Scores the FACT and FACIT family of QoL patient-reported outcome measures
Provides functions to score the Functional Assessment of Cancer Therapy (FACT) and Functional Assessment of Chronic Illness Therapy (FACIT) patient-reported outcome (PRO) measures. The questionnaires themselves can be downloaded from www.FACIT.org. For most of the FACIT questionnaires, FACIT.org provides scoring syntax for use with commercial statistical software (SAS and SPSS). The FACTscorer R package is intented to serve as a free, reliable alternative for those without access to SAS or SPSS. Additionally, it will allow R users to both score and analyze the FACT and FACIT scales in R, avoiding the time-consuming and and error-prone process of transferring the data back-and-forth between statistical softwares. Finally, use of the FACTscorer package will prevent many sources of scoring error common when using SAS and/or SPSS syntax (e.g., copy-paste errors and other accidental modifications to the syntax).
The FACT and FACIT questionnaires are grouped into a number of categories
according to their intended use. To help you find the function you need to
score your questionnaire, all
FACTscorer functions are listed below,
organized by questionnaire type.
General, Disease-Specific, Treatment-Specific, Symptom-Specific,
RAY: Look up source of packages with documentation of this sort. Maybe sjPlot, rapporter, etc. Figure out best format to list the functions and descriptions here.
This function handles missing/invalid item answers according to official FACT/FACIT scoring guidelines.
For a given subscale score to be calculated, a respondent must
have valid, non-missing answers to greater than 50% of the
subscale items. If only 50% or fewer of the subscale items are answered,
the respondent will be assigned a missing value (
NA) for that
For a given Total Score to be calculated, two conditions must be met:
The respondent must have valid, non-missing subscale scores for all of the subscales that are summed together to calculate the Total Score.
The respondent must have valid, non-missing answers to greater than 80% of the items that contribute to the given Total Score.
Both of these conditions must be met - otherwise, the respondent
will be assigned a missing value (
NA) for that Total Score.
Did this work with more than one word before the colon? See below for example of a subsection
Apart from the following special cases...
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