• Joakim Öhlén, Lara Russell, Cecilia Håkanson, Anette Alvariza, Carl Johan Fürst, Kristofer Årestedt, and Richard Sawatzky.
• Palliative Research Centre and Department of Health Care Science, Ersta Sköndal University College, Stockholm, Sweden; Institute of Health and Care Sciences and University of Gothenburg Centre for Person-Centred Care, Sahlgrenska Academy at the University of Gothenburg, Sweden. Electronic address: joakim.ohlen@gu.se.
• J Pain Symptom Manage. 2017 Jan 1; 53 (1): 13-24.

ContextSymptom relief is a key goal of palliative care. There is a need to consider complexities in symptom relief patterns for groups of people to understand and evaluate symptom relief as an indicator of quality of care at end of life.ObjectivesThe aims of this study were to distinguish classes of patients who have different symptom relief patterns during the last week of life and to identify predictors of these classes in an adult register population.MethodsIn a cross-sectional retrospective design, data were used from 87,026 decedents with expected deaths registered in the Swedish Register of Palliative Care in 2011 and 2012. Study variables were structured into patient characteristics, and processes and outcomes of quality of care. A latent class analysis was used to identify symptom relief patterns. Multivariate multinomial regression analyses were used to identify predictors of class membership.ResultsFive latent classes were generated: "relieved pain," "relieved pain and rattles," "relieved pain and anxiety," "partly relieved shortness of breath, rattles and anxiety," and "partly relieved pain, anxiety and confusion." Important predictors of class membership were age, sex, cause of death, and having someone present at death, individual prescriptions as needed (PRN) and expert consultations.ConclusionInterindividual variability and complexity in symptom relief patterns may inform quality of care and its evaluation for dying people across care settings.Copyright © 2016 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

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