Add like
Add dislike
Add to saved papers

Rehab MATRIX: Content Validity of a Nursing-Led Patient Assignment Algorithm.

PURPOSE: The provision of conscientious nursing care is at the forefront of health quality. Unfortunately, a lack of standardization in the assignment of patients to nurses can lead to care inequities. Rehab MATRIX is a nursing-led tool that equitably assigns patients using select acuity variables.

DESIGN AND METHODS: In this initial study, we asked focus groups of 19 registered nurses and 8 patient care assistants to identify medical interventions that increase the effort of nursing care at a 24-bed inpatient rehabilitation facility (IRF). This IRF is affiliated with a comprehensive heart and vascular institute, a level I trauma center, and a The Joint Commission (TJC) Comprehensive Stroke Center.

FINDINGS: Thirteen acuity variables were included in the Rehab MATRIX patient assignment grid. High-acuity patients with greater than 6 variables were color-coded "red," medium-acuity patients with 3 to 5 variables were color-coded "yellow," and low-acuity patients with less than 3 variables were color-coded "green." Each registered nurse and patient care assistant were assigned an equitable number of red-, yellow-, and green-coded patients per shift. New admissions were Rehab MATRIX color-coded during nursing report and assigned objectively.

CONCLUSIONS: Nursing staff at a wide-ranging IRF created Rehab MATRIX, an equitable patient assignment tool, representative of nursing effort needed to provide quality care.

CLINICAL RELEVANCE: Nursing-led patient assignment tools increase autonomy and provide the opportunity for all nursing staff to influence healthcare practice. These factors may lead to increased nursing satisfaction and decreased burnout.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app