Background
Methods
Data
Variables
Analysis
Results
Overview of the main variables
Variable | Freq (%) (n = 3,263) |
---|---|
Slept under an ITN the previous night | |
No | 731 (22.4) |
Yes | 2,532 (77.6) |
Exposed to BCC messages through mass media and/or community-based channels | |
No | 2,498 (76.6) |
Yes | 765 (23.4) |
Age (in years) | |
15-24 | 934 (28.6) |
25-34 | 1,230 (37.7) |
35-49 | 1,099 (33.7) |
Education | |
None | 817 (25.0) |
Primary | 1,568 (48.0) |
Secondary or higher | 878 (26.9) |
Province of residence | |
Central, Copperbelt | 433 (13.3) |
Eastern, Northern, Luapula | 1,342 (41.1) |
Lusaka | 354 (10.9) |
Western, Southern, North-Western | 1,134 (34.8) |
Has a child under the age of 6 years | |
No | 1,166 (35.7) |
Yes | 2,097 (64.3) |
Wealth quintile | |
Poorer three quintiles | 1,597 (48.9) |
Wealthier two quintiles | 1,666 (51.1) |
Live in a district that received IRS | |
No | 376 (11.5) |
Yes | 2,887 (88.5) |
Live in an urban area | |
No | 2,630 (80.6) |
Yes | 633 (19.4) |
Number of nets in household | |
1 | 413 (12.7) |
2 | 1,168 (35.8) |
3+ | 1,682 (51.55) |
Talked to a health worker about malaria | |
No | 1,208 (37.2) |
Yes | 2,055 (63.0) |
Propensity score matching
Coefficient | SE | p-value | |
---|---|---|---|
EQUATION B: SLEPT UNDER AN ITN LAST NIGHT
| |||
Number of nets in household (Ref = 1) | |||
2 nets | 0.02 | 0.08 | 0.765 |
3 or more nets | 1.16 | 0.08 | 0.001 |
Received malaria information from a health worker | 1.18 | 0.06 | 0.001 |
Exposed to malaria information from BCC | 0.48 | 0.12 | 0.001 |
Constant | -0.48 | 0.08 | 0.001 |
EQUATION A: EXPOSED TO MALARIA INFORMATION FROM BCC
| |||
Age (Ref = 15–24) | |||
25-34 years old | -0.05 | 0.10 | 0.642 |
35-49 years old | 1.34 | 0.11 | 0.001 |
Education (Ref = None) | |||
Primary | 2.19 | 0.17 | 0.001 |
Secondary or Higher | 3.94 | 0.19 | 0.001 |
Upper 2 wealth quintiles | -0.66 | 0.09 | 0.001 |
Province (Ref: Central, Copperbelt) | |||
Eastern, Northern, Luapula | -0.77 | 0.10 | 0.001 |
Lusaka | -0.28 | 0.16 | 0.089 |
Western, Southern, NorthWestern | -0.61 | 0.10 | 0.001 |
Has a child under the age of 6 | -0.55 | 0.09 | 0.001 |
Lives in a district that received IRS | -0.39 | 0.10 | 0.001 |
Lives in an urban area | 0.04 | 0.12 | 0.736 |
Constant | -2.19 | 0.21 | 0.001 |
Correlation between residuals
| 0.021 | 0.08 | 0.7791 |
% prior to matching (n = 3,263) | % following matching (n = 3,227) | |||||
---|---|---|---|---|---|---|
Exposed | Unexposed | p-value | Exposed | Unexposed | p-value | |
Age | ||||||
15-24 years (ref) | ||||||
25-34 years | 22 | 42 | 0.001 | 20 | 20 | 1.000 |
35-49 years | 32 | 34 | 0.399 | 33 | 33 | 1.000 |
Education | ||||||
None (ref) | ||||||
Primary | 36 | 52 | 0.001 | 36 | 36 | 1.000 |
Secondary or more | 64 | 15 | 0.001 | 63 | 63 | 1.000 |
Province | ||||||
Central, Copperbelt (ref) | ||||||
Eastern, Northern, Luapula | 30 | 45 | 0.001 | 30 | 30 | 0.955 |
Lusaka | 4 | 13 | 0.001 | 3 | 4 | 1.000 |
Western, Southern, North-Western | 35 | 35 | 0.853 | 36 | 36 | 1.000 |
Has a child under the age of 6 years | 60 | 66 | 0.005 | 60 | 60 | 1.000 |
Upper two wealth quintiles | 65 | 47 | 0.001 | 66 | 66 | 0.956 |
Lives in an IRS district | 84 | 90 | 0.001 | 86 | 86 | 1.000 |
Lives in an urban area | 28 | 17 | 0.001 | 28 | 28 | 0.953 |