CAH staff perceptions of a clinical information system implementation

Am J Manag Care. 2012 May;18(5):244-52.

Abstract

Objectives: This study examines staff perceptions of patient care quality and the processes before and after implementation of a comprehensive clinical information system (CIS) in critical access hospitals (CAHs).

Study design: A prospective, nonexperimental design, evaluation study.

Methods: A modified version of the Information Systems Expectations and Experiences (I-SEE) survey instrument was administered to staff in 7 CAHs annually over 3 years to capture baseline, readiness, and postimplementation perceptions.

Results: Descriptive analyses examined 840 survey responses across 3 survey administrations and job categories (registered nurses [RNs], providers, and other clinical staff). Analysis of variance compared responses for main effects (ie, administration, staff position, hospital, and cohort) and interactions between groups over time. Correlations examined the relationships between variables. In general, the responses indicate a high level of positive perceptions regarding the processes and quality of care in these hospitals. For most of the items, responses were quite consistent across the 3 survey administrations. Significant changes occurred for 5 items; 4 reflecting information flow and increased communication, and 1 reflecting a decrease in improved patient care. Overall, providers had lower mean responses compared with nurses and other clinical staff. Significant interactions between administrations and job categories were found for 4 items.

Conclusions: Even though staff had overwhelmingly positive perceptions of patient care quality and processes, significant differences between providers, RNs, and other clinical staff were observed. Variability was also found across CAHs. Research on CIS implementation in small hospitals is rare and needed to guide the identification of factors and strategies related to success.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Analysis of Variance
  • Attitude of Health Personnel*
  • Electronic Health Records / instrumentation*
  • Health Care Surveys
  • Humans
  • Medical Staff, Hospital / psychology*
  • Patient Care*
  • Perception*
  • Prospective Studies
  • Quality of Health Care*