Literature DB >> 20487077

Measuring falls events in acute hospitals-a comparison of three reporting methods to identify missing data in the hospital reporting system.

Anne-Marie Hill1, Tammy Hoffmann, Keith Hill, David Oliver, Christopher Beer, Steven McPhail, Sandra Brauer, Terry P Haines.   

Abstract

OBJECTIVES: To compare three different methods of falls reporting and examine the characteristics of the data missing from the hospital incident reporting system.
DESIGN: Fourteen-month prospective observational study nested within a randomized controlled trial.
SETTING: Rehabilitation, stroke, medical, surgical, and orthopedic wards in Perth and Brisbane, Australia. PARTICIPANTS: Fallers (n=153) who were part of a larger trial (1,206 participants, mean age 75.1 + or - 11.0). MEASUREMENTS: Three falls events reporting measures: participants' self-report of fall events, fall events reported in participants' case notes, and falls events reported through the hospital reporting systems.
RESULTS: The three reporting systems identified 245 falls events in total. Participants' case notes captured 226 (92.2%) falls events, hospital incident reporting systems captured 185 (75.5%) falls events, and participant self-report captured 147 (60.2%) falls events. Falls events were significantly less likely to be recorded in hospital reporting systems when a participant sustained a subsequent fall, (P=.01) or when the fall occurred in the morning shift (P=.01) or afternoon shift (P=.01).
CONCLUSION: Falls data missing from hospital incident report systems are not missing completely at random and therefore will introduce bias in some analyses if the factor investigated is related to whether the data is missing. Multimodal approaches to collecting falls data are preferable to relying on a single source alone.

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Mesh:

Year:  2010        PMID: 20487077     DOI: 10.1111/j.1532-5415.2010.02856.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  36 in total

1.  Clinical correlates of between-limb synchronization of standing balance control and falls during inpatient stroke rehabilitation.

Authors:  Avril Mansfield; George Mochizuki; Elizabeth L Inness; William E McIlroy
Journal:  Neurorehabil Neural Repair       Date:  2012-01-24       Impact factor: 3.919

2.  Data collection methods in health services research: hospital length of stay and discharge destination.

Authors:  M N Sarkies; K-A Bowles; E H Skinner; D Mitchell; R Haas; M Ho; K Salter; K May; D Markham; L O'Brien; S Plumb; T P Haines
Journal:  Appl Clin Inform       Date:  2015-02-18       Impact factor: 2.342

3.  Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing.

Authors:  Vivienne J Zhu; Tina D Walker; Robert W Warren; Peggy B Jenny; Stephane Meystre; Leslie A Lenert
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

4.  The Stroke Assessment of Fall Risk (SAFR): predictive validity in inpatient stroke rehabilitation.

Authors:  Terry P Breisinger; Elizabeth R Skidmore; Christian Niyonkuru; Lauren Terhorst; Grace B Campbell
Journal:  Clin Rehabil       Date:  2014-05-21       Impact factor: 3.477

5.  In-Hospital Sequelae of Injurious Falls in 24 Medical/Surgical Units in Four Hospitals in the United States.

Authors:  Anne-Marie Hill; Angela Jacques; A Michelle Chandler; Phyllis A Richey; Lorraine C Mion; Ronald I Shorr
Journal:  Jt Comm J Qual Patient Saf       Date:  2018-09-28

6.  Do Falls Experienced During Inpatient Stroke Rehabilitation Affect Length of Stay, Functional Status, and Discharge Destination?

Authors:  Jennifer S Wong; Dina Brooks; Avril Mansfield
Journal:  Arch Phys Med Rehabil       Date:  2015-12-19       Impact factor: 3.966

7.  Pro-Active Fall-Risk Management is Mandatory to Sustain in Hospital-Fall Prevention in Older Patients--Validation of the LUCAS Fall-Risk Screening in 2,337 Patients.

Authors:  V S Hoffmann; L Neumann; S Golgert; W von Renteln-Kruse
Journal:  J Nutr Health Aging       Date:  2015-12       Impact factor: 4.075

Review 8.  Psychotropic drug-induced falls in older people: a review of interventions aimed at reducing the problem.

Authors:  Keith D Hill; Rohan Wee
Journal:  Drugs Aging       Date:  2012-01-01       Impact factor: 3.923

9.  Use of International Classification of Diseases, Ninth Revision, Clinical Modification, codes to identify inpatient fall-related injuries.

Authors:  Teresa M Waters; A Michelle Chandler; Lorraine C Mion; Michael J Daniels; Lori A Kessler; Stephen T Miller; Ronald I Shorr
Journal:  J Am Geriatr Soc       Date:  2013-11-01       Impact factor: 5.562

Review 10.  Falls in older adults with cancer: a systematic review of prevalence, injurious falls, and impact on cancer treatment.

Authors:  Schroder Sattar; Shabbir M H Alibhai; Sandra L Spoelstra; Rouhi Fazelzad; Martine T E Puts
Journal:  Support Care Cancer       Date:  2016-07-22       Impact factor: 3.603

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