| Literature DB >> 20233413 |
Jane Chuma1, Vincent Okungu, Janet Ntwiga, Catherine Molyneux.
Abstract
BACKGROUND: Ensuring that the poor and vulnerable population benefit from malaria control interventions remains a challenge for malaria endemic countries. Until recently, ownership and use of insecticides treated nets (ITNs) in most countries was low and inequitable, although coverage has increased in countries where free ITN distribution is integrated into mass vaccination campaigns. In Kenya, free ITNs were distributed to children aged below five years in 2006 through two mass campaigns. High and equitable coverage were reported after the campaigns in some districts, although national level coverage remained low, suggesting that understanding barriers to access remains important. This study was conducted to explore barriers to ownership and use of ITNs among the poorest populations before and after the mass campaigns, to identify strategies for improving coverage, and to make recommendations on how increased coverage levels can be sustained.Entities:
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Year: 2010 PMID: 20233413 PMCID: PMC2847543 DOI: 10.1186/1471-2458-10-137
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Analytical framework. Source: adopted from Thiede et al., 2007.
Characteristics of survey households
| Variable | n = 708 |
|---|---|
| Mean (range) household size | 6 (2-37) |
| Number of children under five | 729 (17.3) |
| Adults with education > primary school | 447 (24.8) |
| Main occupation of household head | |
| Agriculture (small scale) | 498 (70.3) |
| Casual labourer | 76 (10.8) |
| Petty trade | 64 (9.0) |
| Other | 70 (9.9) |
| Median monthly per capita expenditure in KES (USD) | 1202 (15.4) |
| How long ago acquired last net | |
| < 1 year | 240 (52.1) |
| 1 year | 84 (18.2) |
| 2 years | 44 (9.5) |
| 3 +years | 93 (21.0) |
| Net conditions from households perspective | |
| Good condition | 219 (47.4) |
| Poor condition-torn but usable | 115 (24.9) |
| Very poor condition-not usable | 9 (2.0) |
| Differs for different nets | 119 (25.7) |
| Potential source of ITNs | |
| Local shop/market | 120 (16.9) |
| Government dispensary | 404 (57.1) |
| Government hospital | 62 (8.8) |
| Community Health worker | 22 (3.1) |
| Faith based health facility | 22 (3.1) |
| Do not know | 36 (5.1) |
| Other | 42 (6.0) |
| Main reasons for not owning ITNs (%) | |
| Not necessary | 14 (5.8) |
| Expensive/cannot afford | 216 (88.5) |
| Nets not available | 21 (8.6) |
| Other | 13 (5.3) |
Net ownership among survey households
| District | Number (%)of households that owned < = 1 net | 95% Confidence Interval | P-value |
|---|---|---|---|
| Bondo | |||
| Pre-campaigns (n = 179) | 159 (89.3) | 84.2 - 93.4 | 0.038 |
| Post-campaigns (n = 146) | 139 (95.2) | 91.7 - 98.7 | |
| Gucha | |||
| Pre-campaigns (n = 204) | 140 (68.7) | 62.3 - 75.0 | 0.001 |
| Post-campaigns (n = 175) | 145 (82.8) | 77.3 - 88.4 | |
| Makueni | |||
| Pre-campaigns (n = 141) | 76 (53.9) | 45.7 - 62.1 | 0.00 |
| Post-campaigns (n = 130) | 106 (81.6) | 74.9 - 88.2 | |
| Kwale | |||
| Pre-campaigns (n = 184) | 88 (47.8) | 40.6 - 55.0 | 0.00 |
| Post-campaigns (n = 174) | 129 (74.3) | 67.6 - 80.6 | |
| All districts | |||
| Pre-campaigns (n = 708) | 463 (65.4) | 61.9 - 68.9 | 0.00 |
| Post-campaigns (n = 625) | 519 (83.1) | 80.0 - 86.0 | |
Proportion of children aged 5 years that slept under a net on the night preceding the surveys
| District | Number (%)of children under five that slept under ITN night preceding survey | 95% Confidence Interval | P-value |
|---|---|---|---|
| Bondo | |||
| Pre-campaigns (n = 141) | 95 (67.4) | 60.0 - 75.0 | |
| Post-campaigns (n = 135) | 108 (80.0) | 73.3 - 86.7 | 0.02 |
| Gucha | |||
| Pre-campaigns (n = 198) | 114 (57.6) | 50.7 - 64.5 | 0.05 |
| Post-campaigns (n = 180) | 121 (67.2) | 60.4 - 74.1 | |
| Makueni | |||
| Pre-campaigns (n = 138) | 64 (46.4) | 38.1 - 54.7 | 0.00 |
| Post-campaigns (n = 129) | 95 (73.6) | 66.0 - 81.2 | |
| Kwale | |||
| Pre-campaigns (n = 252) | 92 (36.5) | 30.6 - 42.5 | |
| Post-campaigns (n = 266) | 129 (48.5) | 42.5 - 54.5 | 0.006 |
| All districts | |||
| Pre-campaigns (n = 729) | 365 (50.1) | 46.4 - 53.7 | 0.00 |
| Post-campaigns (n = 710) | 453 (63.8) | 60.3 - 67.3 | |
ITNs suppliers and the types of nets available in the study settings
| Supplier | Sources of ITNs | Shape | Colour | Price |
|---|---|---|---|---|
| Public health facilities | District hospital | Rectangle | White | Free when available |
| Rectangle | Blue | KES 50 | ||
| NGOs | NGOs head quarters | Rectangle and Round | Blue, White and Green | Free |
| CBOs | NGOs, health facilities, manufacturers | Rectangle and Round | Green and blue | KES 20 to 200 depending on source |
| Commercial retail sector | Manufacturers, wholesalers and NGOs (PSI) | Round and Rectangle | Blue and White | KES 300 to 450 |
Figure 2A summary of factors influencing access to ITNs ownership and use. Source: adopted from McIntyre et al., 2009.