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Table 3 Raw, de-identified patient data of both cohorts after the application of propensity score matching (CP cohort, n = 62 and DP cohort, n = 124), including gender, age, and length of stay

From: Pre- and postoperative physiotherapy using a digital application decreases length of stay without reducing patient outcomes following total knee arthroplasty

Cohort

Patient ID

Gender

Age

Acute LOS

Rehab LOS

Total LOS

CP

1

Male

65

9

0

9

CP

2

Male

65

9

0

9

CP

3

Female

69

5

0

5

CP

4

Male

64

4

0

4

CP

5

Male

68

5

0

5

CP

6

Female

82

5

15

20

CP

7

Male

80

5

9

14

CP

8

Male

59

4

0

4

CP

9

Male

72

4

0

4

CP

10

Female

73

3

11

14

CP

11

Female

61

4

0

4

CP

12

Female

83

3

13

16

CP

13

Male

76

5

0

5

CP

14

Male

67

4

0

4

CP

15

Female

68

4

11

15

CP

16

Female

71

5

0

5

CP

17

Male

66

3

0

3

CP

18

Female

57

5

15

20

CP

19

Female

77

4

11

15

CP

20

Female

60

4

0

4

CP

21

Male

66

4

0

4

CP

22

Female

67

5

0

5

CP

23

Female

75

4

0

4

CP

24

Male

64

5

18

23

CP

25

Female

70

4

17

21

CP

26

Male

74

8

16

24

CP

27

Female

57

5

0

5

CP

28

Female

58

5

9

14

CP

29

Female

61

5

0

5

CP

30

Female

69

5

0

5

CP

31

Female

52

5

0

5

CP

32

Female

66

4

0

4

CP

33

Male

62

5

19

24

CP

34

Male

62

5

19

24

CP

35

Female

54

4

0

4

CP

36

Male

64

5

0

5

CP

37

Male

69

5

0

5

CP

38

Female

80

8

0

8

CP

39

Male

51

4

0

4

CP

40

Male

69

8

0

8

CP

41

Female

73

5

0

5

CP

42

Female

71

5

21

26

CP

43

Female

70

6

0

6

CP

44

Female

72

4

0

4

CP

45

Male

75

4

0

4

CP

46

Male

68

4

0

4

CP

47

Female

72

4

0

4

CP

48

Female

85

6

19

25

CP

49

Male

77

4

0

4

CP

50

Male

77

4

0

4

CP

51

Male

74

5

0

5

CP

52

Female

86

4

16

20

CP

53

Male

69

6

0

6

CP

54

Male

85

5

24

29

CP

55

Female

75

3

0

3

CP

56

Female

83

5

0

5

CP

57

Female

71

4

0

4

CP

58

Male

74

5

0

5

CP

59

Female

81

5

0

5

CP

60

Female

67

3

22

25

CP

61

Male

85

4

14

18

CP

62

Male

73

9

23

32

DP

63

Female

58

4

0

4

DP

64

Female

58

6

0

6

DP

65

Female

62

5

0

5

DP

66

Male

69

4

0

4

DP

67

Female

67

6

0

6

DP

68

Male

63

5

0

5

DP

69

Male

60

6

16

22

DP

70

Female

63

6

0

6

DP

71

Female

70

5

19

24

DP

72

Male

72

7

0

7

DP

73

Male

72

7

0

7

DP

74

Male

77

4

11

15

DP

75

Female

47

5

17

22

DP

76

Male

73

13

0

13

DP

77

Male

75

5

0

5

DP

78

Male

62

4

0

4

DP

79

Female

66

5

0

5

DP

80

Female

55

4

0

4

DP

81

Female

74

5

0

5

DP

82

Female

64

5

0

5

DP

83

Female

72

4

0

4

DP

84

Male

70

4

0

4

DP

85

Male

75

6

0

6

DP

86

Female

74

5

14

19

DP

87

Female

78

4

19

23

DP

88

Male

76

6

11

17

DP

89

Male

67

5

0

5

DP

90

Female

69

6

15

21

DP

91

Male

70

4

0

4

DP

92

Female

77

4

0

4

DP

93

Female

59

4

0

4

DP

94

Female

75

5

0

5

DP

95

Female

64

5

9

14

DP

96

Female

64

4

0

4

DP

97

Female

74

6

0

6

DP

98

Female

69

3

16

19

DP

99

Female

72

4

0

4

DP

100

Female

70

8

16

24

DP

101

Female

67

5

0

5

DP

102

Male

63

5

0

5

DP

103

Female

69

6

0

6

DP

104

Female

86

5

0

5

DP

105

Male

66

6

0

6

DP

106

Male

66

6

0

6

DP

107

Female

69

5

0

5

DP

108

Female

61

4

0

4

DP

109

Female

61

4

0

4

DP

110

Female

62

4

0

4

DP

111

Female

69

5

0

5

DP

112

Male

64

4

0

4

DP

113

Female

71

4

0

4

DP

114

Male

71

4

0

4

DP

115

Male

67

4

0

4

DP

116

Female

79

4

15

19

DP

117

Female

69

5

15

20

DP

118

Male

72

5

0

5

DP

119

Female

80

4

0

4

DP

120

Female

81

4

0

4

DP

121

Female

72

3

0

3

DP

122

Female

77

4

0

4

DP

123

Male

65

4

0

4

DP

124

Male

68

4

0

4

DP

125

Male

78

2

15

17

DP

126

Male

72

5

12

17

DP

127

Male

72

5

12

17

DP

128

Male

77

5

0

5

DP

129

Male

74

3

0

3

DP

130

Male

74

3

0

3

DP

131

Male

72

3

0

3

DP

132

Male

81

9

0

9

DP

133

Male

70

4

0

4

DP

134

Male

73

4

0

4

DP

135

Male

80

8

29

37

DP

136

Male

76

7

15

22

DP

137

Female

75

6

0

6

DP

138

Female

72

5

0

5

DP

139

Female

78

6

0

6

DP

140

Male

65

4

0

4

DP

141

Male

65

4

0

4

DP

142

Male

75

4

0

4

DP

143

Male

66

4

0

4

DP

144

Male

72

4

0

4

DP

145

Female

73

5

0

5

DP

146

Female

77

5

0

5

DP

147

Male

85

9

0

9

DP

148

Female

62

6

0

6

DP

149

Female

76

3

0

3

DP

150

Male

73

8

0

8

DP

151

Female

71

5

0

5

DP

152

Female

67

5

0

5

DP

153

Female

75

4

0

4

DP

154

Male

75

4

0

4

DP

155

Male

74

4

0

4

DP

156

Male

60

5

0

5

DP

157

Male

60

5

0

5

DP

158

Male

75

3

0

3

DP

159

Male

67

5

0

5

DP

160

Male

72

5

0

5

DP

161

Female

72

4

0

4

DP

162

Male

67

4

0

4

DP

163

Female

67

3

0

3

DP

164

Female

67

3

0

3

DP

165

Male

85

4

0

4

DP

166

Female

75

6

15

21

DP

167

Female

74

4

0

4

DP

168

Female

75

5

0

5

DP

169

Male

88

5

0

5

DP

170

Male

66

4

0

4

DP

171

Male

74

3

0

3

DP

172

Female

80

4

0

4

DP

173

Male

71

4

0

4

DP

174

Male

76

5

0

5

DP

175

Female

61

5

0

5

DP

176

Male

74

4

0

4

DP

177

Male

78

5

0

5

DP

178

Male

77

5

0

5

DP

179

Female

76

5

0

5

DP

180

Male

75

4

0

4

DP

181

Male

84

4

0

4

DP

182

Male

77

4

0

4

DP

183

Female

69

5

0

5

DP

184

Female

68

3

0

3

DP

185

Female

68

4

0

4

DP

186

Male

76

5

0

5