This study investigates the use of the EORTC QLQ-C30 questionnaire to assess supportive care needs among cancer patients and align patient-identified needs with physician-assessed needs. The aim is to enhance care delivery and referral to supportive clinics, including pain management, physiotherapy, nutrition, and psychotherapy. Improved cancer care requires appropriate utilization of supportive clinics, particularly for patients with advanced or terminal disease. The study evaluated a navigation process for patients requiring supportive care services based on responses to the EORTC Quality of Life questionnaire, conducted as part of the "Evidence-Based Patient Navigation" initiative. The questionnaire assessed multiple domains relevant to supportive care needs. Approval to use the EORTC QLQ-C30 questionnaire was obtained from the European Organisation for Research and Treatment of Cancer before study initiation. The study process included both the EORTC Quality of Life questionnaire, representing patient-identified needs, and physician-assessed needs across four supportive clinics: pain management, physiotherapy, nutrition, and psychotherapy. Clinic navigation was determined by a threshold score ranging from 0 to 4. Patients requiring specialized support were defined as having a score greater than 2, whereas patients with scores of 2 or lower were classified as not requiring specialized supportive clinic referral. The data collection phase ran from January 1, 2024, to September 30, 2024, followed by data analysis. A consistency analysis was conducted to measure alignment between patient-identified needs and physician-assessed needs.
The study design is based on the growing recognition of the need for tailored supportive care services for cancer patients, particularly patients with advanced or terminal diagnoses. Supportive care services, such as pain management, physiotherapy, nutrition counseling, and psychotherapy, are essential for improving quality of life in this patient population. The EORTC QLQ-C30 questionnaire was chosen as a validated tool to systematically identify patient-specific needs across multiple domains relevant to health and well-being. By integrating patient-reported outcomes with physician-assessed needs, the study addresses a critical gap in aligning healthcare provider interventions with patient-identified supportive care needs. The inclusion of a threshold score to guide navigation ensures objective, evidence-based decisions when directing patients to appropriate supportive services. The intervention focuses on using a patient navigation system to bridge the gap between identified supportive care needs and utilization of specialized clinics. The rationale for this approach is based on evidence that tailored supportive care interventions can improve quality of life, symptom management, and patient satisfaction in cancer care. By combining patient-reported quality-of-life assessments with physician evaluations, the study ensures that referrals are based on a holistic understanding of patient needs. The threshold score system provides a structured and standardized method to identify patients requiring specialized care, optimize resource allocation, and ensure timely access to critical supportive services. This structured approach has the potential to enhance care delivery for cancer patients, particularly patients in advanced or terminal stages.
Study Type
OBSERVATIONAL
Enrollment
4,423
Sohag Oncology Center
Sohag, Egypt
Agreement Between Patient-Identified Supportive Care Need and Physician-Assessed Supportive Care Need Measured by Cohen's Kappa Coefficient
Patient-identified supportive care need will be assessed using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 and a study navigation score. The navigation score ranges from 0 to 4, with 1 point for each identified supportive clinic domain: pain management, physiotherapy, nutrition, and psychotherapy. Higher scores indicate greater supportive care need. Scores \>2 indicate need for specialized supportive clinic referral; scores ≤2 indicate no referral need. Agreement between patient-identified and physician-assessed need classifications will be measured using Cohen's kappa coefficient, which ranges from -1 to +1. Higher kappa values indicate better agreement, with +1 indicating perfect agreement. Unit of Measure: Cohen's kappa coefficient
Time frame: Initial needs assessment and physician assessment, within approximately 1-2 weeks of enrollment
Accuracy of Patient-Identified Supportive Care Need Compared With Physician-Assessed Supportive Care Need
Accuracy will be calculated as the percentage of participants for whom the patient-identified supportive care need classification matches the physician-assessed supportive care need classification. The four supportive clinic domains will be aggregated into one supportive-care navigation score, then dichotomized as greater than 2 versus 2 or lower before calculating accuracy. Accuracy will be calculated as: Accuracy = \[(Number of matching classifications) / (Total number of assessed participants)\] × 100 Possible values range from 0% to 100%, with higher percentages indicating greater alignment between patient-identified needs and physician-assessed needs. Unit of Measure: Percentage of participants
Time frame: At the initial needs assessment and physician assessment, within approximately 1-2 weeks of enrollment
Proportion of patients referred to supportive clinics
The proportion of participants referred to supportive clinics will be calculated as the number of participants referred to at least one supportive clinic divided by the total number of assessed participants, multiplied by 100. Supportive clinics include pain management, physiotherapy, nutrition, and psychotherapy. Referral will be based on the supportive-care navigation assessment and physician-directed follow-up plan. Higher percentages indicate that a greater proportion of assessed participants required referral to supportive care services. Unit of Measure: Percentage of participants
Time frame: January 1, 2025 - September 30, 2025
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.