Authors:
Princess Nash, Valerie Clark, Eleanor McConnell, Whitney Mills, Robert Morgan, Camilla Pimentel, Katherine Ritchey, Cari Levy, A Lynn Snow, & Christine Hartmann
University of Washington affiliated authors are displayed in bold.
✪ Open Access
Published: February 2024
Read the full text in the open access journal BMJ Open
Abstract:
Introduction
Falls in nursing homes are a major cause for decreases in residents’ quality of life and overall health. This study aims to reduce resident falls by implementing the LOCK Falls Programme, an evidence-based quality improvement intervention. The LOCK Falls Programme involves the entire front-line care team in (1) focusing on evidence of positive change, (2) collecting data through systematic observation and (3) facilitating communication and coordination of care through the practice of front-line staff huddles.
Methods and analysis
The study protocol describes a mixed-methods, 4-year hybrid (type 2) effectiveness-implementation study in State Veterans Homes in the USA. The study uses a pragmatic stepped-wedge randomised trial design and employs relational coordination theory and the Reach, Effectiveness, Adoption, Implementation and Maintenance framework to guide implementation and evaluation. A total of eight State Veterans Homes will participate and data will be collected over an 18-month period. Administrative data inclusive of all clinical assessments and Minimum Data Set assessments for Veterans with a State Veterans Home admission or stay during the study period will be collected (8480 residents total). The primary outcome is a resident having any fall. The primary analysis will be a partial intention-to-treat analysis using the rate of participants experiencing any fall. A staff survey (n=1200) and qualitative interviews with residents (n=80) and staff (n=400) will also be conducted. This research seeks to systematically address known barriers to nursing home quality improvement efforts associated with reducing falls.
**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**