title: Predictors of hospital CEO affiliation with a professional association.
abstract: Based on a 2008 cross-sectional survey of 582 hospital CEOs in the United States, this study reports the findings of two logistic regression models designed to identify CEO and hospital characteristics associated with Member and Fellow status in the American College of Healthcare Executives (ACHE). The purpose of the study was to understand the personal and organizational characteristics of those CEOs who choose to be Members and Fellows of a professional association such as ACHE. The results showed that most (74 percent) of the respondents considered ACHE to be their primary professional association. The results also revealed that a master's degree in health administration [beta = .88, t(427) = 5.35, p < .0001], male gender [beta = .59, t(427) = 3.01, p = .002], and financial incentives provided by the parent hospital [beta = .25, t(427) = 2.73, p = .006] were statistically positively linked with Member status in ACHE. A master's degree in health administration [beta = .81, t(424) = 5.79, p < .0001], male gender [beta = .39, t(424) = 2.25, p = .02], and age [beta = .02, t(424) 2.32, p = .02] were also statistically positively associated with Fellow status in ACHE. Notably, organizational factors such as size, geographic location, for-profit status, and financial strength of the hospital do not seem to play an important role in the CEOs' decision to become a Member or Fellow of ACHE. The implication of these findings is that membership and fellowship at a professional association are influenced by characteristics of the individual, and incentives provided by employers can encourage employees to get involved with their professional associations.
authors.affiliation: Department of Health Administration and Policy, University of Oklahoma Health Sciences Center, Oklahoma City, USA. khaliq@ouhsc.edu
authors.forename: Amir A
authors.initials: AA
authors.lastname: Khaliq
authors.forename: Stephen L
authors.initials: SL
authors.lastname: Walston
mesh_terms: D000367:Age Factors; D016542:Chief Executive Officers, Hospital / Q000191:economics / Q000193:education / Q000523:psychology*; D003430:Cross-Sectional Studies; D004522:Educational Status; D005260:Female; D005544:Forecasting; D006764:Hospitals, Community / Q000191:economics / Q000458:organization & administration*; D006769:Hospitals, General / Q000191:economics / Q000458:organization & administration*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009042:Motivation; D009935:Organizational Affiliation / Q000191:economics / Q000706:statistics & numerical data / Q000639:trends; D012737:Sex Factors; D012955:Societies, Medical / Q000191:economics / Q000706:statistics & numerical data* / Q000639:trends; D014481:United States