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Background: Understanding changes in nursing home (NH) resident pain over time would provide a more informed perspective, allowing opportunities to alter the course of illness, plan care, and set priorities. Therefore, the purpose of this analysis was to identify and characterize clinically meaningful, dynamic pain trajectories in NH residents. Methods: Retrospective longitudinal analysis of NH resident pain scores with a length of stay >100 days (N = 4864). Group‐based trajectory modeling was applied to Minimum Data Set 3.0 assessments to identify pain trajectories. Trajectories were then characterized using unadjusted and adjusted cross‐sectional associations between residents' demographic and clinical characteristics and their pain trajectory. Results: We identified four distinct trajectories: (1) consistent pain absence (48.9%), (2) decreasing‐increasing pain presence (21.8%), (3) increasing‐decreasing pain presence (15.3%), and (4) persistent pain presence (14.0%). Demographics of younger age and living in a rural area were associated with the persistent pain presence trajectory. Clinical variables of obesity and intact cognition were associated with being in the persistent pain presence trajectory. A smaller proportion of residents with moderately or severely impaired cognition were in any of the trajectory groups with pain. Conclusions: We identified and characterized four pain trajectories among NH residents, including persistent pain presence which was associated with demographic characteristics (younger, female, rural) and clinical factors (obese, fracture, contracture). Moreover, residents with a diagnosis of Alzheimer's disease or dementia were less likely to be in any of the three trajectories with pain, likely representing the difficulty in evaluating pain in these residents. It is important that NH staff understand, recognize, and respond to the factors associated with the identified pain trajectories to improve mitigation of potentially persistent pain (e.g., hip fracture, contracture) or improve proxy pain assessment skills for residents at risk for under reporting of pain (e.g., Alzheimer's Disease). [ABSTRACT FROM AUTHOR]

Human microbiome research provides rich opportunities to elucidate factors influencing health, uncover novel biomarkers, and expand disease treatment options. A well-conducted microbiome study depends not only on a rigorous design but also on successfully engaging participants in collecting quality samples. In this paper, we aim to describe (1) strategies our team used to engage adolescents and young adults in vaginal and gut microbiome sample self-collection and (2) their effectiveness. In our prospective, longitudinal, feasibility study of 20 female adolescents and young adults, research participants self-collected vaginal and gut microbiome samples at home. Using a participatory and iterative process, we developed strategies to engage participants in sample self-collection, including (1) providing clear instructions to ensure comprehension and buy-in, (2) providing a user-friendly take-home package, (3) minimizing disgust/embarrassment associated with sample collection, and (4) follow-up communications to facilitate sample collections and return. With these strategies, we achieved 100% participant retention and 100% sample return rates. All samples (n = 80, 100%) were usable for downstream 16s rRNA gene sequencing and analysis. All participants rated the study procedures as acceptable, and qualitative data showed that strategies were well received by participants. This study suggests that carefully planning and implementing strategies to engage participants in sample self-collection can result in high degrees of participant compliance, sample quality, and participant satisfaction in microbiome research. [ABSTRACT FROM AUTHOR]

Dysmenorrhea affects most reproductive-age women and increases the risk of future pain. To evaluate dysmenorrhea interventions, validated outcome measures are needed. In this two-phase study, we developed and tested the dysmenorrhea symptom interference scale. During the scale-development phase (n = 30), we created a nine-item scale based on qualitative data from cognitive interviews. During the scale-testing phase (n = 686), we evaluated reliability, validity, and responsiveness to change. The scale measures how dysmenorrhea symptoms interfere with physical, mental, and social activities. Internal consistency was strong with Cronbach's α > 0.9. Test–retest reliability was acceptable (r = 0.8). The scale showed satisfactory content validity, construct validity (supported by confirmatory factor analysis), concurrent validity, and responsiveness to change. The minimally important difference was 0.3 points on a scale with a possible total score ranging from 1 to 5. This new psychometrically sound scale can be used in research and clinical practice to facilitate the measurement and management of dysmenorrhea. [ABSTRACT FROM AUTHOR]