Symptom Distress Among Diverse Patients Referred for Community-Based Palliative Care: Sociodemographic and Medical Correlates

2017 
Abstract Context Community-based palliative care programs are appearing in the U.S. Many of these programs, particularly those in large cities, serve highly diverse populations. Information about the sources of variation in the conditions that drive illness burden, like symptom distress, may be useful in program planning. Objectives To characterize variation in symptom distress among highly diverse patients referred for palliative care in an urban setting. Methods This is a retrospective cross-sectional survey of data obtained from patients at the time of enrollment in a community-based palliative care program. Symptom distress was measured using the Condensed Memorial Symptom Assessment Scale. Severe distress was defined as reporting either "quite a bit"/"very much" or "frequently"/"almost constantly" for one or more symptoms. Multivariate analysis evaluated the associations between symptom distress and sources of patient variability. Results Patients ( n  = 1532) were aged 72.2 years on average; 60.0% were women, 56.4% were African-American or Hispanic, and 30.8% were non-English speaking. Most had cancer or congestive heart failure (68.6%); 90.2% had a Karnofsky Performance Status score of 40–70. The most prevalent symptoms were fatigue (71.8%), pain (47.3%), and sadness (41.6%); the most distressing symptoms were fatigue (58.5%), worrying (54.8%), and weight loss (52.1%). In multivariate analyses, Caucasian race, non-Asian language, low Karnofsky Performance Status scores, and cancer diagnosis predicted severe symptom distress. Conclusion In a diverse urban population receiving community-based palliative care, symptoms were highly prevalent and distressing, and both sociodemographic and medical factors predicted severe distress. Program planning should consider the needs of subpopulations at risk for high symptom burden.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    25
    References
    6
    Citations
    NaN
    KQI
    []