BACKGROUND: Rapid and efficient symptom assessment is an important aspect of palliative care. The objective was to determine whether a smaller number of symptoms from the 32-item Memorial Symptom Assessment Scale Short-Form (MSAS-SF) could convey equivalent quality of life (QOL) information. METHODS: Responses from 479 medical oncology patients who completed the MSAS-SF and the Functional Assessment Cancer Therapy (FACT-G) were analyzed. Canonical correlations were performed to assess the relationships of 32 MSAS-SF symptoms to quality of life (FACT-G domains) and clinical variables [age, Karnofsky performance status (KPS), stage of disease, and inpatient status]. The relation of the subscales of the Condensed MSAS (CMSAS) and FACT-G to survival was assessed in a multivariate model. RESULTS: The median age was 67 years (range, 20-89) and median KPS was 80% (range, 20-100). Primary sites were prostate in 141 (29%) patients, lung in 121 (26%) patients, colorectal in 53 (11%) patients, hematologic in 50 (10%) patients, head and neck in 30 (6%) patients and other in 84 (18%) patients. Median survival was 245 days (range, 1-2,215 days). Canonical correlation analyses identified a five-dimensional QOL factor structure. Symptoms important for QOL also correlated significantly with survival and provided the basis for the CMSAS with 14 symptoms and 3 subscales (CMSAS SUM, CMSAS PHYS, and CMSAS PSYCH). In multivariate analyses, the CMSAS PSYCH predicted survival independently of stage, performance status, and QOL. The CMSAS takes 2-4 minutes to complete. CONCLUSION: The CMSAS contains both QOL and survival information approximately equivalent to the original 32 items.
BACKGROUND: Rapid and efficient symptom assessment is an important aspect of palliative care. The objective was to determine whether a smaller number of symptoms from the 32-item Memorial Symptom Assessment Scale Short-Form (MSAS-SF) could convey equivalent quality of life (QOL) information. METHODS: Responses from 479 medical oncology patients who completed the MSAS-SF and the Functional Assessment Cancer Therapy (FACT-G) were analyzed. Canonical correlations were performed to assess the relationships of 32 MSAS-SF symptoms to quality of life (FACT-G domains) and clinical variables [age, Karnofsky performance status (KPS), stage of disease, and inpatient status]. The relation of the subscales of the Condensed MSAS (CMSAS) and FACT-G to survival was assessed in a multivariate model. RESULTS: The median age was 67 years (range, 20-89) and median KPS was 80% (range, 20-100). Primary sites were prostate in 141 (29%) patients, lung in 121 (26%) patients, colorectal in 53 (11%) patients, hematologic in 50 (10%) patients, head and neck in 30 (6%) patients and other in 84 (18%) patients. Median survival was 245 days (range, 1-2,215 days). Canonical correlation analyses identified a five-dimensional QOL factor structure. Symptoms important for QOL also correlated significantly with survival and provided the basis for the CMSAS with 14 symptoms and 3 subscales (CMSAS SUM, CMSAS PHYS, and CMSAS PSYCH). In multivariate analyses, the CMSAS PSYCH predicted survival independently of stage, performance status, and QOL. The CMSAS takes 2-4 minutes to complete. CONCLUSION: The CMSAS contains both QOL and survival information approximately equivalent to the original 32 items.
Authors: Frances Marcus Lewis; Elizabeth Trice Loggers; Farya Phillips; Rebecca Palacios; Kenneth P Tercyak; Kristin A Griffith; Mary Ellen Shands; Ellen H Zahlis; Zainab Alzawad; Hebah Ahmed Almulla Journal: J Palliat Med Date: 2019-10-30 Impact factor: 2.947
Authors: Jean S Kutner; Marlaine C Smith; Lisa Corbin; Linnea Hemphill; Kathryn Benton; B Karen Mellis; Brenda Beaty; Sue Felton; Traci E Yamashita; Lucinda L Bryant; Diane L Fairclough Journal: Ann Intern Med Date: 2008-09-16 Impact factor: 25.391
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Authors: Lissi Hansen; Karen S Lyons; Nathan F Dieckmann; Michael F Chang; Shirin Hiatt; Emma Solanki; Christopher S Lee Journal: Res Nurs Health Date: 2017-06-30 Impact factor: 2.228
Authors: Katherine A Ornstein; Joan Penrod; Julie B Schnur; Cardinale B Smith; Jeanne A Teresi; Melissa M Garrido; Karen McKendrick; Albert L Siu; Diane E Meier; R Sean Morrison Journal: J Palliat Med Date: 2017-02-10 Impact factor: 2.947
Authors: Melissa M Garrido; Amy S Kelley; Julia Paris; Katherine Roza; Diane E Meier; R Sean Morrison; Melissa D Aldridge Journal: Health Serv Res Date: 2014-04-30 Impact factor: 3.402
Authors: Lee A Lindquist; Kenneth Covinsky; Kenneth M Langa; Brent G Petty; Brent C Williams; Jean S Kutner Journal: J Gen Intern Med Date: 2014-06 Impact factor: 5.128