| Literature DB >> 25837978 |
David Musoke1, George Miiro2, George Karani3, Keith Morris3, Simon Kasasa4, Rawlance Ndejjo1, Jessica Nakiyingi-Miiro5, David Guwatudde4, Miph Boses Musoke6.
Abstract
BACKGROUND: The World Health Organization recommends use of multiple approaches to control malaria. The integrated approach to malaria prevention advocates the use of several malaria prevention methods in a holistic manner. This study assessed perceptions and practices on integrated malaria prevention in Wakiso district, Uganda.Entities:
Mesh:
Year: 2015 PMID: 25837978 PMCID: PMC4383589 DOI: 10.1371/journal.pone.0122699
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of participants.
| Variable | Frequency (n = 727) | Percentage (%) |
|---|---|---|
|
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| Male | 234 | 32.2 |
| Female | 493 | 67.8 |
|
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| 18–29 | 289 | 39.8 |
| ≥ 30 | 438 | 60.3 |
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| Catholic | 294 | 40.4 |
| Anglican | 220 | 30.3 |
| Pentecostal | 95 | 13.1 |
| Muslim | 94 | 13.0 |
| Seventh Day Adventists | 19 | 2.6 |
| Others | 5 | 1.0 |
|
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| Farmer | 235 | 32.3 |
| Business | 249 | 34.2 |
| Housewife | 82 | 11.3 |
| Unemployed | 108 | 14.9 |
| Others | 53 | 7.3 |
|
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| None | 78 | 10.7 |
| Primary | 329 | 45.3 |
| Secondary (ordinary) level | 259 | 35.6 |
| Secondary (advanced) level | 38 | 5.2 |
| Tertiary / university | 23 | 3.2 |
|
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| < 40 | 390 | 53.7 |
| ≥ 40 | 337 | 46.4 |
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| Household head | 416 | 57.2 |
| Spouse | 227 | 31.2 |
| Parent | 35 | 4.8 |
| Sibling | 20 | 2.8 |
| Other relative / not related | 29 | 4.0 |
|
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| 1–2 | 112 | 15.4 |
| 3–5 | 347 | 47.7 |
| ≥ 6 | 268 | 36.9 |
|
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| None | 254 | 34.9 |
| 1 | 235 | 32.3 |
| ≥ 2 | 238 | 32.7 |
Awareness of malaria prevention methods in the integrated approach.
| Methods categorised by target | Frequency(n = 727) | Percentage (%) |
|---|---|---|
|
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| Sleeping under untreated mosquito net | 721 | 99.2 |
| Sleeping under ITN | 709 | 97.5 |
| Spraying house with insecticides | 680 | 93.5 |
| Using mosquito coils | 633 | 87.1 |
| Indoor residual spraying | 431 | 59.3 |
| Using body mosquito repellents | 349 | 48.0 |
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| Clearing overgrown vegetation around homes | 712 | 97.9 |
| Removing mosquito breeding sites | 648 | 89.1 |
| Larviciding in water pools | 432 | 59.4 |
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| Closing windows and doors early in the evenings | 701 | 96.4 |
| Installing screening in ventilators and open eaves | 576 | 79.2 |
| Installing screening in windows | 569 | 78.3 |
Malaria prevention methods that households would not use in the integrated approach.
| Methods categorised by target | Frequencies (n = 228) | Percentage (%) |
|---|---|---|
|
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| Sleeping under untreated mosquito net | 18 | 7.9 |
| Sleeping under ITN | 83 | 36.4 |
| Spraying house with insecticides | 83 | 36.4 |
| Using mosquito coils | 121 | 53.1 |
| Indoor residual spraying | 142 | 62.3 |
| Using body mosquito repellents | 185 | 81.1 |
|
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| Clearing overgrown vegetation around homes | 45 | 19.7 |
| Removing mosquito breeding sites | 74 | 32.5 |
| Larviciding in water pools | 144 | 63.2 |
|
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| Closing windows and doors early in the evenings | 29 | 12.7 |
| Installing screening in ventilators and open eaves | 83 | 36.4 |
| Installing screening in windows | 88 | 38.6 |
Fig 1Malaria prevention methods used by households.
Crude and multivariable analysis for use of integrated malaria prevention at households.
| Variables | Use integrated malaria prevention | Crude analysis | Multivariable analysis | ||
|---|---|---|---|---|---|
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|
| |
|
| 240 | 33.0 [29.6–36.4] | |||
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| Male | 92 | 39.3 [33.2–45.7] | Ref | Ref | |
| Female | 148 | 30.0 [26.1–34.2] | 0.66 [0.48–0.92] | 1.00 [0.69–1.46] | 1.00 |
|
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| 18–29 | 86 | 29.8 [24.8–35.3] | Ref | Ref | |
| ≥30 | 154 | 35.3 [30.8–39.8] | 1.28 [0.93–1.76] | 1.25 [0.88–1.79] | 0.20 |
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| 1–2 | 48 | 42.9 [34.0–52.2] | Ref | Ref | |
| 3–5 | 98 | 28.2 [23.7–33.2] | 0.52 [0.34–0.82] | 0.55 [0.37–0.83] | 0.004 |
| ≥6 | 94 | 35.1 [29.6–41.0] | 0.72 [0.46–1.13] | 0.61 [0.33–1.12] | 0.11 |
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| None | 209 | 34.5 [30.8–38.4] | Ref | Ref | |
| Yes | 31 | 25.6 [18.6–34.2] | 0.65 [0.42–1.02] | 0.62 [0.34–1.13] | 0.12 |
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| Yes | 130 | 49.8 [43.7–55.9] | Ref | Ref | |
| No | 110 | 23.6 [20.0–27.7] | 0.31 [0.23–0.43] | 0.34 [0.22–0.53] | <0.0001 |
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| None | 116 | 27.5 [23.4–32.0] | Ref | Ref | |
| Bicycle | 57 | 38.8 [31.2–46.9] | 1.67 [1.13–2.48] | 1.51 [0.88–2.60] | 0.13 |
| Motorcycle/car | 67 | 42.4 [34.9–50.2] | 1.94 [1.33–2.84] | 1.75 [1.03–2.98] | 0.04 |
* p-value <0.05
1 Multivariable analysis included all the 727 households
2 95% CI estimated using robust SE.
3 Without account for clustering, 95% CI = 0.37–1.00, p-value = 0.05
4 Without account for clustering, 95% CI = 0.39–0.98, p-value = 0.04
5 Without account for clustering, 95% CI = 0.99–2.30, p-value = 0.05