Christina Baggott1, Jennifer Baird2, Pamela Hinds3, Cornelia M Ruland4, Christine Miaskowski5. 1. School of Nursing, University of California, 2 Koret Way, Box 0610, San Francisco, CA 94143, USA. Electronic address: baggott@stanford.edu. 2. School of Nursing, University of California, 2 Koret Way, Box 0610, San Francisco, CA 94143, USA. Electronic address: Jennifer.Baird@childrens.harvard.edu. 3. Children's National Health System, 111 Michigan Ave., N.W., Washington, D.C., USA; The George Washington University, USA. Electronic address: PSHinds@childrensnational.org. 4. Center for Shared Decision Making and Collaborative Care Research, Oslo University Hospital, Forskningsvn. 2b, N-0027 Oslo, Norway. Electronic address: Cornelia.Ruland@rr-research.no. 5. School of Nursing, University of California, 2 Koret Way, Box 0610, San Francisco, CA 94143, USA. Electronic address: chris.miaskowski@nursing.ucsf.edu.
Abstract
PURPOSE: In pediatric oncology, clear communication regarding symptom occurrence between clinicians and children is essential in order to provide safe and effective care. Mobile technology provides a means to enhance the standard clinician-patient interview, particularly among children, who are well versed in the use of technology. To help children identify and voice their concerns in the health care setting, researchers created Sisom, an animated computer tool for children and young people with serious and chronic illnesses. The purposes of this study of 100 dyads of patients 7-12 years of age and their parents were to: compare participants' reports of symptom occurrence using Sisom to a standard symptom checklist and determine the time requirements, ease of use, and perceived usefulness of the Sisom tool by children with cancer and their parents. METHODS: Child and parent participants completed both Sisom and the Memorial Symptom Assessment Scale. Symptoms on the two tools were compared and 20 items were similar to allow for comparisons. RESULTS: Children reported a significantly higher number of these 20 symptoms using Sisom as compared to the MSAS (i.e., 6.8 versus 4.9 symptoms, p < 0.001). A similar pattern was noted for parental proxy reports (i.e., 8.7 versus 5.7 symptoms, p < 0.001). Sisom was completed in less than 30 min, with high ratings of ease of use and perceived usefulness from parent participants. CONCLUSIONS: Sisom provides a systematic and engaging method to elicit symptom reports from children for use in clinical care and research.
PURPOSE: In pediatric oncology, clear communication regarding symptom occurrence between clinicians and children is essential in order to provide safe and effective care. Mobile technology provides a means to enhance the standard clinician-patient interview, particularly among children, who are well versed in the use of technology. To help children identify and voice their concerns in the health care setting, researchers created Sisom, an animated computer tool for children and young people with serious and chronic illnesses. The purposes of this study of 100 dyads of patients 7-12 years of age and their parents were to: compare participants' reports of symptom occurrence using Sisom to a standard symptom checklist and determine the time requirements, ease of use, and perceived usefulness of the Sisom tool by children with cancer and their parents. METHODS:Child and parent participants completed both Sisom and the Memorial Symptom Assessment Scale. Symptoms on the two tools were compared and 20 items were similar to allow for comparisons. RESULTS:Children reported a significantly higher number of these 20 symptoms using Sisom as compared to the MSAS (i.e., 6.8 versus 4.9 symptoms, p < 0.001). A similar pattern was noted for parental proxy reports (i.e., 8.7 versus 5.7 symptoms, p < 0.001). Sisom was completed in less than 30 min, with high ratings of ease of use and perceived usefulness from parent participants. CONCLUSIONS: Sisom provides a systematic and engaging method to elicit symptom reports from children for use in clinical care and research.
Authors: Deborah Tomlinson; Erin Plenert; Grace Dadzie; Robyn Loves; Sadie Cook; Tal Schechter; Jennifer Furtado; L Lee Dupuis; Lillian Sung Journal: Cancer Med Date: 2020-06-21 Impact factor: 4.452
Authors: Ingrid Larsson; Petra Svedberg; Susann Arvidsson; Jens M Nygren; Ing-Marie Carlsson Journal: BMC Health Serv Res Date: 2019-11-05 Impact factor: 2.655
Authors: Petra Svedberg; Susann Arvidsson; Ingrid Larsson; Ing-Marie Carlsson; Jens M Nygren Journal: J Med Internet Res Date: 2019-11-15 Impact factor: 5.428