Journal of pain and symptom management
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J Pain Symptom Manage · Jan 2021
Identifying Goals of Care Conversations in the Electronic Health Record, Using Natural Language Processing and Machine Learning.
Goals-of-care discussions are an important quality metric in palliative care. However, goals-of-care discussions are often documented as free text in diverse locations. It is difficult to identify these discussions in the electronic health record (EHR) efficiently. ⋯ Using NLP and ML techniques, we developed a novel approach to identifying goals-of-care discussions in the EHR. NLP and ML represent a potential approach toward measuring goals-of-care discussions as a research outcome and quality metric.
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J Pain Symptom Manage · Jan 2021
Psychological Adaptation to Serious Illness: A Qualitative Study of Culturally Diverse Patients with Advanced Chronic Kidney Disease.
Psychological distress is associated with adverse health outcomes in serious illness and magnified among patients of low socioeconomic status. Aspects of one's culture, such as religion and spirituality, can influence these patients' coping response to distress. Advanced chronic kidney disease (CKD) is a serious illness that disproportionately affects patients of low socioeconomic status, but a theory-based understanding of this group's lived experience of CKD is lacking. ⋯ Individuals with advanced CKD and low socioeconomic status lack control over disease progression, experience death anxiety and existential distress, and emphasize spirituality to cope. Our study identifies novel components for a psychotherapeutic intervention for patients with advanced CKD at high risk for adverse health outcomes.
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J Pain Symptom Manage · Jan 2021
Randomized Controlled TrialHealth Information Preferences and Curability Beliefs Among Patients with Advanced Cancer.
Accurate prognostic understanding is associated with increased advance care planning, symptom control, and patient autonomy in oncology. The impact of prognostic understanding on patients' health information preferences (HIPs) and prognostic information preferences is unknown and has important implications for health care communication. ⋯ In the present study, prognostic understanding (i.e., curability beliefs) was not associated with HIPs. Therefore, oncology clinicians must individually and interatively evaluate patients' interest and preferences for receiving information. Future research should further clarify preferences for the framing and content of prognostic information from providers and improve the measurement of prognostic understanding to facilitate patient-centered end-of-life care.