| Literature DB >> 29202097 |
Isabella A Quakyi1, George O Adjei2, David J Sullivan3, Judith K Stephens1, Amos Laar4, Vivian N Ama Aubyn5, Richmond Owusu6, Kwame S Sakyi7, Nathaniel Coleman1, Francis D Krampa8, Linda Vanotoo9, Julliette Tuakli10, Bernard B Bortei1, Edward Essuman1, Felix Sorvor1, Isaac A Boateng11, Constance Bart-Plange8, Ebenezer A Addison12, Peter Winch7, Andrew A Adjei13.
Abstract
BACKGROUND: Malaria is one of the most challenging public health concerns in the developing world. To address its impact in endemic regions, several interventions are implemented by stakeholders. The Affordable Medicine Facility-malaria (AMFm) is an example of such interventions. Its activities include communication interventions to enhance the knowledge of caregivers of children under five years, licensed chemical sellers (LCS) and prescribers on malaria management with artemisinin-based combination therapy (ACT). This study was conducted to evaluate the effectiveness of the AMFm activities on malaria among targeted groups in two rural communities in Ghana.Entities:
Year: 2017 PMID: 29202097 PMCID: PMC5683319 DOI: 10.1186/s41256-017-0048-5
Source DB: PubMed Journal: Glob Health Res Policy ISSN: 2397-0642
Fig. 1CHAI ACTm poster on malaria management
Fig. 2Final Household Survey: Exposure to Community Intervention Activities by CHOs/CBSV
Fig. 3LCS information given to caregivers on anti-malarials purchased for children
Fig. 4Final Household Survey: Preparation and administration of dispersible anti-malarial drugs
Caregivers knowledge on anti-malarials and malaria management
| Asante-Akim North | Asante-Akim South |
| |
|---|---|---|---|
| What medicine will you recommend to a family member to give his/her child if the child had malaria? |
|
| |
| -Monotherapy | 117(17.3) | 186(30.4) | <0.001 |
| -ACTs | 470(69.1) | 314(51.2) | |
| -Other | 93(13.6) | 113(18.4) | |
| When buying an anti-malaria drug, do you look for any logo on the package of the medicine? |
|
| |
| Yes | 484(68.6) | 318(48.3) |
|
| No | 222(31.4) | 341(51.7) | |
| What logo do you look for? |
|
| |
| AMFm green leaf logo | 330(68.2) | 131(41.2) |
|
| Mosquito | 98(20.2) | 165(51.9) | |
| Mosquito in a target | 22(4.5) | 10(3.1) | |
| Others | 34(15.1) | 12(3.8) |
Characteristics of respondents who purchased anti-malarial for their children
| Characteristics of population sampled in the study districts | |||
| Asante-Akim North | Asante-Akim South |
| |
|
|
| ||
| Age of Study Participant | |||
| 18–25 | 163 (23.1) | 218 (33.1) | <0.001 |
| 26–35 | 360 (51.0) | 299 (45.4) | |
| 36–45 | 126 (17.8) | 91 (13.8) | |
| Above 45 | 57 (8.1) | 51 (7.7) | |
| Gender of parent/caretaker | |||
| Male | 92 (13.0) | 136 (20.6) | <0.001 |
| Female | 614 (87.0) | 523 (79.4) | |
| Education | |||
| Primary | 230 (32.5) | 291 (44.2) | <0.001 |
| Secondary | 377 (53.4) | 279 (42.4) | |
| Tertiary | 48 (6.8) | 40 (6.1) | |
| None | 51 (7.3) | 49 (7.4) | |
| Characteristics and symptoms of children whose parents/guardians purchased anti-malarials | |||
| Asante-Akim North | Asante-Akim South |
| |
| Age of child |
|
| |
| Under 5 years | 561 (95.1) | 425 (85.7) | <0.001 |
| 5 and Above | 29 (4.9) | 71 (14.3) | |
| Sex of the child |
|
| |
| Male | 316 (51.8) | 215 (42.6) | <0.01 |
| Female | 294 (48.2) | 290 (57.4) | |
| Sick within past 2 weeks |
|
| |
| Yes | 242 (42.3) | 214 (46.4) | 0.186 |
| No | 330 (57.7) | 247 (53.6) | |
| Fever within past 2 weeks |
|
| |
| Yes | 240 (42.0) | 226 (49.8) | <0.01 |
| No | 332 (58.0) | 228 (50.2) | |
Fig. 5First step taken to prepare the dispersible for child
Predictors of exposure to malaria and ACTm intervention and knowledge on malaria management
| Exposure | Knowledge | |||
|---|---|---|---|---|
| Predictors | OR | 95% CI | OR | 95% CI |
| District | ||||
| Asante Akim North | 16.02*** | 7.88–32.55 | 3.63*** | 2.52–5.23 |
| Asante Akim South |
|
| ||
| Gender | ||||
| Male | 1.44 | 0.53–3.93 | 1.35 | 0.77–2.36 |
| Female | ||||
| Age | ||||
| 18–25 |
|
| ||
| 26–35 | 1.07 | 0.31–3.73 | 1.85 | 0.91–3.75 |
| 36–45 | 1.18 | 0.35–3.97 | 1.58 | 0.81–3.07 |
| Above 45 | 1.56 | 0.39–6.30 | 1.46 | 0.69–3.14 |
| Education level | ||||
| None |
|
| ||
| Primary | 1.747 | 0.31–9.71 | 0.50 | 0.05–4.53 |
| Secondary | 1.351 | 0.43–4.30 | 0.72 | 0.09–6.05 |
| Tertiary | 0.667 | 0.21–2.13 | 0.55 | 0.07–4.61 |
| Cox & Snell R Square | 0.23 | 0.08 | ||
***P-value <0.01
Ref - Reference for OR calculations