Longitudinal falls data in Parkinson's disease: feasibility of fall diaries and effect of attrition

Heather Hunter, Lynn Rochester, Rosie Morris, Sue Lord

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)
32 Downloads (Pure)

Abstract

Background: Identifying causes of falls for people with Parkinson’s disease has met with limited success. Prospective falls measurement using the “gold standard” approach is challenging. This paper examines the process and outcomes associated with longitudinal falls reporting in this population.

Methods: Participants were recruited from ICICLE-GAIT (a collaborative study with ICICLE-PD; an incident cohort study). Monthly falls diaries were examined over 48 months for accuracy of data and rate of attrition. To further inform analysis, characteristics of participants with 36-month completed diaries were compared with those who did not complete diaries.

Results: One hundred and twenty-one participants were included at baseline. By 12 months, falls diary data had reduced to 107 participants; to 81 participants by 36 months; and to 59 participants by 48 months. Key reasons for diary attrition were withdrawal from ICICLE-gait (n = 16) (13.2%), and noncompliance (n = 11) (9.1%). The only significant difference between the completed and non-completed diary groups was age at 36 months, with older participants being more likely to send in diaries.

Conclusions: Prospective falls data is feasible to collect over the long term. Attrition rates are high; however, participants retained in the study are overall representative of the total falls diary cohort.

Original languageEnglish
Pages (from-to)2236-2241
Number of pages6
JournalDisability and Rehabilitation
Volume40
Issue number19
Early online date2 Jun 2017
DOIs
Publication statusPublished - 11 Sept 2018
Externally publishedYes

Keywords

  • Accidental Falls/statistics & numerical data
  • Age Factors
  • Aged
  • Female
  • Health Records, Personal
  • Humans
  • Male
  • Middle Aged
  • Parkinson Disease/epidemiology
  • Patient Compliance
  • Prospective Studies
  • United Kingdom/epidemiology

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