would
29
certainly be considered an "alcohol problem." The blood or breath
30
alcohol concentration (BAC), coupled with our clinical
31
observations, may help us identify intoxication. Most alcohol
32
screening tests identify patients with alcohol use disorders or
33
problematic consumption of alcohol. The American Psychiatric
34
Association in DSM III-R, IV2 and the World Health Organization
35
(WHO) in the 9th and 10th International Classification of Diseases
36
(ICD-9, -10) have rigorously defined alcohol abuse and alcohol
37
dependence.3 These definitions largely agree for dependence, but
38
not for abuse. DSM includes social and legal consequences of abuse
39
and ICD-10 has only medical and psychological consequences. Fewer
40
cases of alcohol abuse meet the ICD-10 definition. In general, an
41
alcohol use disorder is present when an aspect of the patient's
42
function has been compromised
43
by alcohol. Before function is compromised, problematic
44
consumption occurs. Much of the emphasis of screening has shifted
45
toward identifying patients with high alcohol consumption before
46
disease develops. WHO defines hazardous drinking as 4 or more
47
drinks/day for men and 2 or more drinks/day for women. The National
48
Institute on Alcohol Abuse and Alcoholism (NIAAA) defines at-risk
49
drinking as consumption of more than 14 drinks/week or more than 4
50
drinks/occasion for men ages 18 to 65. For women of all ages and
51
men older than age 65, more than 7 drinks/week or more than 3
52
drinks/occasion is considered at risk. Binge drinking alone is also
53
of concern and has been variably defined as more than 3, 4, 5, or 6
54
drinks on an occasion.4
55
Characteristics of an ideal ED screening test or sequence of
56
tests
57
An ideal screening test would be accurate, practical, and
58
motivational. The accuracy of a test can be measured in several
59
ways. For a screening test, high sensitivity is the most desirable
60
parameter. High sensitivity ensures that most of the patients with
61
problems will be detected. High specificity is also desirable to
62
help ensure that positive tests represent real problems. There is a
63
trade off between sensitivity and specificity defined by the
64
receiver operator curve. The area under the operator curve best
65
reflects the performance of a test; the larger the area the better
66
the test. Each point on the curve represents a potential "cut
67
point." A cut point with a high sensitivity and specificity should
68
be manifest in an ideal test.
69
Theoretically, an ideal test should remain accurate throughout
70
the alcohol use spectrum. However, real tests don't perform
71
uniformly across a spectrum. For example, if we're interested in
72
identifying patients with binge drinking, we can define binge
73
drinking as 3, 4, 5, or 6 drinks on an occasion. Screening tests
74
designed for patients with more severe problems (6 drinks) will be
75
less sensitive at identifying patients with less severe problems (3
76
drinks).
77
An ideal test would perform uniformly in all populations and
78
sub-groups. However, when we screen populations with high case
79
rates (trauma admissions, 63%),5 a highly sensitive test with
80
moderate specificity performs well. The same test used to screen a
81
population with low case rates (pregnant clinic patients, 7%)6 does
82
not perform as well. In this population, a test with higher
83
specificity may be needed to avoid
84
too many false positives. A test that is used to screen a
85
diverse population (such as ED patients) will perform better in
86
some subgroups than others based of the different case rates among
87
subgroups.
88
An ideal test should remain accurate in the presence of common
89
ED problems, such as stress, injury, acute illness, intoxication,
90
other drug use, depression, and anxiety disorders. Many of the
91
screening tests were developed outside the ED. Fortunately, many
92
have been applied to ED populations. Hence, their performance has
93
been demonstrated in the presence of some of these distracting
94
factors. An ideal test should also remain accurate with differences
95
in gender, age, race, ethnicity, or language. Some variation in
96
test performance among demographic groups has been demonstrated in
97
studies of screening tests in the ED.7,8 An ideal test in the ED
98
would address both current and lifetime alcohol problems. Current
99
use would more likely prompt referral or counseling, but past use
100
predicts poor outcome from medical problems such as injury.9
101
In research trials, the impracticality of a screening test may
102
not be evident. Research staff do not have to contend with adding a
103
screening test to an already lengthy list of clinical care duties.
104
In clinical practice, several practical issues will make all the
105
difference to successful implementation. The ease of use of a
106
screening test will determine its success. Staff with any level of
107
prior health training and little additional training should be able
108
to administer an ideal test. Results should be immediately
109
available and easy to interpret. The test should be acceptable to
110
regulators, payers, ED staff, and ED patients.
111
Several factors may interfere with implementation. For example,
112
patients may find certain questions offensive, or they may not be
113
willing to have blood drawn or submit to breathalyzers. Clinical
114
staff may be uncomfortable asking some types of questions.
115
Regulators may restrict access to records based on answers to
116
certain questions and add burdens to hospital record-keepers.
117
Payers may pay for some tests and not others. These and other
118
factors may reduce the effectiveness of a screening procedure that
119
has been proven effective in research trials.
120
Most experts agree that an ideal ED test is brief (1 to 2
121
minutes). Most of the quest to develop efficient ED screening has
122
emphasized brevity. However, a longer test could be
123
self-administered. An ideal screening test should not interfere
124
with the routine sequence of medical history, physical examination,
125
and laboratory testing. The test should be
126
confidential since there may be legal, financial, or social
127
consequences to screening positive. Finally, the ideal test should
128
actually motivate the patient to further assessment, counseling, or
129
referral as needed.
130
Currently available screening tests
131
Based on current evidence, screening should be undertaken using
132
one or a combination of structured questionnaires.10 Screening
133
undertaken using clinical impression or biochemical tests is not as
134
accurate or as sensitive as structured questionnaires for
135
identifying alcohol use disorders or problematic consumption.7 Of
136
course, BAC can help identify acute intoxication. The alcohol
137
concentration can be determined by saliva testing, breath analysis,
138
or blood test.11,12
139
Clinical impression
140
Clinicians often use their general impression to help with
141
diagnosis, but clinical impressions concerning alcohol problems can
142
be inaccurate. Trained practitioners counseling alcoholics could
143
identify only 50% of acutely intoxicated patients.13 Primary care
144
physicians and emergency physicians identified fewer than 50% of
145
patients with alcohol problems. Unfortunately, the majority of
146
physicians (54%) screen only those patients they suspect based on
147
their clinical impressions.14-16 Stereotypic profiling may be the
148
consequence of screening only suspected patients. Gentilello
149
reported that in a trauma center ED, staff suspected alcohol-ism in
150
26% of patients who screened negative on structured questionnaires.
151
These patients were more likely to be young, male, disheveled,
152
uninsured, and low income.17 Of course, some ED patients may
153
spontaneously volunteer information about drinking. Cherpitel
154
reported that patient self-report of drinking prior to arrival had
155
a sensitivity of 29% for alcohol problems in the ED.7
156
Structured questionnaires
157
Self-report may be enhanced when specific alcohol questions are
158
asked. Cyr reported that a single question in a primary care
159
setting-"Have you ever had a drinking problem?"-had a high
160
sensitivity (40% to 70%).18 Subsequent reports from other
161
institutions did not replicate the high sensitivity of this single
162
question.19-23 Cherpitel evaluated single question screens in the
163
ED and found them to be less sensitive than structured
164
questionnaires.7
165
Most existing screens were developed for primary care settings
166
to detect alcohol use disorders. The CAGE was developed in 1968 as
167
a brief screening tool for primary care providers to detect alcohol
168
abuse and dependence. CAGE is a mnemonic from four questions, Cut
169
down, Annoyed, Guilty, and Eye opener. The questions address
170
problems over the patient's lifetime. CAGE takes 1 to 2 minutes to
171
administer.24,25
172
The MAST (Michigan Alcohol-Screening Test), developed in 1971 as
173
a screen for alcohol abuse and dependence, has 24 yes/no questions.
174
MAST has been self-administered and used in a computer format. It
175
addresses problems over the patient's lifetime. MAST requires 20
176
minutes to administer. A shortened version of the MAST exists, a
177
10-question Brief (B) MAST. BMAST takes 5 to 12 minutes to
178
administer and performs nearly as well as the longer
179
version.26-28
180
SAAST (Self-Administered Alcoholism Screening Test) was
181
developed in 1972 to screen for alcohol abuse and dependence. It
182
has 35 yes/no questions. While lengthy, the SAAST has the advantage
183
of being self-administered, and it has also been administered in a
184
computerized format. It addresses problems over the patient's
185
lifetime. A shortened, 9-item version, the Brief SAAST, takes the
186
patient 5 to 10 minutes to complete.29,30
187
More recently, screens have been developed to detect at-risk
188
drinkers. WHO developed the AUDIT (Alcohol Use Disorder
189
Identification Test) in 1992 as a brief screening tool to detect
190
at-risk drinking in addition to alcohol abuse and dependence. AUDIT
191
has 10 questions. It assesses problems experienced within the last
192
three months and over the patient's lifetime. AUDIT takes 4 to 8
193
minutes to administer.31,32
194
Several screens have been developed for pregnant women. Concern
195
about even lower levels of alcohol consumption in this group has
196
prompted development of the screens TWEAK, T-ACE, and NET. TWEAK
197
screens for alcohol abuse and dependence. It has five questions,
198
addresses problems over the patient's lifetime, and takes 3 to 5
199
minutes to administer.33 T-ACE also screens for alcohol abuse and
200
dependence. T-ACE has three of the four CAGE questions and replaces
201
the guilt question with tolerance question. T-ACE addresses
202
problems over the patient's lifetime and takes 1 to 2 minutes to
203
administer.34 NET was developed to screen pregnant patients for
204
at-risk drinking, alcohol abuse, and dependence. It is a
205
three-question screen that takes about 1 minute.33
206
One screen has been developed for emergency department use, the
207
Rapid Alcohol Assessment Screen (RAPS4). Cherpitel screened an ED
208
population with questions from CAGE, BMAST, AUDIT, and TWEAK. She
209
created RAPS4 by combining the four highest-yield questions from
210
those screens, which covered feeling guilty after drinking,
211
blackouts, failing to do what is normally expected after drinking,
212
and morning drinking. However, this new instrument has not been
213
studied when administered as a stand-alone test.35
214
In addition to these questionnaires, NIAAA suggests that all
215
primary care physicians ask an opening question-"Do you drink
216
alcohol?"- followed by three questions about alcohol consumption
217
and then the CAGE. This sequence was not explicitly designed or
218
studied as a "screening test." D'Onofrio and others have
219
recommended using the NIAAA approach in the ED.10
220
Studies of screening tests
221
Cherpitel conducted two studies comparing multiple screening
222
tests in the ED. In the first study, TWEAK and AUDIT were most
223
sensitive, identifying 84% and 81% of patients, respectively, with
224
an ICD-10 diagnosis of alcohol dependence.7 In the second study,
225
RAPS and AUDIT were more sensitive than TWEAK and CAGE, identifying
226
79% and 78% compared with 72% and 71%, respectively, of patients
227
with an ICD-10 or DSM-IV diagnosis of alcohol dependence, harmful
228
drinking, or abuse.5,36
229
Soderstrom has compared multiple screening tests in a trauma
230
center. He reported that CAGE performed best, with a sensitivity of
231
84%, for a DSM-IV diagnosis of alcohol dependence.37 Fiellin
232
reviewed 38 studies of screening for alcohol use disorder in the
233
primary care setting. For at-risk, hazardous, or harmful drinking,
234
AUDIT was found most effective with sensitivities of 51% to 97%.
235
For alcohol abuse or dependence, CAGE was found most effective with
236
sensitivities of 43% to 94%. As expected, CAGE and AUDIT performed
237
best within the spectrum of alcohol use they were developed to
238
explore.38
239
Screening biases
240
Cherpitel analyzed variability of test performance in subgroups
241
of ED patients.39 In her first ED study, CAGE, BMAST, AUDIT, and
242
TWEAK were less sensitive among females, whites, and non-injured
243
patients. In
244
her second ED study with Hispanic patients, CAGE, BMAST, AUDIT,
245
TWEAK, and RAPS were less sensitive in females, patients with less
246
acculturation, and non-dependent drinkers.36 Lowering the cut point
247
on these screening instruments improved sensitivity without loss of
248
specificity among females. Using lower cut points for females may
249
maximize screening test performance.40
250
Bradley reviewed nine studies with data on women's responses to
251
screening mainly in primary care settings. CAGE, AUDIT, and TWEAK
252
were the best tests for alcohol dependence among women. Their
253
reported sensitivities were 66% to 92%. All three screens performed
254
better among black women than among white women. TWEAK per-formed
255
better than CAGE or AUDIT among white women. CAGE and AUDIT had low
256
sensitivities (59% and 48% respectively) for alcohol dependence
257
among white women. We must be careful not to employ screening
258
techniques that do not address important subgroups.41
259
Evidence of such low sensitivity in an important subgroup may
260
necessitate use of multiple screens tailored to subgroups. In
261
addition to women, other subgroups such as adolescents, older
262
adults, pregnant women, psychiatric patients, and Spanish speakers
263
may need screening with modified or unique tests. Standard screens
264
may not perform as well in these patient subgroups that may
265
represent a considerable part of the ED population. Adjustment of
266
cut points or use of alternative screening tests may be necessary
267
for these subgroups.
268
Alcohol concentration
269
Many injured ED patients are screened with a BAC, which can help
270
identify intoxication. The presence of alcohol may not always
271
indicate an alcohol problem. While a very high BAC in an unimpaired
272
patient can be a specific screen for dependence,42 BAC is an
273
insensitive screen for an alcohol use disorder. One study found
274
that only one-third of intoxicated drivers had an alcohol use
275
disorder.43 In an ED study, BAC was a poor screen for alcohol abuse
276
or dependence with a sensitivity of 20%, less sensitive than
277
self-reported drinking.7 In another ED study, a saliva alcohol
278
level equivalent to a BAC greater than 0.10 g/dl in an injured
279
patient identified harmful drinkers (AUDIT >
280
8) with a sensitivity of 65%.44 In one trauma
281
center, BAC had a sensitivity of 63% for an alcohol disorder.5
282
Other biochemical markers such as mean corpuscular volume, platelet
283
count, liver enzymes, gamma-glutamyltransferase (GGT),
284
aspartate aminotransferase (AST), alanine aminotransferase
285
(ALT), and carbohydrate deficient transferrin (CDT) perform poorly
286
with sensitivities of 13% to 67% for alcohol use disorders or
287
problematic con-sumption.45-50 Biochemical tests other than BAC may
288
have use in settings other than an ED, but they offer little as
289
screening tests for ED patients.
290
Research questions: improving existing screening
291
questionnaires
292
We still need to find the most accurate test for ED use. This
293
may be RAPS4, which is designed for the ED, but it needs further
294
direct testing. Many tests would be improved by wording questions
295
to address current problems (the past year or three months) rather
296
than lifetime problems. Screening with embedded questions and
297
indirect questions may also improve self-report among adolescents
298
and other groups.20,51-53 These approaches need further testing in
299
the ED.
300
The most practical test may be the shortest, the three-question
301
NET. Further sequencing of questions within questionnaires may also
302
improve efficiency.35 If one question answered "yes" yields a
303
positive test score, asking that one first and stopping as soon as
304
the score is positive would be the most efficient approach.
305
Cherpitel has analyzed the sensitivity of each of the RAPS4
306
questions and sequenced them from most to least sensitive for most
307
efficient use.35
308
Minimizing question sets for interviews will result in obtaining
309
less information. Computer-administered or self-administered
310
screens may address this issue by allowing patients to spend more
311
time completing in-depth questioning with no additional staff
312
time.54,55 This approach promises practical avenues for obtaining
313
more information. A trial of screening tests in various formats
314
(e.g., interview, self-administered forms, and computer
315
interaction) should be undertaken to compare their cost and value
316
in the ED.
317
The most motivational screening test is unknown. Drawing blood
318
and confronting patients with their blood alcohol levels may
319
actually push them away from counseling. Screening questions that
320
reveal the negative consequences or link alcohol to current
321
problems may motivate patients to seek counseling. Providing
322
immediate feedback may help make the transition from screening to
323
counseling with little additional intervention. The motivational
324
aspects of a variety of screens, with and without verbal or
325
computer feedback, need to be explored.
326
Research questions: finding the best approach to screening
327
To determine the best of the available screens, a multi-center
328
trial with a broad demographic mix and a large number of patients
329
subjected to different screens is needed. Further evaluation should
330
be performed of lower cut points for TWEAK, CAGE, and AUDIT. The
331
advantage of tailored screens or specific questions for subgroups
332
such as women,41 adolescents,54-59 and elders,60-64 needs to be
333
determined. RAPS4 must be further tested as a stand-alone screen in
334
isolation and against other tests. A longer, self-administered
335
screen-including one administered by computer-should also be tested
336
in the ED.
337
To determine the best sequence for screening, the approach
338
recommended by NIAAA for primary care should be compared with other
339
sequences. Several trials of variations of the NIAAA approach are
340
warranted. Trials should be conducted starting with other or no
341
opening questions, using other consumption questions such as those
342
in AUDIT, using other screens such as TWEAK rather than CAGE,
343
changing the sequence to CAGE or TWEAK followed by consumption
344
questions, and checking BAC at the beginning or end of the
345
protocol.
346
The best screen should be determined in the context of a
347
screening and intervention program. Some questions or screens may
348
lead naturally to referral and treatment. Others may not promote
349
referral and treatment. Much of the screening literature is
350
isolated from intervention. Future studies need to incorporate
351
evaluation of screening linked to intervention protocols.
352
Barriers to implementing screening
353
In a research protocol in England, nurses were trained to screen
354
all emergency patients with CAGE and then provide feedback. Only
355
20% of patients were screened. Of them, 19% had positive CAGE
356
scores; of those, only 41% were provided feedback. Even with
357
feedback, only 12% accepted follow-up. Of 4,663 patients, only 13
358
were entered into the trial and the trial was abandoned.65,66
359
There are multiple barriers to screening. Nurses identified lack
360
of resources, inadequate training, stress, poor morale, and no
361
perceived value to the intervention. In a survey sponsored by the
362
West Virginia Chapter of the American College of Emergency
363
Physicians, a minority of emergency physicians reported routine
364
screening and counseling of ED patients.67 The authors reported
365
provider attitudes of disinterest,
366
avoidance, disdain, and pessimism as well as inadequate time,
367
insufficient education, and lack of resources as barriers. Surveys
368
and interventions should be undertaken to define and reduce
369
barriers to implementing screening in clinical practice.
370
Currently, screening is a research tool, not a clinical tool. ED
371
staff does not use structured questionnaires for alcohol screening.
372
ED staff has no systematic approach to alcohol screening. Staff
373
chooses to screen some individuals and not others based on clinical
374
suspicions or partially implemented protocols. In general, ED staff
375
screens less often than addiction experts recommend.
376
Universal screening is appropriate in populations with high case
377
rates. EDs have reported high case rates of alcohol problems,
378
especially acute intoxication, from 9% to 31%.17,28,46,68-71 Within
379
the ED, there are even higher case rates in subgroups. Major
380
trauma, injuries, assaults,72 depression, and alcohol-related
381
medical problems like gastrointestinal bleeding or seizures define
382
even higher risk subgroups. Many experts advocate focusing
383
screening on some of the highest-risk groups or screening with
384
greater intensity and different tools in these groups.
385
Implementing screening in clinical practice
386
Any ED staff member could be assigned the screening task.
387
Physician, nurse, clerical, social work, or volunteer staff can
388
conduct screening. We do not know which staff group will be most
389
effective. Self-administered questionnaires, computer screen
390
interactions, or interview techniques may be easier to implement.
391
Screening questions can be stand-alone or embedded into general
392
health questionnaires or existing registration, physician, and
393
nurse documentation. Screening protocols can be mandatory or
394
voluntary. The approaches that will be most effective in ED
395
practice should be determined by studying the implementation of
396
these strategies in actual ED clinical practices. Studies of the
397
translation of efficacious research practice into clinical practice
398
is needed most since screening instruments have been used by
399
research staff and not clinical staff.
400
Impact of screening
401
ED patient care should be improved by implementing alcohol
402
screening programs. A major limit to realizing this improvement is
403
the lack of counseling available to address patients' alcohol
404
problems in most EDs.
405
Most EDs provide very limited alcohol services. When care is
406
unavailable, screening makes little sense to clinicians. Realizing
407
a gain from screening in an ED is entirely dependent upon linking
408
the screening program to some form of counseling, onsite or through
409
referral services. The impact of screening should be demonstrated
410
in ED environments that have treatment available, an adequate
411
volume of alcohol-involved patients, and the capacity to undertake
412
clinical trials. Studies in these centers should demonstrate the
413
benefits of screening: increased referrals, more patients receiving
414
counseling, and better outcomes such as reduction of risk
415
behaviors.
416
Summary: research areas of interest concerning screening
417
The ideal screen that is accurate, practical, and motivational
418
has not been developed. Researchers must continue to analyze the
419
performance of structured questionnaires and try computer-based
420
screening tools in the ED. The sequence of screening tests needs to
421
be evaluated by studying the NIAAA approach and several
422
alternatives. Screening must move from research to clinical
423
practice. Barriers to screening in clinical practice must be
424
identified and removed. Studies of implementation of screening
425
programs in ED clinical practice should be undertaken. The impact
426
of screening on referral and intervention, as well as outcomes such
427
as reduced risk behaviors, must be demonstrated.
428
References
429
1. Lowenstein S, Koziol-McLain J, Thompson M, et al. Behavioral
430
risk factors in emergency department patients: a multisite survey.
431
Acad Emerg Med 1998; 5:781-7.
432
2. American Psychiatric Association. Diagnostic and Statistical
433
Manual of Mental Disorders. Washington (DC): American Psychiatric
434
Press; 1994.
435
3. Spitzer R, Williams J, Gibbon M, et al. User's Guide for the
436
Structured Clinical Interview for DSM-III-R. Washington (DC):
437
American Psychiatric Press; 1990.
438
4. National Institute on Alcohol Abuse and Alcoholism. The
439
Physician's Guide to Helping Patients with Alcohol Problems.
440
Washington (DC): U.S. Department of Health and Human Services;
441
1995. NIH Publication No. 95-3769.
442
5. Soderstrom C, Smith GS, Kufera JA, et al. The accuracy of
443
the CAGE, the Brief Michigan Alcoholism Screening Test, and the
444
Alcohol Use Disorders Identification Test in screening trauma
445
center patients for alcoholism. J Trauma 1997;43:962-9.
446
6. Gale T, Ja W, Welty T. Differences in detection of alcohol
447
use in a prenatal population (on a Northern Plains Indian
448
Reservation) using various methods of ascertainment. South Dakota
449
Journal of Medicine 1998;51:235-40.
450
7. Cherpitel C. Screening for alcohol problems in the emergency
451
department. Ann Emerg Med 1995;26:158-66.
452
8. Cherpitel C. Comparison of screening instruments for alcohol
453
problems between black and white emergency room patients from two
454
regions of the country. Alcohol Clin Exp Res 1997;21:1391-7.
455
9. Jurkovich G, Rivara F, Gurney J, et al. The effects of acute
456
alcohol intoxication and chronic alcohol abuse on outcome from
457
trauma. JAMA 1993;270:51-6.
458
10. D'Onofrio G, Bernstein E, Bernstein J, et al. Patients with
459
alcohol problems in the emergency department, part 1: improving
460
detection. Acad Emerg Med 1998; 5:1200-9.
461
11. Gibb K, Yee A, Martin S, et al. Accuracy and usefulness of
462
the breath alcohol analyzer. Ann Emerg Med 1984;13:516-20.
463
12. Gibb K. Serum alcohol levels, toxicology screens, and use
464
of the breath alcohol analyzer. Ann Emerg Med 1986;15:349-53.
465
13. Sobel M, Sobel L, VanderSpeck R. Relationships among
466
clinical judgement, self-report and breath analysis measures of
467
intoxication in alcoholics. J Consult Clin Psychol
468
1979;47:205-6.
469
14. Becker B, Woolard RH, Nirenberg TD, Minugh A, Longabaugh R,
470
Clifford P. Alcohol use among subcritically injured emergency
471
department patients. Acad Emerg Med 1995;2:784-90.
472
15. Rydon P, Redman S, Sanson-Fisher R, Reid A. Detection of
473
alcohol-related problems in general practice. J Stud Alcohol
474
1992;53:197-202.
475
16. Isaacson J, Butler R, Zacharek M, Tzelepis A. A screening
476
with the Alcohol Use Disorders Identification Test (AUDIT) in an
477
inner-city population. J Gen Intern Med 1994;9:550-3.
478
17. Gentilello L, Villaveces A, Ries RR, et al. Detection of
479
acute alcohol intoxication and chronic alcohol dependence by trauma
480
center staff. J Trauma 1999; 47:1131-9.
481
18. Cyr M, Wartman S. The effectiveness of routine screening
482
questions in the detection of alcoholism. JAMA 1988;259:51-4.
483
19. Fleming M, Barry K. The effectiveness of alcoholism
484
screening in an ambulatory care setting. J Stud Alcohol
485
1991;52:33-6.
486
20. Fleming M, Barry K. A three-sample test of a masked alcohol
487
screening questionnaire. Alcohol 1991;26:81-91.
488
21. Moran M, Naughton B, Hughes S. Screening elderly veterans
489
for alcoholism. J Gen Intern Med 1990;5:361-4.
490
22. Schorling J, Willems J, Klas P. Identifying problem
491
drinkers: lack of sensitivity of the two-question drinking test. Am
492
J Med 1995;98:232-6.
493
23. Taj N, Devera-Sales A, Vinson DC. Screening for problem
494
drinking: does a single question work? J Fam Pract
495
1998;46:328-35.
496
24. Ewing J. Detecting alcoholism: the CAGE questionnaire.
497
JAMA. 1984;252: 1905-7.
498
25. Mayfield D, McLeod G, Hall P. The CAGE questionnaire:
499
validation of a new alcohol screening instrument. Am J Psychiatry
500
1974;131:1121-3.
501
26. Pokorny A, Miller B, Kaplan H. The Brief MAST: a shortened
502
version of the Michigan Alcoholism Screening Test. Am J Psychiatry
503
1972;129:342-8.
504
27. Selzer M. The Michigan Alcoholism Screening Test: the quest
505
for a new diagnostic instrument. Am J Psychiatry
506
1971;127:1653-8.
507
28. Selzer M, Vinokur A, van Rooijen M. A self-administered
508
Short Michigan Alcoholism Screening Test (SMAST). J Stud Alcohol
509
1975;36:117-26.
510
29. Davis L, Jr., Hurt R, Morse R, O'Brien P. Discriminant
511
analysis of the Self-Administered Alcoholism Screening Test.
512
Alcohol Clin Exp Res 1987;11:269-73.
513
30. Davis L, Jr., Morse R. Self-Administered Alcoholism
514
Screening Test: a comparison of conventional versus
515
computer-administered formats. Alcohol Clin Exp Res
516
1991;15:155-7.
517
31. Saunders J, Aasland O, Amundsen A, Grant M. Alcohol
518
consumption and related problems among primary health care
519
patients: WHO Collaborative Project on Early Detection of Persons
520
With Harmful Alcohol Consumption, I. Addiction 1993;88:349-62.
521
32. Saunders J, Aasland O, Babor T, De La Fuente J, Grant M.
522
Development of the Alcohol Use Disorders Identification Test
523
(AUDIT). Addiction 1993;88:791-804.
524
33. Russell M, Martier S, Sokol R, et al. Screening for
525
pregnancy risk-drinking. Alcohol Clin Exp Res 1994;18:1156-61.
526
34. Sokol R, Martier S, Ager J. The T-ACE questions: practical
527
prenatal detection of risk-drinking. Am J Obstet Gynecol
528
1989;160:863-70.
529
35. Cherpitel C. A brief screening instrument for problem
530
drinking in the emergency room: the RAPS4. Rapid Alcohol Problems
531
Screen. J Stud Alcohol 2000;61:447-9.
532
36. Cherpitel C. Differences in performance of screening
533
instruments for problem drinking among blacks, whites and Hispanics
534
in an emergency room population. J Stud Alcohol 1998;59:420-6.
535
37. Soderstrom CA, Smith GH, Kufera JA, et al. The accuracy of
536
the CAGE, the Brief Michigan Alcohol Screening Test, and the
537
Alcohol Use Disorders Identification Test in screening trauma
538
center patients for alcoholism. J Trauma 1997; 43:962-9.
539
38. Fiellin DA, Reid MC, O'Connor PG. Screening for alcohol
540
problems in primary care: a systematic review. Arch Intern Med
541
2000;160:1977-89.
542
39. Cherpitel C, Clark W. Ethnic differences in performance of
543
screening instruments for identifying harmful drinking and alcohol
544
dependence in the emergency room. Alcohol Clin Exp Res
545
1995;19:628-34.
546
40. Cherpitel C. Analysis of cut points for screening
547
instruments for alcohol problems in the emergency room. J Stud
548
Alcohol 1995;56:695-700.
549
41. Bradley KA, Boyd-Wickizer J, Powell SH, Burman ML. Alcohol
550
screening questionnaires in women. JAMA 1998;280:166-71.
551
42. National Criteria Committee, National Council on
552
Alcoholism. Criteria for the diagnosis of alcoholism. Am J
553
Psychiatry 1972;129:127-35.
554
43. Gijbers A, Raymond A, Whelan G, et al. Does a blood alcohol
555
level of 0.15 or more identify accurately problem drinkers in a
556
drunk-driver population? Med J Aust 1991;154:448-52.
557
44. Clifford P, Sparadeo F, Minugh P, et al. Identification of
558
hazardous/harmful drinking among subcritically injured patients.
559
Acad Emerg Med 1996;3:239-45.
560
45. Cleary P, Miller M, Bush B, Warburg M, Delbanco T, Aronson
561
M. Prevalence and recognition of alcohol abuse in a primary care
562
population. Am J Med 1988; 85:466-71.
563
46. Escobar F, Espi F, Canteras M. Diagnostic tests for
564
alcoholism in primary health care: compared efficacy of different
565
instruments. Drug Alcohol Depend 1995;40:151-8.
566
47. Reynaud M, Schellenberg F, Loisequx-Meunier M-N, et al.
567
Objective diagnosis of alcohol abuse: compared values of
568
carbohydrate-deficient transferrin (CDT), gamma-glutamyl
569
transferase (GGT), and mean corpuscular volume (MCV). Alcohol Clin
570
Exp Res 2000;24:1414-9.
571
48. Aithal G, Thornes H, Dwarakanath A, Tanner A. Measurement
572
of carbohydrate-deficient transferrin (CDT) in a general medical
573
clinic: is this test useful in assessing alcohol consumption?
574
Alcohol. 1998;33:304-9.
575
49. Sillanaukee P, Aalto M, Seppa K. Carbohydrate-deficient
576
transferrin and conventional alcohol markers as indicators for
577
brief intervention among heavy drinkers in primary health care.
578
Alcohol Clin Exp Res 1998;22:892-6.
579
50. Yersin B, Nicolet J-F, Decrey H, Burner M, Melle G, Pecoud
580
A. Screening for excessive alcohol drinking: comparative value of
581
carbohydrate-deficient transferrin, gamma-glutamyltransferase, and
582
mean corpuscular volume. Arch Intern Med 1995;155:1907-11.
583
51. Broadhead W, Leon A, Weissman M, et al. Development and
584
validation of the SDDS-PC screen for multiple mental disorders in
585
primary care. Arch Fam Med 1995;4:211-9.
586
52. Leon A, Olfson M, Weissman M, et al. Brief screens for
587
mental disorders in primary care. J Gen Intern Med.
588
1996;11:426-30.
589
53. Hore B, Alsafar J, Wilkins R. An attempt at
590
criterion-oriented validation of an alcoholism questionnaire in
591
general practice. Br J Addict 1977;72:19-22.
592
54. Smith D, Collins M, Kreisberg J, Volpicelli J, Alterman A.
593
Screening for problem drinking in college freshmen. J Am Coll
594
Health 1987;36:89-94.
595
55. Heck E. Developing a screening questionnaire for problem
596
drinking in college students. J Am Coll Health 1991;39:227-31.
597
56. Kokotailo P, Adger H, Jr., Duggan A, Repke J, Joffe A.
598
Cigarette, alcohol, and other drug use by school-age pregnant
599
adolescents: prevalence, detection, and associated risk factors.
600
Pediatrics 1992;90:328-34.
601
57. Werner M, Walker L, Greene J. Screening for problem
602
drinking among college freshman. J Adolesc Health
603
1994;15:303-10.
604
58. Werner M, Walker L, Greene J. Longitudinal evaluation of a
605
screening measure for problem drinking among female college
606
freshmen. Arch Pediatr Adolesc Med 1994;148:1331-7.
607
59. Werner M, Adger H, Jr. Early identification, screening, and
608
brief intervention for adolescent alcohol use. Arch Pediatr Adolesc
609
Med 1995;149:1241-8.
610
60. Dawson D, Archer L. Relative frequency of heavy drinking
611
and the risk of alcohol dependence. Addiction 1993;88:1209-18.
612
61. Willenbring M, Christensen K, Spring W, Jr., Rasmussen R.
613
Alcoholism screening in the elderly. J Am Geriatr Soc
614
1987;35:864-9.
615
62. Bercsi S, Brickner P, Saha D. Alcohol use and abuse in the
616
frail, homebound elderly: a clinical analysis of 103 persons. Drug
617
Alcohol Depend 1993;33:139-49.
618
63. Fulop G, Reinhardt J, Strain J, Paris B, Miller M, Fillit
619
H. Identification of alcoholism and depression in a geriatric
620
medicine outpatient clinic. J Am Geriatr Soc 1993;41:737-41.
621
64. Fink A, Hays RD, Moore AA, Beck JC. Alcohol-related
622
problems in older persons: determinants, consequences, and
623
screening. Arch Intern Med 1996; 156:1150-6.
624
65. Brooker C, Peters J, McCabe C, Short N. The views of nurses
625
to the conduct of a randomised controlled trial of problem drinkers
626
in an accident and emergency department. Int J Nurs Stud
627
1999;36:33-9.
628
66. Peters J, Brooker C, McCabe C, Short N. Problems
629
encountered with opportunistic screening for alcohol-related
630
problems in patients attending an accident and emergency
631
department. Addiction 1998;93:589-94.
632
67. Williams J, Chinnis A, Gutman D. Health promotion practices
633
of emergency physicians. Am J Emerg Med 2000;18:17-21.
634
68. Burke T. The economic impact of alcohol abuse a
635
636
637
638
639