Objective: To evaluate the use of the Mood and Symptom Questionnaire (MSQ) within a program of structured psychosocial interventions in a Supportive and Palliative Care Center. Palliative care patients have a range of psychological symptoms as well as physical symptoms. Considerable expertise in controlling pain and fear of pain, other physical symptoms, and psychosocial distress has been built up in hospices and palliative care units. This expertise can be used even at late stages in the patient's illness to improve quality of life.
Method: We evaluated the usefulness of the MSQ to record patient responses, as an aid to patient/staff discussions, and as a staff-training tool. The questionnaire consisted of visual analog scales completed by the patient with a staff member present. Using the tool increased the opportunities for staff and patients to discuss problematic psychosocial issues. Where possible, we obtained data at two time points and compared the responses.
Results: The MSQ was rapidly accepted as a clinical tool in the day therapy setting by staff and the patients. The process of completing the questionnaire encouraged patients to face and discuss difficult issues. Discussion of the issues raised on the questionnaire had a wider effect, influencing interactions and communications through the unit and facilitating wider discussion of other nonpain symptoms. The medical psychotherapist associated with the unit used the MSQ responses as a training tool to increase staff awareness and knowledge and understanding of psychological issues related to the patients' total pain experience by discussing the questionnaires with them.
Significance Of Results: The use of this tool helped to identify some psychological issues that proved relatively straightforward to address once uncovered. Patients benefited from this opportunity when their remaining time was relatively short. Their quality of life at the end of their lives was improved.
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http://dx.doi.org/10.1017/S1478951508000084 | DOI Listing |
Palliat Support Care
January 2025
Faculdade de Medicina da Universidade de Coimbra, Universidade de Coimbra, Coimbra, Portugal.
One of the most crucial stages of palliative care is the last days and hours of life, which require special attention and knowledgeable identification of clinical signs described as signs of impending death (SID). Our case series of 11 patients receiving home palliative care describes bilateral hypoactive, stereotyped upper arm movements (scratching of the head, forehead, and nose) that were previously unknown or described, often accompanied by SID.
View Article and Find Full Text PDFRev Med Suisse
January 2025
Service de médecine palliative, Hôpitaux universitaires de Genève, 1211 Genève 14.
Patients with serious illnesses wish to maintain their autonomy and decide the course of their end of life. The role of healthcare professionals is to assess the patient's understanding of their illness, help them become aware of the progression of their condition, and adapt these conversations according to the patient's emotional state, while providing regular spaces for discussion. Some patients continue to have expectations that may seem unrealistic despite a limited prognosis.
View Article and Find Full Text PDFSurg Pract Sci
September 2022
SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Outram Road 169608 Singapore.
Introduction: The need for longitudinal and comprehensive evidenced development of surgical knowledge, skills and attitudes, and the attainment of appropriate competencies have spotlighted portfolio use. Yet variations in structure, content and roles as well as its resource-heavy reputation have limited its impact. The purpose of this study is to map prevailing data on the use of portfolios in postgraduate surgical education to address a lack of e-portfolio use and guide its design and structuring in surgery.
View Article and Find Full Text PDFCureus
December 2024
Mathematics, Keio University, Yokohama, JPN.
Context: Accurate prognosis prediction for cancer patients in palliative care is critical for clinical decision-making and personalized care. Traditional statistical models have been complemented by machine learning approaches; however, their comparative effectiveness remains underexplored.
Objectives: To assess the prognostic accuracy of statistical and machine learning models in predicting 30-day survival in patients with advanced cancer using objective data, such as the result of the blood test.
Cureus
December 2024
Surgical Oncology, Mahamana Pandit Madan Mohan Malaviya Cancer Centre, Homi Bhabha Cancer Hospital, Tata Memorial Centre, Varanasi, IND.
Thrombocytopenia is a common complication in patients with solid tumors, particularly renal cell carcinoma (RCC), arising from mechanisms such as chemotherapy, direct tumor invasion, and paraneoplastic syndromes. Managing thrombocytopenia in advanced cancer presents significant challenges, often limiting therapeutic options and impacting patient outcomes. This case report describes a 62-year-old man with metastatic RCC complicated by persistent thrombocytopenia, unresponsive to both conventional treatments and novel therapies.
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