Predicting likelihood of seeking help through the employee assistance program among salaried and union hourly employees.
OBJECTIVE
This research investigated belief, social support and background predictors of employee likelihood to use an Employee Assistance Program (EAP) for a drinking problem.


METHODS
An anonymous cross-sectional survey was administered in the home. Bivariate analyses and simultaneous equations path analysis were used to explore a model of EAP use.


METHODS
Survey and ethnographic research were conducted in a unionized heavy machinery manufacturing plant in the central states of the United States.


METHODS
A random sample of 852 hourly and salaried employees was selected.


METHODS
In addition to background variables, measures included: likelihood of going to an EAP for a drinking problem, belief the EAP can help, social support for the EAP from co-workers/others, belief that EAP use will harm employment, and supervisor encourages the EAP for potential drinking problems.


RESULTS
Belief in EAP efficacy directly increased the likelihood of going to an EAP. Greater perceived social support and supervisor encouragement increased the likelihood of going to an EAP both directly and indirectly through perceived EAP efficacy. Black and union hourly employees were more likely to say they would use an EAP. Males and those who reported drinking during working hours were less likely to say they would use an EAP for a drinking problem.


CONCLUSIONS
EAP beliefs and social support have significant effects on likelihood to go to an EAP for a drinking problem. EAPs may wish to focus their efforts on creating an environment where there is social support from coworkers and encouragement from supervisors for using EAP services. Union networks and team members have an important role to play in addition to conventional supervisor intervention.
D000328:Adult; D000367:Age Factors; D000368:Aged; D000437:Alcoholism / Q000517:prevention & control* / Q000534:rehabilitation*; D003430:Cross-Sectional Studies; D004651:Employment; D005260:Female; D006293:Health Promotion; D006801:Humans; D007750:Labor Unions; D008297:Male; D008875:Middle Aged; D009786:Occupational Health Services / Q000706:statistics & numerical data* / Q000600:supply & distribution*; D010342:Patient Acceptance of Health Care; D011446:Prospective Studies; D012456:Salaries and Fringe Benefits; D012944:Social Support; D011795:Surveys and Questionnaires; D014481:United States