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New Dimensions of Staffing Patterns in Nursing Homes and Nursing Home Quality: Comparing Staffing Instability to Staffing Turnover
被引:6
|作者:
Sinha, Soham
[1
,7
]
Mukamel, Dana B.
[2
]
Saliba, Debra
[3
,4
]
Ladd, Heather
[5
]
Konetzka, R. Tamara
[6
]
机构:
[1] Univ Chicago Biol Sci, Dept Publ Hlth Sci, Chicago, IL USA
[2] Univ Calif Irvine, Dept Med Publ Hlth & Nursing, Informat Technol Enhancing Qual Care iTEQC Res Pro, Irvine, CA USA
[3] Univ Calif Los Angeles, Borun Ctr, Vet Adm, Geriatr Res Educ & Clin Ctr, Los Angeles, CA USA
[4] RAND, Santa Monica, CA USA
[5] Univ Calif Irvine, Dept Med, ITEQC Res Program, Div Gen Internal Med, Irvine, CA USA
[6] Univ Chicago Biol Sci, Dept Publ Hlth Sci, Dept Med, Chicago, IL USA
[7] Univ Chicago Biol Sci, Dept Publ Hlth Sci, 5841 S Maryland Ave,Room 214, Chicago, IL 60637 USA
基金:
美国国家卫生研究院;
关键词:
Staffing;
quality;
nursing homes;
OF-CARE;
IMPACT;
D O I:
10.1016/j.jamda.2023.04.009
中图分类号:
R592 [老年病学];
C [社会科学总论];
学科分类号:
03 ;
0303 ;
100203 ;
摘要:
Objective: This study examines how measures of staffing-turnover and instability-are associated with one another and how they independently contribute to quality of care in nursing homes.Design: Cross-sectional analysis of 2021-2022 administrative data. Data included the Payroll Based Journal for daily staffing information, merged with Nursing Home Care Compare (NHCC) data for nursing home characteristics, total staffing turnover, and nursing home quality.Setting and Participants: A total of 11,840 nursing homes nationally reporting data on daily staffing and staffing turnover.Methods: We explored correlations between measures of staffing and estimated facility-level regression models with robust standard errors. The dependent variables were indicators of nursing home quality included in the NHCC 5-star ratings. The independent variables of interest were average total staffing hours per resident-day, total staffing turnover, and total staffing instability.Results: For the 11,840 nursing homes in the study, there was a weak positive correlation between turnover and instability, with some overlap between nursing homes with high instability and high turnover. Regression analysis revealed that staffing instability and turnover contributed independently to nursing home quality, with instability having a stronger association with some measures of quality and turnover with others. Staffing instability was positively and more strongly associated with long-stay residents' decline in activities of daily living levels and receipt of antipsychotic drugs and short-stay residents' functioning at discharge. Turnover was positively and more strongly associated with long -stay residents' prevalence of pressure ulcers and worsening mobility, and short-stay residents' hospitalizations.Conclusion and Implications: Instability and turnover in total nursing home staffing independently contribute to nursing home quality. This suggests that adding measures of staffing instability to the existing measures of average staffing and staff turnover in NHCC may enhance the report card's value for providers engaged in quality improvement and consumers searching for high-quality nursing homes.& COPY; 2023 The Authors. Published by Elsevier Inc. on behalf of AMDA -The Society for Post-Acute and Long-Term Care Medicine. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
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页码:1099 / +
页数:14
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