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Study of Individualization and Bias in Nursing Home Fall Prevention Practices.

Publication ,  Journal Article
Colón-Emeric, CS; Corazzini, K; McConnell, E; Pan, W; Toles, M; Hall, R; Batchelor-Murphy, M; Yap, TL; Anderson, AL; Burd, A; Anderson, RA
Published in: J Am Geriatr Soc
April 2017

OBJECTIVES: Little is known about how nursing home staff use resident characteristics to individualize care delivery or whether care is affected by implicit bias. DESIGN: Randomized factorial clinical vignette survey. SETTING: Sixteen nursing homes in North Carolina. PARTICIPANTS: Nursing, rehabilitation, and social services staff (n = 433). MEASUREMENTS: Vignettes describing hypothetical residents were generated from a matrix of clinical and demographic characteristics. Resident age, race and gender were suggested by a photo. Participants completed up to four randomly assigned vignettes (n = 1615), rating the likelihood that 12 fall prevention activities would be used for the resident. Fixed and random effects mixed model analysis examined the impact of vignette resident characteristics and staff characteristics on four intervention categories. RESULTS: Staff reported a higher likelihood of fall prevention activities in all four categories for residents with a prior fall (0.2-0.5 points higher, 10 point scale, P < 0.05), but other risk factors did not affect scores. There was little evidence of individualization; only dementia increased the reported likelihood of environmental modification (0.3, P < 0.001, 95% CI 0.2-0.5). Individualization did not vary with staff licensure category or clinical experience. Registered nurses consistently reported higher likelihoods of all fall prevention activities than did licensed practical nurses, unlicensed staff and other professional staff (1.0-2.7 points, P < 0.001 to 0.005). There was a small degree of implicit racial bias; staff indicated that environmental modification would be less likely to occur in otherwise identical vignettes including a photo of a black rather than a white resident (-0.2 points, 95% CI -0.3 to -0.1). CONCLUSION: Nursing home staff report a standardized approach to fall prevention without individualization. We found a small impact from implicit racial bias that should be further explored.

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Published In

J Am Geriatr Soc

DOI

EISSN

1532-5415

Publication Date

April 2017

Volume

65

Issue

4

Start / End Page

815 / 821

Location

United States

Related Subject Headings

  • Risk Factors
  • Nursing Homes
  • North Carolina
  • Middle Aged
  • Male
  • Humans
  • Geriatrics
  • Female
  • Bias
  • Aged, 80 and over
 

Citation

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Chicago
ICMJE
MLA
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Colón-Emeric, C. S., Corazzini, K., McConnell, E., Pan, W., Toles, M., Hall, R., … Anderson, R. A. (2017). Study of Individualization and Bias in Nursing Home Fall Prevention Practices. J Am Geriatr Soc, 65(4), 815–821. https://doi.org/10.1111/jgs.14675
Colón-Emeric, Cathleen S., Kirsten Corazzini, Eleanor McConnell, Wei Pan, Mark Toles, Rasheeda Hall, Melissa Batchelor-Murphy, et al. “Study of Individualization and Bias in Nursing Home Fall Prevention Practices.J Am Geriatr Soc 65, no. 4 (April 2017): 815–21. https://doi.org/10.1111/jgs.14675.
Colón-Emeric CS, Corazzini K, McConnell E, Pan W, Toles M, Hall R, et al. Study of Individualization and Bias in Nursing Home Fall Prevention Practices. J Am Geriatr Soc. 2017 Apr;65(4):815–21.
Colón-Emeric, Cathleen S., et al. “Study of Individualization and Bias in Nursing Home Fall Prevention Practices.J Am Geriatr Soc, vol. 65, no. 4, Apr. 2017, pp. 815–21. Pubmed, doi:10.1111/jgs.14675.
Colón-Emeric CS, Corazzini K, McConnell E, Pan W, Toles M, Hall R, Batchelor-Murphy M, Yap TL, Anderson AL, Burd A, Anderson RA. Study of Individualization and Bias in Nursing Home Fall Prevention Practices. J Am Geriatr Soc. 2017 Apr;65(4):815–821.
Journal cover image

Published In

J Am Geriatr Soc

DOI

EISSN

1532-5415

Publication Date

April 2017

Volume

65

Issue

4

Start / End Page

815 / 821

Location

United States

Related Subject Headings

  • Risk Factors
  • Nursing Homes
  • North Carolina
  • Middle Aged
  • Male
  • Humans
  • Geriatrics
  • Female
  • Bias
  • Aged, 80 and over