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Population-based health promotion perspective for older driver safety: Conceptual framework to intervention plan

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Clin Interv Aging
  • Personal Author:
  • Description:
    The topic of motor vehicle crashes among the elderly is dynamic and multi-faceted requiring a comprehensive and synergistic approach to intervention planning. This approach must be based on the values of a given population as well as health statistics and asserted through community, organizational and policy strategies. An integrated summary of the predictors (quantitative research), and views (qualitative research) of the older drivers and their stakeholders, does not currently exist. This study provided an explicit socio-ecological view explaining the interrelation of possible causative factors, an integrated summary of these causative factors, and empirical guidelines for developing public health interventions to promote older driver safety. Using a mixed methods approach, we were able to compare and integrate main findings from a national crash dataset with perspectives of stakeholders. We identified: 11 multi-causal factors for safe elderly driving; the importance of the environmental factors--previously underrated in the literature--interacting with behavioral and health factors; and the interrelatedness among many socio-ecological factors. For the first time, to our knowledge, we conceptualized the fundamental elements of a multi-causal health promotion plan, with measurable intermediate and long-term outcomes. After completing the detailed plan we will test the effectiveness of this intervention on multiple levels.
  • Subjects:
  • Source:
    Clin Interv Aging. 2007; 2(4):677-693.
  • Document Type:
    Journal Article
  • Funding:
    K01 CE000497/CE/NCIPC CDC HHS/United States
  • Place as Subject:
    United States
  • Volume:
    2
  • Issue:
    4
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:e92e2f5e0949ae16374292c8fc1de7436d6e0a8bfc1334e4c810ebea1018fc64
  • Download URL:
  • File Type:
    Filetype[PDF - 283.28 KB ]
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