Literature DB >> 31054258

The Five W's of Falls: Weekly Online Health Survey of Community-Dwelling Older Adults: Analysis of 4 Years Prospective Follow-up.

Antoine Piau1,2, Nora Mattek2, Colette Duncan2, Nicole Sharma2, Thomas Riley2, Jeffrey Kaye2.   

Abstract

BACKGROUND: An in-depth examination of prospectively collected falls details may facilitate more effective falls prevention. Who was involved? What happened? Where did the fall take place? When did it happen? Why did it occur? This study aimed to provide previously unavailable details about the circumstances surrounding fall events and their consequences.
METHOD: A retrospective analysis of falls prospectively self-reported by older adults via an online weekly health form over 4 years.
RESULTS: We collected 371 falls during the 4 year time period from 120 clinically characterized fallers (74% women, mean age 83.3 years). Most of the 371 falls occurred indoors (62%) and in well-lit areas (81%). Bedrooms were the most common places for in-home falls. Commonly observed precipitating factors included loss of balance, slipping or tripping. Almost one-third (31%) of falls were defined as injurious whereas 22% resulted in a change in the walking ability of which 26% led to the use of a cane or walker. Among falls that did not give rise to any formal health care intervention, 8% resulted in a modification of walking ability.
CONCLUSIONS: A relatively high rate of fall-related injuries compared to the existing literature was observed. Online weekly surveys and the richness of details provided through these data capture method allowed us to identify falls that did not result in health care utilization but did result in decreased mobility. This finding suggests why some falls classified in the literature as noninjurious may nevertheless increase the risk of loss of autonomy and undesired outcomes.
© The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Falls; Information and communication technologies; Internet; Online survey

Year:  2020        PMID: 31054258      PMCID: PMC7164523          DOI: 10.1093/gerona/glz114

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  38 in total

1.  Risk factors for serious fall related injury in elderly women living at home.

Authors:  A Bergland; T B Wyller
Journal:  Inj Prev       Date:  2004-10       Impact factor: 2.399

2.  Long-term Consequences of Noninjurious and Injurious Falls on Well-being in Older Women.

Authors:  G M E E Geeske Peeters; Mark Jones; Julie Byles; Annette J Dobson
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-08-13       Impact factor: 6.053

Review 3.  Monitoring falls in cohort studies of community-dwelling older people: effect of the recall interval.

Authors:  David A Ganz; Takahiro Higashi; Laurence Z Rubenstein
Journal:  J Am Geriatr Soc       Date:  2005-12       Impact factor: 5.562

Review 4.  Will my patient fall?

Authors:  David A Ganz; Yeran Bao; Paul G Shekelle; Laurence Z Rubenstein
Journal:  JAMA       Date:  2007-01-03       Impact factor: 56.272

5.  One step, two steps, three steps more ... Directional vulnerability to falls in community-dwelling older people.

Authors:  Marie-Laure Mille; Marjorie Johnson-Hilliard; Katherine M Martinez; Yunhui Zhang; Beatrice J Edwards; Mark W Rogers
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-05-17       Impact factor: 6.053

6.  Weekly observations of online survey metadata obtained through home computer use allow for detection of changes in everyday cognition before transition to mild cognitive impairment.

Authors:  Adriana Seelye; Nora Mattek; Nicole Sharma; Thomas Riley; Johanna Austin; Katherine Wild; Hiroko H Dodge; Emily Lore; Jeffrey Kaye
Journal:  Alzheimers Dement       Date:  2017-10-26       Impact factor: 21.566

7.  Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study.

Authors:  Stephen N Robinovitch; Fabio Feldman; Yijian Yang; Rebecca Schonnop; Pet Ming Leung; Thiago Sarraf; Joanie Sims-Gould; Marie Loughin
Journal:  Lancet       Date:  2012-10-17       Impact factor: 79.321

8.  Executive function predicts risk of falls in older adults without balance impairment.

Authors:  Teresa J Buracchio; Nora C Mattek; Hiroko H Dodge; Tamara L Hayes; Misha Pavel; Diane B Howieson; Jeffrey A Kaye
Journal:  BMC Geriatr       Date:  2011-11-09       Impact factor: 3.921

9.  Functional performance as a predictor of injurious falls in older adults.

Authors:  Rachel E Ward; Suzanne G Leveille; Marla K Beauchamp; Thomas Travison; Neil Alexander; Alan M Jette; Jonathan F Bean
Journal:  J Am Geriatr Soc       Date:  2015-02       Impact factor: 5.562

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  3 in total

1.  When Will My Patient Fall? Sensor-Based In-Home Walking Speed Identifies Future Falls in Older Adults.

Authors:  Antoine Piau; Nora Mattek; Rachel Crissey; Zachary Beattie; Hiroko Dodge; Jeffrey Kaye
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-04-17       Impact factor: 6.053

2.  A survey for characterizing details of fall events experienced by lower limb prosthesis users.

Authors:  Andrew Sawers; Cody L McDonald; Brian J Hafner
Journal:  PLoS One       Date:  2022-07-28       Impact factor: 3.752

3.  Fall-related emergency department visits and hospitalizations among community-dwelling older adults: examination of health problems and injury characteristics.

Authors:  Namkee G Choi; Bryan Y Choi; Diana M DiNitto; C Nathan Marti; Mark E Kunik
Journal:  BMC Geriatr       Date:  2019-11-11       Impact factor: 3.921

  3 in total

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