| Literature DB >> 35197060 |
Ross M Boyce1,2, Enid Muhindo3, Emmanuel Baguma3, Rabbison Muhindo3, Bwambale Shem4, Ruthly François5, Sam Hawke6, Bonnie E Shook-Sa6, Moses Ntaro3, Aisha Nalusaji7, Dan Nyehangane7,8, Raquel Reyes9, Jonathan J Juliano10,5, Mark J Siedner11, Sarah G Staedke12, Edgar M Mulogo3.
Abstract
BACKGROUND: Progress against malaria has stalled and may even be slipping backwards in high-burden countries. This is due to a range of factors including insecticide resistance and mosquito feeding behaviours that limit contact with widely-employed interventions including long-lasting insecticidal nets and indoor-residual spraying. Thus, further innovations in malaria control are urgently needed.Entities:
Keywords: Insecticide-treated clothing; Malaria; Permethrin; Plasmodium; Prevention
Mesh:
Substances:
Year: 2022 PMID: 35197060 PMCID: PMC8864600 DOI: 10.1186/s12936-022-04086-w
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Ugandan woman carrying child in traditional lesu. Credit Robert Ditty
Fig. 2Map of study area in reference to Uganda
Eligibility criteria for study participation
| Criteria | Rationale | |
|---|---|---|
| 1 | Mother ≥ 18 years of age | Age required to provide written informed consent |
| 2 | Child 6–18 months of age | Lesu use declines after 24 months of age |
| 3 | Resident of one of four villages in the subcounty | Villages with relatively high malaria transmission and in close proximity to the health center |
| 4 | HIV negative | Women living with HIV and HIV-exposed children likely to be taking cotrimoxazole prophylaxis, which may impact risk of malaria |
| 5 | Willing to provide written informed consent and adhere to protocols | Required for all studies in accordance with applicable guidelines and regulations governing research |
Schedule of data collection activities to include questionnaires and laboratory testing
| Study encounter | ||||||||
|---|---|---|---|---|---|---|---|---|
| Home visit | Baseline | Week 2 | Week 4 | Week 6 | Week 8 | Week 10 | Week 12 | |
| Baseline survey | X | |||||||
| HIV-1/2 RDT | X | |||||||
| Venous blood | X | X | ||||||
| Haemoglobin | X | X | ||||||
| Exit interview | X | |||||||
| Health update | X | X | X | X | X | X | X | |
| Exam | X | X | X | X | X | X | X | |
| Height/weight | X | X | ||||||
| MUAC | X | X | ||||||
| Venous blood | X | X | ||||||
| Haemoglobin | X | X | ||||||
| Malaria RDT | X | X | ||||||
| DBS | X | X | ||||||
| Capillary blood | X | X | X | X | X | |||
| Malaria RDT | X | X | X | X | X | |||
| DBS | X | X | X | X | X | |||
| Treatment | X | |||||||
| Re-treatment | X | X | ||||||
Fig. 3CONSORT Flow Diagram
Baseline characteristics of study participants including both mothers and children
| Control group | Intervention group | |
|---|---|---|
| N = 26 | N = 24 | |
| Age (median, IQR) | 26 (23–31) | 24 (21–26.3) |
| Highest level of school (n, %) | ||
| Primary | 14 (58.3) | 15 (62.5) |
| Secondary | 10 (41.7) | 6 (25.0) |
| High School or University | 0 (0.0) | 3 (12.5) |
| Reading ability (n, %) | ||
| Unable to read card | 6 (24.0) | 2 (8.7) |
| Able to read parts of sentence | 9 (36.0) | 13 (60.9) |
| Able to read whole sentence | 10 (40.0) | 7 (30.4) |
| Number of births (median, IQR) | 4 (1–5) | 3 (1–4) |
| Took IPTp during this pregnancy | 25 (96.2) | 24 (100) |
| Number of doses of IPTp (median, IQR) | 3 (2.75–4) | 3 (3–4) |
| Ever hospitalized (n, %) | 8 (32.0) | 6 (26.1) |
| Take any medication every day (n, %) | 0 (0) | 1 (4.2) |
| Hb level (g/dL) | 13.0 (12.1–14.2) | 12.9 (12.5–13.7) |
| Weight (kg) | 9.0 (7.9–9.5) | 8.4 (8.0–9.3) |
| MUAC (cm) | 15.2 (14.2–16) | 14.4 (13.9–15.0) |
| Hb level (g/dL) | 10.1 (9.5–10.8) | 10.3 (9.9–10.8) |
| Slept under net last night (n, %) | 25 (96.2) | 21 (87.5) |
| Fever in last 2 weeks (n, %) | 10 (38.5) | 12 (50.0) |
| Earthen or sand floor? | 14 (53.8) | 14 (58.3) |
| Electricity in the house? | 6 (24.0) | 4 (18.2) |
| Source of water in the house or yard? | 9 (34.6) | 6 (25.0) |
| Own a mobile phone? | 23 (92.0) | 18 (85.7) |
| Own any livestock? | 17 (68.0) | 16 (72.7) |
| Have a bank account? | 15 (60.0) | 9 (40.9) |
| Number of LLINs in home (median, IQR) | 1 (1–2) | 2 (1–2) |
Hb haemoglobin, IQR interquartile range, LLIN long-lasting insecticidal net, MUAC mid-upper arm circumference
Summary of reported lesu use and outcomes of interest
| N = 26 | N = 24 | |
|---|---|---|
| Adverse events (n, %) | ||
| Child | 0 (0) | 1 (4.2) |
| Mother | 0 (0) | 0 (0) |
| Attendance (n, %) | ||
| Median number of follow-up visits (IQR) | 6 (6–6) | 6 (5–6) |
| Completed both re-treatments | 25 (96.2) | 21 (87.5) |
| Completed exit Interview | 26 (100.0) | 21 (87.5) |
| Completed all visits | 25 (96.2) | 18 (75.0) |
| Daily use of | ||
| Carry child on back | 26 (100.0) | 21 (100.0)* |
| Blanket/swaddle for sleep | 6 (23.1) | 11 (52.4)* |
| Blanket for sitting | 0 (0) | 0 (0) |
| Washing (median, IQR) | ||
| Reported washes per 2-week period | 4.0 (2.3–6.0) | 4.0 (3.0–6.0) |
| Satisfaction (n, %) | ||
| Would recommend | 26 (100.0) | 21 (100.0)* |
| Would be willing to pay more for | 26 (100.0) | 21 (100.0)* |
| Illness (events per 100 person-weeks, 95% CI) | ||
| Fever | 7.0 (4.2–11.1) | 8.1 (5.0–12.4) |
| Care seeking for any cause | 17.0 (12.5–22.7) | 16.8 (12.1–22.7) |
| Malaria treatment received | 3.0 (1.3–5.8) | 6.0 (3.4–9.9) |
| Malaria testing | ||
| Incident RDT positives (n) | 5 | 5 |
| RDT positive prevalence (%) | 10.7 | 8.4 |
| PCR Positive (n) | 2 | 0 (0) |
| Change growth measuresa (median, IQR) | ||
| Change in weight (kg) | 0.9 (0.5–1.3) | 0.6 (0.4–0.9) |
| Change in MUAC (cm) | − 0.85 (− 1.2–0.3) | 0.2 (− 0.2–0.7) |
| Change in Hb (g/dL) | 0.88 (0.5–1.3) | 0.78 (0.3–1.2) |
Hb haemoglobin, IQR interquartile range, MUAC mid-upper arm circumference, RDT rapid diagnostic test
aChange computed as 12-week measure minus baseline measure
*Three participants lost to follow-up did not complete exit interview