Journal of pain and symptom management
-
J Pain Symptom Manage · Dec 2024
ReviewArtificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review.
Pain is a challenging multifaceted symptom reported by most cancer patients. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and pain management in cancer. ⋯ Implementation of AI/ML tools promises significant advances in the classification, risk stratification, and management decisions for cancer pain. Further research focusing on quality improvement, model calibration, rigorous external clinical validation in real healthcare settings is imperative for ensuring its practical and reliable application in clinical practice.
-
Children are a uniquely vulnerable patient population with restricted abilities for self-advocacy and autonomy, risking infringement upon their dignity. Yet the concept of dignity in pediatrics remains underexplored relative to the adult literature and other outcome measures. ⋯ Relatively few published studies describe dignity in pediatrics. Opportunities exist to broaden scholarship on this topic in partnership with patients, families, and clinicians, with the goal of assessing and strengthening dignity-centered care across the illness course and at the end of life.
-
J Pain Symptom Manage · Dec 2024
Comparative StudyAddressing Statistical Power and Increasing Diversity in Hospice Research: Electronic Medical Record Participant Identification Compared to Nurse Referral Approaches to Recruitment.
Recruitment of targeted samples into hospice clinical trials is often challenging. While electronic medical records (EMR) are commonly used in hospital-based research, it is uncommon in hospice research. The community setting and the variability in hospices and their medical record creates unique challenges. ⋯ The EMR-identified recruitment process is the recommended method in hospice research.
-
J Pain Symptom Manage · Dec 2024
Randomized Controlled TrialCulturally Adapted RN-MD Collaborative SICP-Based ACP: Feasibility RCT in Advanced Cancer Patients.
Cultural adaptation is essential for optimizing programs centered around autonomy, such as the Serious Illness Care Program (SICP), especially for populations valuing family-involved decision-making. ⋯ Despite not meeting the targeted completion rate, the intervention group demonstrated enhanced spiritual well-being, QOL, and ACP progress. Our findings suggest revisions to the intervention manual to improve feasibility and to progress to an efficacy-focused randomized controlled trial.
-
J Pain Symptom Manage · Dec 2024
Clinical TrialCONTINUUM: A Post-Discharge Supportive Care Intervention for Hospitalized Patients with Advanced Cancer.
Patients with advanced cancer are at increased risk for multiple hospitalizations and often have considerable needs postdischarge. Interventions to address patients' needs after transitioning home are lacking. ⋯ An oncology NP-delivered intervention immediately after hospital discharge is a feasible and acceptable approach to providing postdischarge care for hospitalized patients with advanced cancer.