Karen O Anderson1, Guadalupe R Palos2, Tito R Mendoza1, Charles S Cleeland1, Kai-Ping Liao3, Michael J Fisch4, Araceli Garcia-Gonzalez1, Alyssa G Rieber4, L Arlene Nazario4, Vicente Valero5, Karin M Hahn6, Cheryl L Person7, Richard Payne8. 1. Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, Texas. 2. Office of Cancer Survivorship, The University of Texas MD Anderson Cancer Center, Houston, Texas. 3. Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas. 4. Department of General Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. 5. Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. 6. London Regional Cancer Program, London Health Sciences Center, London, Ontario, Canada. 7. Department of Psychiatry and Behavioral Sciences, The University of Texas Health Sciences Center, Houston, Texas. 8. Duke Institute on Care at the End of Life, Duke University Divinity School, Durham, North Carolina.
Abstract
BACKGROUND:Minority patients with breast cancer are at risk for undertreatment of cancer-related pain. The authors evaluated the feasibility and efficacy of an automated pain intervention for improving pain and symptom management of underserved African American and Latina women with breast cancer. METHODS:Sixty low-income African American and Latina women with breast cancer and cancer-related pain were enrolled in a pilot study of an automated, telephone-based, interactive voice response (IVR) intervention. Women in the intervention group were called twice weekly by the IVR system and asked to rate the intensity of their pain and other symptoms. The patients' oncologists received e-mail alerts if the reported symptoms were moderate to severe. The patients also reported barriers to pain management and received education regarding any reported obstacles. RESULTS: The proportion of women in both groups reporting moderate to severe pain decreased during the study, but the decrease was significantly greater for the intervention group. The IVR intervention also was associated with improvements in other cancer-related symptoms, including sleep disturbance and drowsiness. Although patient adherence to the IVR call schedule was good, the oncologists who were treating the patients rated the intervention as only somewhat useful for improving symptom management. CONCLUSIONS: The IVR intervention reduced pain and symptom severity for underserved minority women with breast cancer. Additional research on technological approaches to symptom management is needed.
RCT Entities:
BACKGROUND: Minority patients with breast cancer are at risk for undertreatment of cancer-related pain. The authors evaluated the feasibility and efficacy of an automated pain intervention for improving pain and symptom management of underserved African American and Latina women with breast cancer. METHODS: Sixty low-income African American and Latina women with breast cancer and cancer-related pain were enrolled in a pilot study of an automated, telephone-based, interactive voice response (IVR) intervention. Women in the intervention group were called twice weekly by the IVR system and asked to rate the intensity of their pain and other symptoms. The patients' oncologists received e-mail alerts if the reported symptoms were moderate to severe. The patients also reported barriers to pain management and received education regarding any reported obstacles. RESULTS: The proportion of women in both groups reporting moderate to severe pain decreased during the study, but the decrease was significantly greater for the intervention group. The IVR intervention also was associated with improvements in other cancer-related symptoms, including sleep disturbance and drowsiness. Although patient adherence to the IVR call schedule was good, the oncologists who were treating the patients rated the intervention as only somewhat useful for improving symptom management. CONCLUSIONS: The IVR intervention reduced pain and symptom severity for underserved minority women with breast cancer. Additional research on technological approaches to symptom management is needed.
Authors: Charles S Cleeland; Xin Shelley Wang; Qiuling Shi; Tito R Mendoza; Sherry L Wright; Madonna D Berry; Donna Malveaux; Pankil K Shah; Ibrahima Gning; Wayne L Hofstetter; Joe B Putnam; Ara A Vaporciyan Journal: J Clin Oncol Date: 2011-01-31 Impact factor: 44.544
Authors: Xin Shelley Wang; Charles S Cleeland; Tito R Mendoza; Young Ho Yun; Ying Wang; Toru Okuyama; Valen E Johnson Journal: J Natl Cancer Inst Date: 2010-03-26 Impact factor: 13.506
Authors: Michael J Fisch; Ju-Whei Lee; Matthias Weiss; Lynne I Wagner; Victor T Chang; David Cella; Judith B Manola; Lori M Minasian; Worta McCaskill-Stevens; Tito R Mendoza; Charles S Cleeland Journal: J Clin Oncol Date: 2012-04-16 Impact factor: 44.544
Authors: Carmit McMullen; Matthew Nielsen; Alison Firemark; Patricia Merino Price; Denise Nakatani; Jean Tuthill; Ruth McMyn; Anobel Odisho; Michael Meyers; David Shibata; Scott Gilbert Journal: Support Care Cancer Date: 2018-06-06 Impact factor: 3.603
Authors: Chris Gibbons; Ian Porter; Daniela C Gonçalves-Bradley; Stanimir Stoilov; Ignacio Ricci-Cabello; Elena Tsangaris; Jaheeda Gangannagaripalli; Antoinette Davey; Elizabeth J Gibbons; Anna Kotzeva; Jonathan Evans; Philip J van der Wees; Evangelos Kontopantelis; Joanne Greenhalgh; Peter Bower; Jordi Alonso; Jose M Valderas Journal: Cochrane Database Syst Rev Date: 2021-10-12
Authors: Rosalind Adam; Marijn de Bruin; Christopher David Burton; Christine M Bond; Maria Giatsi Clausen; Peter Murchie Journal: BMJ Support Palliat Care Date: 2017-05-29 Impact factor: 3.568
Authors: Colby J Hyland; Ruby Guo; Ravi Dhawan; Manraj N Kaur; Paul A Bain; Maria O Edelen; Andrea L Pusic Journal: J Patient Rep Outcomes Date: 2022-03-07
Authors: M Aapro; P Bossi; A Dasari; L Fallowfield; P Gascón; M Geller; K Jordan; J Kim; K Martin; S Porzig Journal: Support Care Cancer Date: 2020-06-12 Impact factor: 3.603