4.5 Article

Distinguishing symptom patterns in adults newly diagnosed with cancer: a latent class analysis

Journal

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT
Volume 64, Issue 2, Pages 146-155

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jpainsymman.2022.04.172

Keywords

Cancer; oncology; symptom clusters; health equity; latent class analysis; patient reported outcome measure (PROM)

Funding

  1. Centre for Health Evaluation and Outcome Sciences at Providence Health Care
  2. Canada Research Chairs program
  3. Centre for Person-Centred Care at the University of Gothenburg (GPCC), Sweden
  4. Swedish Government's grant for Strategic Research Areas, Care Sciences (Application to Swedish Research Council) [2009-1088]
  5. University of Gothenburg, Sweden

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According to the research findings, there are significant differences in symptom patterns among patients during their initial oncology visit, which are closely associated with clinical diagnoses and socio-demographic differences. These results highlight the importance of considering the social situation of patients, rather than just their diagnosis, to better understand the differences in symptom patterns among people living with cancer.
Context. Socio-demographic differences, including place of residence, socio-economic status, ethnicity, and gender, have been associated with various inequities in cancer care outcomes. Objectives. The aims were to distinguish subgroups of patients with different symptom patterns at the time of the initial oncology visit and determine which clinical and socio-demographic variables are associated the different symptom patterns. Method. Responses to the Edmonton Symptom Assessment Scale- revised and clinical and socio-demographic variables were obtained via the Ontario Cancer Registry and linked health data files. Latent class analyses were conducted to identify and compare the subgroups. Results. The cohort (n = 216,110) with a mean age of 64.5 years consisted of 54.1% women. The analyses identified six latent classes (proportions ranging from 0.09 to 0.31) with distinct symptom patterns, including: 1) many severe symptoms, 2) many less severe symptoms, 3) predominantly mild symptoms, 4) severe psychosocial symptoms, 5) severe somatic symptoms, 6) few symptoms. The subgroups were associated not only with clinical differences (diagnoses and functional status), but also with various socio-demographic (age, sex) and community characteristics (neighborhood income, proportion of foreign born, rurality). Conclusion. The results indicated that there were substantial differences in symptom patterns at the time of the initial oncology visit, which were associated with both clinical diagnoses and socio-demographic differences. These results point to the importance of taking the social situation of patients into account, and not just diagnosis, to better understand differences in symptom patterns of people living with cancer. J Pain Symptom Manage 2022;64:146-155. (c) 2022 The Authors. Published by Elsevier Inc. on behalf of American Academy of Hospice and Palliative Medicine. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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