Abstract
Background
Excessive alcohol consumption at licensed alcohol establishments (i.e., bars and restaurants) has been directly linked to alcohol-related problems such as traffic crashes and violence. Historically, alcohol establishments have had a high likelihood of selling alcohol to obviously intoxicated patrons (also referred to as “overservice”) despite laws prohibiting these sales. Given the risks associated with overservice and the need for up-to-date data, it is critical that we monitor the likelihood of sales to obviously intoxicated patrons.
Methods
To assess the current likelihood of a licensed alcohol establishment selling alcohol to an obviously intoxicated patron, we conducted pseudo-intoxicated purchase attempts (i.e., actors attempt to purchase alcohol while acting out obvious signs of intoxication) at 340 establishments in one Midwestern metropolitan area. We also measured characteristics of the establishments, the pseudo-intoxicated patrons, the servers, the managers, and the neighborhoods to assess whether these characteristics were associated with likelihood of sales of obviously intoxicated patrons. We assessed these associations with bivariate and multivariate regression models.
Results
Pseudo-intoxicated buyers were able to purchase alcohol at 82% of the establishments. In the fully adjusted multivariate regression model, only one of the characteristics we assessed was significantly associated with likelihood of selling to intoxicated patrons–establishments owned by a corporate entity had 3.6 greater odds of selling alcohol to a pseudo-intoxicated buyer compared to independently-owned establishments.
Discussion
Given the risks associated with overservice of alcohol, more resources should be devoted first to identify effective interventions for decreasing overservice of alcohol and then to educate practitioners who are working in their communities to address this public health problem.
Keywords: alcohol, intoxication, responsible alcoholic beverage service, bars, restaurants
INTRODUCTION
Alcohol establishments directly influence the blood alcohol content (BAC) levels of their customers through their serving practices. Functional impairment, risk, and incidence of alcohol-related problems increase with increased BAC levels (Fell & Voas, 2014; Moskowitz et al., 1985; Savola et al., 2005). Excessive consumption of alcohol at licensed establishments leads to high BAC levels and has been directly linked to specific alcohol-related problems such as traffic crashes and violence. Individuals stopped for drinking and driving often report on-premise establishments (i.e., bars and restaurants) as the most recent location where they consumed alcohol (Cotti et al., 2014; Naimi et al., 2009). As BAC and impairment levels increase, customers are more likely to be involved in aggressive events within establishments (Graham & Wells, 2001; Graham et al., 2006). Professional service staff who provide alcohol to individuals who show obvious signs of intoxication (i.e., overservice) contribute to these problems and this practice is prohibited by law in 48 states in the U.S. (Mosher et al., 2009).
Historically, most on-premise alcohol establishments in the U.S. and other countries have had a high likelihood of selling alcohol to obviously intoxicated patrons (Andreasson et al., 2000; Buvik, 2013; Freisthler et al., 2003; Gosselt et al., 2013; Lenk et al., 2006; Toomey et al., 1999; 2004), despite state laws prohibiting alcohol sales to these individuals (Aiello, 1998). Several studies have been conducted over the past few decades in the U.S. to assess the likelihood of these illegal sales using pseudo-intoxicated purchase attempts (i.e., actors attempt to purchase alcohol while acting out obvious signs of intoxication). In 1990, McKnight and Streff (1994) found that 83% of establishments assessed in Michigan sold to the pseudo-intoxicated buyers prior to an intervention. During the late 1990s and early 2000s, researchers, using protocols similar to the protocol used in the McKnight and Streff study, found that establishments in Minnesota and California, sold alcohol to pseudo-intoxicated patrons 58-83% of the time (Freisthler et al., 2003; Lenk et al., 2006; Toomey et al., 1999; 2004). Toomey and associates (2005; 2008a) also found a high rate of alcohol sales to pseudo-intoxicated buyers at community festivals (89%) and professional sport stadiums (74%).
To guide development of interventions to prevent illegal sales of alcohol to obviously intoxicated patrons, researchers have attempted to identify factors associated with these types of alcohol sales. Often studied are characteristics of the buyers, servers, managers of alcohol establishments, the establishments, and the communities surrounding the alcohol establishments. While individual studies have all identified factors associated with the purchase attempt outcome in their study, only the perceived age of the seller appears to be consistently associated with purchase attempt outcomes across the studies. Younger appearing (under age 30) servers were more likely to serve alcohol to pseudo-intoxicated buyers than older appearing servers in two studies (Toomey et al., 2004; Freisthler et al., 2003).
Given the risks associated with overservice of alcohol and the need for up-to-date data, it is critical that we monitor the likelihood of sales to obviously intoxicated patrons. It is also important to investigate current factors most associated with the propensity for these illegal alcohol sales to guide interventions focusing on preventing such sales. This study specifically addresses the following research questions: (1) What is the current likelihood of sales to obviously intoxicated patrons? and (2) What factors are associated with likelihood of an establishment selling alcohol to an obviously intoxicated patron?
METHODS
This study describes baseline results from a randomized controlled trial designed to evaluate effects of a management training program promoting responsible alcohol service in bars and restaurants in a large Midwestern metropolitan area. The primary outcome measure for this study was pseudo-intoxicated purchase attempts, which was chosen because it represents an objective assessment of the propensity of on-premise establishments to sell alcohol to obviously intoxicated patrons. While other measures of overservice of alcohol have been used in other studies (e.g., purchasing several drinks within a short period of time), Saltz and Stanghetta (1997) concluded that pseudo-intoxicated purchase attempts provide a quicker and clearer test of training effects. Baseline data used in this study include the pseudo-intoxicated purchase attempts, establishment observations, and a manager survey. Research protocols were approved by the University of Minnesota Institutional Review Board.
Establishments
Lists of licensed on-premise alcohol establishments (i.e., bars, restaurants) were obtained from the state licensing office for 15 communities–two cities and 13 communities located in the surrounding suburbs. Additional, newer establishments were identified through city licensing offices and through searches of local news publications. Communities ranged in size from 19,540 to 382,578 and had 20 to 334 on-premise establishments (total establishments across communities = 1132). Recruitment information was mailed to each establishment on the list within a given community, with research staff following up with telephone recruitment. Of the 1132 establishments, 283 did not meet eligibility criteria (e.g., had gone out of business, no longer had a liquor license). Of the 849 where we attempted to contact a manager, 40% (n=342) agreed to participate in the study and were randomly assigned to condition (full intervention or delayed brief intervention). One establishment went out of business prior to completion of baseline data collection and one agreed to participate but never scheduled their initial training, so no purchase attempts were completed at this establishment. Our final number of establishments was 340.
Purchase attempts/observations
We conducted pseudo-intoxicated purchase attempts at 340 establishments at baseline (prior to intervention). A buyer, following a standardized protocol, acted out obvious signs of intoxication while attempting to buy alcohol at each study establishment. All buyers were accompanied by an observer who entered with the buyer to observe the interaction between the server and the buyer. We have trained multiple teams of observers and buyers to administer this protocol and conducted more than a thousand purchase attempts using this protocol across multiple studies (Lenk et al., 2006; Toomey et al., 1999; 2004).
Buyers and observers were recruited through advertisements in local newspapers and online job posting sites. Each actor auditioned before a panel of judges who rated the actors’ skills at feigning intoxication. The panel included individuals with experience in the hospitality industry. The remaining panel members represented the “reasonable person” recognized by statutory and case law as the standard by which conduct is judged. Actors rated highly by the panel in terms of ability to act obviously intoxicated were chosen for the study. All buyers were provided ongoing training, and regularly monitored by the evaluation coordinator to ensure the study protocol was closely followed and consistently presented across establishments and time.
For each purchase attempt, pseudo-intoxicated buyers entered the establishment while exhibiting very specific intoxication behaviors (e.g., loss of coordination, fumbling with items in the pocket, acting disoriented). Before ordering, the buyer asked several confused questions of the bartender/server while demonstrating slow and slurred speech, inappropriate laughter, and forgetfulness. After asking a few times what kind of beer they serve, the buyer ordered a draft beer. If refused, the buyer typically asked for the time and made an excuse to leave. If the buyer was served, he or she asked twice how much he/she owed, paid the server, and then asked for directions to the rest room. The buyer waited a few minutes, left the drink on the bar or table, and exited the establishment. If at any time the buyer was asked for identification, he or she presented real identification. If asked if he/she was driving, the buyer said he/she was not driving. The observer left the establishment with the buyer as a safety precaution. Upon returning to the car (out of sight of establishment), the buyer and the observer completed report forms that assessed establishment and server characteristics and perceptions about the awareness of the buyer’s intoxication level. Visits to all establishments were made between 5:00 p.m. and 11:00 p.m. on Friday and Saturday evenings.
Manager survey
Research staff conducted baseline surveys of the general managers who agreed to participate in the trial. Research staff first attempted to conduct the survey by telephone. If the baseline survey was not completed prior to the first training session, staff brought a hard copy to the first session and invited the managers to complete it prior to beginning the training. We obtained a completed survey at 98% of the establishments (42% by telephone and 58% completed a written version). The survey assessed managers’ characteristics, attitudes, perceptions, and confidence regarding policy implementation and responsible service of alcohol.
Measures
The dependent variable was whether the buyer was able to obtain alcohol from their purchase attempt (yes, no). Given the lack of consistency in results across previous studies on factors affecting purchase attempt outcome, we included a wide range of independent variables, focusing on factors that could help guide or target interventions for preventing overservice of alcohol. We measured independent variables across five categories: buyer, purchase attempt, server, manager, and establishment/neighborhood characteristics.
Buyer characteristics were gender (male, female) and age (24-64 years of age; recoded to a three level variable: <30, 30-50, >50). Purchase attempt characteristics were obtained from buyer and observer forms and included: time of purchase attempt (before 7pm vs. 7pm or later), how crowded the establishment was at the time of the purchase attempt (very crowded, somewhat, or not at all crowded; recoded to very crowded vs. somewhat/not at all), and where the purchase attempt took place (at bar, at table, or in standing room only; dichotomized to at bar vs. table/standing). Server characteristics were also collected through buyer and observer forms: gender (male, female) and perceived age (under 21, 21-30, 31+; recoded to <31, 31+).
Manager characteristics were developed using items from the manager survey. Two items were then number of years the manager worked in the service industry (<1 year, 1-5 years, 6-10 years, >10 years; recoded to ≤10 vs >10) and how often the manager held staff meetings to discuss solutions to problems servers are having regarding responsible alcohol service (a six-level variable dichotomized to less than monthly vs. at least monthly). Four measures were based on how strongly managers agreed with a series of statements measured through a five-point Likert scale that was dichotomized for analyses (strongly agree vs. less agreement). Statements were: (1) I will always support my servers’ decisions to cut off an intoxicated customer; (2) management has developed and communicated the steps staff should take when they cut off an intoxicated customer; (3) when the establishment is open at least one manager frequently walks around to monitor staff and customers; and (4) a business in my community will be cited by licensing or police if they serve alcohol to obviously intoxicated customers.
We created five measures of establishment/neighborhood characteristics based on observations and collected on buyer and observer forms: (1) type of establishment (primarily restaurant, primarily bar, equally bar and restaurant); (2) type of neighborhood (residential vs. commercial); (3) quality of establishment (upscale, general, or downscale’ recoded to upscale vs. general/downscale); (4) whether security staff was present at the door (yes, no); and (5) number of advertisements for drink specials and happy hours (none, few, many; recoded to none vs. few/many). From the licensing list we constructed a measure for type of alcohol license (full liquor license vs. beer/wine only) and location (city vs. suburb). Two measures of establishment characteristics were constructed from items from the manager survey, including: (1) establishment has written policies concerning the sale of alcohol (yes, no); and (2) percentage of front of house staff that has turned over within the past year (<10%, 11-25%, 26-50%, 51-75%, 76-100%; dichotomized to ≤25% vs >25%). At the time of recruitment, research staff requested information about the number of servers in each establishment; from these data we calculated a server size measure (0-150; recoded to a three-level variable 0-9, 10-19, 20+). Finally, we created two variables from other sources–type of ownership and closing time (on Saturdays). We characterized ownership of the establishments as independent versus corporate, with independent establishments being owned by individuals or families and corporate establishments owned as part of chain or a larger holding company (determined via establishment websites, Internet searches, and discussions with management). For closing time we created a dichotomous measure, 11pm or earlier vs. after 11pm, as a rough proxy for distinguishing establishments that are primarily restaurants (that close at or before 9pm) versus establishments that may be primarily a bar or a combination of a bar and restaurant. We obtained closing time information through establishment websites and telephone calls to establishments.
In addition, two measures pertained to whether the server appeared to notice the buyers’ apparent intoxication–reported separately by buyers and observers on a five-point Likert scale (1=definitely did not notice, 5=definitely noticed; recoded to definitely noticed vs. other). These two variables are reported as descriptive measures only because they are likely on the causal pathway of serving alcohol to an obviously intoxicated patron. As a potential mediator, we chose not to include it in the model where we trying to identify potential predictors of sales to intoxicated patrons. Recoding on all variables was based on frequency distributions.
Analyses
Following descriptive statistics for all measures, we conducted bivariate analyses (chi-square) to assess the association between each independent variable and the dependent variable. Independent variables that were statistically significant (p ≤ 0.10) in bivariate analyses were included in a logistic multivariate regression model, controlling for differences in individual buyer’s propensity to be sold alcohol and nesting of establishments within community (i.e., included buyer identification and community as random effects). Statistical significance was assessed at the p < 0.05 level for the multivariate analyses.
RESULTS
Descriptive statistics
Pseudo-intoxicated buyers were able to purchase alcohol at 82% of the bars and restaurants. The buyer was male in 50% of purchase attempts, and the buyer was older than 50 years of age in 50% of attempts (Table 1). Purchase attempts were conducted at 7:00 p.m. or later 50% of the time, in a very crowded setting 22% of time and at the bar (vs. at table or standing) 59% of the time. The server was male in 49% of the purchase attempts and appeared to be 31 or older in 33% of the attempts. The buyer and observer reported that the server definitely noticed the buyer’s apparent intoxication level in just over half of the purchase attempts (54% and 53%, respectively; Pearson’s Correlation r = 0.55).
Table 1.
Descriptive statistics for purchase attempts, managers, establishments, and neighborhoods
% (n) of purchase attempts |
|
| |
Buyer characteristics | |
Male | 50 (169) |
Age | |
<30 | 17 (59) |
30-50 | 33 (112) |
>50 | 50 (169) |
Purchase attempt characteristics | |
Time: 7pm or later | 50 (159) |
How crowded | |
Very | 22 (73) |
Somewhat/not at all | 36 (253) |
Location | |
At bar | 59 (201) |
Table/standing | 41 (138) |
Server definitely noticed intoxication | |
Reported by buyer | 54 (177) |
Reported by observer | 53 (172) |
Server characteristics | |
Male | 49 (160) |
Perceived age: ≥31 | 33 (106) |
| |
% (n) of managers/establishments |
|
| |
Manager characteristics | |
>10 years in industry | 77 (260) |
At least monthly staff meetings | 36 (119) |
Will always support servers in cutting off intoxicated customers (strongly agree) |
87 (293) |
Developed/communicated steps to servers about cutting off patrons (strongly agree) |
40 (133) |
At least one manager monitors establishment (strongly agree) |
71 (231) |
A business will be cited for selling to intoxicated patrons (strongly agree) |
65 (216) |
Establishment/neighborhood characteristics | |
Type of establishment | |
Primarily restaurant | 40 (131) |
Primarily bar | 29 (94) |
Equally bar/restaurant | 31 (101) |
Type of license | |
Full liquor | 70 (238) |
Beer/wine only | 30 (102) |
Location | |
City | 64 (217) |
Suburb | 36 (123) |
Type of neighborhood | |
Residential | 17 (59) |
Commercial | 83 (281) |
Quality of establishment | |
Upscale | 32 (103) |
General/downscale | 68 (223) |
Type of ownership | |
Independent | 83 (281) |
Corporate | 17 (59) |
Closing time before or at 11pm | 45 (133) |
Security present | 9 (32) |
No advertisements | 61 (200) |
Has written policies | 64 (214) |
Over 25% turnover of front of house staff | 28 (94) |
Number of servers employed | |
0-9 | 32 (109) |
10-19 | 29 (99) |
20+ | 39 (132) |
The majority (77%) of the managers of the participating establishments had worked more than 10 years in the hospitality industry. Just over one-third of the managers reported having at least monthly staff meetings to discuss problems that servers may be having regarding responsible alcohol service. The majority of managers strongly agreed that they would always support their servers cutting off service to intoxicated customers (87%), that at least one manager frequently walks around to monitor staff and customers (71%), and that a business in their community will be cited by licensing or police if they serve alcohol to obviously intoxicated customers (65%). However, less than half of the managers (40%) strongly agreed that management has developed and communicated the steps staff should take when they cut off an intoxicated customer.
The majority of participating establishments were a bar or restaurant/bar (60%), had a full liquor license (70%), were located in a city (64%) versus suburb, were in a commercial (83%) vs. residential area, were of general/downscale quality (68%), were independently (83%) vs. corporate owned, and closed after 11pm (55%). The majority of establishments also had no security staff at the door (91%), had no advertisements for drink specials or happy hours (61%), had written policies regarding alcohol service (64%), and had fairly low staff turnover (72%). Approximately a third of establishments employed fewer than 10 alcohol servers and more than a third employed greater than 20 alcohol servers.
Bivariate
Alcohol sales were more likely if the buyer was male and if the buyer was less than 30 or over 50 (Table 2). The only purchase attempt characteristic that was significantly associated with purchase attempt outcome was that a sale was less likely if the establishment was very crowded at time of the purchase attempt. None of server characteristics were significantly associated with purchase attempt outcomes in the bivariate analyses, and only one manager characteristic was associated with likelihood of illegal sales–establishments where managers strongly agreed that a business in their community would be cited for selling alcohol to intoxicated customer were more likely to sell alcohol to our buyers. Several establishment characteristics were associated with purchase attempt outcome. Establishments located in the suburbs (vs. city), those that were perceived as not upscale, and those owned by corporations were more likely to serve our buyer. Those that did not have written policies regarding alcohol service and those that employed fewer alcohol servers were more likely to sell to our pseudo-intoxicated buyers.
Table 2.
Bivariate and multivariate results: Associations between independent variables and sales rate to pseudo-intoxicated buyers
Bivariate | Multivariate | ||
---|---|---|---|
|
|||
Independent Variables | Sold to pseudo- intoxicated patron1 |
Chi square (p-value) |
Odds ratio (95% confidence interval) |
Buyer Characteristics | |||
Gender | 9.87 (0.002)* | ||
Male | 88.0 | 3.69 (0.71, 19.30) | |
Female | 74.4 | referent | |
Age | 13.82 (0.001)* | ||
<30 | 86.2 | 0.65 (0.09, 4.62) | |
30-50 | 69.3 | 1.00 (0.15, 6.75) | |
>50 | 86.8 | referent | |
Purchase Attempt Characteristics | |||
Time | 0.03 (0.86) | ||
Before 7pm | 80.9 | ||
7pm or later | 81.7 | ||
How crowded | 4.16 (0.04)* | ||
Very | 73.6 | 0.65 (0.30, 1.43) | |
Somewhat/not at all | 84.1 | referent | |
Location | 1.44 (0.23) | -- | |
At bar | 79.2 | ||
Table/standing | 84.5 | ||
Server Characteristics | |||
Gender | 0.11 (0.74) | -- | |
Male | 82.5 | ||
Female | 81.1 | ||
Perceived age | 0.38 (0.54) | -- | |
<31 | 82.1 | ||
≥31 | 79.3 | ||
Manager characteristics | |||
Years in industry | 2.26 (0.13) | -- | |
≤10 years | 75.3 | ||
>10 years | 83.1 | ||
Frequency of staff meetings | 0.37 (0.54) | -- | |
Less than monthly | 80.6 | ||
At least monthly | 83.3 | ||
Will always support servers in cutting off intoxicated customers |
0.33 (0.57) | -- | |
Strongly agree | 81.8 | ||
Less agreement | 78.1 | ||
Developed/communicated steps to servers about cutting off customer |
1.08 (0.30) | -- | |
Strongly agree | 84.1 | ||
Less agreement | 79.5 | ||
At least one manager monitors | 0.23 (0.63) | -- | |
Strongly agree | 80.8 | ||
Less agreement | 83.2 | ||
A business will be cited for selling to intoxicated |
4.25 (0.04)* | ||
Strongly agree | 84.5 | 1.74 (0.87, 3.49) | |
Less agreement | 75.0 | referent | |
Establishment/neighborhood characteristics |
|||
Type of establishment | 3.96 (0.14) | -- | |
Primarily restaurant | 86.3 | ||
Primarily bar | 79.8 | ||
Equally bar/restaurant | 76.2 | ||
Type of license | 0.008 (0.93) | -- | |
Full liquor | 81.4 | ||
Beer/wine only | 81.0 | ||
Location | 10.4 (0.001)* | ||
City | 75.9 | 0.59 (0.25, 1.39) | |
Suburb | 90.2 | referent | |
Type of neighborhood | 1.05 (0.30) | -- | |
Residential | 76.4 | ||
Commercial | 82.3 | ||
Quality of establishment | 3.06 (0.08)* | ||
Upscale | 75.7 | 0.54 (0.26, 1.15) | |
General/downscale | 83.9 | referent | |
Type of ownership | 4.96 (0.03)* | ||
Corporate | 91.5 | 3.61 (1.15, 11.31)** | |
Independent | 79.0 | referent | |
Closing time | 0.83 (0.36) | ||
Before or at 11pm | 83.3 | ||
After 11pm | 79.1 | ||
Security present | 0.15 (0.70) | -- | |
Yes | 78.6 | ||
No | 81.5 | ||
Number of advertisements | -- | ||
None | 81.3 | 0.08 (0.78) | |
Few/many | 82.5 | ||
Has written policies | 3.35 (0.07)* | ||
Yes | 78.3 | 0.48 (0.22, 1.05) | |
No | 86.6 | referent | |
Percentage of staff turnover | 0.05 (0.83) | -- | |
≤25% | 80.9 | ||
>25% | 81.9 | ||
Number of servers | 7.90 (0.02)* | ||
0-9 | 90.2 | 1.67 (0.65, 4.30) | |
10-19 | 76.0 | 0.96 (0.43, 2.13) | |
20+ | 78.1 | referent | |
Server noticed intoxication (buyer)2 | 58.7 (<.0001) | -- | |
Definitely | 66.1 | ||
Other | 99.3 | ||
Server noticed intoxication (observer)2 | 65.3 (<.0001) | -- | |
Definitely | 65.3 | ||
Other | 100 |
significant at p ≤ .10; included in multivariate models
significant at p < .05
Percentage of establishments for each level of variable
Variable used only for descriptive purposes
-- variable not included in model
Multivariate
Only one independent variable was significant in the multivariate model (Table 2). Corporate establishments had 3.6 greater odds of selling alcohol to a pseudo-intoxicated buyer compared to independent establishments.
DISCUSSION
We have not made progress in reducing the likelihood of illegal alcohol sales to obviously intoxicated patrons–the large majority (82%) of bars and restaurants sold alcohol to individuals who acted out clear signs of intoxication. In the current study we found that 4 out of 5 attempts by individuals who exhibited obvious signs of alcohol intoxication were served alcohol, despite laws prohibiting this practice. This finding indicates little or no progress from similar sales rates dating to the 1990s (Freisthler et al., 2003; Lenk et al., 2006; McKnight & Streff, 1994; Toomey et al., 1999; 2004). The reason for this lack of progress is no doubt complex. However, it stands in stark contrast to the improvements made in illegal sales to individuals who are under the legal drinking age. In the early 1990’s, young purchasers were able to purchase alcohol in the majority of alcohol establishments (~75-100%) across communities (Forster et al., 1994; 1995; Preusser & Williams, 1992). More recently estimates for young appearing buyers have ranged from 26 to 39% across cities (Britt et al., 2006; Freisthler et al., 2003; Paschall et al., 2007; Toomey et al., 2008b).
We found that corporate-owned establishments were more likely to serve alcohol to our pseudo-intoxicated buyers. The reason for this finding is not clear; more research is needed to determine how these corporate establishments differ from independently-owned establishments in terms of their policies and training practices. It is possible that the corporate establishments that agreed to participate in our overall study differ from the corporate establishments that refused to participate. However, we found no differences between participants and non-participants in this study in terms of license type or location. Furthermore, in a previous study we did not find any differences in likelihood of illegal sales to underage or obviously intoxicated patrons between those who agreed to participate in an intervention study versus those that did not (Fabian et al., 2005)
In the multivariate analyses, we did not find an association between the purchase attempt outcomes and any other establishment characteristic or characteristics of the buyer, server, manager or neighbourhood. This finding, combined with the lack of consistent findings across studies in this area, suggests that the potential for overservice of alcohol is pervasive, with all types of on-premise establishments at some risk for illegal sales to obviously intoxicated patrons. It is also possible that researchers have not yet identified or measured critical characteristics that would differentiate among establishments that serve alcohol to obviously intoxicated patron and those that do not.
It is possible that communities are not paying significant attention to the overservice issue. In a recent survey of enforcement agencies, only 55% of state alcohol beverage control agencies and 19% of local police/sheriff agencies indicated they conducted enforcement to address overservice of alcohol despite the fact that 90% of state agencies and 55% of local agencies reported that sales to obviously intoxicated patrons was somewhat or very common in their jurisdictions (Lenk et al., 2014). Most agencies that indicated doing overservice enforcement did not conduct these enforcement efforts regularly. This is consistent with low rates of agreement in our manager survey about the likelihood of being cited for service to intoxicated patrons.
This lack of enforcement targeting overservice of alcohol may be in part due to a lack of resources and also because efficient and cost-effective enforcement methods have not been identified. Local law enforcement agencies were more likely to conduct overservice enforcement if they had a full-time officer specifically assigned to conduct alcohol enforcement efforts (Lenk et al., 2014). A challenge for law enforcement agencies, however, is that there is not a quick way to observe and subsequently penalize establishments for serving alcohol to an obviously intoxicated patron. To prevent sales to underage customers, law enforcement agencies conduct compliance checks where underage youth attempt to purchase alcohol while supervised by law enforcement agents (Erickson et al., 2014). If an alcohol sale is made, the license holder and/or the server is penalized. Compliance checks are effective and can be efficiently conducted in many establishments in one night (Wagenaar et al., 2005). In contrast, undercover law enforcement agents may need to sit for hours within one establishment before observing a sale to an intoxicated customer. It is not feasible from a liability standpoint for law enforcement agents to conduct compliance checks using persons who are actually intoxicated.
A potential alternative approach would be for law enforcement to do regular, visible observational visits at establishments. Just being aware that law enforcement is conducting these observations may result in a deterrent effect. McKnight and Streff (1994) found this awareness approach may be effective for reducing over service of alcohol. This is analogous to roadside drinking and driving checkpoints that result in general deterrent effects without a high likelihood of catching individual offenders (Shults et al., 2001). However, further research is needed to assess the sustainability of effects.
Graham and colleagues (2014) suggest that other challenges to addressing overservice of alcohol through enforcement is the lack of a standardized and validated measure for defining intoxication and the political will to address this issue. They suggest we should adopt principles from the drinking and driving field, including “…applying validated and widely accepted criteria for defining when a person is “intoxicated;” adopting a structure of enforceable consequences for violations; implementing procedures of unbiased enforcement; using publicity to ensure that there is a perceived high risk of being caught and punished; and developing the political will to support ongoing enforcement.”
A complementary approach to addressing overservice of alcohol is to mandate training to promote responsible alcohol service. As in previous studies, we found that alcohol servers who seemed to recognize that our buyers were intoxicated were significantly less likely to serve alcohol to them. Training programs can encourage servers to observe customers for intoxication level, to recognize signs of intoxication, and then to refuse sales to those who are obviously intoxicated. However, evidence of the effectiveness of responsible beverage service (RBS) training on its own is mixed. A few older, smaller studies suggest that combined manager and server RBS training may reduce BAC levels of customers (Mosher et al., 1989; Saltz, 1987); but other studies have not found significant effects on alcohol sales to obviously intoxicated patrons (e.g., McKnight, 1989). Toomey and associates (2008b) evaluated an intensive management training program–Alcohol Risk Management (ARM)–focused on developing establishment policies to promote responsible alcohol sales and found a decrease in likelihood of sales to obviously intoxicated patrons immediately following the training; but the effects decayed within three months. More research is needed to determine whether effects from RBS programs such as the ARM Training can be sustained.
This study was limited by a cross-sectional design. Additionally, some of our measures were self-reported by establishment managers, who may have provided socially desirable responses. However, in this and earlier studies (Lenk et al., 2006; Wolfson et al., 1996a,b), we did observe managers of alcohol establishments reporting undesirable attitudes and behavior. Finally, this study was conducted in one Midwestern, metropolitan area. Although this limits the generalizability of these findings, this study should be considered as part of the larger literature focused on overservice of alcohol that has previously found a high likelihood of sales of alcohol to obviously intoxicated patrons in many types of venues (Freisthler et al., 2003; Lenk et al., 2006; Toomey et al., 1999; 2004).
In conclusion, the propensity for sales to obviously intoxicated patrons has been assessed in multiple states across nearly 25 years and different types of venues and found to be consistently high. Given the risks associated with overservice of alcohol, more resources should be devoted first to identify effective interventions for decreasing overservice of alcohol and then to educate practitioners who are working in their communities to address this public health problem.
ACKNOWLEDGEMENTS
We would like to thank William Baker who managed all data, Shanda Hunt for assisting with recruitment and data collection, the buyers and observers who collected purchase attempt data, and all manager survey participants.
Supported by a grant from the National Institute of Alcohol Abuse and Alcoholism (R01AA018169-01A1; T. Toomey, Principal Investigator)
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