Literature DB >> 16326667

Impact of a falls menu-driven incident-reporting system on documentation and quality improvement in nursing homes.

Laura M Wagner1, Elizabeth Capezuti, Jo A Taylor, Richard W Sattin, Joseph G Ouslander.   

Abstract

PURPOSE: Data from incident-reporting systems have been used successfully in disciplines other than health care to improve safety. This study tested the effect of a falls menu-driven incident-reporting system (MDIRS) on quality-improvement efforts in nursing homes. DESIGN AND METHODS: Following instrument development and testing, the intervention occurred over a 4-month period in three intervention nursing homes using the MDIRS matched with three homes using their existing narrative incident report to document falls. Data on fall incidents were collected from facility incident reports, and comparisons in incident-report documentation were made between the intervention and control groups. The minutes from quality-improvement meetings were examined to see how incident-report data were used for fall-prevention strategies.
RESULTS: Almost one third of nursing home residents among the six facilities fell during the 4-month study period. Intervention nursing homes had significantly better documentation of fall characteristics on the incident reports than did the control nursing homes. Although only one nursing home fully implemented the MDIRS intervention, all three facilities identified strengths of the system. IMPLICATIONS: The MDIRS can have a significant impact in improving how nursing staff assess residents following a fall incident. Traditional narrative methods of documenting adverse incidents are time consuming and may not yield sufficient and accurate data. This model has the potential to enhance quality-improvement efforts and augment the current system of adverse incident reporting in nursing homes.

Mesh:

Year:  2005        PMID: 16326667     DOI: 10.1093/geront/45.6.835

Source DB:  PubMed          Journal:  Gerontologist        ISSN: 0016-9013


  8 in total

1.  An analysis of the accuracy of wearable sensors for classifying the causes of falls in humans.

Authors:  Omar Aziz; Stephen N Robinovitch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-08-22       Impact factor: 3.802

Review 2.  Enhancing Patient Safety Event Reporting. A Systematic Review of System Design Features.

Authors:  Yang Gong; Hong Kang; Xinshuo Wu; Lei Hua
Journal:  Appl Clin Inform       Date:  2017-08-30       Impact factor: 2.342

Review 3.  A systematic mapping review of randomized controlled trials (RCTs) in care homes.

Authors:  Adam L Gordon; Phillipa A Logan; Rob G Jones; Calum Forrester-Paton; Jonathan P Mamo; John R F Gladman
Journal:  BMC Geriatr       Date:  2012-06-25       Impact factor: 3.921

Review 4.  Nursing Home Implementation of Health Information Technology: Review of the Literature Finds Inadequate Investment in Preparation, Infrastructure, and Training.

Authors:  Michelle Ko; Laura Wagner; Joanne Spetz
Journal:  Inquiry       Date:  2018 Jan-Dec       Impact factor: 1.730

Review 5.  Quality improvement in long-term care settings: a scoping review of effective strategies used in care homes.

Authors:  Neil H Chadborn; Reena Devi; Kathryn Hinsliff-Smith; Jay Banerjee; Adam L Gordon
Journal:  Eur Geriatr Med       Date:  2020-09-04       Impact factor: 1.710

6.  Abnormal Gait Movements Prior to a Near Fall in Individuals After Stroke.

Authors:  Yuji Osada; Naoyuki Motojima; Yosuke Kobayashi; Sumiko Yamamoto
Journal:  Arch Rehabil Res Clin Transl       Date:  2021-09-06

7.  Falls among community-residing stroke survivors following inpatient rehabilitation: a descriptive analysis of longitudinal data.

Authors:  Laura M Wagner; Victoria L Phillips; Amanda E Hunsaker; Pamela G Forducey
Journal:  BMC Geriatr       Date:  2009-10-14       Impact factor: 3.921

Review 8.  A Systematic Review of Interventions to Change Staff Care Practices in Order to Improve Resident Outcomes in Nursing Homes.

Authors:  Lee-Fay Low; Jennifer Fletcher; Belinda Goodenough; Yun-Hee Jeon; Christopher Etherton-Beer; Margaret MacAndrew; Elizabeth Beattie
Journal:  PLoS One       Date:  2015-11-11       Impact factor: 3.240

  8 in total

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