FEASIBILITY AND ACCURACY OF A POINT-OF-CARE COMMUNICATION FEEDBACK APP FOR NURSING HOME STAFF
2024

Evaluating a Communication Feedback App for Nursing Home Staff

Sample size: 17 publication Evidence: moderate

Author Information

Author(s): Williams Kristine, Coleman Carissa, Hu Jinxiang, Chen Xi

Primary Institution: University of Kansas Medical Center

Hypothesis

The SPEEKO for Elderspeak app can provide accurate feedback on staff communication in dementia care.

Conclusion

The SPEEKO for Elderspeak app shows potential for improving communication skills among nursing home staff.

Supporting Evidence

  • The app uses natural language processing to analyze staff speech.
  • Chi-squared tests showed significant relationships between app and human identification of diminutives.
  • The app aims to reduce the use of elderspeak in communication with dementia patients.

Takeaway

This study tested an app that helps nursing home staff talk better to residents with dementia by giving them feedback on their speech.

Methodology

Staff recorded their communication, and the app analyzed their speech using natural language processing to provide feedback.

Limitations

Issues in accuracy of recording, transcription, and analyses were noted.

Participant Demographics

Long-term-care staff from nursing homes.

Statistical Information

P-Value

p<.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1093/geroni/igae098.3332

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