Literature DB >> 21314652

Evaluation of the falls telephone: an automated system for enduring assessment of falls.

Marjolein A van der Marck1, Sebastiaan Overeem, Philomène C M Klok, Bastiaan R Bloem, Marten Munneke.   

Abstract

OBJECTIVES: To evaluate the reliability and user experiences of an automated telephone system to monitor falls during a prolonged period of time.
DESIGN: Prospective cohort study.
SETTING: Four neurological outpatient clinics in the Netherlands. PARTICIPANTS: One hundred nineteen community-dwelling people with Parkinson's disease without dementia, because falls are common in this population. MEASUREMENTS: Clinical and demographic data were obtained. The Falls Telephone is a computerized telephone system through which participants can enter the number of falls during a particular period. During a follow-up of 1 to 40 weekly calls, 2,465 calls were made. In total, 173 no-fall entries and 115 fall entries were verified using personal telephone interviews. User experiences were evaluated in 90 of the 119 participants using structured telephone interviews.
RESULTS: All no-fall entries and 78% of fall entries were confirmed to be correct. Sensitivity to detect falls was 100%, and specificity was 87%. Users regarded the Falls Telephone as a convenient tool to monitor falls.
CONCLUSION: The Falls Telephone is a convenient and reliable instrument to monitor falls. The automated system has high specificity, obviating the need for time-consuming personal follow-up calls in the majority of nonfallers. As such, the Falls Telephone lends itself well to data collection in large trials with prolonged follow-up in participants with Parkinson's disease.
© 2011, Copyright the Authors. Journal compilation © 2011, The American Geriatrics Society.

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Year:  2011        PMID: 21314652     DOI: 10.1111/j.1532-5415.2010.03263.x

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


  5 in total

Review 1.  Interventions for preventing falls in Parkinson's disease.

Authors:  Natalie E Allen; Colleen G Canning; Lorena Rosa S Almeida; Bastiaan R Bloem; Samyra Hj Keus; Niklas Löfgren; Alice Nieuwboer; Geert Saf Verheyden; Tiê P Yamato; Catherine Sherrington
Journal:  Cochrane Database Syst Rev       Date:  2022-06-06

2.  Assessment of dual tasking has no clinical value for fall prediction in Parkinson’s disease.

Authors:  Katrijn Smulders; Rianne A J Esselink; Aner Weiss; Roy P C Kessels; Alexander C H Geurts; Bastiaan R Bloem
Journal:  J Neurol       Date:  2012-09       Impact factor: 4.849

3.  Trait impulsivity is associated with the risk of falls in Parkinson's disease.

Authors:  Katrijn Smulders; Rianne A Esselink; Roshan Cools; Bastiaan R Bloem
Journal:  PLoS One       Date:  2014-03-07       Impact factor: 3.240

4.  Feasibility of repeated self-measurements of maximum step length and gait speed by community-dwelling older persons.

Authors:  Kim T J Bongers; Yvonne Schoon; Marcel G M Olde Rikkert
Journal:  BMJ Open       Date:  2016-08-05       Impact factor: 2.692

5.  Promotion of physical activity and fitness in sedentary patients with Parkinson's disease: randomised controlled trial.

Authors:  Marlies van Nimwegen; Arlène D Speelman; Sebastiaan Overeem; Bart P van de Warrenburg; Katrijn Smulders; Manon L Dontje; George F Borm; Frank J G Backx; Bastiaan R Bloem; Marten Munneke
Journal:  BMJ       Date:  2013-03-01
  5 in total

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