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Table 6 Factors associated with appropriate testing among suspect uncomplicated malaria patients (N = 1427)

From: Health worker adherence to malaria treatment guidelines at outpatient health facilities in southern Malawi following implementation of universal access to diagnostic testing

Factors

Number of patients

Number tested (weighted  %)

Unadjusted OR (95% CI)

p value

Adjusted OR (95% CI)

p value

Patient spontaneously reported these complaints to the HW

 Fever

  Yes

950

784 (81.8)

2.6 (1.6–4.3)

<0.0001

2.6 (1.7–4.0)

<0.0001

  No

477

288 (62.9)

Ref

 

Ref

 

 Headache

  Yes

481

380 (79.4)

1.4 (0.9–1.9)

0.055

1.5 (1.1–2.2)

0.017

  No

946

692 (73.8)

Ref

 

Ref

 

 Vomiting

  Yes

223

194 (86.1)

2.2 (1.2–4.2)

0.016

2.0 (1.0–4.0)

0.040

  No

1204

878 (73.8)

Ref

 

Ref

 

 Skin problem

  Yes

80

37 (49.0)

0.3 (0.2–0.5)

<0.0001

0.4 (0.2–0.6)

0.0001

  No

1347

1035 (77.1)

Ref

 

Ref

 
 

n/N

Weighted percent (95% CI)

OR (95% CI)

p value

Interaction term included in the model: supervision * 2013 malaria treatment guidelines available

 Supervision * Guidelines

299/389

75.9 (66.1, 85.8)

2.2 (0.8, 6.6)

0.143

 Supervision * No guidelines

438/559

78.8 (69.5, 88.0)

2.7 (0.9, 8.0)

0.073

 No supervision * Guidelines

161/190

87.4 (77.6, 97.2)

6.2 (1.6, 24.7)

0.009

 No supervision * No guidelines

174/289

56.8 (36.2, 77.4)

Ref

  1. Ref means referent group
  2. Interaction term included in the model. Other factors with p value ≥0.1 in the univariate analysis that were not included in the multivariable model were: (1) Patient-level factors: patient spontaneous report to the HW of malaria, chills, fatigue, joint pain, weakness or cough; (2) HW-level factors: HW age, number of patients seen by the HW, number of years of formal training received, number of years of clinical experience, latest training on malaria case management, access to the latest malaria treatment guidelines and supervision in the last 6 months; (3) HF-level factors: MoH vs CHAM operated HFs, availability of thermometers, number of patients at the HF and the number of HWs at the HF