Context: Pain assessment in people with cognitive impairment is challenging. Objective: The study sought to 1) identify pain subgroups based on staff-assessed pain, agitated and reactive behavior, functional status, and symptoms of depression; and 2) understand if cognitive impairment was associated with transitions between pain subgroups at nursing home admission, 3 months, and 6 months. Methods: Using national Minimum Data Set 3.0 data (2011-2016), we included 26,816 newly admitted residents with staff-assessed pain at admission, 3 months, and 6 months. Pain subgroups were identified by latent class analysis at each time point. Transitions between pain subgroups were described using latent transition analysis. Results: Five latent statuses of pain were identified at admission: "Behavioral and Severe Depression" (prevalence stable, severe or worsening cognitive impairment: 11%, mild/moderate or improved cognitive impairment: 10%), "Functional" (21%; 25%), "Physical" (22%; 23%), "Behavioral" (23%, 19%), and "Low" (23%; 24%). Regardless of change in cognitive status, most residents remained in the same pain latent class. Among residents with stable, severe or worsening cognitive impairment, 11% in the "Behavioral" class transitioned to the "Behavioral and Severe Depression" class by 3 months. Fewer residents transitioned between latent classes in the 3- to 6-month period ( > 80% remained in their 3-month class). Conclusion: For nursing home residents unable to self-report pain, consideration of additional indicators including functioning, depressive symptoms, and agitation may be useful in identifying pain subgroups. Longitudinal changes in the pain subgroups over 6 months post-admission highlight that residents with severe cognitive impairment may be at risk for worsening pain.

OBJECTIVES: To examine the association between nursing home (NH) quality and new onset of depression and severity of depressive symptoms in a national cohort of long-stay NH residents in the United States. DESIGN: Cohort study. SETTING AND PARTICIPANTS: 129,837 long-stay residents without indicators of depression admitted to 13,921 NHs. METHODS: NH quality was measured by Nursing Home Compare star ratings (overall, health inspection, staffing, quality measures) closest to admission. Study outcomes at 90 days from the Minimum Data Set 3.0 included depression diagnosis and severity of depressive symptoms (minimal; mild; moderate; moderately severe/severe). Symptoms were measured by resident self-report Patient Health Questionnaire (PHQ-9) or a staff-report observational version (PHQ-9-OV). Logistic and multinomial logistic models with generalized estimating equations were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs). RESULTS: At 90 days postadmission, 14.1% of residents had a new diagnosis of depression, and odds did not differ across star ratings. Nearly 90% of these residents had minimal depressive symptoms, with only 8.5% reporting mild symptoms and 2.6% with moderate to severe symptoms. Using minimal depressive symptoms as the reference, residents in NHs with 5-star overall ratings were 12% less likely than those in 3-star NHs to experience mild (95% CI: 0.81-0.96) and 31% less likely to experience moderate symptoms (95% CI: 0.58-0.82). In NHs with 1-star staffing compared to 3-star, residents had 37% higher odds of moderate symptoms (95% CI: 1.14-1.64) and 57% higher odds of moderately severe to severe depressive symptoms (95% CI: 1.17-2.12). The odds of any above-minimal depressive symptoms decreased as quality measure ratings increased. CONCLUSIONS/IMPLICATIONS: Lower NH quality ratings were associated with more severe depressive symptoms. Further investigation is warranted to identify potential mechanisms for a targeted intervention to improve quality and provide more equitable care.