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Nursing home (NH) providers would benefit from adopting evidence-based measures for gathering and utilizing resident preference information in their daily care activities. However, providers face barriers when implementing assessment tools used to promote person-centered care (PCC). Although Agile methodology is not commonly used in NH settings, this case study shows how it can be used to achieve the goal of delivering preference-based, PCC, within a large NH. We present a road map for breaking down care processes, prioritizing, and implementing iterative plan, do, study, act cycles using Agile methodology to enhance group collaboration on quality improvement cycles, to achieve our goal of providing preference-based PCC. We first determined if care plans reflected each resident's important preferences, developed a method for tracking whether residents attended activities that matched their preferences, and determined if residents were satisfied that their preferences were being met. These efforts had positive effects throughout the NH particularly when COVID-19 limited visitors and significantly modified staff workflow. Specifically, Agile processes helped staff to know how to honor preferences during quarantines which necessitated a shift to individualized (and not group) approaches for meeting preferences for social contact, comfort, and belonging. The ready availability of preference-based reporting was critical to quickly informing new staff on how to meet residents' most important preferences. Based on lessons learned, we describe a developmental approach that other providers can consider for adoption. Implications of this work are discussed in terms of the need for provider training in Agile methodologies to support iterative improvements, the need for policies that reimburse providers for their efforts, and additional research around workflow processes., (Copyright © 2022 AMDA – The Society for Post-Acute and Long-Term Care Medicine. All rights reserved.)

Objectives: The purpose of this study was to expand on prior work testing invariance on several depression measures in community-based older adults and explore the psychometric properties and evidence of invariance between racial groups based on the Cornell Scale for Depression in Dementia., Design: This was a descriptive measurement study., Setting and Participants: This was a secondary data analysis using baseline data from 2 studies: Testing the Implementation of the Evidence Integration Triangle for Behavioral and Psychological Symptoms Associated with Dementia and the study Testing the Impact of Function and Behavior Focused Care for Nursing Home Residents with Dementia. Combined, 67 nursing homes participated from 2 states and 889 residents were recruited. The mean age of the participants was 86.58 (SD 10.31) and most were women (72%) and White (70%)., Methods: This was a descriptive study, and a Rasch analysis was done to establish reliability based on internal consistency and evidence of differential item functioning (DIF) across races. Validity was based on item fit and model testing with structural equation modeling to compare models between White and Black participants., Results: There was evidence of internal consistency (alpha coefficient of 0.98) and no significant evidence of DIF. The item related to suicide had a high logit and did not significantly load onto the measurement model for Black individuals. There was not a good spread of the items across the concept of depression. The model had a better fit with the items when used with White versus Black participants., Conclusions and Implications: The findings indicate that it would be helpful to add some additional items that reflect depressive symptoms among this population. Further, the findings serve as a reminder that this measure may be biased toward identification of symptoms of depression among White versus Black residents., (Copyright © 2021 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Increasingly, nursing home (NH) providers are adopting a person-centered care (PCC) philosophy; yet, they currently lack methods to measure their progress toward this goal. Few PCC tools meet criteria for ease of use and feasibility in NHs. The purpose of this article is to report on the development of the concept and measurement of preference congruence among NH residents (phase 1), its refinement into a set of quality indicators by Advancing Excellence in America's Nursing Homes (phase 2), and its pilot evaluation in a sample of 12 early adopting NHs prior to national rollout (phase 3). The recommended toolkit for providers to use to measure PCC consists of (1) interview materials for 16 personal care and activity preferences from Minimum Data Set 3.0, plus follow-up questions that ask residents how satisfied they are with fulfillment of important preferences; and (2) an easy to use Excel spreadsheet that calculates graphic displays of quality measures of preference congruence and care conference attendance for an individual, household or NH. Twelve NHs interviewed residents (N = 146) using the toolkit; 10 also completed a follow-up survey and 9 took part in an interview evaluating their experience., Results: NH staff gave strong positive ratings to the toolkit. All would recommend it to other NHs. Staff reported that the toolkit helped them identify opportunities to improve PCC (100%), and found that the Excel tool was comprehensive (100%), easy to use (90%), and provided high quality information (100%). Providers anticipated using the toolkit to strengthen staff training as well as to enhance care planning, programming and quality improvement., Conclusions: The no-cost PCC toolkit provides a new means to measure the quality of PCC delivery. As of February 2014, over 700 nursing homes have selected the Advancing Excellence in America's Nursing Homes PCC goal as a focus for quality improvement. The toolkit enables providers to incorporate quality improvement by moving beyond anecdote, and advancing more systematically toward honoring resident preferences., (Copyright © 2014 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.)