Health Information Technologies: Which Nursing Homes Adopted Them?

Ning Zhang, Susan F. Lu, Biao Xu, Bingxiao Wu, Rosa Rodriguez-Monguio, Jerry Gurwitz

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Purpose: Long-term care facilities have lagged heavily behind other health providers in adopting health information technology (IT). This article examines the facility characteristics that are associated with health IT adoption. Design and Methods: This study is a secondary data analysis of information gathered between 2005 and 2011 about nursing facility characteristics contained in the Online Certification & Reporting (OSCAR) files and information about health IT adoption in each nursing home contained in the Healthcare Information and Management Systems Society (HIMSS) Analytics Database. Multivariate regression analysis is conducted. Results: Nursing homes with licensed nursing staff levels above the state average were 20% more likely to adopt computer-provided order entry (CPOE) than homes with licensed nursing staff below average. Resident resources (more Medicare-paid patients and fewer Medicaid patients) were positively correlated to health IT adoption, particularly to a clinical data repository (CDR), clinical decision support systems (CDSS), and an order entry (OE) system. Other characteristics, including chain affiliation, ownership, and market competition, are also related to some health IT adoption within nursing homes. Implication: Nursing homes with more personnel or resident resources are more likely to adopt health IT. Other factors such as market competition are also important predictors. Future research is needed to examine what factors motivate nursing homes to adopt health IT.

Original languageEnglish (US)
Pages (from-to)441-447
Number of pages7
JournalJournal of the American Medical Directors Association
Volume17
Issue number5
DOIs
StatePublished - May 1 2016

All Science Journal Classification (ASJC) codes

  • Nursing(all)
  • Health Policy
  • Geriatrics and Gerontology

Keywords

  • Facility characteristics
  • Health information technology
  • Nursing homes
  • Quality of care in nursing homes

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