Skip to contents

This contains planned visits. Not all appointments were kept. Indicator variables show reasons for a missed appointment (if known). This data is not simple. There are more than 1300+ dates duplicated with different visit types. There are week 24 visits that happen at the wrong time (e.g., the date of week 24 is the same as week 8). There are also many cases where two adjacent visits happen on the same day (e.g., both week 7 and week 8 have their visits on the same day). There are both visit and no visit reports on the same day for some people. There are nearly 850 “Cross Active Study” visits and all but 43 happen on the same date as another visit. Many variables have a "1" indicating "Yes". Other are NA because we don't know if those values are real "No" or actually "Unknown". Proceed with great caution.

Visit Typectn_0027ctn_0030ctn_0051
"BASELINE"yesyesno
"WK__"yesnoyes
"Cross Active Study"noyesno
"Cross Active Study"noyesno
"P1____"noyesno
"P2____"noyesno
"EOT"nonoyes
"M1F"nonoyes
"M3F"nonoyes

Usage

data(visit)

Format

A tibble with 53,899 rows and 19 variables:

who
Type:integer
Description:Patient ID
visit
Type:factor (First/Reference level = BASELINE)
Description:Indicator of the visit type. For example, "WK12" is week 12 of ctn_0027 or "P2Wk13" is week 13 of phase 2 of ctn_0030. See the table above.
Levels:BASELINE, Cross Active Study, EOT, M1F, M3F, P1Finl, P1Unsc, P1Wk10, P1Wk12, P1Wk1A, P1Wk1B, P1Wk2, P1Wk3, P1Wk4, P1Wk6, P1Wk8, P2Finl, P2Unsc, P2Wk10, P2Wk11, P2Wk12, P2Wk13, P2Wk14, P2Wk15, P2Wk16, P2Wk18, P2Wk1A, P2Wk1B, P2Wk2, P2Wk20, P2Wk22, P2Wk24, P2Wk3, P2Wk4, P2Wk5, P2Wk6, P2Wk7, P2Wk8, P2Wk9, WK0, WK1, WK10, WK11, WK12, WK13, WK14, WK15, WK16, WK17, WK18, WK19, WK2, WK20, WK21, WK22, WK23, WK24, WK28, WK3, WK32, WK4, WK5, WK6, WK7, WK8, WK9
what
Type:factor (First/Reference level = )
Description:Disposition of appointment - visit, no visit or MISSING. Note there are records with no disposition
Levels:, final, MISSING, no visit, visit
is_no_note
Type:factor (First/Reference level = 1)
Description:UNKNOWN
Levels:1
is_dead
Type:factor (First/Reference level = 1)
Description:Patient died
Levels:1
is_no_show
Type:factor (First/Reference level = 1)
Description:Patient did not show with no explanation
Levels:1
is_no_funding
Type:factor (First/Reference level = 1)
Description:Patient could not afford to get to appointment
Levels:1
is_left_study
Type:factor (First/Reference level = 1)
Description:Patient withdrew from the study
Levels:1
is_in_jail
Type:factor (First/Reference level = 1)
Description:Patient is incarcerated
Levels:1
is_forgot
Type:factor (First/Reference level = 1)
Description:Patient forgot appointment
Levels:1
is_in_hospital
Type:factor (First/Reference level = 1)
Description:Patient hospitalized during appointment
Levels:1
is_illness
Type:factor (First/Reference level = 1)
Description:Patient reported being to sick to attend
Levels:1
is_moved
Type:factor (First/Reference level = 1)
Description:Patient moved from the study area
Levels:1
is_missing_14_consecutive
Type:factor (First/Reference level = 1)
Description:Patient dropped for non-compliance
Levels:1
is_window
Type:factor (First/Reference level = 1)
Description:UNKNOWN
Levels:1
is_unable
Type:factor (First/Reference level = 1)
Description:Patient reports being unable to attend
Levels:1
is_on_vacation
Type:factor (First/Reference level = 1)
Description:Patient reports being on vacation
Levels:1
is_other
Type:factor (First/Reference level = 1)
Description:Other reason given
Levels:1
when
Type:integer
Description:Study day