Underreporting of Fall Injuries of Older Adults: Implications for Wellness Visit Fall Risk Screening

J Am Geriatr Soc. 2018 Jul;66(6):1195-1200. doi: 10.1111/jgs.15360. Epub 2018 Apr 17.

Abstract

Objectives: To compare the accuracy of and factors affecting the accuracy of self-reported fall-related injuries (SFRIs) with those of administratively obtained FRIs (AFRIs).

Design: Retrospective observational study SETTING: United States PARTICIPANTS: Fee-for-service Medicare beneficiaries aged 65 and older (N=47,215).

Measurements: We used 24-month self-report recall data from 2000-2012 Health and Retirement Study data to identify SFRIs and linked inpatient, outpatient, and ambulatory Medicare data to identify AFRIs. Sensitivity and specificity were assessed, with AFRIs defined using the University of California at Los Angeles/RAND algorithm as the criterion standard. Logistic regression models were used to identify sociodemographic and health predictors of sensitivity.

Results: Overall sensitivity and specificity were 28% and 92%. Sensitivity was greater for the oldest adults (38%), women (34%), those with more functional limitations (47%), and those with a prior fall (38%). In adjusted results, several participant factors (being female, being white, poor functional status, depression, prior falls) were modestly associated with better sensitivity and specificity. Injury severity (requiring hospital care) most substantively improved SFRI sensitivity (73%).

Conclusion: An overwhelming 72% of individuals who received Medicare-reimbursed health care for FRIs failed to report a fall injury when asked. Future efforts to address underreporting in primary care of nonwhite and healthier older adults are critical to improve preventive efforts. Redesigned questions-for example, that address stigma of attributing injury to falling-may improve sensitivity.

Keywords: Medicare; fall injuries; screening; self report; survey.

Publication types

  • Observational Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Accidental Falls* / prevention & control
  • Accidental Falls* / statistics & numerical data
  • Activities of Daily Living
  • Aged
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Insurance Claim Reporting / statistics & numerical data
  • Male
  • Mass Screening / methods*
  • Medicare / statistics & numerical data*
  • Primary Health Care* / methods
  • Primary Health Care* / statistics & numerical data
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Self Report / statistics & numerical data
  • Sensitivity and Specificity
  • United States / epidemiology