Development of a Preliminary Collaborative Action Plan (CAP) for Care-Interfering Paratonia Using the Minimum Data Set (MDS) 2.0: A Pilot Study.

BACKGROUND

Paratonia is a form of involuntary muscle resistance affecting virtually all individuals with late-stage dementia, causing significant morbidity, including pain, skin breakdown, and caregiver burden. Despite its near-universal prevalence, paratonia remains under-recognized, and no standardized screening tools exist within routine care assessments. Identifying care-interfering paratonia supports nonpharmacologic care, helps avoid misdirected treatments, and enables research into investigational therapies such as botulinum toxin A.

OBJECTIVES

To develop a preliminary Collaborative Action Plan using items from the Minimum Data Set 2.0 (MDS 2.0) to identify residents with advanced dementia whose paratonia may have progressed to care-interfering severity.

DESIGN

Pilot study using nominal group technique consensus methodology combined with retrospective chart review.

SETTING AND

PARTICIPANTS

Single-site study at a 472-bed long-term care facility in Toronto, Canada. Thirty residents with advanced dementia and confirmed care-interfering paratonia who were candidates for botulinum toxin A treatment were included.

METHODS

An expert panel of 6 clinicians used nominal group technique to identify candidate MDS 2.0 items. Items were extracted from charts using double data entry, and frequency analysis informed final consensus on preliminary screening items.

RESULTS

From 51 initially identified items across 22 MDS 2.0 sections, the panel achieved consensus on 10 preliminary items spanning activities of daily living dependency, range-of-motion limitations, medication use, pressure injuries, and resistance to care behaviors.

CONCLUSIONS AND IMPLICATIONS: This pilot study represents a first step toward systematic paratonia identification in long-term care and community home care settings. The preliminary screening items require validation in larger, multisite studies before clinical implementation.