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Table 2 Patient and outlet characteristics by survey round and outlet type

From: Fever case management at private health facilities and private pharmacies on the Kenyan coast: analysis of data from two rounds of client exit interviews and mystery client visits

Characteristics

2014

2015

Private health facility

Reg’d pharmacy

p-value

Private health facility

Reg’d pharmacy

p-value

%

%

%

%

Proportion of eligible outlets with

N = 86 outlets

N = 44 outlets

 

N = 89 outlets

N = 31 outlets

 

 Malaria RDT testing

87.5

100

0.012

96.6

100

0.297

 Functioning microscopy

83.4

1.9

< 0.001

77.5

6.4

< 0.001

 Thermometer

98.8

74.4

< 0.001

100

87.1

0.001

 Child scale

72.7

9.0

< 0.001

74.2

3.2

< 0.001

 AL tablets

97.7

100

0.306

97.8

100

0.402

 Government guidelines for IMCI or diagnosis and treatment of malaria

96.7

79.2

0.001

97.8

77.4

< 0.001

 Sharps container

100

92.8

0.015

100

100

–

Patient characteristics

N = 413

N = 121

 

N = 493

N = 140

 

Patient present

 Yes

99.4

74.9

< 0.001

99.5

85.1

< 0.001

Patient gendera

      

 Male

43.8

55.7

0.015

49.1

57.1

0.074

Patient age (years)b

      

 0–4

24.9

20.4

0.293

36.6

25.4

0.080

 ≥ 5

75.1

79.6

 

63.4

74.6

 

Patient/client education levelc

 None

12.7

4.1

0.027

20.5

17.5

0.364

 Primary

36.2

28.5

 

38.3

32.7

 

 Secondary

29.4

38.3

 

28.6

37.8

 

 University/Tertiary

21.7

29.1

 

12.7

12.0

 

Patient/client socioeconomic statusd

 Lowest

17.8

11.1

0.022

21.3

13.5

0.132

 Second

19.6

10.1

 

20.6

13.3

 

 Middle

20.3

21.8

 

20.7

20.9

 

 Fourth

23.5

21.4

 

20.3

21.1

 

 Highest

18.9

35.6

 

17.2

31.3

 

Previous treatment sought for this fever episodee

 Yes

18.2

31.8

0.005

20.0

40.2

< 0.001

Previous blood test during this fever episodef

 Yes

7.7

16.4

0.020

8.2

24.4

< 0.001

Symptoms on day of interviewg

 Fever

82.4

80.6

0.708

85.5

75.6

0.161

 Cough

32.3

28.1

0.490

36.2

31.6

0.413

 Diarrhoea

9.8

10.7

0.809

14.1

9.0

0.272

  1. a1 case at a private health facility (2014) and 1 case at a registered pharmacy (2015) missing information on client sex
  2. b2 cases at private health facilities (2014) are missing information on client age
  3. c1 case at a private health facility (2014) and 1 case at a private health facility (2015) are missing information on client education level
  4. d10 cases at private health facilities and 4 cases at registered pharmacies (2014); 9 cases at private health facilities and 4 cases at registered pharmacies (2015) are missing information on socioeconomic status
  5. e1 case at a private health facility (2015) missing information on previous treatment sought
  6. f1 case at a private health facility (2015) missing information on previous blood test
  7. g1 case at a private health facility (2015) missing information on fever, coughing and diarrhoea symptoms