Literature DB >> 28358798

Screening for Excessive Alcohol Use and Brief Counseling of Adults - 17 States and the District of Columbia, 2014.

Lela R McKnight-Eily, Catherine A Okoro, Roberto Mejia, Clark H Denny, John Higgins-Biddle, Dan Hungerford, Dafna Kanny, Joseph E Sniezek.   

Abstract

Excessive and/or risky alcohol use* resulted in $249 billion in economic costs in 2010 (1) and >88,000 deaths in the United States every year from 2006 to 2010 (2). It is associated with birth defects and disabilities (e.g., fetal alcohol spectrum disorders [FASDs]), increases in chronic diseases (e.g., heart disease and breast cancer), and injuries and violence (e.g., motor vehicle crashes, suicide, and homicide).† Since 2004, the U.S. Preventive Services Task Force (USPSTF) has recommended alcohol misuse screening and brief counseling (also known as alcohol screening and brief intervention or ASBI) for adults aged ≥18 years (3).§ Among adults, ASBI reduces episodes of binge-level consumption, reduces weekly alcohol consumption, and increases compliance with recommended drinking limits in those who have an intervention in comparison to those who do not (3). A recent study suggested that health care providers rarely talk with patients about alcohol use (4). To estimate the prevalence of U.S. adults who reported receiving elements of ASBI, CDC analyzed 2014 Behavioral Risk Factor Surveillance System (BRFSS) data from 17 states¶ and the District of Columbia (DC). Weighted crude and age-standardized overall and state-level prevalence estimates were calculated by selected drinking patterns and demographic characteristics. Overall, 77.7% of adults (age-standardized estimate) reported being asked about alcohol use by a health professional in person or on a form during a checkup, but only 32.9% reported being asked about binge-level alcohol consumption (3). Among binge drinkers, only 37.2% reported being asked about alcohol use and advised about the harms of drinking too much, and only 18.1% reported being asked about alcohol use and advised to reduce or quit drinking. Widespread implementation of ASBI and other evidence-based interventions could help reduce excessive alcohol use in adults and related harms.

Entities:  

Mesh:

Year:  2017        PMID: 28358798      PMCID: PMC5657951          DOI: 10.15585/mmwr.mm6612a1

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


Excessive and/or risky alcohol use* resulted in $249 billion in economic costs in 2010 () and >88,000 deaths in the United States every year from 2006 to 2010 (). It is associated with birth defects and disabilities (e.g., fetal alcohol spectrum disorders [FASDs]), increases in chronic diseases (e.g., heart disease and breast cancer), and injuries and violence (e.g., motor vehicle crashes, suicide, and homicide). Since 2004, the U.S. Preventive Services Task Force (USPSTF) has recommended alcohol misuse screening and brief counseling (also known as alcohol screening and brief intervention or ASBI) for adults aged ≥18 years (). Among adults, ASBI reduces episodes of binge-level consumption, reduces weekly alcohol consumption, and increases compliance with recommended drinking limits in those who have an intervention in comparison to those who do not (). A recent study suggested that health care providers rarely talk with patients about alcohol use (). To estimate the prevalence of U.S. adults who reported receiving elements of ASBI, CDC analyzed 2014 Behavioral Risk Factor Surveillance System (BRFSS) data from 17 states and the District of Columbia (DC). Weighted crude and age-standardized overall and state-level prevalence estimates were calculated by selected drinking patterns and demographic characteristics. Overall, 77.7% of adults (age-standardized estimate) reported being asked about alcohol use by a health professional in person or on a form during a checkup, but only 32.9% reported being asked about binge-level alcohol consumption (). Among binge drinkers, only 37.2% reported being asked about alcohol use and advised about the harms of drinking too much, and only 18.1% reported being asked about alcohol use and advised to reduce or quit drinking. Widespread implementation of ASBI and other evidence-based interventions could help reduce excessive alcohol use in adults and related harms. BRFSS is an ongoing state-based, random-digit–dialed telephone survey of the noninstitutionalized U.S. adult population aged ≥18 years. Information is collected on a variety of health conditions, health practices, and risk behaviors, including alcohol use. CDC analyzed 2014 data from 17 states and DC that administered an optional five-question ASBI module.** All respondents were asked three alcohol use screening–related questions: 1) “You told me earlier that your last routine checkup was [within the past year/within the past 2 years]. At that checkup, were you asked in person or on a form if you drink alcohol?”; 2) “Did the healthcare provider ask you in person or on a form how much you drink?”; 3) “Did the healthcare provider specifically ask whether you drank [5 for men/4 for women] or more alcoholic drinks on an occasion?” All respondents were also asked, “Were you offered advice about what level of drinking is harmful or risky for your health?” Finally, persons who responded affirmatively to any of the first three aforementioned questions were asked, “Healthcare providers may also advise patients to drink less for various reasons. At your last routine checkup, were you advised to reduce or quit your drinking?” Binge drinkers were identified by their response to the question, “Considering all types of alcoholic beverages, how many times during the past 30 days did you have [5 for men/4 for women] or more drinks on an occasion?” Analyses were conducted to account for the complex sampling design. Weighted crude and age-standardized overall and state-level prevalence estimates were calculated by selected drinking patterns and demographic characteristics. Only age-standardized estimates are reported in the results section of this report. Wald chi square tests were used to determine significant within-group differences. Only significant differences are reported. The median cooperation rate for the 18 sites was 65.8% and median response rate was 42.7%. Overall, 77.7% of persons reported being asked about alcohol use in person or by form, 68.8% reported being asked how much they drink, and 32.9% reported being asked about binge drinking (Table 1). The prevalence of being asked about binge drinking was higher among males (35.0%), persons with less than a high school diploma (40.1%), and binge drinkers (36.8%) in comparison to their counterparts. Non-Hispanic whites and Asian/Pacific Islanders were asked about binge drinking less than were non-Hispanic blacks, Hispanics, and American Indian/Alaskan Natives.
TABLE 1

Weighted crude and age-standardized* prevalence of U.S. adults who reported being asked an alcohol use screening–related question by a health care provider at last routine checkup in the past 2 years — Behavioral Risk Factor Surveillance System, 17 states and the District of Columbia, 2014

CharacteristicAsked about alcohol use (affirmative to question 1)
Asked how much alcohol (affirmative to question 2)
Asked about binge drinking (affirmative to question 3)
Sample sizeCrude % (95% CI)Age-standardized % (95% CI)Sample sizeCrude % (95% CI)Age-standardized % (95% CI)Sample sizeCrude % (95% CI)Age-standardized % (95% CI)
Total
97,063
76.6 (75.9–77.3)
77.7 (76.9–78.5)
97,589
67.6 (66.8–68.4)
68.8 (67.9–69.6)
87,457
32.1 (31.2–32.9)
32.9 (31.9–33.9)
Sex
Male
39, 170
76.4 (75.3–77.6)
77.3 (76.1–78.5)
39,224
68.0 (66.8–69.3)
68.7 (67.3–70.1)
35,230
34.2 (32.8–35.6)
35.0 (33.5–36.6)
Female
57,893
76.8 (75.9–77.7)
78.1 (77.1–79.1)
58,365
67.2 (66.2–68.3)
68.9 (67.7–70.0)
52,227
30.3 (29.2–31.4)
31.2 (29.9–32.4)
Age group (yrs)
18–24
4,350
76.1 (72.7–79.3)

4,307
58.9 (55.0–62.6)

4,013
24.8 (21.8–28.1)

25–34
7,385
84.2 (82.0–86.1)

7,265
76.0 (73.4–78.5)

6,236
37.5 (34.4–40.7)

35–44
10,326
82.3 (80.4–84.0)

10,184
75.4 (73.2–77.3)

8,536
37.4 (35.0–39.8)

45–64
38,930
78.9 (77.9–79.8)

38,859
72.0 (70.9–73.0)

34,016
34.6 (33.4–35.9)

≥65
36,072
64.0 (62.9–65.2)

36,974
54.3 (53.1–55.4)

34,656
25.2 (24.1–26.3)

Race/ethnicity
White, non-Hispanic
74,533
77.0 (76.2–77.7)
79.2 (78.3–80.1)
75,099
68.8 (67.9–69.6)
71.3 (70.2–72.3)
66,377
29.4 (28.5–30.3)
31.2 (30.0–32.4)
Black, non-Hispanic
5,646
76.9 (74.3–79.3)
76.7 (74.1–79.1)
5,622
65.9 (62.7–68.9)
65.5 (62.2–68.6)
5,287
40.3 (37.1–43.6)
39.4 (36.2–42.7)
Hispanic
7,859
79.4 (77.1–81.5)
78.7 (76.5–80.8)
7,830
68.3 (65.7–70.8)
67.5 (65.1–69.9)
7,384
38.6 (35.8–41.4)
38.5 (35.9–41.3)
Asian/Pacific Islander
2,972
61.4 (56.5–66.1)
60.1 (55.6–64.4)
2,986
51.6 (46.6–56.6)
50.4 (46.1–54.7)
2,852
26.9 (22.3–32.0)
26.3 (22.0–31.2)
American Indian/Alaskan Native
1,788
79.0 (72.4–84.3)
79.3 (73.0–84.4)
1,799
70.2 (62.9–76.6)
68.6 (61.1–75.1)
1,695
39.8 (32.9–47.1)
39.4 (32.7–46.5)
Other non-Hispanic race or multiracial
2,873
76.7 (70.8–81.8)
76.0 (71.0–80.4)
2,862
67.7 (61.1–73.7)
68.9 (63.2–74.1)
2,607
34.6 (28.8–40.8)
37.2 (32.1–42.6)
Education level
Less than high school diploma
6,793
72.7 (69.9–75.2)
74.0 (71.2–76.6)
6,790
62.5 (59.5–65.3)
64.0 (60.9–67.0)
6,569
39.6 (36.6–42.6)
40.1 (36.9–43.4)
High school diploma
25,748
72.9 (71.4–74.3)
74.9 (73.3–76.5)
26,048
61.9 (60.3–63.6)
64.6 (62.8–66.4)
24,250
31.7 (30.1–33.4)
33.4 (31.5–35.4)
College or tech school
64,200
79.3 (78.5–80.1)
80.0 (79.1–80.8)
64,425
71.5 (70.6–72.4)
72.1 (71.0–73.1)
56,334
30.4 (29.4–31.4)
31.0 (29.8–32.2)
Disability status §
Yes
28,117
74.8 (73.4–76.2)
77.7 (75.5–79.7)
28,450
67.3 (65.8–68.7)
71.2 (69.0–73.4)
26,240
33.4 (31.8–35.0)
35.0 (32.3–37.7)
No
68,208
77.3 (76.4–78.1)
77.7 (76.9–78.6)
68,402
67.8 (66.8–68.7)
68.4 (67.4–69.4)
60,566
31.6 (30.6–32.7)
32.3 (31.2–33.4)
Insurance coverage
Yes
91,808
76.6 (75.8–77.3)
78.0 (77.2–78.8)
92,362
67.8 (67.0–68.6)
69.3 (68.3–70.2)
82,623
31.7 (30.8–32.6)
32.7 (31.6–33.7)
No
5,004
77.7 (74.8–80.3)
74.7 (71.8–77.5)
4,973
66.4 (63.1–69.5)
64.2 (61.0–67.3)
4,588
35.6 (32.3–39.0)
35.9 (32.8–39.2)
Current drinker
Yes
50,422
81.3 (80.4–82.2)
81.6 (80.6–82.6)
50,492
74.4 (73.3–75.4)
74.3 (73.2–75.5)
43,641
32.3 (31.1–33.5)
32.3 (31.1–33.6)
No
45,417
71.4 (70.3–72.5)
73.5 (72.3–74.7)
45,859
60.1 (58.9–61.4)
62.8 (61.4–64.2)
42,716
31.8 (30.5–33.1)
33.6 (32.1–35.1)
Binge drinker
Yes
11,365
84.7 (83.0–86.3)
83.9 (82.3–85.4)
11,248
76.2 (74.0–78.2)
76.6 (74.7–78.4)
9,787
35.7 (33.4–38.1)
36.8 (34.6–39.0)
No83,86675.4 (74.6–76.2)76.9 (76.0–77.7)84,49666.3 (65.4–67.1)67.8 (66.8–68.8)76,03431.5 (30.5–32.4)32.7 (31.6–33.8)

Abbreviation: CI = confidence interval.

* Estimates are age-standardized to the 2000 projected population for the United States.

† Respondents were from 17 states (Connecticut, Florida, Hawaii, Indiana, Kansas, Kentucky, Massachusetts, Michigan, Minnesota, Montana, Nebraska, New Mexico, New York, Oregon, Texas, Washington, and Wisconsin) and the District of Columbia.

§ Respondents were asked, “Are you limited in any way in any activities because of physical, mental, or emotional problems?” and “Do you now have any health problem that requires you to use special equipment, such as a cane, a wheelchair, a special bed, or a special telephone?” Persons who responded yes to either question were classified as having a disability.

¶ Binge drinkers were defined as respondents who consumed ≥4 drinks per occasion during the preceding 30 days for women and ≥5 drinks for men. An occasion is generally defined as 2–3 hours.

Abbreviation: CI = confidence interval. * Estimates are age-standardized to the 2000 projected population for the United States. † Respondents were from 17 states (Connecticut, Florida, Hawaii, Indiana, Kansas, Kentucky, Massachusetts, Michigan, Minnesota, Montana, Nebraska, New Mexico, New York, Oregon, Texas, Washington, and Wisconsin) and the District of Columbia. § Respondents were asked, “Are you limited in any way in any activities because of physical, mental, or emotional problems?” and “Do you now have any health problem that requires you to use special equipment, such as a cane, a wheelchair, a special bed, or a special telephone?” Persons who responded yes to either question were classified as having a disability. ¶ Binge drinkers were defined as respondents who consumed ≥4 drinks per occasion during the preceding 30 days for women and ≥5 drinks for men. An occasion is generally defined as 2–3 hours. Among binge drinkers, 37.2% reported being asked at least one of the alcohol use screening–related questions and advised about levels of drinking harmful or risky to their health (Table 2); prevalence was higher among males (43.8%) than females (27.6%) and among binge drinkers with disabilities (46.9%) than among those without disabilities (35.5%). Only 18.1% of binge drinkers who were asked at least one of the alcohol use screening–related questions were advised to reduce their drinking; in this group estimates were higher among males (22.6%) than females (11.4%), among American Indian/Alaska Natives (33.0%) than non-Hispanic whites (15.9%), among persons with a disability (30.1%) than among those without a disability (15.7%), and among persons with less than a high school education (31.3%) than among persons with a college or technical school education (14.1%). By state, the prevalence of binge drinkers being asked at least one of the alcohol use screening–related questions and being advised to reduce drinking ranged from 12.0% in Minnesota to 31.0% in DC (Table 3).
TABLE 2

Weighted crude and age-standardized* prevalence estimates of adult binge drinkers who reported being asked an alcohol use screening–related question and advised about what level of drinking is harmful or risky for their health/advised to reduce their level of drinking by a health care provider at last routine checkup in the past 2 years — Behavioral Risk Factor Surveillance System, 17 states and District of Columbia, 2014

CharacteristicBinge drinkers asked an alcohol use screening–related question
Advised on level of drinking harmful or risky to health
Advised to reduce drinking
Sample sizeCrude % (95% CI)Age-standardized % (95% CI)Sample sizeCrude % (95% CI)Age-standardized % (95% CI)
Total
9,620
36.4 (33.8–39.0)
37.2 (34.9–39.6)
9,855
17.3 (15.2–19.7)
18.1 (16.1–20.2)
Sex
Male
5,436
43.5 (39.8–47.2)
43.8 (40.5–47.1)
5,572
22.6 (19.4–26.1)
22.6 (19.8–25.7)
Female
4,184
25.8 (22.9–29.0)
27.6 (24.6–30.7)
4,283
9.6 (7.8–11.7)
11.4 (9.1–14.2)
Age group (yrs)
18–24
963
38.7 (30.8–47.3)

988
15.3 (8.9–25.0)

25–34
1,624
32.7 (27.4–38.5)

1,657
13.1 (9.5–17.8)

35–44
1,640
31.6 (27.0–36.5)

1,700
16.6 (12.8–21.3)

45–64
4,041
38.0 (34.5–41.7)

4,130
20.9 (17.7–24.5)

≥65
1,352
46.8 (41.2–52.5)

1,380
22.4 (17.8–27.9)

Race/ethnicity
White, non-Hispanic
7,497
36.2 (33.3–39.2)
36.6 (34.0–39.3)
7,701
15.6 (13.1–18.5)
15.9 (13.7–18.5)
Black, non-Hispanic
421
37.8 (28.4–48.2)
39.6 (30.5–49.4)
424
23.0 (16.1–31.8)
25.2 (17.7–34.6)
Hispanic
838
35.0 (28.2–42.5)
37.8 (30.8–45.4)
855
20.8 (15.4–27.4)
23.2 (17.6–29.9)
Asian/Pacific Islander
204
33.8 (19.4–52.1)
33.8 (21.3–49.0)
207
N/A††
19.4 (11.2–31.4)
American Indian/Alaskan Native
190
51.2 (36.3–65.8)
51.2 (38.5–63.8)
187
26.2 (16.2–39.4)
33.0 (22.7–45.2)
Other non-Hispanic race or multiracial
368
33.8 (23.2–46.5)
41.2 (30.5–52.7)
379
17.9 (11.2–27.3)
24.1 (15.9–34.8)
Education level
Less than high school diploma
443
43.1 (33.1–53.7)
44.1 (35.7–52.8)
444
33.6 (24.2–44.6)
31.3 (23.8–39.9)
High school diploma
2,404
37.0 (32.2–42.1)
37.7 (33.3–42.3)
2,443
21.2 (16.9–26.3)
21.4 (17.6–25.8)
College or tech school
6,765
35.1 (32.1–38.3)
35.9 (33.2–38.6)
6,960
13.5 (11.2–16.1)
14.1 (12.2–16.3)
Disability status**
Yes
1,904
45.4 (39.1–51.9)
46.9 (40.2–53.7)
1,930
30.3 (24.1–37.4)
30.1 (23.8–37.2)
No7,69534.4 (31.8–37.2)35.5 (33.0–38.1)7,90114.7 (12.6–17.1)15.7 (13.6–18.0)

Abbreviations: CI = confidence interval; RSE = relative standard error.

* Estimates are age-standardized to the 2000 projected population for the United States.

Binge drinkers were defined as respondents who consumed ≥4 drinks per occasion during the preceding 30 days for women and ≥5 drinks for men. An occasion is generally defined as 2–3 hours.

§ Respondents were from 17 states (Connecticut, Florida, Hawaii, Indiana, Kansas, Kentucky, Massachusetts, Michigan, Minnesota, Montana, Nebraska, New Mexico, New York, Oregon, Texas, Washington, and Wisconsin) and the District of Columbia. Florida and Massachusetts only obtained landline data.

¶ RSE = 0.20–0.30.

** Respondents were asked, “Are you limited in any way in any activities because of physical, mental, or emotional problems?” and “Do you now have any health problem that requires you to use special equipment, such as a cane, a wheelchair, a special bed, or a special telephone?” Persons who responded yes to either question were classified as having a disability.

Estimate not available (N/A) if the RSE >0.30.

TABLE 3

Age-standardized* prevalence estimates of adult binge drinkers who reported being asked an alcohol use screening–related question and advised to reduce their level of drinking by a health care provider at last routine checkup in the past 2 years, by state — Behavioral Risk Factor Surveillance System, 17 states and District of Columbia, 2014.

State/DistrictSample sizePrevalence % (95% CI)
District of Columbia
333
31.0 (24.8–38.0)
Hawaii
623
28.2 (23.5–33.4)
New Mexico
495
23.5 (18.9–28.8)
Florida§
167
22.8 (14.8–33.5)
Texas
904
22.0 (18.0–26.5)
Indiana
310
18.8 (14.0–24.9)
Washington
762
18.7 (15.4–22.7)
Connecticut
560
18.6 (14.6–23.4)
Kentucky
451
18.2 (13.8–23.6)
Massachusetts§
214
18.2 (11.5–27.7)
Montana
541
15.6 (12.0–20.0)
Oregon
334
15.4 (11.5–20.2)
Michigan§
266
14.9 (9.7–22.2)
New York
230
14.2 (9.6–20.4)
Nebraska
875
14.0 (10.6–18.3)
Wisconsin
775
13.3 (10.5–16.9)
Kansas
377
12.7 (9.2–17.3)
Minnesota1,63812.0 (10.2–14.1)

Abbreviation: CI = confidence interval.

* Estimates are age-standardized to the 2000 projected population for the United States.

† Binge drinkers were defined as respondents who consumed ≥4 drinks per occasion during the preceding 30 days for women and ≥5 drinks for men. An occasion is generally defined as 2–3 hours.

§ Estimate is unreliable because relative standard error = 0.20–0.30.

Abbreviations: CI = confidence interval; RSE = relative standard error. * Estimates are age-standardized to the 2000 projected population for the United States. Binge drinkers were defined as respondents who consumed ≥4 drinks per occasion during the preceding 30 days for women and ≥5 drinks for men. An occasion is generally defined as 2–3 hours. § Respondents were from 17 states (Connecticut, Florida, Hawaii, Indiana, Kansas, Kentucky, Massachusetts, Michigan, Minnesota, Montana, Nebraska, New Mexico, New York, Oregon, Texas, Washington, and Wisconsin) and the District of Columbia. Florida and Massachusetts only obtained landline data. ¶ RSE = 0.20–0.30. ** Respondents were asked, “Are you limited in any way in any activities because of physical, mental, or emotional problems?” and “Do you now have any health problem that requires you to use special equipment, such as a cane, a wheelchair, a special bed, or a special telephone?” Persons who responded yes to either question were classified as having a disability. Estimate not available (N/A) if the RSE >0.30. Abbreviation: CI = confidence interval. * Estimates are age-standardized to the 2000 projected population for the United States. † Binge drinkers were defined as respondents who consumed ≥4 drinks per occasion during the preceding 30 days for women and ≥5 drinks for men. An occasion is generally defined as 2–3 hours. § Estimate is unreliable because relative standard error = 0.20–0.30.

Discussion

In 2014, only one in three binge drinkers was asked about alcohol use and advised about risky or harmful drinking levels. Further, only one in six binge drinkers was asked about alcohol use and advised by a health professional to reduce their drinking. A previous CDC report of 2011 BRFSS data found that only one in six U.S. adults reported ever talking with a health professional about alcohol. Because of differences in the methodologies between this prior study and the current study, including the specific ASBI questions asked, populations assessed, and timeframes of reference for the interaction with the health professional (lifetime or ever versus the last 2 years) (), the findings are not directly comparable; however, both reports indicate that critical aspects of ASBI are not occurring routinely. Further, it might be that health professionals are asking about alcohol use on a form and not actually talking with their patients about their consumption. A conversation between patient and provider is traditionally a component of ASBI. While most adults reported being asked about alcohol use during a checkup, only one in three reported being asked about binge-level consumption, even though screening for binge-level consumption is recommended. Without proper screening and assessment, health professionals will not know which patients could benefit from a brief intervention, treatment (which might include pharmacotherapy), or a referral to treatment for alcohol dependence. A recent estimate of the prevalence of past-year alcohol dependence was 3.5% of the total U.S. adult population. Only 10.2% of all excessive drinkers were considered to have past-year alcohol dependence (). Among binge drinkers who were asked about their alcohol use, males and persons with disabilities were more often advised about harmful levels of alcohol use and advised to reduce intake than were females and persons without disabilities. Persons with disabilities might have frequent interactions with the health care system, be older, in poorer physical and mental health, or have co-morbidities that increase their chances of being counseled on alcohol use (). State variations in ASBI provision could be related to differences in levels of consumption and alcohol-related health problems, insurance coverage, or other factors influencing the behavior of health care providers, such as the socioeconomic status of their patients. Despite current policies that support the provision of ASBI, including recommendations for its use by the USPSTF and the related Affordable Care Act requirement that many health plans cover it,*** and availability of evidenced-based clinical and implementation guidelines, these data indicate that all elements of ASBI are not routinely implemented in clinical settings, especially screening as recommended and brief intervention for persons who are screened and found to drink excessively. Federal agencies have supported initiatives to increase delivery of ASBI. For example, since 2014, CDC has funded FASD Practice and Implementation Centers and national partners to focus on systems-level practice change to make ASBI standard in primary care, and published an implementation guide in 2014 for primary care medical practice settings. The Substance Abuse and Mental Health Services Administration (SAMHSA) has funded state and medical education cooperative agreements and grants for ASBI since 2003. SAMHSA also has a national hotline that provides referrals to local treatment facilities, support groups, and community-based organizations (1–800–662-HELP [4357]; online treatment locators) and provides information about billing codes for ASBI reimbursement. The National Institute on Alcohol Abuse and Alcoholism has published clinical guidelines for conducting ASBI.**** In addition, The Community Guide evaluated the effectiveness of electronic screening and brief intervention for excessive alcohol use (which involves the use of computers, telephones, and social media) and recommended it in 2012. The findings in this study are subject to at least four limitations. First, the data are self-reported, which can lead to social desirability and reporting biases. Second, because the data were obtained from 17 states and DC, prevalence estimates might not be nationally representative. Third, BRFSS does not collect information from persons living in some institutional settings (e.g., prison), and the prevalence of ASBI might differ in these groups. Finally, the survey median response rate was 42.7%, raising the possibility of response bias. ASBI is effective in reducing excessive alcohol use, and if used routinely in primary care, could have a significant population-level benefit, particularly if other effective community-level strategies (e.g., increasing alcohol taxes and regulating alcohol outlet density) () are also implemented. Systems-level changes, such as including ASBI in electronic health records with appropriate prompts and screening tools, might facilitate implementation (). Including ASBI measures in performance measurement programs, such as the Healthcare Effectiveness Data and Information Set, might also promote implementation (). Further, the provision of ASBI by physicians and nonphysicians, including nurses, health educators, or other health professionals, has been shown to increase implementation and decrease consumption if multiple implementation strategies are used (i.e. patient, professional, and organizational approaches) (). Kaiser Permanente of Northern California serves 3.8 million members in 15 counties and implemented ASBI in 54 adult primary care clinics in 11 medical centers as a part of the Alcohol Drinking As a Vital Sign (ADVISe) study (). Additional systems-level implementation of ASBI, consistent with recommendations and with the provision of evidence-based community-level strategies, holds promise for broad level reduction of excessive alcohol use.

What is already known about this topic?

Although excessive or risky alcohol use is a major preventable cause of morbidity and mortality, according to 2011 CDC data, only one in six U.S. adults reports ever having a conversation with a health professional about alcohol use. It has been recommended by the U.S. Preventive Services Task Force (USPSTF) that all U.S. adults aged ≥18 years be screened for alcohol misuse and receive brief counseling if needed.

What is added by this report?

Findings from a 5-question module on alcohol screening and brief intervention (ASBI) using Behavioral Risk Factor Surveillance System survey data from 17 states and the District of Columbia in 2014 indicate that only one in three binge drinkers was asked about alcohol use (in person or on a form) and advised about risky drinking levels. Further, only one in six binge drinkers was asked about alcohol use (in person or on a form) and advised to reduce their drinking by a health professional.

What are the implications for public health practice?

Continued work at the health systems and individual practice levels is needed to implement ASBI per the USPSTF recommendation. If ASBI was provided as recommended in all appropriate medical settings, and coupled with recommended, evidence-based community interventions, preventable morbidity and mortality associated with excessive alcohol use might be reduced.
  9 in total

1.  2010 National and State Costs of Excessive Alcohol Consumption.

Authors:  Jeffrey J Sacks; Katherine R Gonzales; Ellen E Bouchery; Laura E Tomedi; Robert D Brewer
Journal:  Am J Prev Med       Date:  2015-10-01       Impact factor: 5.043

2.  An Examination of the Workflow Processes of the Screening, Brief Intervention, and Referral to Treatment (SBIRT) Program in Health Care Settings.

Authors:  David J Kaiser; Georgia Karuntzos
Journal:  J Subst Abuse Treat       Date:  2015-08-14

Review 3.  Behavioral counseling after screening for alcohol misuse in primary care: a systematic review and meta-analysis for the U.S. Preventive Services Task Force.

Authors:  Daniel E Jonas; James C Garbutt; Halle R Amick; Janice M Brown; Kimberly A Brownley; Carol L Council; Anthony J Viera; Tania M Wilkins; Cody J Schwartz; Emily M Richmond; John Yeatts; Tammeka Swinson Evans; Sally D Wood; Russell P Harris
Journal:  Ann Intern Med       Date:  2012-11-06       Impact factor: 25.391

4.  Impact of disability and chronic conditions on health.

Authors:  Katherine Froehlich-Grobe; Denton Jones; Michael S Businelle; Darla E Kendzor; Bjial A Balasubramanian
Journal:  Disabil Health J       Date:  2016-05-03       Impact factor: 2.554

5.  Prevalence of alcohol dependence among US adult drinkers, 2009-2011.

Authors:  Marissa B Esser; Sarra L Hedden; Dafna Kanny; Robert D Brewer; Joseph C Gfroerer; Timothy S Naimi
Journal:  Prev Chronic Dis       Date:  2014-11-20       Impact factor: 2.830

Review 6.  Implementation strategies to enhance management of heavy alcohol consumption in primary health care: a meta-analysis.

Authors:  Myrna Keurhorst; Irene van de Glind; Michaela Bitarello do Amaral-Sabadini; Peter Anderson; Eileen Kaner; Dorothy Newbury-Birch; Jozé Braspenning; Michel Wensing; Maud Heinen; Miranda Laurant
Journal:  Addiction       Date:  2015-09-18       Impact factor: 6.526

7.  Contribution of excessive alcohol consumption to deaths and years of potential life lost in the United States.

Authors:  Mandy Stahre; Jim Roeber; Dafna Kanny; Robert D Brewer; Xingyou Zhang
Journal:  Prev Chronic Dis       Date:  2014-06-26       Impact factor: 2.830

8.  Physician versus non-physician delivery of alcohol screening, brief intervention and referral to treatment in adult primary care: the ADVISe cluster randomized controlled implementation trial.

Authors:  Jennifer R Mertens; Felicia W Chi; Constance M Weisner; Derek D Satre; Thekla B Ross; Steve Allen; David Pating; Cynthia I Campbell; Yun Wendy Lu; Stacy A Sterling
Journal:  Addict Sci Clin Pract       Date:  2015-11-19

9.  Vital signs: communication between health professionals and their patients about alcohol use--44 states and the District of Columbia, 2011.

Authors:  Lela R McKnight-Eily; Young Liu; Robert D Brewer; Dafna Kanny; Hua Lu; Clark H Denny; Lina Balluz; Janet Collins
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2014-01-10       Impact factor: 17.586

  9 in total
  10 in total

1.  Characterization of the Hippocampal Neuroimmune Response to Binge-Like Ethanol Consumption in the Drinking in the Dark Model.

Authors:  Isabella R Grifasi; Scot E McIntosh; Rhiannon D Thomas; Donald T Lysle; Todd E Thiele; S Alex Marshall
Journal:  Neuroimmunomodulation       Date:  2019-01-09       Impact factor: 2.492

2.  Screening for Alcohol Misuse: Practices Among U.S. Primary Care Providers, DocStyles 2016.

Authors:  Cheryl H Tan; Daniel W Hungerford; Clark H Denny; Lela R McKnight-Eily
Journal:  Am J Prev Med       Date:  2017-12-11       Impact factor: 5.043

3.  Binge Drinking by Occupation Groups among Currently Employed U.S. Adults in 32 States, 2013-2016.

Authors:  Taylor M Shockey; Marissa B Esser
Journal:  Subst Use Misuse       Date:  2020-07-03       Impact factor: 2.164

4.  Comparison of Methods for Alcohol and Drug Screening in Primary Care Clinics.

Authors:  Jennifer McNeely; Angéline Adam; John Rotrosen; Sarah E Wakeman; Timothy E Wilens; Joseph Kannry; Richard N Rosenthal; Aimee Wahle; Seth Pitts; Sarah Farkas; Carmen Rosa; Lauren Peccoralo; Eva Waite; Aida Vega; Jennifer Kent; Catherine K Craven; Tamar A Kaminski; Elizabeth Firmin; Benjamin Isenberg; Melanie Harris; Andre Kushniruk; Leah Hamilton
Journal:  JAMA Netw Open       Date:  2021-05-03

5.  Annual report to the nation on the status of cancer, part II: Progress toward Healthy People 2020 objectives for 4 common cancers.

Authors:  S Jane Henley; Cheryll C Thomas; Denise Riedel Lewis; Elizabeth M Ward; Farhad Islami; Manxia Wu; Hannah K Weir; Susan Scott; Recinda L Sherman; Jiemin Ma; Betsy A Kohler; Kathleen Cronin; Ahmedin Jemal; Vicki B Benard; Lisa C Richardson
Journal:  Cancer       Date:  2020-03-12       Impact factor: 6.921

Review 6.  Alcohol Screening and Brief Intervention: A Potential Role in Cancer Prevention for Young Adults.

Authors:  Lela R McKnight-Eily; S Jane Henley; Patricia P Green; Erika C Odom; Daniel W Hungerford
Journal:  Am J Prev Med       Date:  2017-09       Impact factor: 5.043

7.  Prevalence and correlates of hazardous alcohol consumption and binge drinking among men who have sex with men (MSM) in San Francisco.

Authors:  Glenn-Milo Santos; Christopher Rowe; Jaclyn Hern; John E Walker; Arsheen Ali; Marcial Ornelaz; Maximo Prescott; Phillip Coffin; Willi McFarland; H Fisher Raymond
Journal:  PLoS One       Date:  2018-08-17       Impact factor: 3.240

8.  Prioritizing Evidence-based Interventions for Dissemination and Implementation Investments: AHRQ's Model and Experience.

Authors:  Jill S Huppert; Alaina K Fournier; Jasmine L Bihm; Christine S Chang; Therese L Miller; Parivash Nourjah; Stephanie M Chang; Arlene S Bierman
Journal:  Med Care       Date:  2019-10       Impact factor: 2.983

9.  "I Felt I Was Reaching a Point with My Health": Understanding Reasons for Engagement and Acceptability of Treatment Services for Unhealthy Alcohol Use in Primary Care.

Authors:  Megan A O'Grady; Joseph Conigliaro; Svetlana Levak; Jeanne Morley; Sandeep Kapoor; Melanie Ritter; Christina Marini; Jon Morgenstern
Journal:  J Prim Care Community Health       Date:  2021 Jan-Dec

10.  Predictors of alcohol screening quality in a US general population sample and subgroups of heavy drinkers.

Authors:  Meenakshi S Subbaraman; Camillia K Lui; Katherine J Karriker-Jaffe; Thomas K Greenfield; Nina Mulia
Journal:  Prev Med Rep       Date:  2022-09-08
  10 in total

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