PMCSMS

Descriptive tables

PMCSMS by intervention
intervention variable n min max median q1 q3 iqr mad mean sd se ci
1 pmcsms 117 10.4 40 25 19.0 29.0 10.0 7.413 24.433 6.383 0.590 1.169
2 pmcsms 110 10.4 40 24 20.8 28.0 7.2 5.930 24.391 5.635 0.537 1.065
3 pmcsms 30 15.0 31 22 20.0 26.5 6.5 3.706 22.900 4.428 0.809 1.654
PMCSMS by time
time variable n min max median q1 q3 iqr mad mean sd se ci
1 pmcsms 100 10.4 40 22.0 19.00 27.40 8.40 5.634 23.030 5.766 0.577 1.144
2 pmcsms 67 12.0 34 25.0 20.90 29.00 8.10 5.930 24.442 5.523 0.675 1.347
3 pmcsms 58 14.0 37 27.5 20.25 30.00 9.75 6.079 25.893 6.100 0.801 1.604
4 pmcsms 32 14.0 39 24.0 20.00 29.15 9.15 5.930 24.572 5.902 1.043 2.128
PMCSMS by delivery method
delivery_c variable n min max median q1 q3 iqr mad mean sd se ci
1 pmcsms 180 10.4 40 24 20.8 29 8.2 5.930 24.615 5.719 0.426 0.841
2 pmcsms 77 11.0 37 24 18.0 28 10.0 7.413 23.351 6.151 0.701 1.396
PMCSMS by intervention and time
intervention time variable n min max median q1 q3 iqr mad mean sd se ci
1 1 pmcsms 43 10.4 40 22.0 19.00 28.40 9.40 7.710 23.530 6.383 0.973 1.965
1 2 pmcsms 28 12.0 33 26.0 18.75 29.50 10.75 7.561 24.550 6.570 1.242 2.548
1 3 pmcsms 26 14.0 37 28.5 20.50 30.00 9.50 5.337 26.100 6.412 1.258 2.590
1 4 pmcsms 20 14.0 34 24.0 19.75 29.15 9.40 7.413 24.045 6.116 1.367 2.862
2 1 pmcsms 42 10.4 40 21.8 19.00 25.00 6.00 4.744 22.505 5.762 0.889 1.796
2 2 pmcsms 31 18.0 34 25.0 22.00 28.00 6.00 4.448 24.910 4.392 0.789 1.611
2 3 pmcsms 25 16.0 37 25.0 22.00 31.00 9.00 7.413 26.408 6.103 1.221 2.519
2 4 pmcsms 12 20.0 39 24.0 21.50 26.90 5.40 4.448 25.450 5.676 1.638 3.606
3 1 pmcsms 15 18.0 31 23.0 20.50 24.50 4.00 2.965 23.067 3.751 0.968 2.077
3 2 pmcsms 8 15.0 31 21.5 19.00 25.25 6.25 5.930 22.250 5.651 1.998 4.724
3 3 pmcsms 7 17.0 29 21.0 20.00 28.00 8.00 5.930 23.286 4.889 1.848 4.522

Boxplots

Correlation of responses

Correlation between PMCSMS scores at each timepoint

Correlation between PMCSMS scores at each time point, layered with intervention

Group trajectories

## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?

## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'

DASS - Total

DASS Total by intervention
intervention variable n min max median q1 q3 iqr mad mean sd se ci
1 dass_total 116 2 114 39 22.0 56.5 34.5 25.204 43.302 27.026 2.509 4.970
2 dass_total 110 6 124 40 30.0 56.0 26.0 20.756 44.618 23.040 2.197 4.354
3 dass_total 30 20 106 59 38.5 71.5 33.0 26.687 56.933 22.820 4.166 8.521
PMCSMS by time
time variable n min max median q1 q3 iqr mad mean sd se ci
1 dass_total 100 6 124 46 33.5 72.0 38.5 25.204 51.880 25.973 2.597 5.154
2 dass_total 67 8 118 38 23.0 64.0 41.0 26.687 43.970 24.140 2.949 5.888
3 dass_total 58 2 106 38 24.0 52.5 28.5 20.756 41.103 23.830 3.129 6.266
4 dass_total 31 6 96 34 19.5 47.0 27.5 20.756 36.161 22.996 4.130 8.435
PMCSMS by delivery method
delivery_c variable n min max median q1 q3 iqr mad mean sd se ci
1 dass_total 179 6 124 42 25 60 35 26.687 45.022 24.704 1.846 3.644
2 dass_total 77 2 114 40 26 62 36 23.722 46.494 26.352 3.003 5.981
PMCSMS by intervention and time
intervention time variable n min max median q1 q3 iqr mad mean sd se ci
1 1 dass_total 43 6 114 46 31.0 70.0 39.0 26.687 52.000 27.509 4.195 8.466
1 2 dass_total 28 8 86 32 20.0 53.5 33.5 23.722 39.286 24.587 4.646 9.534
1 3 dass_total 26 2 106 36 18.5 46.0 27.5 22.239 38.077 27.934 5.478 11.283
1 4 dass_total 19 10 96 26 21.5 44.0 22.5 20.756 36.684 24.873 5.706 11.988
2 1 dass_total 42 8 124 44 32.5 73.5 41.0 22.239 50.667 26.169 4.038 8.155
2 2 dass_total 31 16 118 38 26.0 56.0 30.0 20.756 44.194 23.429 4.208 8.594
2 3 dass_total 25 14 70 38 32.0 48.0 16.0 14.826 39.440 14.939 2.988 6.167
2 4 dass_total 12 6 72 37 14.0 48.5 34.5 25.204 35.333 20.703 5.976 13.154
3 1 dass_total 15 20 106 56 39.0 69.0 30.0 23.722 54.933 21.907 5.656 12.132
3 2 dass_total 8 20 84 66 54.0 71.0 17.0 10.378 59.500 21.132 7.471 17.667
3 3 dass_total 7 24 96 58 33.0 82.0 49.0 41.513 58.286 29.244 11.053 27.047

QOL