Generates all of the scores of the Functional Assessment of Cancer Therapy - Lung Cancer (FACT-L, v4) from item responses.
A data frame with the questionnaire items, appropriately-named.
(optional) The quoted name of a variable in
(optional) Logical, if omitted or set to
(optional) Logical, if
(optional) Logical, if
Given a data frame that includes all of the FACT-L (Version 4) items as variables, appropriately named, this function generates all of the FACT-L scale scores. It is crucial that the item variables in the supplied data frame are named according to FACT conventions. For example, the first physical well-being item should be named GP1, the second GP2, and so on. Please refer to the materials provided by http://www.facit.org for the particular questionnaire you are using. In particular, refer to the left margin of the official questionnaire (i.e., from facit.org) for the appropriate item variable names.
This questionnaire consists of two components: (1) FACT-G items and (2)
"Additional Concerns" items. The FACT-G items (G for General) measure
general aspects of QoL common to all cancer patients. The "Additional
Concerns" items measure issues relevant for a specific cancer type,
treatment, or symptom. These two questionnaire components are typically
administered together. In some studies, however, ONLY the "Additional
Concerns" items are administered. The
AConly argument is provided to
accommodate such cases, and should be set to
AConly = TRUE if ONLY
the "Additional Concerns" items were administered.
For more details on the
see the documentation entry for
A data frame with the following scale scores is returned:
PWB - Physical Well-Being subscale
SWB - Social/Family Well-Being subscale
EWB - Emotional Well-Being subscale
FWB - Physical Well-Being subscale
FACTG - FACT-G Total Score (PWB+SWB+EWB+FWB)
LCS - Lung Cancer subscale
FACT_L_TOTAL - FACT-L Total Score (PWB+SWB+EWB+FWB+LCS)
FACT_L_TOI - FACT-L Trial Outcome Index (PWB+FWB+LCS)
AConly = TRUE, the only scale score returned is LCS.
If a variable was given to the
id argument, then that variable will
also be in the returned data frame. Additional, relatively unimportant,
variables will be returned if
updateItems = TRUE or
Keep in mind that this function (and R in general) is case-sensitive.
All items in
df should be
numeric (i.e., of type
This function expects missing item responses to be coded as
9, and valid item responses to be coded as
4. Any other value for any of the
items will result in an error message and no scores.
FACT-L Scoring Guidelines, available at http://www.facit.org
Cella, D.F., Bonomi, A.E., Lloyd S.R., Tulsky, D.S., Kaplan, E., & Bonomi, P. (1995). Reliability and validity of the Functional Assessment of Cancer Therapy - Lung (FACT-L) quality of life instrument. Lung Cancer, 12, 199-220.
Cella, D., Eton, D., Fairclough, D.L., Bonomi, P., Heyes, A., Silberman, C., Wolf, M.K., & Johnson, D.H. (2002). What is a clinically meaningful change on the Functional Assessment of Cancer Therapy-Lung (FACT-L) questionnaire? Results from Eastern Cooperative Oncology Group (ECOG) Study 5592. Journal of Clinical Epidemiology, 55, 285-295.
Cella, D.F., Bonomi, A.E., Lloyd S., Tulsky, D., Bonomi, P., & Kaplan, E. (1994). Reliability and validity of the Functional Assessment of Cancer Therapy-Lung (FACT-L) quality of life instrument. Lung Cancer, 11(Suppl 1), 89 (Abstract #336).
Cella, D.F. (1995). The Functional Assessment of Cancer Therapy-Lung (FACT-L) quality of life instrument. In R.J. Gralla & C.M. Moinpour (Eds): Assessing Quality of Life in Patients with Lung Cancer: A Guide for Clinicians. New York: NCM Publishers, Inc.
Butt, Z., Webster, K., Eisenstein, A.R., Beaumont, J., Eton, D., Masters, G.A., & Cella, D. (2005). Quality of life in lung cancer: The validity and cross-cultural applicability of the Functional Assessment of Cancer Therapy-Lung scale. Hematol Oncol Clin N Am, 19, 389-420.
This function is very similar to the
function. See the documentation for
scoreFACT_B for more
details on the arguments and for examples. Also see the documentation
entry for the
FACTscorer package. For brevity, examples are
omitted below, but can be accessed by running
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