Abstract
The goal of this study was to identify nursing home characteristics that have differential associations to voluntary and involuntary turnover among formal caregivers (i.e., registered nurses, licensed practical nurses, and nurse aides). Primary data from 354 facilities from four states were merged with data from the 2004 Online Survey, Certification and Recording system. Multinomial logistic regression analyses were conducted to determine whether organizational characteristics were related to a greater probability of high or low levels of voluntary and involuntary turnover among formal caregivers. The analysis revealed that a higher ratio of nurses to beds, a smaller number of quality-of-care deficiencies, and a smaller proportion of residents using Medicaid were all associated with lower voluntary turnover but higher involuntary turnover. The findings indicate that controlling turnover is a complex process that may involve monitoring the organizational levels not only of voluntary separations but also of involuntary terminations.
Original language | English |
---|---|
Pages (from-to) | 454-472 |
Number of pages | 19 |
Journal | Research on Aging |
Volume | 28 |
Issue number | 4 |
DOIs | |
State | Published - 1 Jul 2006 |
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Keywords
- Involuntary turnover
- Nursing home
- Organizational characteristics
- Voluntary turnover
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Voluntary and involuntary nursing home staff turnover. / Donoghue, Christopher; Castle, Nicholas G.
In: Research on Aging, Vol. 28, No. 4, 01.07.2006, p. 454-472.Research output: Contribution to journal › Article
TY - JOUR
T1 - Voluntary and involuntary nursing home staff turnover
AU - Donoghue, Christopher
AU - Castle, Nicholas G.
PY - 2006/7/1
Y1 - 2006/7/1
N2 - The goal of this study was to identify nursing home characteristics that have differential associations to voluntary and involuntary turnover among formal caregivers (i.e., registered nurses, licensed practical nurses, and nurse aides). Primary data from 354 facilities from four states were merged with data from the 2004 Online Survey, Certification and Recording system. Multinomial logistic regression analyses were conducted to determine whether organizational characteristics were related to a greater probability of high or low levels of voluntary and involuntary turnover among formal caregivers. The analysis revealed that a higher ratio of nurses to beds, a smaller number of quality-of-care deficiencies, and a smaller proportion of residents using Medicaid were all associated with lower voluntary turnover but higher involuntary turnover. The findings indicate that controlling turnover is a complex process that may involve monitoring the organizational levels not only of voluntary separations but also of involuntary terminations.
AB - The goal of this study was to identify nursing home characteristics that have differential associations to voluntary and involuntary turnover among formal caregivers (i.e., registered nurses, licensed practical nurses, and nurse aides). Primary data from 354 facilities from four states were merged with data from the 2004 Online Survey, Certification and Recording system. Multinomial logistic regression analyses were conducted to determine whether organizational characteristics were related to a greater probability of high or low levels of voluntary and involuntary turnover among formal caregivers. The analysis revealed that a higher ratio of nurses to beds, a smaller number of quality-of-care deficiencies, and a smaller proportion of residents using Medicaid were all associated with lower voluntary turnover but higher involuntary turnover. The findings indicate that controlling turnover is a complex process that may involve monitoring the organizational levels not only of voluntary separations but also of involuntary terminations.
KW - Involuntary turnover
KW - Nursing home
KW - Organizational characteristics
KW - Voluntary turnover
UR - http://www.scopus.com/inward/record.url?scp=33744952212&partnerID=8YFLogxK
U2 - 10.1177/0164027505284164
DO - 10.1177/0164027505284164
M3 - Article
AN - SCOPUS:33744952212
VL - 28
SP - 454
EP - 472
JO - Research on Aging
JF - Research on Aging
SN - 0164-0275
IS - 4
ER -