BACKGROUND: We describe the development and validation of the Vanderbilt Head and Neck Symptom Survey (VHNSS), which was designed to screen for tumor- and treatment-specific symptoms in patients with head and neck cancer undergoing concurrent chemoradiation (CCR). METHODS: Using a 2-step card sort method, we identified high-impact and high-frequency toxicities in patients with head and neck cancer treated with CCR. This resulted in a 28-item questionnaire which scores symptoms on a 0 to 10 scale (none to severe). The tool was validated using data collected from 5 supportive care studies comprising a total sample of 332 patients with head and neck cancer. RESULTS: Responses to the VHNSS items demonstrated a very consistent pattern (Cronbach's alpha = 0.943) with each item contributing substantially to the global index. Five symptom subscales were identified including "Nutrition," "Pain," "Voice," "Swallow," and "Mucous/Dry Mouth." Each of the cluster scores demonstrated good internal consistency. The pattern of associations between the VHNSS and established tools indicated appropriate convergence and divergence. Comparison of global and subscale scores and objective measure were also in the expected direction providing further evidence of validity. CONCLUSIONS: The findings provide support that the VHNSS is a valid and reliable tool to assess head and neck-specific symptom burden and function loss. Further research to evaluate this screening tool as a part of a systems approach to supportive care is warranted.
BACKGROUND: We describe the development and validation of the Vanderbilt Head and Neck Symptom Survey (VHNSS), which was designed to screen for tumor- and treatment-specific symptoms in patients with head and neck cancer undergoing concurrent chemoradiation (CCR). METHODS: Using a 2-step card sort method, we identified high-impact and high-frequency toxicities in patients with head and neck cancer treated with CCR. This resulted in a 28-item questionnaire which scores symptoms on a 0 to 10 scale (none to severe). The tool was validated using data collected from 5 supportive care studies comprising a total sample of 332 patients with head and neck cancer. RESULTS: Responses to the VHNSS items demonstrated a very consistent pattern (Cronbach's alpha = 0.943) with each item contributing substantially to the global index. Five symptom subscales were identified including "Nutrition," "Pain," "Voice," "Swallow," and "Mucous/Dry Mouth." Each of the cluster scores demonstrated good internal consistency. The pattern of associations between the VHNSS and established tools indicated appropriate convergence and divergence. Comparison of global and subscale scores and objective measure were also in the expected direction providing further evidence of validity. CONCLUSIONS: The findings provide support that the VHNSS is a valid and reliable tool to assess head and neck-specific symptom burden and function loss. Further research to evaluate this screening tool as a part of a systems approach to supportive care is warranted.
Authors: Jie Deng; Barbara A Murphy; Mary S Dietrich; Robert J Sinard; Kyle Mannion; Sheila H Ridner Journal: Support Care Cancer Date: 2015-08-29 Impact factor: 3.603
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Authors: G Brandon Gunn; Tito R Mendoza; Clifton D Fuller; Ibrahima Gning; Steven J Frank; Beth M Beadle; Ehab Y Hanna; Charles Lu; Charles S Cleeland; David I Rosenthal Journal: Head Neck Date: 2012-11-20 Impact factor: 3.147
Authors: Sanli Jin; Qian Lu; Dong Pang; Yan Sun; Shaowen Xiao; Baomin Zheng; Hangjing Cui Journal: Support Care Cancer Date: 2019-04-04 Impact factor: 3.603
Authors: Matthew J Ferris; Jim Zhong; Jeffrey M Switchenko; Kristin A Higgins; Richard J Cassidy; Mark W McDonald; Bree R Eaton; Kirtesh R Patel; Conor E Steuer; H Michael Baddour; Andrew H Miller; Deborah W Bruner; Canhua Xiao; Jonathan J Beitler Journal: Radiother Oncol Date: 2017-08-18 Impact factor: 6.280
Authors: Heidi Ganzer; Riva Touger-Decker; James S Parrott; Barbara A Murphy; Joel B Epstein; Maureen B Huhmann Journal: Support Care Cancer Date: 2012-07-24 Impact factor: 3.603