Rehab MATRIX: Impact of a Nursing-Led Acuity Algorithm on Patient Safety and Healthcare Quality

Nurse's Role Clinical Trial

— Rehab MATRIX  

Official title:

Rehab MATRIX: Impact of a Nursing-Led Acuity Algorithm on Patient Safety and Healthcare Quality

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT02850952
• Other study ID #: HSC-MS-16-0358
• Status: Completed
• Phase: N/A
• Start date: July 2016
• Est. completion date: January 2017

Study information

• Verified date: August 2020
• Source: The University of Texas Health Science Center, Houston
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

To determine whether implementation of Rehab MATRIX will improve patient safety, patient satisfaction and nursing indices.

Description:

The provision of efficient and conscientious nursing care is at the forefront of health care quality. Unfortunately, a lack of objectivity in the assignment of patients to nurses can lead to inequalities of care. Such inequalities translate to poor patient outcomes and diminished patient satisfaction. Furthermore, staff attrition related to nursing fatigue increases the cost of care due to a reliance on supplemental nurses. Rehab MATRIX is a patient assignment tool that objectively categorizes patients undergoing inpatient rehabilitation based on nurse identified acuity variables.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 40
• Est. completion date: January 2017
• Est. primary completion date: January 2017
• Accepts healthy volunteers: No
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• Rehabilitation Nursing Staff within Six Study Centers

• Patient hospitalized within the Rehabilitation Unit during the study period

Exclusion Criteria:

• Other Nursing Staff

• Patients hospitalized on non-rehabilitation units

Related Conditions & MeSH terms

• Nurse's Role
• Nurse-Patient Relations
• Patient Fall
• Satisfaction

Intervention

Other:
• Rehab MATRIX
Rehab MATRIX is a patient assignment tool that objectively categorizes patients undergoing inpatient rehabilitation based on nurse identified acuity variables.

Locations

Country	Name	City	State
United States	University of Texas Health Science Center at Houston	Houston	Texas

Sponsors (3)

Lead Sponsor	Collaborator
The University of Texas Health Science Center, Houston	Memorial Hermann Health System, Memorial Hermann Texas Medical Center

Country where clinical trial is conducted

United States, 

References & Publications (1)

Ifejika NL, Okpala MN, Moser HA, Watkins JN, Noser EA. Rehab MATRIX: Content Validity of a Nursing-Led Patient Assignment Algorithm. J Neurosci Nurs. 2019 Feb;51(1):33-36. doi: 10.1097/JNN.0000000000000418. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Change in the number of falls per 1000 patient days (falls per 100 patient days is a standardized proportion)		Baseline, 1 month, 2 months, 3 months, 4 months, 5 months, 6 months
Secondary	Change in Patient Satisfaction as assessed by the Press Ganey Survey		Baseline, 1 month, 2 months, 3 months, 4 months, 5 months, 6 months
Secondary	Change in Nursing Fatigue as assessed by number of unexcused nurse absences		Baseline, 1 month, 2 months, 3 months, 4 months, 5 months, 6 months
Secondary	Change in Nursing Satisfaction as assessed by a survey	Two weeks prior to Rehab MATRIX initiation, a six question pre-implementation survey will be distributed via Survey Monkey to the nursing staff, evaluating nurse perceptions of the traditional nursing assignment. Questions 1 to 4 will be measured on a Likert Scale of 1 to 5; 1 - strongly disagree, 2 - disagree, 3 - neutral, 4 - agree, 5 - strongly agree.; At the end of the six month study period, a post-implementation Rehab MATRIX survey will be distributed at each center via Survey Monkey, examining the impact of Rehab MATRIX on workload equity, fairness, the role of seniority and overall satisfaction with the nurse assignment process.	Two weeks prior to initiation, 6 months