TY - JOUR
T1 - A nurse-staffing taxonomy for decision making in long-term care nursing facilities
AU - Reilly, Karen E.
AU - Mueller, Christine
AU - Zimmerman, David R.
PY - 2006
Y1 - 2006
N2 - A nurse-staffing taxonomy is proposed to facilitate informed staffing decisions in long-term care nursing facilities and to set forth construct components for empirically related research. Recommendations from an expert workgroup were synthesized with current staffing research to define a staffing taxonomy. Refinements were made, incorporating on-site nursing home quality assessments and concepts founded on psychometric theory and Donabedian's model. A quality monitoring protocol, based on the staffing taxonomy, was used to assess quality improvement systems. Results from 48 US nursing facilities indicate that most long-term care facilities struggle with staffing allocation and the integration of staffing into a quality monitoring process.
AB - A nurse-staffing taxonomy is proposed to facilitate informed staffing decisions in long-term care nursing facilities and to set forth construct components for empirically related research. Recommendations from an expert workgroup were synthesized with current staffing research to define a staffing taxonomy. Refinements were made, incorporating on-site nursing home quality assessments and concepts founded on psychometric theory and Donabedian's model. A quality monitoring protocol, based on the staffing taxonomy, was used to assess quality improvement systems. Results from 48 US nursing facilities indicate that most long-term care facilities struggle with staffing allocation and the integration of staffing into a quality monitoring process.
KW - Nurse-staffing construct
KW - Nurse-staffing taxonomy
KW - Nursing home quality
KW - Nursing home staffing
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U2 - 10.1097/00001786-200604000-00014
DO - 10.1097/00001786-200604000-00014
M3 - Review article
C2 - 16540787
AN - SCOPUS:33646831825
SN - 1057-3631
VL - 21
SP - 176
EP - 186
JO - Journal of Nursing Care Quality
JF - Journal of Nursing Care Quality
IS - 2
ER -