@article{01HCCYHPVD6X2TE91WMR6VB2YF,
  abstract     = {{Objectives: The incidence of falling in older adults has remained unchanged over the past decades, despite evidence-based prevention initiatives. Therefore, it is appropriate to reflect on the current screening approach for preventive initiatives. The objective of this study was to determine whether the multifactorial algorithm proposed by Lusardi et al.(2017) exhibits superior predictive validity compared to the currently employed algorithm by the Belgian National Institute for Health and Disability Insurance (NIHDI).
Methods: The current study includes a secondary analysis of data collected from a falls-related study in the Department of Rehabilitation Sciences at Ghent University to compare the predictive validity of the two algorithms. Sensitivity, specificity, positive and negative predictive value and area under the curve (AUC) were calculated to ascertain which algorithm is more accurate.
Results: The database included a total of 94 community-dwelling older adults (35% male). The mean age was 76 years (± 7.4years). Among the 94 participants, 39 of them experienced at least one fall in the 8month follow up. The approach of Lusardi et al. has a higher sensitivity score (89.7% compared to 10.3%), but a lower specificity score (61.8% compared to 100%). The positive predictive value is higher for the NIHDI approach (100% compared to 62.2%). This is in contrast with the negative predictive value, where the NIHDI approach scores lower (61.1% compared to 89.9%). The AUC is 0.55 for the NIHDI approach and 0.76 for the Lusardi approach. Overall, the Lusardi approach appeared to be the most accurate screening tool to determine the risk of falls.
Conclusion: The use of the multifactorial algorithm proposed by Lusardi et al. which calculates probabilities may be significant in identifying adults at risk to falls. Further research is needed particularly with a larger, more heterogenous group of older adults.}},
  author       = {{Rommers, Ellis and Petrovic, Mirko and De Pauw, Robby and Van Bladel, Anke and Cambier, Dirk}},
  issn         = {{1784-3286}},
  journal      = {{ACTA CLINICA BELGICA}},
  keywords     = {{older adults,falls,physiotherapy,falls risk,prediction}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{5--11}},
  publisher    = {{Taylor & Francis}},
  title        = {{The Belgian physiotherapy reimbursement criteria for fall prevention fails in screening appropriately fall-prone community-dwelling older adults}},
  url          = {{http://doi.org/10.1080/17843286.2023.2268916}},
  volume       = {{79}},
  year         = {{2024}},
}

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