scholarly journals Evaluation of Minnesota’s Long-Stay Nursing Home Quality Indicators

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 541-541
Author(s):  
Dongjuan Xu ◽  
Teresa Lewis ◽  
Marissa Rurka ◽  
Greg Arling

Abstract The Minnesota Nursing Home Report Card provides 19 clinical quality indictor (QI) ratings. Currently, face validity and expert opinions are employed to group the 19 long-stay QIs into 10 different domains. However, we do not know whether these domains are supported by the data. Under the current scoring program, some QIs may not discriminate very well between facilities. The objective was to evaluate the dimensionality of the QIs and the current scoring approach used to assign points to the domain and total QI scores. Risk-adjusted facility-level rates for the 19 QIs over the 2012-2019 period were used. Our findings indicate it is reasonable to categorize these QIs into 4 domains. Moreover, the current scoring approach is best suited for a facility QI distribution that is approximately normal. However, 11 QIs display a skewed distribution with facilities tightly grouped at the very bottom (floor) or top (ceiling) of the QI distribution. Our findings suggest that the current scoring approach may distort or exaggerate the differences in the QI rates with skewed distributions, assigning widely varying points to facilities that vary little in their QI rates. We recommend a zero-error approach for highly skewed QIs where the QI outcome is achievable and it reflects a serious quality problem. Our study of the QI scoring system is part of a package of recommendations to improve the Minnesota Nursing Home Report Card and value-based reimbursement system. Lessons learned from the study are readily applicable to Medicare’s Nursing Home Compare report.

2003 ◽  
Vol 3 (1) ◽  
Author(s):  
Stephanie Kissam ◽  
David Gifford ◽  
Peggy Parks ◽  
Gail Patry ◽  
Laura Palmer ◽  
...  

2016 ◽  
Vol 17 (2) ◽  
pp. 136-141 ◽  
Author(s):  
Suzanne M. Gillespie ◽  
Tobie Olsan ◽  
Dianne Liebel ◽  
Xueya Cai ◽  
Reginald Stewart ◽  
...  

Author(s):  
Christianna S. Williams ◽  
Qing Zheng ◽  
Alan J. White ◽  
Ariana I. Bengtsson ◽  
Evan T. Shulman ◽  
...  

2021 ◽  
Vol 6 (6) ◽  
pp. e005833
Author(s):  
Leena N Patel ◽  
Samantha Kozikott ◽  
Rodrigue Ilboudo ◽  
Moreen Kamateeka ◽  
Mohammed Lamorde ◽  
...  

Healthcare workers (HCWs) are at increased risk of infection from SARS-CoV-2 and other disease pathogens, which take a disproportionate toll on HCWs, with substantial cost to health systems. Improved infection prevention and control (IPC) programmes can protect HCWs, especially in resource-limited settings where the health workforce is scarcest, and ensure patient safety and continuity of essential health services. In response to the COVID-19 pandemic, we collaborated with ministries of health and development partners to implement an emergency initiative for HCWs at the primary health facility level in 22 African countries. Between April 2020 and January 2021, the initiative trained 42 058 front-line HCWs from 8444 health facilities, supported longitudinal supervision and monitoring visits guided by a standardised monitoring tool, and provided resources including personal protective equipment (PPE). We documented significant short-term improvements in IPC performance, but gaps remain. Suspected HCW infections peaked at 41.5% among HCWs screened at monitored facilities in July 2020 during the first wave of the pandemic in Africa. Disease-specific emergency responses are not the optimal approach. Comprehensive, sustainable IPC programmes are needed. IPC needs to be incorporated into all HCW training programmes and combined with supportive supervision and mentorship. Strengthened data systems on IPC are needed to guide improvements at the health facility level and to inform policy development at the national level, along with investments in infrastructure and sustainable supplies of PPE. Multimodal strategies to improve IPC are critical to make health facilities safer and to protect HCWs and the communities they serve.


2009 ◽  
Vol 57 (8) ◽  
pp. 1498-1503 ◽  
Author(s):  
Rosa Baier ◽  
Kristen Butterfield ◽  
Gail Patry ◽  
Yael Harris ◽  
Stefan Gravenstein

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