title: Characteristics of Hospitals Associated with Complete and Partial Implementation of Electronic Health Records.
abstract: (1) To determine the proportion of hospitals with and without implementation of electronic health records (EHRs). (2) To examine characteristics of hospitals that report implementation of EHRs partially or completely versus those that report no implementation. (3) To identify hospital characteristics associated with nonimplementation to help devise future policy initiatives.
  
  
  
  This was a retrospective cross-sectional study using the 2012 American Hospital Association Annual Survey Database. The outcome variable was the implementation of EHRs completely or partially. Independent variables were hospital characteristics, such as staffing, organization structure, accreditations, ownership, and services and facilities provided at the hospitals. Descriptive frequencies were determined, and multinomial logistic regression was used to determine variables independently associated with complete or partial implementation of EHRs.
  
  
  
  In this study, 12.6 percent of hospitals reported no implementation of EHRs, while 43.9 percent of hospitals implemented EHRs partially and 43.5 percent implemented EHRs completely. Overall characteristics of hospitals with complete and partial implementation were similar. The multinomial regression model revealed a positive association between the number of licensed beds and complete implementation of EHRs. A positive association was found between children's general medical, surgical, and heart hospitals and complete implementation of EHRs. Conversely, psychiatric and rehabilitation hospitals, limited service hospitals, hospitals participating in a network, service hospitals, government nonfederal hospitals, and nongovernment not-for-profit hospitals showed less likelihood of complete implementation of EHRs.
  
  
  
  Study findings suggest a disparity of EHR implementation between larger, for-profit hospitals and smaller, not-for-profit hospitals. Low rates of implementation were observed with psychiatric and rehabilitation hospitals. EHR policy initiatives need to target smaller institutions in particular to bridge this possible gap.
authors.affiliation: Mayes College of Healthcare Business and Policy of the University of the Sciences in Philadelphia, PA.
authors.forename: Prajakta
authors.initials: P
authors.lastname: Bhounsule
authors.affiliation: Mayes College of Healthcare Business and Policy of the University of the Sciences in Philadelphia, PA.
authors.forename: Andrew M
authors.initials: AM
authors.lastname: Peterson
mesh_terms: D003430:Cross-Sectional Studies; D016208:Databases, Factual; D004059:Diffusion of Innovation; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D006779:Hospitals, Public / Q000458:organization & administration*; D012189:Retrospective Studies; D014481:United States
keywords: EHRs; characteristics; electronic health records; implementation; services