| Literature DB >> 32746914 |
Mary Y Kodaolu1, Adeniyi F Fagbamigbe2, IkeOluwapo O Ajayi2.
Abstract
BACKGROUND: Policymakers have recognized that proprietary patent medicine vendors (PPMVs) can provide an opportunity for effective scaling up of artemisinin-based combination therapy (ACT) since they constitute a major source of malaria treatment in Nigeria. This study was designed to determine the stocking pattern for anti-malarial medications, knowledge of the recommended anti-malarial medicine among PPMVs in Akinyele Local Government Area (LGA) of Oyo State, Nigeria and their perception on ways to improve PPMV adherence to stocking ACT medicines.Entities:
Keywords: Artemisinin-based combination therapy (ACT); Knowledge; Perception; Proprietary patent medicine vendors; Recommended anti-malarial; Stocking
Mesh:
Substances:
Year: 2020 PMID: 32746914 PMCID: PMC7398199 DOI: 10.1186/s12936-020-03350-1
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Map showing the location of Akinyele Local Government Area within Oyo State of Nigeria
Socio-demographic characteristics of respondents
| Variables | Frequency (n) | Percentage (%) |
|---|---|---|
| Age group (years) | ||
| 20–24 | 25 | 7.8 |
| 25–29 | 98 | 30.6 |
| 30–34 | 106 | 33.1 |
| 35–39 | 63 | 19.7 |
| ≥ 40 | 28 | 8.8 |
| Gender | ||
| Female | 309 | 96.6 |
| Male | 11 | 3.4 |
| Location of outlet | ||
| Urban | 160 | 50.0 |
| Rural | 160 | 50.0 |
| Marital status | ||
| Married | 297 | 92.8 |
| Single | 22 | 6.9 |
| Widowed | 1 | 0.3 |
| Religion | ||
| Islam | 209 | 65.3 |
| Christianity | 110 | 34.4 |
| Traditional | 1 | 0.3 |
| Highest level of education | ||
| Primary | 3 | 0.9 |
| Secondary | 265 | 82.8 |
| Tertiary | 52 | 16.3 |
| Health-related qualification | ||
| Not qualified | 306 | 95.6 |
| Qualified | 14 | 4.4 |
| Health qualification acquired | ||
| Junior community health worker | 7 | 50.0 |
| Nurse/midwife | 3 | 21.4 |
| Not specified | 3 | 21.4 |
| Community health worker | 1 | 7.2 |
| Years of experience as PPMV (years) | ||
| 1–5 | 150 | 46.9 |
| 6–10 | 115 | 35.9 |
| > 10 | 55 | 17.2 |
| Training on malaria treatment | ||
| Received training | 144 | 45.0 |
| Not received training | 176 | 55.0 |
| Number of staff in a PPMV outlet | ||
| One | 269 | 84.1 |
| Two | 38 | 11.9 |
| Three | 13 | 4.0 |
| Other jobs aside PPMV | ||
| No other job | 274 | 85.6 |
| Have other jobs | 46 | 14.4 |
Types of anti-malarial medication stocked by location
| Antimalarial | Stock status | Urban n (%) | Rural n (%) | Total | p-value | |
|---|---|---|---|---|---|---|
| ACT | ||||||
| Artemether | Out-of-stock | 15 (9.4) | 14 (8.8) | 29 | 0.038 | 0.846 |
| Lumefantrine | In-stock | 145 (90.6) | 146 (91.2) | 291 | ||
| Artesunate | Out-of-stock | 159 (99.4) | 152 (95.0) | 311 | 5.602 | 0.018* |
| Amodiaquine | In-stock | 1 (0.6) | 8 (5.0) | 9 | ||
| Dihydroartemisinin | Out-of-stock | 151 (94.4) | 152 (95.0) | 303 | 0.062 | 0.803 |
| Piperaquine | In-stock | 9 (5.6) | 8 (5.0) | 17 | ||
| AMT | ||||||
| Artesunate | Out-of-stock | 152 (95.0) | 147 (91.9) | 299 | 1.274 | 0.259 |
| In-stock | 8 (6.0) | 13 (8.1) | 21 | |||
| Artemether | Out-of-stock | 156 (97.5) | 139 (86.9 | 295 | 12.540 | ˂ 0.01* |
| In-stock | 4 (2.5) | 21 (13.1) | 25 | |||
| NAMT | ||||||
| Sulfadoxine | Out-of-stock | 8 (5.0) | 12 (7.5) | 20 | 0.853 | 0.356 |
| Pyrimethamine | In-stock | 152 (95.0) | 148 (92.5) | 300 | ||
| Chloroquine | Out-of-stock | 146 (91.2) | 101 (63.1) | 247 | 35.938 | ˂ 0.01* |
| In-stock | 14 (8.8) | 59 (36.9) | 73 | |||
| Quinine | Out-of-stock | 158 (98.8) | 160 (100.0) | 318 | 2.013 | 0.156 |
| In-stock | 2 (1.2) | 0 | 2 | |||
| Halofantrine | Out-of-stock | 159 (99.4) | 157 (98.1) | 316 | 1.013 | 0.314 |
| In-stock | 1 (0.6) | 3 (1.9) | 4 | |||
ACT artemisinin combination therapy, AMT artemisinin monotherapy, NAMT non-artemisinin monotherapy
* Significant p-value
Frequency of stocking anti-malarial medication by PPMVs
| Variable | Monthly | Frequency | Percentage (%) |
|---|---|---|---|
| Frequency of stocking most sold anti-malarial medication | ≤ 5 times | 150 | 47.6 |
| 6–10 times | 148 | 47.0 | |
| > 10 times | 17 | 5.4 | |
| Frequency of stocking any anti-malarial medication | ≤ 5 times | 152 | 48.3 |
| 6–10 times | 143 | 45.4 | |
| > 10 times | 20 | 6.3 | |
| Frequency of stocking ACT | ≤ 5 times | 184 | 58.0 |
| 6–10 times | 118 | 37.2 | |
| > 10 times | 15 | 4.7 |
Knowledge of PPMVs on the recommended anti-malarial medication
| Knowledge variables | Responses | Frequency | Percentage (%) |
|---|---|---|---|
| Knowledge of AL as first-line treatment for uncomplicated malaria | Correct knowledge | 308 | 96.3 |
| Incorrect knowledge | 6 | 1.9 | |
| Don’t know | 6 | 1.9 | |
| Knowledge of ASAQ as alternate treatment for uncomplicated malaria | Correct knowledge | 9 | 2.8 |
| Incorrect knowledge | 279 | 87.2 | |
| Don’t know | 32 | 10.0 | |
| Knowledge of national recommended guideline for malaria diagnosis | Correct knowledge | 8 | 2.5 |
| Incorrect knowledge | 53 | 16.6 | |
| Don’t know | 259 | 80.9 | |
| Microscopy test should be done before dispensing anti-malarial | No | 210 | 78.4 |
| Yes | 58 | 21.6 | |
| Rapid diagnostic test should be done before dispensing anti-malarial | No | 74 | 27.6 |
| Yes | 194 | 72.4 | |
| Test should be done using a thermometer before dispensing anti-malarial | No | 261 | 97.4 |
| Yes | 7 | 2.6 |
Knowledge score of PPMVs on recommended anti-malarial medications
| Knowledge score (KS) | Frequency | Percentage (%) |
|---|---|---|
| Good knowledge (KS ≥ 3) | 204 | 63.8 |
| Poor knowledge (KS˂3) | 116 | 36.3 |
| Total | 320 | 100 |
Fig. 2Respondents’ knowledge of recommended anti-malarial medication
Factors influencing the types of anti-malarial medications stocked by PPMVs
| Factors* | Frequency | Percentage (%) |
|---|---|---|
| Consumer demand | 285 | 89.1 |
| Recommended by the government | 254 | 79.4 |
| Lowest priced | 102 | 31.9 |
| Prescribed most often by doctor | 94 | 29.4 |
| Amount of cash available | 53 | 16.6 |
| Expiration dates | 39 | 12.2 |
| Levels of remaining stock | 23 | 7.2 |
| Drug company/sales rep influence | 9 | 2.8 |
| Most profitable | 7 | 2.2 |
| Brand reputation | 7 | 2.2 |
| Easily available | 6 | 1.9 |
| Provider incentives | 1 | 0.3 |
* Multiple responses
Predictors of stocking of AL-ACT by PPMVs
| Variables | Artemether (AL) in yes n (%) | Lumefantrine stock no n (%) | OR (95% CI) | |
|---|---|---|---|---|
| Level of education | ||||
| Tertiary (ref) | 239 (89.2%) | 29 (10.8%) | ||
| Below tertiary | 52 (100.0%) | 0 (0.0%) | 6.19 (0.013)* | 1 |
| Years of experience as a PPMV | ||||
| ≤ 5 years (ref) | 131 (87.9%) | 18 (12.1%) | ||
| More than 5 years | 159 (93.5%) | 11 (6.5%) | 3.02 (0.082) | 1.99 (0.91–4.35) |
| PPMV knew AL is the government recommended anti-malarial for uncomplicated malaria | ||||
| Correct knowledge (ref) | 282 (91.6%) | 26 (8.4%) | ||
| Incorrect knowledge | 9 (75.0%) | 3 (25.0%) | 3.84 (0.050) | 0.28 (0.07–1.09) |
Ref reference category
* Significant p-value
Predictors of stocking of ASAQ-ACT by PPMVs
| Variables | Artesunate (ASAQ) yes n (%) | Amodiaquine in stock no n (%) | OR (95% CI) | |
|---|---|---|---|---|
| Outlet type | ||||
| Urban (ref) | 1 (0.6) | 159 (99.4) | ||
| Rural | 8 (5.0) | 152 (95.0) | 5.60 (0.018) * | 8.37 (1.03–67.71) |
| Training on malaria treatment in the last 12 months | ||||
| Not received training (ref) | 2 (1.1) | 174 (98.9) | ||
| Received training | 7 (4.9) | 137 (95.1) | 4.02 (0.045) | 4.45 (0.91–21.74) |
| PPMV knew ASAQ is the alternate anti-malarial recommended by the government for uncomplicated malaria | ||||
| Correct knowledge (ref) | 2 (22.2) | 7 (77.8) | ||
| Incorrect knowledge | 7 (2.3) | 304 (97.7) | 12.76 (0.001) * | 0.08 (0.01–0.46) |
| Government agencies as source of information on government recommended anti-malarial medication | ||||
| No (ref) | 8 (2.5) | 307 (97.5) | ||
| Yes | 1 (20.0) | 4 (80.0) | 5.49 (0.019) * | 9.59 (0.96–95.78) |
| PPMV knew the national recommended guideline for malaria diagnosis | ||||
| Incorrect knowledge (ref) | 8 (2.6) | 304 (97.4) | ||
| Correct knowledge | 1 (12.5) | 7 (87.5) | 2.82 (0.093) | 5.43 (0.60––49.47) |
Ref reference category
* Significant p-value
Predictors of stocking of DHAPQ-ACT by PPMVs
| Variables | Dihydroartemisinin (DHAPQ) in yes n (%) | Piperaquine stock no n (%) | OR (95% CI) | |
|---|---|---|---|---|
| Health-related qualification | ||||
| No health qualification (ref) | 14 (4.6) | 292 (95.4) | ||
| Has health qualification | 3 (21.4) | 11 (78.6) | 7.56 (0.006)* | 5.69 (1.42–22.72) |
| Manufacturer as the source of purchase of anti-malarial | ||||
| No (ref) | 16 (5.1) | 300 (94.9) | ||
| Yes | 1 (25.0) | 3 (75.0) | 3.12 (0.077) | 6.25 (0.62–63.49) |
| Sales representatives as a source of information on government recommended anti-malarial medication | ||||
| No (ref) | 14 (4.6) | 289 (95.4) | ||
| Yes | 3 (17.6) | 14 (82.4) | 5.43 (0.020)* | 4.42 (1.14–17.19) |
| PPMV knew the national recommended guideline for malaria diagnosis | ||||
| Incorrect knowledge (ref) | 15 (4.8) | 297 (95.2) | ||
| Correct knowledge | 2 (25.0) | 6 (75.0) | 6.32 (0.012)* | 6.60 (1.23–35.49) |
| PPMV used malaria diagnostic tool | ||||
| No (ref) | 14 (4.7) | 286 (95.3) | ||
| Yes | 3 (15.0) | 17 (85.0) | 3.98 (0.046) | 3.61 (0.94–13.76) |
Ref reference category
* Significant p-value