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Table 6 Multivariate Logistic Regression results of perception factors and household characteristics on membership status

From: Do household perceptions influence enrolment decisions into community-based health insurance schemes in Tanzania?

Variables

Model 1: PCA Results

Model 2: FA Results

OR* (SE)

OR* (SE)

Quality P1, F1

1.279 *** (0.101)

1.464*** (0.129)

Preferences P2, F2

0.614*** (0.052)

0.577*** (0.063)

Convenience P3, F3

1.402*** (0.128)

1.497*** (0.171)

Understanding P4

0.830 ** (0.061)

 

Recommendation P5, F4

0.826*** (0.052)

0.843** (0.068)

Knowledge P6

1.390 *** (0.109)

 

Awareness P7

1.075 (0.078)

 

Household characteristics

  

Sex

 Female

1

1

 Male

0.753 (0.146)

0.753 (0.145)

Age (years)

 60+

1

1

 40–59

0.571** (0.156)

0.567** (0.154)

 26–39

0.459*** (0.136)

0.466*** (0.136)

 18–25

0.582 (0.268)

0.562 (0.252)

Education

 Secondary and higher education

1

1

 Primary education

1.029 (0.325)

0.918 (0.282)

 No education

1.268 (0.489)

1.049 (0.394)

Marital status

 Unmarried

1

1

 Married

1.165 (0.257)

1.193 (0.263)

Family size

 ≥ 10

1

1

 7–9

0.760 (0.361)

0.751 (0.357)

 4–6

0.736 (0.338)

0.737 (0.336)

 ≤ 3

0.677 (0.325)

0.679 (0.327)

Religion

 Muslim

1

1

 Christian

1.119 (0.289)

1.162 (0.296)

Occupation

 Non-farmers

1

1

 Farmers

0.951 (0.202)

0.968 (0.206)

Income (in TZS)

 1.000.000 and higher

1

1

 500.000–999.999

0.683 (0.562)

0.599 (0.488)

 100.000–499.999

0.480 (0.349)

0.416 (0.299)

 50.000–99.999

0.357 (0.264)

0.317 (0.231)

 0–49.999

0.267* (0.198)

0.218** (0.159)

 Number of observations

722

722

 Log-likelihood

− 391.5037

− 396.7734

 Likelihood ratio test

84.02

77.42

 Prob >chi2

0.000

0.000

 Pseudo R2

0.1145

0.1028

  1. Source: Authors’ calculation of logistic regression based on primary data
  2. Notes: (1) Primary data were collected from two rural districts of Dodoma region (Bahi and Chamwino) (2) Significance level: ***(p ≤ 0.01); **(p ≤ 0.05); *(p ≤ 0.1)