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Quantifying Pain Location and Intensity with Multimodal Pain Body Diagrams
Published on: July 7, 2023
Clinical and demographic characteristics help explain variations in pain at the end of life
Scott A Strassels1, David K Blough, David L Veenstra
1Division of Pharmacy Practice, University of Texas at Austin College of Pharmacy, Austin, Texas, USA. scotts1@mail.utexas.edu
Abstract:
The natural history of pain at the end of life is not well understood. The purpose of this study was to estimate the association between clinical and demographic characteristics and pain in persons who received hospice care in the United States. Data for this study were obtained from a national provider of hospice pharmacy services and included information about the hospice and person receiving hospice care, including geographic location, primary diagnoses, pain intensity, and opioid analgesic use. The data were collected from 2000 to 2004. Worst pain intensity during the previous 24 hours was assessed by the hospice nurse using a 0-10 numeric rating scale (0=none, 10=worst) at an average of 4.1 times per person during hospice care. Regression models were constructed to explain last and average pain scores using data from persons with at least two pain intensity scores. Hospice services were provided to 51,578 persons with at least two pain intensity scores. Of this cohort, 52% were female, 87.5% were Caucasian, and 66.4% had a primary diagnosis of cancer. The mean age at discharge or death was 73.8 years. Patient characteristics accounted for nearly one-third and nearly one-half of the variability in last and average pain scores, respectively. Severe pain on admission and frequency of pain reports were associated with less intense pain. Clinical and demographic characteristics contributed to identifying persons who had severe pain during their hospice admission. These data contribute to understanding pain in persons at the end of life.
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