| Literature DB >> 30766580 |
David Musoke1, George Karani2, Keith Morris2, Rawlance Ndejjo1, Edwinah Atusingwize1, David Guwatudde3, Miph Boses Musoke4.
Abstract
BACKGROUND: The integrated approach to malaria prevention, which advocates for the use of several malaria prevention methods at households, is being explored to complement other existing strategies. We implemented a pilot project that promoted the integrated approach to malaria prevention in two rural communities in Wakiso district, Uganda.Entities:
Keywords: Malaria; Uganda; integrated malaria prevention; knowledge; practices; prevention
Mesh:
Substances:
Year: 2018 PMID: 30766580 PMCID: PMC6354846 DOI: 10.4314/ahs.v18i4.35
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 0.927
Comparison of socio-demographic characteristics of participants between baseline survey and impact evaluation
| Variable | Baseline | Evaluation | χ2 (p value) |
| 18–24 | 80 (21.3) | 84 (15.6) | |
| 25–34 | 127 (33.8) | 191 (35.4) | 68.4 (<0.001) |
| 35–44 | 76 (20.2) | 143 (26.5) | |
| > 44 | 93 (24.7) | 122 (22.6) | |
| Male | 122 (32.4) | 217 (40.2) | 5.69 (0.017) |
| Female | 254 (67.6) | 323 (59.8) | |
| Catholic | 148 (39.4) | 219 (40.6) | |
| Anglican | 116 (30.9) | 143 (26.5) | 7.64 (0.106) |
| Muslim | 64 (17.0) | 105 (19.4) | |
| Pentecostal | 39 (10.4) | 69 (12.8) | |
| Other | 9 (2.4) | 4 (0.7) | |
| Farmer | 121 (32.2) | 241 (44.6) | |
| Business | 93 (24.7) | 124 (23.0) | 30.09 (<0.001) |
| Housewife | 88 (23.4) | 129 (23.9) | |
| Others | 74 (19.7) | 46 (8.5) | |
| None | 51(13.6) | 117 (21.7) | |
| Primary | 170 (45.2) | 195 (36.1) | 13.39 (0.010) |
| Secondary | 147 (39.1) | 211 (39.1) | |
| Tertiary / university | 8 (2.1) | 17 (3.1) | |
| < 20 | 123 (32.7) | 201 (37.2) | 8.23 (0.042) |
| 20 – 60 | 185 (49.2) | 263 (48.7) | |
| 61 – 100 | 46 (12.2) | 63 (11.7) | |
| > 100 | 22(5.9) | 13 (2.4) | |
| 1 – 3 | 117 (31.1) | 183 (33.9) | 34.10 (<0.001) |
| 4 – 6 | 190 (50.5) | 307 (56.9) | |
| ≥ 7 | 69 (18.4) | 50 (9.3) | |
Figure 1Comparison of knowledge on individual malaria prevention methods between the baseline survey and impact evaluation
Comparison of malaria prevention practices at households between the baseline and evaluation
| Variable | Category | Baseline | Evaluation | Chi | P value |
| N = 376 (%) | N = 540 (%) | square | |||
| Presence of at least | Yes | 171 (45.5) | 247 (45.7) | 0.0061 | 0.938 |
| one mosquito net in | No | 205 (54.5) | 293 (54.3) | ||
| Used indoor residual | Yes | 2 (0.5) | 17 (3.2) | 7.9 | 0.019 |
| spraying in previous | No | 374 (99.5) | 523 (96.9) | ||
| Presence of mosquito | Yes | 8 (2.1) | 106 (19.6) | 62.3 | <0.001 |
| screening in windows | No | 368 (97.9) | 434 (80.4) | ||
| Presence of stagnant | Yes | 66 (17.6) | 148 (27.4) | 12.0 | 0.001 |
| water in compound | No | 310 (82.5) | 392 (72.6) | ||
| Presence of vessels | Yes | 140 (37.2) | 195 (36.1) | 0.1 | 0.729 |
| around house that can | |||||
| potentially hold water | No | 236 (62.8) | 345 (63.9) | ||
| for mosquito | |||||
| breeding | |||||
| Closed windows on | Yes | 146 (45.1) | 364 (71.9) | 60.2 | <0.001 |
| houses before 6.00pm | No | 178 (54.9) | 142 (28.1) | ||
| Presence of | Yes | 161 (42.8) | 250 (46.3) | 1.1 | 0.298 |
| overgrown vegetation | No | 215 (57.2) | 290 (53.7) | ||
Statistically significant at p < 0.05
Figure 2A ventilator with screening on one of the demonstration houses.
Figure 3A window with screening on one of the demonstration houses.
Figure 4A ventilator and window with screening on one of the demonstration houses.