Literature DB >> 25182938

Shifting the paradigm: an assessment of the quality of fall risk reduction in Nebraska hospitals.

Katherine J Jones1, Dawn M Venema, Regina Nailon, Anne M Skinner, Robin High, Victoria Kennel.   

Abstract

PURPOSE: To assess the prevalence of evidence-based fall risk reduction structures and processes in Nebraska hospitals; whether fall rates are associated with specific structures and processes; and whether fall risk reduction structures, processes, and outcomes vary by hospital type--Critical Access Hospital (CAH) versus non-CAH.
METHODS: A cross-sectional survey of Nebraska's 83 general community hospitals, 78% of which are CAHs. We used a negative binomial rate model to estimate fall rates while adjusting for hospital volume (patient days) and the exact Pearson chi-square test to determine associations between hospital type and the structure and process of fall risk reduction.
FINDINGS: Approximately two-thirds or more of 70 hospitals used 6 of 9 evidence-based universal fall risk reduction interventions; 50% or more used 14 of 16 evidence-based targeted interventions. After adjusting for hospital volume, hospitals in which teams integrated evidence from multiple disciplines and reflected upon data and modified polices/procedures based upon data had significantly lower total and injurious fall rates per 1,000 patient days than hospitals that did not. Non-CAHs were significantly more likely than CAHs to perform 5 organizational-level fall risk reduction processes. CAHs reported significantly greater total (5.9 vs 4.0) and injurious (1.7 vs 0.9) fall rates per 1,000 patient days than did non-CAHs.
CONCLUSIONS: Hospital type was a significant predictor of fall rates. However, shifting the paradigm for fall risk reduction from a nursing-centric approach to one in which teams implement evidence-based practices and learn from data may decrease fall risk regardless of hospital type.
© 2014 National Rural Health Association.

Entities:  

Keywords:  Critical Access Hospitals; organizational learning; patient falls; quality; teamwork

Mesh:

Year:  2014        PMID: 25182938     DOI: 10.1111/jrh.12088

Source DB:  PubMed          Journal:  J Rural Health        ISSN: 0890-765X            Impact factor:   4.333


  5 in total

1.  Evaluating the use of multiteam systems to manage the complexity of inpatient falls in rural hospitals.

Authors:  Katherine J Jones; Anne Skinner; Dawn Venema; John Crowe; Robin High; Victoria Kennel; Joseph Allen; Roni Reiter-Palmon
Journal:  Health Serv Res       Date:  2019-06-18       Impact factor: 3.402

2.  Evaluation of Automated Video Monitoring to Decrease the Risk of Unattended Bed Exits in Small Rural Hospitals.

Authors:  Katherine J Jones; Gleb Haynatzki; Lucas Sabalka
Journal:  J Patient Saf       Date:  2021-12-01       Impact factor: 2.243

3.  Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study.

Authors:  Hayao Nakatani; Masatoshi Nakao; Hidefumi Uchiyama; Hiroyoshi Toyoshiba; Chikayuki Ochiai
Journal:  JMIR Med Inform       Date:  2020-04-22

4.  The impact of post-fall huddles on repeat fall rates and perceptions of safety culture: a quasi-experimental evaluation of a patient safety demonstration project.

Authors:  Katherine J Jones; John Crowe; Joseph A Allen; Anne M Skinner; Robin High; Victoria Kennel; Roni Reiter-Palmon
Journal:  BMC Health Serv Res       Date:  2019-09-09       Impact factor: 2.655

5.  Patient and system factors associated with unassisted and injurious falls in hospitals: an observational study.

Authors:  Dawn M Venema; Anne M Skinner; Regina Nailon; Deborah Conley; Robin High; Katherine J Jones
Journal:  BMC Geriatr       Date:  2019-12-11       Impact factor: 3.921

  5 in total

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