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Related Experiment Video

Updated: Jun 21, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Helping nursing homes "at risk" for quality problems: a statewide evaluation.

Marilyn J Rantz¹, Debra Cheshire, Marcia Flesner

¹Sinclair School of Nursing and Family and Community Medicine, School of Medicine, University of Missouri, Columbia, MO, USA.

Geriatric Nursing (New York, N.Y.)

|August 12, 2009

Summary

The Quality Improvement Program for Missouri (QIPMO) provided expert nursing consultations to at-risk nursing homes. Participating facilities significantly improved resident care quality and safety, leading to substantial cost savings.

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Last Updated: Jun 21, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Area of Science:

Gerontology
Nursing Home Quality Improvement
Healthcare Management

Background:

Nursing homes face challenges in maintaining high quality of care.
Identifying and supporting facilities with quality concerns is crucial for resident outcomes.
The Quality Improvement Program for Missouri (QIPMO) targets 'at-risk' nursing homes.

Purpose of the Study:

To evaluate the effectiveness of on-site clinical consultations provided by expert gerontological nurses.
To assess the impact of QIPMO on quality indicators (QIs) in at-risk nursing homes.
To determine the cost-effectiveness of the QIPMO intervention.

Main Methods:

On-site clinical consultations offered to 60 'at-risk' nursing homes by gerontological expert nurses.
Consultations focused on quality improvement, Minimum Data Set (MDS) utilization, care planning, evidence-based practice, and teamwork.
Quality indicators (QIs) derived from MDS data were used to track improvements.

Main Results:

Participating 'at-risk' facilities showed significant improvements (4%-41%) in 5 key QIs: pressure ulcers, weight loss, bedfast residents, and falls.
Non-participating facilities in the state did not show similar improvements.
Estimated cost savings exceeded $1.5 million in fiscal year 2006, with similar savings in 2005.

Conclusions:

On-site clinical consultations by expert gerontological nurses are clinically effective in improving nursing home quality.
The QIPMO intervention demonstrates a positive return on investment, with estimated annual savings exceeding program costs by over $1 million.
Targeted quality improvement programs can significantly enhance resident outcomes and reduce healthcare costs in nursing homes.