Literature DB >> 22186598

Understanding unassisted falls: effects of nurse staffing level and nursing staff characteristics.

Vincent S Staggs1, Jeff E Knight, Nancy Dunton.   

Abstract

Hierarchical Poisson modeling was used to explore hospital and nursing unit characteristics as predictors of the unassisted fall rate. Longitudinal data were collected from 1502 units in 248 US hospitals. The relation between the fall rate and total nurse staffing was positive at lower staffing levels and negative for levels around and above the median. The fall rate was negatively associated with registered nurse skill mix and average registered nurse tenure on the unit.

Mesh：

Year:  2012        PMID： 22186598     DOI： 10.1097/NCQ.0b013e318241da2d

Source DB:  PubMed          Journal:  J Nurs Care Qual        ISSN： 1057-3631            Impact factor:   1.597


  7 in total

1.  Comparison between elderly inpatient fallers with and without dementia.

Authors:  Si Ching Lim; Kaysar Mamun; Jim K H Lim
Journal:  Singapore Med J       Date:  2014-02       Impact factor: 1.858

2.  Association between Nurse Staffing and In-Hospital Bone Fractures: A Retrospective Cohort Study.

Authors:  Kojiro Morita; Hiroki Matsui; Kiyohide Fushimi; Hideo Yasunaga
Journal:  Health Serv Res       Date:  2016-07-24       Impact factor: 3.402

3.  Challenges in defining and categorizing falls on diverse unit types: lessons from expansion of the NDNQI Falls Indicator.

Authors:  Vincent S Staggs; Jan Davidson; Nancy Dunton; Brandon Crosser
Journal:  J Nurs Care Qual       Date:  2015 Apr-Jun       Impact factor: 1.597

4.  A quantitative systematic review of the association between nurse skill mix and nursing-sensitive patient outcomes in the acute care setting.

Authors:  Diane E Twigg; Yvonne Kutzer; Elisabeth Jacob; Karla Seaman
Journal:  J Adv Nurs       Date:  2019-10-03       Impact factor: 3.187

5.  Staffing, teamwork and scope of practice: Analysis of the association with patient safety in the context of rehabilitation.

Authors:  Carla Jomaa; Carl-Ardy Dubois; Isabelle Caron; Alexandre Prud'Homme
Journal:  J Adv Nurs       Date:  2021-11-28       Impact factor: 3.057

6.  Associations between rates of unassisted inpatient falls and levels of registered and non-registered nurse staffing.

Authors:  Vincent S Staggs; Nancy Dunton
Journal:  Int J Qual Health Care       Date:  2013-11-13       Impact factor: 2.038

7.  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
  7 in total

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