Variations in Care Quality Outcomes of Dying People: Latent Class Analysis of an Adult National Register Population

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• 关键词：Dying ; end of life ; palliative care ; public health ; quality of health care ; symptom clusters
• 刊名：Journal of Pain and Symptom Management
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：53
• 期：1
• 页码：13-24
• 全文大小：362 K
• 卷排序：53

文摘

Symptom 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.