Identification, Quantification, and Characterization of Nursing Home Resident Pain Trajectories

Date
2022-05
Language
American English
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Ph.D.
Degree Year
2022
Department
School of Nursing
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Indiana University
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Abstract

Pain prevalence in nursing home (NH) residents is high. Studies report up to 85.0% of NH residents experience pain and up to 58.0% experience persistent pain. Pain in NH residents can lead to decreased happiness, quality of life, and life satisfaction. Traditionally, pain has been studied in relation to specific comorbid conditions or pain subtypes (nociceptive, neuropathic) with little consideration for the dynamic (temporal) nature of pain. Current pain subtypes are clinically linked to recommended pain treatments and provide insight into underlying mechanisms. However, current pain subtypes are limited by their focus on pain origin, do not include severity or duration of the pain experience, and do not illustrate how the course or trajectory of pain changes over time. Understanding the trajectory of pain experience can provide opportunities to alter the course of pain experience, improve residents’ quality of life and prevent adverse outcomes. This dissertation provides the first evidence of four distinct pain trajectories among NH residents including persistent pain which was associated with several resident characteristics and clinically relevant diagnosis. Using residents’ characteristics associated with persistent pain, such as a history of fracture or contracture, may improve care planning based on early identification or risk stratification and can improve mitigation of persistent pain. To identify and characterize pain trajectories in NH residents, the following activities were completed (1) systematic review of the literature related to prevalence of pain and associated factors in NH residents, (2) cross-sectional analysis of secondary data to examine prevalence of pain, persistent pain, and factors associated with pain in NH residents, and (3) a longitudinal retrospective analysis of secondary data using group-based trajectory modeling to identify, quantify, and characterize NH pain trajectories. The findings from this study highlight the prevalence and complexity of pain in NH residents.

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Indiana University-Purdue University Indianapolis (IUPUI)
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