Reducing Depressive Symptoms in Nursing Home Residents: Evaluation of the Pennsylvania Depression Collaborative Quality Improvement Program.

Depression reduces quality of life for nursing home (NH) residents and places them at greater risk for disability, medical morbidity, and mortality. However, accumulating evidence suggests that interventions for early detection and treatment can mitigate symptoms of clinical and subclinical levels of depression. The Promoting Positive Well-Being (PPW) program is a quality improvement (QI) intervention that features tools and strategies to assist NHs in early identification, assessment, treatment, and monitoring of residents with depressive symptoms. The PPW was evaluated in 40 NHs through an 8-month QI collaborative that provided participants with tools, webinar training, and technical support. Results showed a significant group by time interaction effect with facility quality rating as a covariate; the active group (n = 18 NHs) outperformed the waitlist control group (n = 19 NHs). In all, there was a 58% relative reduction in the percentage of residents with self-reported moderate-to-severe depressive symptoms. Most NHs reported that they were satisfied with the collaborative (97%) and would recommend it to others (86%); only 15% reported significant challenges. The rate of webinar attendance and data submission compliance was 92%. Results suggest that PPW is a promising approach that should be further evaluated in larger NH initiatives and other settings.

New toolkit to measure quality of person-centered care: development and pilot evaluation with nursing home communities.

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.