Literature DB >> 26250088

The effect of health information technology implementation in Veterans Health Administration hospitals on patient outcomes.

Joanne Spetz1, James F Burgess2, Ciaran S Phibbs3.   

Abstract

BACKGROUND: The impact of health information technology (HIT) in hospitals is dependent in large part on how it is used by nurses. This study examines the impact of HIT on the quality of care in hospitals in the Veterans Health Administration (VA), focusing on nurse-sensitive outcomes from 1995 to 2005.
METHODS: Data were obtained from VA databases and original data collection. Fixed-effects Poisson regression was used, with the dependent variables measured using the Agency for Healthcare Research and Quality Inpatient Quality Indicators and Patient Safety Indicators software. Dummy variables indicated when each facility began and completed implementation of each type of HIT. Other explanatory variables included hospital volume, patient characteristics, nurse characteristics, and a quadratic time trend.
RESULTS: The start of computerized patient record implementation was associated with significantly lower mortality for two diagnoses but significantly higher pressure ulcer rates, and full implementation was associated with significantly more hospital-acquired infections. The start of bar-code medication administration implementation was linked to significantly lower mortality for one diagnosis, but full implementation was not linked to any change in patient outcomes.
CONCLUSIONS: The commencement of HIT implementation had mixed effects on patient outcomes, and the completion of implementation had little or no effect on outcomes. IMPLICATIONS: This longitudinal study provides little support for the perception of VA staff and leaders that HIT has improved mortality rates or nurse-sensitive patient outcomes. Future research should examine patient outcomes associated with specific care processes affected by HIT.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health information technology; Hospitals; Patient outcomes

Year:  2014        PMID: 26250088     DOI: 10.1016/j.hjdsi.2013.12.009

Source DB:  PubMed          Journal:  Healthc (Amst)        ISSN: 2213-0764


  4 in total

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Journal:  Appl Clin Inform       Date:  2016-11-02       Impact factor: 2.342

2.  Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived From Nursing Electronic Health Record Data.

Authors:  Karen Dunn Lopez; Alessandro Febretti; Janet Stifter; Andrew Johnson; Diana J Wilkie; Gail Keenan
Journal:  Int J Nurs Knowl       Date:  2016-06-24       Impact factor: 1.222

3.  Adverse inpatient outcomes during the transition to a new electronic health record system: observational study.

Authors:  Michael L Barnett; Ateev Mehrotra; Anupam B Jena
Journal:  BMJ       Date:  2016-07-28

4.  Health Information Technology (HIT) Adaptation: Refocusing on the Journey to Successful HIT Implementation.

Authors:  Po-Yin Yen; Ann Scheck McAlearney; Cynthia J Sieck; Jennifer L Hefner; Timothy R Huerta
Journal:  JMIR Med Inform       Date:  2017-09-07
  4 in total

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