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A Practice Improvement Education Program Using a Mentored Approach to Improve Nursing Facility Depression
Joshua Chodosh1,2,3, Rachel M Price2, Mary P Cadogan2
1Veterans Affairs Greater Los Angeles Health System, Los Angeles, California.
Journal of the American Geriatrics Society
|October 28, 2015
Summary
This study enhanced nursing home depression care using Minimum Data Set (MDS) 3.0 data and quality improvement (QI) mentorship. The program improved care processes and reduced antidepressant medication use in residents.
Area of Science:
- Gerontology
- Healthcare Quality Improvement
- Psychiatry
Background:
- Depression is prevalent in nursing facility residents, necessitating improved assessment and management.
- The Minimum Data Set (MDS) 3.0 offers valuable data for enhancing depression care quality.
- Integrating MDS 3.0 data into quality improvement (QI) initiatives requires effective strategies.
Purpose of the Study:
- To augment nursing home (NH) capacity in utilizing QI processes for depression care.
- To improve depression assessment and management through focused mentorship and team building.
Main Methods:
- A 6-month intervention involving facilitated collection of MDS 3.0 Patient Health Questionnaire (PHQ-9) and medication data.
- Education on QI, team building, nonpharmacological care, mentored team meetings, webinars, and technical assistance.
- Interprofessional teams were established, collecting resident data at baseline, 6, and 9 months.
Main Results:
- Five NHs formed interprofessional teams with significant participation in educational activities.
- Self-rated competency in depression care measures improved significantly (P = .05 to <.001).
- Resident depression scores remained stable, but antidepressant medication use decreased from 37.2% to 31.0% (P < .001).
Conclusions:
- The structured mentoring program successfully enhanced care processes and reduced psychotropic medication use in nursing home residents.
- The intervention was well-received and demonstrated potential for application to other prevalent conditions in NHs.
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