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[Fractures in the elderly: are postal questionnaires sufficiently sensitive?]

A Raspe1, R Klockgether, U von Domarus

  • 1Institut für Sozialmedizin, Medizinische Universität Lübeck.

Sozial- Und Praventivmedizin
|October 7, 1998
PubMed
Summary

This study assessed postal questionnaires for elderly fractures, finding 8% false negatives. Questioning methods and graphical fracture localization methods require refinement for accuracy.

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Whom to treat? The contribution of vertebral X-rays to risk-based algorithms for fracture prediction. Results from the European Prospective Osteoporosis Study.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2006

Area of Science:

  • Gerontology
  • Epidemiology
  • Medical Sociology

Context:

  • Assessing the validity of postal questionnaires for fracture data collection in elderly populations.
  • Investigating a sample of 144 men and women aged 50-84 hospitalized for fractures within the past 12 months.
  • Evaluating the European Prospective Osteoporosis Study's methodology.

Purpose:

  • To determine the accuracy of postal questionnaires in identifying fractures in the elderly.
  • To assess the effectiveness of a graphical method (mannequin) for fracture localization.
  • To identify factors influencing the accuracy of self-reported fracture data.

Summary:

  • A postal questionnaire was validated for elderly fracture assessment, with 8% false negatives, lower than prior studies.

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  • The study utilized a graphical mannequin for fracture localization, though one-third of localizations were inaccurate.
  • Questioning mode and frequency were identified as factors influencing reported fracture data accuracy.

    • Impact:

    • Highlights the need for improved questionnaire design and localization methods in epidemiological studies of elderly fractures.
    • Suggests that postal surveys can be a useful, albeit imperfect, tool for fracture surveillance in older adults.
    • Provides insights into potential biases and inaccuracies in self-reported fracture data, crucial for osteoporosis research.