Nursing Home PRevention of Injury in DEmentia (NH PRIDE): A pilot study of a remote injury prevention service for NH residents.

Abstract

Medication optimization, including prescription of osteoporosis medications and deprescribing medications associated with falls, may reduce injurious falls. Our objective was to describe a remote, injury prevention service (NH PRIDE) designed to optimize medication use in nursing homes (NHs), and to describe its implementation outcomes in a pilot study. This was a non-randomized trial (pilot study) including NH staff and residents from five facilities. Long-stay residents at high-risk for injurious falls were identified using a validated risk calculator and staff referral. A remote team reviewed the electronic health record (EHR) and provided recommendations as Injury Prevention Plans (IPP). A research nurse served as a care coordinator focused on resident engagement and shared decision-making. Outcomes included implementation measures, as identified in the EHR, and surveys and interviews with staff. Across five facilities, 274 residents were screened for eligibility, and 46 residents (16.8%) were enrolled. Most residents were female (73.9%) and had dementia (63.0%). An IPP was completed for 45 residents (97.8%). The nurse made a total of 93 deprescribing recommendations in 36 residents (80% of residents had one or more deprescribing recommendation; mean 2.2 recommendations/resident). Twenty of 45 residents (44.4%) had a recommendation for osteoporosis treatment. Among residents with recommendations, 21/36 (58.3%) had one or more deprescribing orders written and 6/20 (30.0%) had an osteoporosis medication prescribed. At 4 months, most medication changes persisted. Adverse side effects were rare. Staff members identified several areas for program refinement, including aligning recommendations with provider workflow and engaging consultant psychiatrists. A remote injury prevention service is safe and feasible to enhance deprescribing and osteoporosis treatment in long-stay NH residents at risk for injury. Additional investigation is needed to determine if this model could reduce injurious falls when deployed across NH chains.