Literature DB >> 28800581

Implementation of Electronic Health Records in US Nursing Homes.

Ragnhildur I Bjarnadottir1, Carolyn T A Herzig, Jasmine L Travers, Nicholas G Castle, Patricia W Stone.   

Abstract

While electronic health records have emerged as promising tools to help improve quality of care, nursing homes have lagged behind in implementation. This study assessed electronic health records implementation, associated facility characteristics, and potential impact on quality indicators in nursing homes. Using national Centers for Medicare & Medicaid Services and survey data for nursing homes, a cross-sectional analysis was conducted to identify variations between nursing homes that had and had not implemented electronic health records. A difference-in-differences analysis was used to estimate the longitudinal effect of electronic health records on commonly used quality indicators. Data from 927 nursing homes were examined, 49.1% of which had implemented electronic health records. Nursing homes with electronic health records were more likely to be nonprofit/government owned (P = .04) and had a lower percentage of Medicaid residents (P = .02) and higher certified nursing assistant and registered nurse staffing levels (P = .002 and .02, respectively). Difference-in-differences analysis showed greater quality improvements after implementation for five long-stay and two short-stay quality measures (P = .001 and .01, respectively) compared with those who did not implement electronic health records. Implementation rates in nursing homes are low compared with other settings, and better-resourced facilities are more likely to have implemented electronic health records. Consistent with other settings, electronic health records implementation improves quality in nursing homes, but further research is needed to better understand the mechanism for improvement and how it can best be supported.

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Mesh:

Year:  2017        PMID: 28800581      PMCID: PMC5555048          DOI: 10.1097/CIN.0000000000000344

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  25 in total

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6.  Infection Prevention and Control Programs in US Nursing Homes: Results of a National Survey.

Authors:  Carolyn T A Herzig; Patricia W Stone; Nicholas Castle; Monika Pogorzelska-Maziarz; Elaine L Larson; Andrew W Dick
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Review 10.  Electronic Health Record: Driving Evidence-Based Catheter-Associated Urinary Tract Infections (CAUTI) Care Practices.

Authors:  Lois M Welden
Journal:  Online J Issues Nurs       Date:  2013-08-06
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  8 in total

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3.  COVID-19: The Time for Collaboration Between Long-Term Services and Supports, Health Care Systems, and Public Health Is Now.

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4.  Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content.

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Journal:  Life (Basel)       Date:  2020-12-04

5.  Description of antibiotic use variability among US nursing homes using electronic health record data.

Authors:  Sarah Kabbani; Stanley W Wang; Laura L Ditz; Katryna A Gouin; Danielle Palms; Theresa A Rowe; David Y Hyun; Nancy W Chi; Nimalie D Stone; Lauri A Hicks
Journal:  Antimicrob Steward Healthc Epidemiol       Date:  2021-12-07

6.  Exploring the role of the nurse manager in supporting point-of-care nurses' adoption of electronic health records: protocol for a qualitative research study.

Authors:  Gillian Strudwick; Richard G Booth; Ragnhildur I Bjarnadottir; Sarah Collins; Rani Srivastava
Journal:  BMJ Open       Date:  2017-10-12       Impact factor: 2.692

7.  Time to Strategically Position Nursing Homes to Effectively Manage Emerging Infections.

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Journal:  J Am Med Dir Assoc       Date:  2020-08-15       Impact factor: 4.669

Review 8.  Implementation of eHealth to Support Assessment and Decision-making for Residents With Dementia in Long-term Care: Systematic Review.

Authors:  Juliet Gillam; Nathan Davies; Jesutofunmi Aworinde; Emel Yorganci; Janet E Anderson; Catherine Evans
Journal:  J Med Internet Res       Date:  2022-02-03       Impact factor: 5.428

  8 in total

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