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Variations in care quality outcomes of dying people: Latent class analysis of an adult national register population.
Ersta Sköndal University College, Department of Health Care Sciences, Palliative Research Centre, PRC. Göteborgs universitet.
Kanada.
Ersta Sköndal University College, Department of Health Care Sciences, Palliative Research Centre, PRC. Lunds universitet, Karolinska institutet .
Ersta Sköndal University College, Department of Health Care Sciences, Palliative Research Centre, PRC. Lunds universitet, Karolinska institutet .
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2016 (English)In: Journal of Pain and Symptom Management, ISSN 0885-3924, E-ISSN 1873-6513Article in journal (Refereed) Epub ahead of print
Abstract [en]

CONTEXT: Symptom relief is a key goal of palliative care. There is a need to consider complexities in symptom relief patterns for groups of people in order to understand and evaluate symptom relief as an indicator of quality of care at end of life.

OBJECTIVES: The 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.

METHODS: In a cross-sectional retrospective design, data was 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.

RESULTS: Five 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 PRN prescriptions and expert consultations.

CONCLUSION: Inter-individual variability and complexity in symptom relief patterns may inform quality of care and its evaluation for dying people across care settings.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Dying, End of life, Palliative care, Public health, Quality of health care, Symptom clusters
National Category
Nursing
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URN: urn:nbn:se:esh:diva-5480DOI: 10.1016/j.jpainsymman.2016.08.006PubMedID: 27725251OAI: oai:DiVA.org:esh-5480DiVA: diva2:1045347
Available from: 2016-11-09 Created: 2016-11-09 Last updated: 2016-11-09Bibliographically approved

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