Univariate descriptive analysis - Complete cases
Abdelaziz Ibn abdelouahab
2025-07-15
Dataset description (complete-case)
The complete-case study dataset includes 5799 observations, and 27 variables.
Summary of variables:
| Variable | Label | Type | Levels |
|---|---|---|---|
| id | Patient ID | character | - |
| surage | Age | numeric | - |
| sex | Sex | factor | Male, Female |
| surtype | Surgical procedure (vincat classification) | factor | THA, Rectal resection, TKA, Colon resection, CABG - DI, CABG - SI, Valve replacement, CABG + valve |
| urg | Degree of urgency | factor | Elective, Urgent, Semi-elective |
| preoplos | Preoperative length of stay (days) | numeric | - |
| asa | ASA classification | factor | I, II, III, IV, V |
| atbprof | Antibiotic prophylaxis | factor | Adequate, Inadequate |
| wound | Wound class | factor | Clean, Clean-contaminated, Contaminated, Infected |
| misurg | Minimally invasive surgery | factor | No, Yes |
| duration | Surgery duration (minutes) | numeric | - |
| ssi | Surgical Site Infection | factor | No, Yes |
| surtype_2 | Surgical procedure (study classification) | factor | THA, TKA, Valve replacement, CABG + valve, Colon or rectal resection, CABG |
| follow | Follow-up time (days) | numeric | - |
| MS | Migration Status | factor | No, Yes |
| CoB | Country of birth | character | - |
| CoB_WR | Country of birth - World Region | factor | East Asia & Pacific, Europe & Central Asia, Latin America & Caribbean, Middle East & North Africa, North America, South Asia, Sub-Saharan Africa |
| CoB_hdi | Country of birth - Human Development Index | numeric | - |
| CoB_hdicat | Country of birth - Human Development Index category | factor | High, Low, Medium, Very High |
| CoC | Country of citizenship | character | - |
| CoC_WR | Country of citizenship - World Region | factor | East Asia & Pacific, Europe & Central Asia, Latin America & Caribbean, Middle East & North Africa, North America, South Asia, Sub-Saharan Africa |
| CoC_hdi | Country of citizenship - Human Development Index | numeric | - |
| CoC_hdicat | Country of citizenship - Human Development Index category | factor | High, Low, Medium, Very High |
| doc | RCA document | factor | DNI, NIE, Passeport |
| income | Yearly income category | factor | < 18.000 euros, 18.000 - 100.000 euros, > 100.000 euros |
| suryear | Year of surgery | factor | 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024 |
| insurance | Health insurance at the time of surgery | factor | No, Yes |
The number patients included (uniques IDs) is 5566. Each observation in the dataset corresponds to a surgical procedure. Some patients were included more than once. For instance, 214 patients were included twice, 8 patients were included three times and 1 patient was included 4 times.
Univariate analysis - countinuous variables
Age
Overall
The distribution of age is close to a normal distribution, although slightly left skewed. Only 25% of patients were younger than 59 years old at the time of surgery.
## Descriptive Statistics
## data_tfm_CC$surage
## Label: Age
## N: 5799
##
## surage
## ----------------- ---------
## Mean 66.17
## Std.Dev 12.48
## Min 16.00
## Q1 59.00
## Median 68.00
## Q3 75.00
## Max 95.00
## MAD 11.86
## IQR 16.00
## CV 0.19
## Skewness -0.82
## SE.Skewness 0.03
## Kurtosis 0.85
## N.Valid 5799.00
## N 5799.00
## Pct.Valid 100.00
Infected patients
Although slightly left skewed, the distribution of age among infected patients is close to a normal distribution
## Descriptive Statistics
## data_tfm_CC_ssiyes$surage
## Label: Age
## N: 471
##
## surage
## ----------------- --------
## Mean 64.68
## Std.Dev 12.59
## Min 26.00
## Q1 58.00
## Median 66.00
## Q3 74.00
## Max 89.00
## MAD 11.86
## IQR 16.00
## CV 0.19
## Skewness -0.69
## SE.Skewness 0.11
## Kurtosis 0.29
## N.Valid 471.00
## N 471.00
## Pct.Valid 100.00
Non-infected patients
Although slightly left skewed, the distribution of age among non-infected patients is close to a normal distribution
## Descriptive Statistics
## data_tfm_CC_ssino$surage
## Label: Age
## N: 5328
##
## surage
## ----------------- ---------
## Mean 66.31
## Std.Dev 12.47
## Min 16.00
## Q1 59.00
## Median 68.00
## Q3 75.00
## Max 95.00
## MAD 11.86
## IQR 16.00
## CV 0.19
## Skewness -0.83
## SE.Skewness 0.03
## Kurtosis 0.90
## N.Valid 5328.00
## N 5328.00
## Pct.Valid 100.00## Descriptive Statistics
## data_tfm_CC_ssiyes$surage
## Label: Age
## N: 471
##
## surage
## ----------------- --------
## Mean 64.68
## Std.Dev 12.59
## Min 26.00
## Q1 58.00
## Median 66.00
## Q3 74.00
## Max 89.00
## MAD 11.86
## IQR 16.00
## CV 0.19
## Skewness -0.69
## SE.Skewness 0.11
## Kurtosis 0.29
## N.Valid 471.00
## N 471.00
## Pct.Valid 100.00
Preoperative length of stay
The preoperative length of stay has a strongly right-skewed distribution, with many outlier values (surgical procedures with higher than expected preoperative length of stay). The large majority of patients underwent surgery either on the same day (34.7%) or one day after admission (53.4%), but a significant number of patients were not operated until several days or weeks later. About 95.9% of surgeries occurred within the first week, and 98.6% within the first two weeks. A small proportion of patients (0.3%) underwent surgery 30 to 59 days after admission. Since such delays are clinically unlikely, these outlier values may reflect data quality issues.
## Descriptive Statistics
## data_tfm_CC$preoplos
## Label: Preoperative length of stay (days)
## N: 5799
##
## preoplos
## ----------------- ----------
## Mean 1.43
## Std.Dev 3.51
## Min 0.00
## Q1 0.00
## Median 1.00
## Q3 1.00
## Max 59.00
## MAD 0.00
## IQR 1.00
## CV 2.45
## Skewness 7.06
## SE.Skewness 0.03
## Kurtosis 69.83
## N.Valid 5799.00
## N 5799.00
## Pct.Valid 100.00
Unique values of preoperative length of stay:
Preoperative length of stay excluding outlier values
After excluding cases with a preoperative stay longer than 14 days (1.4%), the distribution of preoperative length of stay is still heavily right skewed, following a non-normal distribution.
## Descriptive Statistics
## data_tfm_CC_excout$preoplos
## Label: Preoperative length of stay (days)
## N: 5716
##
## preoplos
## ----------------- ----------
## Mean 1.11
## Std.Dev 1.92
## Min 0.00
## Q1 0.00
## Median 1.00
## Q3 1.00
## Max 14.00
## MAD 0.00
## IQR 1.00
## CV 1.73
## Skewness 4.10
## SE.Skewness 0.03
## Kurtosis 18.86
## N.Valid 5716.00
## N 5716.00
## Pct.Valid 100.00
Surgery duration (minutes)
The distribution of surgery duration doesn’t follow a normal distribution, since it strongly right skewed with some extremely high values.
## Descriptive Statistics
## data_tfm_CC$duration
## Label: Surgery duration (minutes)
## N: 5799
##
## duration
## ----------------- ----------
## Mean 145.69
## Std.Dev 80.14
## Min 4.00
## Q1 90.00
## Median 120.00
## Q3 186.00
## Max 1685.00
## MAD 59.30
## IQR 96.00
## CV 0.55
## Skewness 2.66
## SE.Skewness 0.03
## Kurtosis 27.51
## N.Valid 5799.00
## N 5799.00
## Pct.Valid 100.00
Outlier values of surgery duration:
Shorter than 30 minutes: 21 (0.4%)
Shorter than one hour: 149 (2.6%)
Longer than 5 hours: 240 (4.1%)
Longer than 10 hours: 6 (0.1%)
Follow-up time (days)
Infected patients
The follow-up time for patients that had an infection is equal to the number of days since the intervention took place.
## Descriptive Statistics
## data_infected$follow
## Label: Follow-up time (days)
## N: 471
##
## follow
## ----------------- --------
## Mean 18.16
## Std.Dev 14.13
## Min 1.00
## Q1 8.00
## Median 14.00
## Q3 25.00
## Max 78.00
## MAD 11.86
## IQR 17.00
## CV 0.78
## Skewness 1.31
## SE.Skewness 0.11
## Kurtosis 1.69
## N.Valid 471.00
## N 471.00
## Pct.Valid 100.00
Non-infected patients
For patients that were not diagnosed with a SSI, the follow-up time is equal to the total follow-up duration, which is defined depending on the type of surgical procedure (surtype): 30 days for colon and rectal resections, 90 days for the rest of procedures, except for cases where death occured before the follow-up period ended. Therefore, teh distribution of follow-up time in this subset of patients is similar is concentrated in 30 and 90 days.
## Descriptive Statistics
## data_non_infected$follow
## Label: Follow-up time (days)
## N: 5328
##
## follow
## ----------------- ---------
## Mean 69.26
## Std.Dev 28.55
## Min 6.00
## Q1 30.00
## Median 90.00
## Q3 90.00
## Max 90.00
## MAD 0.00
## IQR 60.00
## CV 0.41
## Skewness -0.65
## SE.Skewness 0.03
## Kurtosis -1.57
## N.Valid 5328.00
## N 5328.00
## Pct.Valid 100.00
HDI (continuous) - Country of birth
Overall
Since most patients were born in Spain, the distribution of the variable is strongly left skewed, hence not normal.
## Descriptive Statistics
## data_tfm_CC$CoB_hdi
## Label: Country of birth - Human Development Index
## N: 5799
##
## CoB_hdi
## ----------------- ---------
## Mean 0.89
## Std.Dev 0.05
## Min 0.47
## Q1 0.90
## Median 0.90
## Q3 0.90
## Max 0.96
## MAD 0.00
## IQR 0.00
## CV 0.05
## Skewness -4.51
## SE.Skewness 0.03
## Kurtosis 22.07
## N.Valid 5799.00
## N 5799.00
## Pct.Valid 100.00
Country of birth not Spain
Among patients born outside of Spain:
## Descriptive Statistics
## data_tfm_CC_cobnotspain$CoB_hdi
## Label: Country of birth - Human Development Index
## N: 487
##
## CoB_hdi
## ----------------- ---------
## Mean 0.77
## Std.Dev 0.09
## Min 0.47
## Q1 0.70
## Median 0.76
## Q3 0.84
## Max 0.96
## MAD 0.10
## IQR 0.14
## CV 0.12
## Skewness -0.21
## SE.Skewness 0.11
## Kurtosis 0.02
## N.Valid 487.00
## N 487.00
## Pct.Valid 100.00
The distribution of the HDI in the subset of patients born outside of Spain (N = 487) follows a fairly normal distribution.
Migrants
Among the groups of migrants, the HDI of country of birth follows a normal distribution
## Descriptive Statistics
## data_tfm_CC_migr$CoB_hdi
## Label: Country of birth - Human Development Index
## N: 490
##
## CoB_hdi
## ----------------- ---------
## Mean 0.77
## Std.Dev 0.09
## Min 0.47
## Q1 0.70
## Median 0.76
## Q3 0.84
## Max 0.96
## MAD 0.11
## IQR 0.14
## CV 0.12
## Skewness -0.22
## SE.Skewness 0.11
## Kurtosis 0.00
## N.Valid 490.00
## N 490.00
## Pct.Valid 100.00
HDI (continuous) - Country of citizenship
Overall
Since most patients have a spanish citizenship, the distribution of the variable is strongly left skewed, hence not normal.
## Descriptive Statistics
## data_tfm_CC$CoC_hdi
## Label: Country of citizenship - Human Development Index
## N: 5799
##
## CoC_hdi
## ----------------- ---------
## Mean 0.90
## Std.Dev 0.03
## Min 0.47
## Q1 0.90
## Median 0.90
## Q3 0.90
## Max 0.95
## MAD 0.00
## IQR 0.00
## CV 0.04
## Skewness -7.54
## SE.Skewness 0.03
## Kurtosis 64.05
## N.Valid 5799.00
## N 5799.00
## Pct.Valid 100.00
Country of citizenship not Spain
Among patients with a country of citizenship different from Spain:
## Descriptive Statistics
## data_tfm_CC_cocnotspain$CoC_hdi
## Label: Country of citizenship - Human Development Index
## N: 234
##
## CoC_hdi
## ----------------- ---------
## Mean 0.78
## Std.Dev 0.11
## Min 0.47
## Q1 0.69
## Median 0.77
## Q3 0.90
## Max 0.95
## MAD 0.13
## IQR 0.20
## CV 0.14
## Skewness -0.51
## SE.Skewness 0.16
## Kurtosis -0.25
## N.Valid 234.00
## N 234.00
## Pct.Valid 100.00
The distribution of the HDI in the subset of patients that have a legal citizenship of a country different than Spain (N = 234) follows a fairly normal distribution.
Migrants
Among the group of migrants, the HDI of country of citizenship doesn’t follow a normal distribution.
## Descriptive Statistics
## data_tfm_CC_migr$CoC_hdi
## Label: Country of citizenship - Human Development Index
## N: 490
##
## CoC_hdi
## ----------------- ---------
## Mean 0.85
## Std.Dev 0.10
## Min 0.47
## Q1 0.77
## Median 0.90
## Q3 0.90
## Max 0.95
## MAD 0.00
## IQR 0.13
## CV 0.12
## Skewness -1.55
## SE.Skewness 0.11
## Kurtosis 1.71
## N.Valid 490.00
## N 490.00
## Pct.Valid 100.00
Univariate analysis - categorical variables
Sex
The female to male sex ratio is: 0.9
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5797
##
## -------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------- ---------------- -------------------- -------------- ---------- ---------
## 1 sex Sex 1. Male 3056 (52.7%) IIIIIIIIII 5799 0
## [factor] 2. Female 2743 (47.3%) IIIIIIIII (100.0%) (0.0%)
## -------------------------------------------------------------------------------------------------
Surgery Year
The proportion of surgeries included changed from year to year.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5782
##
## ----------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ----------------- ---------------- -------------------- ------- ---------- ---------
## 1 suryear Year of surgery 1. 2007 0 ( 0.0%) 5799 0
## [factor] 2. 2008 95 ( 1.6%) (100.0%) (0.0%)
## 3. 2009 245 ( 4.2%)
## 4. 2010 290 ( 5.0%) I
## 5. 2011 348 ( 6.0%) I
## 6. 2012 369 ( 6.4%) I
## 7. 2013 379 ( 6.5%) I
## 8. 2014 295 ( 5.1%) I
## 9. 2015 208 ( 3.6%)
## 10. 2016 297 ( 5.1%) I
## 11. 2017 298 ( 5.1%) I
## 12. 2018 160 ( 2.8%)
## 13. 2019 395 ( 6.8%) I
## 14. 2020 361 ( 6.2%) I
## 15. 2021 283 ( 4.9%)
## 16. 2022 175 ( 3.0%)
## 17. 2023 829 (14.3%) II
## 18. 2024 772 (13.3%) II
## ----------------------------------------------------------------------------------------------------
Surgery type
VINCat classification
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5791
##
## ----------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ---------------------------- ---------------------- -------------------- -------- ---------- ---------
## 1 surtype Surgical procedure (vincat 1. THA 1191 (20.5%) IIII 5799 0
## [factor] classification) 2. Rectal resection 690 (11.9%) II (100.0%) (0.0%)
## 3. TKA 1305 (22.5%) IIII
## 4. Colon resection 1379 (23.8%) IIII
## 5. CABG - DI 765 (13.2%) II
## 6. CABG - SI 66 ( 1.1%)
## 7. Valve replacement 329 ( 5.7%) I
## 8. CABG + valve 74 ( 1.3%)
## ----------------------------------------------------------------------------------------------------------------------
Study classification
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5793
##
## ---------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ----------- --------------------------- ------------------------------ -------------------- ----------- ---------- ---------
## 1 surtype_2 Surgical procedure (study 1. THA 1191 (20.5%) IIII 5799 0
## [factor] classification) 2. TKA 1305 (22.5%) IIII (100.0%) (0.0%)
## 3. Valve replacement 329 ( 5.7%) I
## 4. CABG + valve 74 ( 1.3%)
## 5. Colon or rectal resection 2069 (35.7%) IIIIIII
## 6. CABG 831 (14.3%) II
## ---------------------------------------------------------------------------------------------------------------------------------
Degree of urgency
Except few interventions, all surgical procedures were elective.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5796
##
## ----------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------------------- ------------------ -------------------- --------------------- ---------- ---------
## 1 urg Degree of urgency 1. Elective 5675 (97.9%) IIIIIIIIIIIIIIIIIII 5799 0
## [factor] 2. Urgent 6 ( 0.1%) (100.0%) (0.0%)
## 3. Semi-elective 118 ( 2.0%)
## ----------------------------------------------------------------------------------------------------------------------
ASA classification
More than half of patients were classified as ASA II, and more than one in four were classified as ASA II.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5794
##
## ---------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- -------------------- ---------------- -------------------- --------------- ---------- ---------
## 1 asa ASA classification 1. I 455 ( 7.8%) I 5799 0
## [factor] 2. II 3211 (55.4%) IIIIIIIIIII (100.0%) (0.0%)
## 3. III 1557 (26.8%) IIIII
## 4. IV 572 ( 9.9%) I
## 5. V 4 ( 0.1%)
## ---------------------------------------------------------------------------------------------------------------
Antibiotic prophylaxis
More than 90% of patients received an adequate antibiotic prophylaxis.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5797
##
## --------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------------------------ ---------------- -------------------- ---------------------- ---------- ---------
## 1 atbprof Antibiotic prophylaxis 1. Adequate 5433 (93.7%) IIIIIIIIIIIIIIIIII 5799 0
## [factor] 2. Inadequate 366 ( 6.3%) I (100.0%) (0.0%)
## --------------------------------------------------------------------------------------------------------------------------
Wound classification
All non-clean surgical wounds correspond to colon or rectal resection surgeries.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5795
##
## ----------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------------- ----------------------- -------------------- ---------------- ---------- ---------
## 1 wound Wound class 1. Clean 3733 (64.4%) IIIIIIIIIIII 5799 0
## [factor] 2. Clean-contaminated 1744 (30.1%) IIIIII (100.0%) (0.0%)
## 3. Contaminated 317 ( 5.5%) I
## 4. Infected 5 ( 0.1%)
## ----------------------------------------------------------------------------------------------------------------
Minimally invasive surgery
Approximately one third of procedures were open surgeries and the rest were minimally invasive surgeries.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5797
##
## -------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ---------------------------- ---------------- -------------------- ----------------- ---------- ---------
## 1 misurg Minimally invasive surgery 1. No 3972 (68.5%) IIIIIIIIIIIII 5799 0
## [factor] 2. Yes 1827 (31.5%) IIIIII (100.0%) (0.0%)
## -------------------------------------------------------------------------------------------------------------------------
Surgical Site Infection
A large proportion of patients didn’t have a SSI during the follow-up period.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5797
##
## ---------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------------------------- ---------------- -------------------- ---------------------- ---------- ---------
## 1 ssi Surgical Site Infection 1. No 5328 (91.9%) IIIIIIIIIIIIIIIIII 5799 0
## [factor] 2. Yes 471 ( 8.1%) I (100.0%) (0.0%)
## ---------------------------------------------------------------------------------------------------------------------------
Surgical Site Infection type
Among patients that had a SSI, the most frequent types were superficial incisional and organ/space infections.
## Data Frame Summary
## data_infected_ssitype
## Dimensions: 471 x 1
## Duplicates: 468
##
## ---------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------------------------------ --------------------------- -------------------- ------------ ---------- ---------
## 1 ssitype Surgical Site Infection type 1. Superficial incisional 204 (43.3%) IIIIIIII 471 0
## [factor] 2. Deep incisional 67 (14.2%) II (100.0%) (0.0%)
## 3. Organ/space 200 (42.5%) IIIIIIII
## ---------------------------------------------------------------------------------------------------------------------------------
Migration Status
More than 9 in 10 patients were non-migrant (holded a spanish citizenship and were born in Spain).
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5797
##
## --------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------------------ ---------------- -------------------- ---------------------- ---------- ---------
## 1 MS Migration Status 1. No 5309 (91.6%) IIIIIIIIIIIIIIIIII 5799 0
## [factor] 2. Yes 490 ( 8.4%) I (100.0%) (0.0%)
## --------------------------------------------------------------------------------------------------------------------
Country of birth
More than 90% of patients were born in Spain. The list of patients countries of birth sorted by decreasing frequency:
Country of legal citizenship
More than 95% of patients hold a Spanish citizenship. The list of patients countries of citizenship sorted by decreasing frequency:
Country of birth - World Region
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5792
##
## -----------------------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- --------------------------------- ------------------------------ -------------------- -------------------- ---------- ---------
## 1 CoB_WR Country of birth - World Region 1. East Asia & Pacific 28 ( 0.5%) 5799 0
## [factor] 2. Europe & Central Asia 5432 (93.7%) IIIIIIIIIIIIIIIIII (100.0%) (0.0%)
## 3. Latin America & Caribbean 246 ( 4.2%)
## 4. Middle East & North Afric 52 ( 0.9%)
## 5. North America 5 ( 0.1%)
## 6. South Asia 27 ( 0.5%)
## 7. Sub-Saharan Africa 9 ( 0.2%)
## -----------------------------------------------------------------------------------------------------------------------------------------------
Country of citizenship - World Region
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5792
##
## ------------------------------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- --------------------------------------- ------------------------------ -------------------- --------------------- ---------- ---------
## 1 CoC_WR Country of citizenship - World Region 1. East Asia & Pacific 14 ( 0.2%) 5799 0
## [factor] 2. Europe & Central Asia 5667 (97.7%) IIIIIIIIIIIIIIIIIII (100.0%) (0.0%)
## 3. Latin America & Caribbean 64 ( 1.1%)
## 4. Middle East & North Afric 26 ( 0.4%)
## 5. North America 4 ( 0.1%)
## 6. South Asia 19 ( 0.3%)
## 7. Sub-Saharan Africa 5 ( 0.1%)
## ------------------------------------------------------------------------------------------------------------------------------------------------------
Country of birth - HDI category
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5795
##
## ----------------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ------------ -------------------------------------- ---------------- -------------------- -------------------- ---------- ---------
## 1 CoB_hdicat Country of birth - Human Development 1. High 184 ( 3.2%) 5799 0
## [factor] Index category 2. Low 19 ( 0.3%) (100.0%) (0.0%)
## 3. Medium 109 ( 1.9%)
## 4. Very High 5487 (94.6%) IIIIIIIIIIIIIIIIII
## ----------------------------------------------------------------------------------------------------------------------------------------
Country of citizenship - HDI category
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5795
##
## -----------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ------------ -------------------------------- ---------------- -------------------- --------------------- ---------- ---------
## 1 CoC_hdicat Country of citizenship - Human 1. High 64 ( 1.1%) 5799 0
## [factor] Development Index category 2. Low 14 ( 0.2%) (100.0%) (0.0%)
## 3. Medium 48 ( 0.8%)
## 4. Very High 5673 (97.8%) IIIIIIIIIIIIIIIIIII
## -----------------------------------------------------------------------------------------------------------------------------------
Document type
Only a minority of patients were registered in the RCA databse with a document different from Spanish DNI.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5796
##
## ---------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- -------------- ---------------- -------------------- --------------------- ---------- ---------
## 1 doc RCA document 1. DNI 5568 (96.0%) IIIIIIIIIIIIIIIIIII 5799 0
## [factor] 2. NIE 209 ( 3.6%) (100.0%) (0.0%)
## 3. Passeport 22 ( 0.4%)
## ---------------------------------------------------------------------------------------------------------------
Income category
Only few patients had a yearly income greater than 100.000 euros.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5796
##
## ------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ---------- ------------------------ --------------------------- -------------------- --------------- ---------- ---------
## 1 income Yearly income category 1. < 18.000 euros 3252 (56.1%) IIIIIIIIIII 5799 0
## [factor] 2. 18.000 - 100.000 euros 2475 (42.7%) IIIIIIII (100.0%) (0.0%)
## 3. > 100.000 euros 72 ( 1.2%)
## ------------------------------------------------------------------------------------------------------------------------------
Health insurance
Almost every patient had public health insurance at the time of surgery.
## Data Frame Summary
## data_tfm_CC
## Dimensions: 5799 x 1
## Duplicates: 5797
##
## -------------------------------------------------------------------------------------------------------------------------------------------
## No Variable Label Stats / Values Freqs (% of Valid) Graph Valid Missing
## ---- ----------- ----------------------------------------- ---------------- -------------------- --------------------- ---------- ---------
## 1 insurance Health insurance at the time of surgery 1. No 7 ( 0.1%) 5799 0
## [factor] 2. Yes 5792 (99.9%) IIIIIIIIIIIIIIIIIII (100.0%) (0.0%)
## -------------------------------------------------------------------------------------------------------------------------------------------