By
Janet L. Abrahm, M.D
Janet L. Abrahm argues that all causes of suffering experienced by people with cancer? be they physical, psychological, social or spiritual? should be treated at all stages: at diagnosis, during curative therapy, in the event that cancer recurs, and during the final months. In this symptom-oriented guide, she provides family physicians, internists, oncologists, and nurses with detailed information and advice for alleviating the stress and pain of patients and family members.
A Physician's Guide to Pain and Symptom Management In Cancer Patients includes the latest information on patient and family communication and counseling; on medical, surgical, complementary, and alternative treatments for symptoms caused by cancer and cancer treatments; and on caring for patients in their last days. Case histories, current medication tables, practice points, and bibliographies provide clinicians with the information they need to treat their cancer patients effectively and compassionately.
Janet L. Abrahm, M.D., is an associate professor of medicine at Harvard Medical School and director of the Pain and Palliative Care Programs at the Dana-Farber Cancer Institute.
“Important for all dimensions of patient care? not just cancer. Every doctor in clinical practice needs this book. Every patient will benefit from it.” - Christine K. Cassel, M.D., Mount Sinai School of Medicine
“Every health-care professional needs this book. A practical and concise guide, it is an excellent resource that should be used to prevent and treat suffering as health-care professionals accompany the patient and family through the experience of living with cancer.” - Oncology Nursing Forum
“For clinical sophistication, insight into the complexities of doctor-patient communication, and detailed guidance on the treatment of a wide range of distressing symptoms, clinicians will turn again and again to this practical and concise guide as they accompany patient and family through the late stages of illness.” - Diane Meier, M.D., Mount Sinai School of Medicine