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Table 3 Case management of patients 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

Description

2014

2015

Private health facility

Registered pharmacy

p-value

Private health facility

Registered pharmacy

p-value

%

%

%

%

Malaria blood testinga

N = 413

N = 121

 

N = 493

N = 139

 

 Patient tested for malaria

84.1

39.7

< 0.001

83.2

40.0

< 0.001

Eligible patientb

N = 374

N = 81

 

N = 450

N = 91

 

  Tested for malaria

85.6

60.8

0.001

85.3

56.3

< 0.001

  Tested by RDT

30.4

52.1

0.013

52.6

56.3

0.724

  Tested by microscopy

35.6

4.7

0.006

27.3

0.0

0.014

  Tested, test type unknown

17.8

4.0

0.016

5.1

0.0

0.189

Reported malaria test result

 Proportion of patients tested by microscopy that reported

N = 138

N = 6

 

N = 141

N = 0

 

  Result was positive for malaria

51.6

50.0

0.810

63.4

–

–

 Proportion of patients tested by RDT that reported

N = 134

N = 41

 

N = 250

N = 58

 

  Result was positive for malaria

52.3

47.2

0.338

45.1

52.8

0.712

Medicines bought/prescribedc

 Proportion of test positive patients that received anyd

N = 191

N = 25

 

N = 203

N = 35

 

  Medicine

97.1

86.8

0.074

98.0

97.1

0.750

  Any anti-malarial

84.6

86.8

0.831

91.6

92.6

0.843

  ACT

75.5

86.8

0.343

84.1

85.6

0.841

  Other anti-malarial

12.0

0.0

0.249

13.4

6.9

0.401

  Antibiotic

40.4

21.1

0.090

47.0

14.2

0.004

  Anti-malarial and antibiotic

30.9

21.1

0.358

42.3

11.8

0.001

 Proportion of test negative patients that received any

N = 151

N = 23

 

N = 206

N = 23

 

  Medicine

85.3

69.6

0.124

92.4

88.6

0.471

  Any anti-malarial

6.7

13.9

0.419

3.9

0.0

0.671

  ACT

5.0

13.9

0.255

2.2

0.0

0.667

  Other anti-malarial

2.0

0.0

0.521

2.5

0.0

0.711

  Antibiotic

63.2

33.5

0.058

69.6

40.3

0.027

  Anti-malarial and antibiotic

4.2

11.2

0.387

1.8

0.0

0.662

 Proportion of untested eligible patients that received any

N = 48

N = 31

 

N = 60

N = 38

 

  Medicine

92.7

89.8

0.673

95.0

89.5

0.335

  Any anti-malarial

8.4

40.8

0.001

19.8

22.2

0.807

  ACT

8.4

34.7

0.005

4.9

13.5

0.143

  Other anti-malarial

0.0

6.1

0.051

11.6

10.6

0.884

  Antibiotic

68.7

24.6

0.001

50.5

31.8

0.069

  Anti-malarial and antibiotic

1.2

4.1

0.323

5.3

5.5

0.974

Provider counselling and advicee

 Proportion of clients that were told to

N = 413

N = 121

 

N = 493

N = 140

 

  Come back immediately if the condition gets worse

14.5

14.8

0.944

33.8

17.6

0.026

  Come back in 2 days if there is no improvement

6.9

5.2

0.619

10.6

11.3

0.900

  1. a1 case at a registered pharmacy missing information
  2. bAn eligible patient is a patient who was present and had not been previously tested for malaria for the fever episode prior to the visit
  3. cCases missing information: in 2014, 3 at private health facilities and 3 at registered pharmacies; in 2015, 8 cases at private health facilities and 1 at a registered pharmacy
  4. dPatients could receive or be prescribed more than one medicine and totals do not sum to 100%
  5. eCases missing information: in 2014, 4 at private health facilities and 4 at registered pharmacies; in 2015, 6 at private health facilities and 3 at registered pharmacies
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Malaria Journal

ISSN: 1475-2875

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