Health Information Technologies: Which Nursing Homes Adopted Them?

被引:18
作者
Zhang, Ning [1 ,2 ,3 ]
Lu, Susan F. [4 ]
Xu, Biao [5 ]
Wu, Bingxiao [6 ]
Rodriguez-Monguio, Rosa [1 ]
Gurwitz, Jerry [2 ,3 ]
机构
[1] Univ Massachusetts, Sch Publ Hlth & Hlth Sci, Dept Hlth Promot & Policy, 715 N Pleasant St,Arnold Bldg Room 324, Amherst, MA 01545 USA
[2] Univ Massachusetts, Sch Med, Meyers Primary Care Inst, Worcester, MA USA
[3] Univ Massachusetts, Sch Med, Div Geriatr Med, Worcester, MA USA
[4] Purdue Univ, Krannert Sch Management, Dept Management, W Lafayette, ID USA
[5] Nanjing Univ, Sch Govt, Dept Management, Nanjing 210008, Jiangsu, Peoples R China
[6] Rutgers State Univ, Dept Econ, Sch Art & Sci, New Brunswick, NJ 08903 USA
关键词
Health information technology; nursing homes; quality of care in nursing homes; facility characteristics; CLINICAL DECISION-SUPPORT; CARE; SYSTEMS; RECORD; PERFORMANCE; PREVALENCE; QUALITY; IMPACT; SAFETY;
D O I
10.1016/j.jamda.2016.02.028
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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. (C) 2016 AMDA - The Society for Post-Acute and Long-Term Care Medicine.
引用
收藏
页码:441 / 447
页数:7
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