| Literature DB >> 34970407 |
Waheed Adeola Adedeji1,2, AbdulKabir Babajide Adegoke3, Fatai Adewale Fehintola1,2.
Abstract
INTRODUCTION: timely adverse drug reactions (ADRs) reporting has contributed immensely towards public health safety. Community health extension workers (CHEWs) provides basic medical care in rural areas. This study assessed the knowledge, attitude, practice, and determinants of ADRs reporting among CHEWs in public health institutions, Southwest, Nigeria.Entities:
Keywords: Attitude; Nigeria; adverse drug reactions; community health workers; health facilities; knowledge
Mesh:
Year: 2021 PMID: 34970407 PMCID: PMC8683451 DOI: 10.11604/pamj.2021.40.165.28574
Source DB: PubMed Journal: Pan Afr Med J
sociodemographic characteristics of community health extension workers in public health facilities, South-West Nigeria
| Variables | Frequency (%) |
|---|---|
|
| |
| Male | 72(21.6) |
| Female | 261(78.4) |
|
| |
| 20-29 | 15(4.5) |
| 30-39 | 95(28.5) |
| 40-49 | 110(33.0) |
| 50-69 | 113(33.9) |
|
| |
| Single | 18(5.4) |
| Married | 301(90.4) |
| Formerly married* | 14(4.2) |
|
| |
| 1-10 | 79(23.9) |
| 11-20 | 121(36.5) |
| 21-30 | 90(27.2) |
| 31-40 | 41(12.4) |
|
| |
| Primary | 183(55.0) |
| Secondary | 109(45.0) |
|
| |
| Ibadan | 109(32.7) |
| Ogbomoso | 42(12.6) |
| Ibarapa | 68(20.5) |
| Okeogun | 39(11.7) |
| Oyo | 75(22.5) |
|
| |
| Yes | 102(30.6) |
| No | 231(69.4) |
Formerly married include widowed, divorced and separated
factors associated with the knowledge of community health extension workers on adverse drug reactions reporting, South-West, Nigeria
| Variables | Adequate Knowledge Number (%) | Inadequate Knowledge Number (%) | COR (95% CI) | p-value | aOR (95% CI) | P-value |
|---|---|---|---|---|---|---|
|
| ||||||
| Male | 51(70.8) | 21(29.2) | 2.84(2.10, 7.10) | <0.0001 | ||
| Female* | 91(3.9) | 170(65.1) | 4.5(2.30, 8.01) | <0.0001 | 1 | |
|
| ||||||
| Primary | 63(34.4) | 120(65.6) | 0.58(0.34, 1.00) | 0.05 | ||
| Secondary* | 79(52.7) | 71(47.3) | 0.47(0.30, 0.73) | 0.001 | 1 | |
|
| ||||||
| Ibadan* | 48(44.0) | 61(56.0) | 1 | |||
| Ogbomoso | 8(19.0) | 34(81.0) | 0.007 | 3.3(1.34, 8.21) | 0.01 | |
| Ibarapa | 36(52.9) | 32(47.1) | 1.19(0.56,2.51) | 0.656 | ||
| Okeogun | 14(35.9) | 25(64.1) | 0.99(0.44, 2.3) | 0.977 | ||
| Oyo | 36(48.0) | 39(52.0) | 1.05(0.55, 2.01) | 0.877 | ||
|
| ||||||
| Yes | 54(52.9) | 48(47.1) | 2.01(1.18, 3.42) | 0.010 | ||
| No* | 88(38.1) | 143(61.9) | 1.83(1.14, 2.93) | 0.016 | 1 | |
|
| ||||||
| Single | 8(44.4) | 10(55.6) | ||||
| Married | 134(42.5) | 181(57.5) | 1.08(0.42, 2.80) | 0.53 | ||
|
| ||||||
| <40 years | 49(44.5) | 61(55.5) | ||||
| ≥ 40 years | 93(41.7) | 130(58.3) | 1.12(0.71, 1.78) | 0.639 | ||
|
| ||||||
| ≤ 10 years >10 years | 39(48.1) 103(40.9) | 42(51.9) 149(59.1 | 1.34(0.81, 2.2) | 0.302 | ||
Reference categories, COR: crude odds ratio, aOR: adjusted odds ratio, 95% CI: 95% confidence interval
factors associated with positive attitude of community health extension workers on adverse drug reactions reporting, South-west Nigeria
| Variables | Positive Attitude Number (%) | Negative Attitude Number (%) | COR (95% CI) | P-value | aOR (95% CI) | P-value |
|---|---|---|---|---|---|---|
|
| ||||||
| Male | 45(62.5) | 27(37.5) | 1.8(1.1, 3.2) | 1.57(0.87, 2.83) | 0.134 | |
| Female* | 124(47.5) | 137(52.5) | 0.03 | 1 | ||
| Ibadan* | 62(56.9) | 47(43.1) | 1 | |||
| Ogbomoso | 18(42.9) | 24(57.1) | <0.001 | 1.70(0.8, 3.5) | 0.178 | |
| Ibarapa | 32(47.1) | 36(52.9) | 1.84(0.91, 3.8) | 0.165 | ||
| Okeogun | 8(20.5) | 31(79.5) | 4.51(1.9, 11.01) | 0.001 | ||
| Oyo | 49(65.3) | 26(34.7) | 0.73(0.39, 1.4) | 0.336 | ||
|
| ||||||
| Single | 9(50) | 9(50) | ||||
| Married | 160(50.8) | 155(49.2) | 0.97(0.40, 2.51) | 0.569 | ||
|
| ||||||
| <40 years | 61(55.5) | 49(44.5) | 0.245 | |||
| ≥ 40 years | 108(48.4) | 115(51.6) | 1.33(0.84, 2.1) | |||
|
| ||||||
| Primary | 86(47.0) | 97(53.0) | 0.72(0.464, 1.104) | 0.08 | ||
| Secondary | 83(55.3) | 67(44.7) | ||||
|
| ||||||
| ≤ 10 years | 43(53.1) | 38(46.9) | 1.1(0.69, 1.90) | 0.702 | ||
| >10 years | 126(50.0) | 126(50.0) | ||||
|
| ||||||
| Yes | 60(58.8) | 42(41.2) | 1.6(0.99, 2.60) | 0.057 | ||
| No | 109(47.2) | 122(52.8) |
Reference categories, COR: crude odds ratio, aOR: adjusted odds ratio 95% CI: 95% confidence interval
adverse drug reactions reporting practices of the community health extension workers in public health facilities, South-west Nigeria
| Questions | Category | Frequency | Percentage |
|---|---|---|---|
| Have you ever encountered patients with ADRs in your practice? | Yes | 205 | 61.6 |
| No | 128 | 38.4 | |
| If yes, have you ever reported it with ADRs form? | Yes | 26 | 12.6 |
| No | 179 | 87.4 | |
| When last did you encounter the patients with ADRs? | Last one month | 8 | 3.9 |
| Last one year | 170 | 82.9 | |
| Last two years | 27 | 13.2 | |
| What are drugs suspected to cause the ADRs encountered? N=57 | Chloroquine | 23 | 40.4 |
| Amodiaquine | 6 | 10.5 | |
| Cotrimoxazole | 7 | 12.3 | |
| Procaine penicillin | 6 | 10.5 | |
| Antibiotics* | 8 | 14.0 | |
| Ivermectin (MectizanR) | 5 | 8.8 | |
| Drugs’interaction | 2 | 3.5 | |
| How do you manage the ADRs encountered? N=53 | Discontinuation of suspected drug | 9 | 17.0 |
| Discontinuation of suspected drug and administration of hydrocortisone | 11 | 20.8 | |
| Hydrocortisone administration | 4 | 7.5 | |
| Hydrocortisone and intravenous fluid | 8 | 15.1 | |
| Chlorpheniramine administration | 12 | 22.6 | |
| Intravenous fluid | 9 | 17.0 | |
| Do you consider the possibility of ADRs before prescribing, dispensing, or administering drugs? | Always | 192 | 57.7 |
| Sometimes | 91 | 27.3 | |
| Never | 50 | 15.0 | |
| Do you obtain information on ADRs regularly? | Yes | 132 | 30.6 |
| No | 231 | 69.4 | |
| If yes, sources of regular information on ADRs N=132 | Ministry of health drug | 43 | 32.8 |
| Information bulletin | 55 | 42.4 | |
| Drug information sheet | 17 | 12.4 | |
| Textbooks on drugs and therapeutics | 13 | 9.5 | |
| Drug sales representatives scientific journals | 4 | 2.9 | |
| Have you ever been trained on ADRs reporting | Yes | 102 | 30.6 |
| No | 231 | 69.4 | |
| If yes, sources of training N=59 | School | 10 | 17.0 |
| Part of routine immunization training | 8 | 13.5 | |
| National malaria control program | 33 | 56.0 | |
| Seminar/workshop | 7 | 11.8 | |
| National youth service corps (NYSC) | 1 | 1.7 |
factors associated with adverse drug reactions reporting by the community health extension workers, South-west Nigeria
| Variables | Reporting ADR Number (%) | Not Reporting ADR Number (%) | COR (95% CI) | p-value | AOR (95% CI) | P-value |
|---|---|---|---|---|---|---|
|
| ||||||
| Male | 9(34.6) | 17(65.4) | 2.79(0.65, 11.93) | |||
| Female | 13(16.3) | 67(83.8) | 2.73(1.001, 7.44) | 0.045 | 1 | 0.166 |
|
| ||||||
| <40 years | 14(35.9) | 25(64.1) | 4.13(1.54, | 0.004 | 6.38(0.78, 51.95) | 0.083 |
| ≥ 40 years | 8(11.9) | 59(88.1) | 11.10) | 1 | ||
|
| ||||||
| ≤ 10 years | 9(34.6) | 17(65.4) | 2.73(1.001, | 0.046 | 1.57(0.31, 7.95) | |
| >10 years | 13(16.3) | 67(83.8) | 7.44) | 1 | 0.588 | |
|
| ||||||
| Yes | 13(37.1) | 22(62.9) | 4.07(1.53, | 0.005 | 3.63(1.13, 11.63) | 0.030 |
| No | 9(12.7) | 62(87.3) | 10.84) | 1 | ||
|
| ||||||
| Single | 1(11.1) | 8(88.9) | 0.45(0.05, 3.82) | 0.404 | ||
| Married | 21(21.6) | 76(78.4) | ||||
|
| ||||||
| Primary | 7(18.9) | 30(81.1) | 0.84(0.31, 2.29) | 0.470 | ||
| Secondary | 15(21.7) | 54(78.3) | ||||
|
| ||||||
| Ibadan | 6(18.8) | 26(81.3) | ||||
| Ogbomoso | 4(30.8) | 9(69.2) | 0.452 | |||
| Ibarapa | 7(25.9) | 20(74.1) | ||||
| Okeogun | 0(0.0) | 9(100.0) | ||||
| Oyo | 5(20.0) | 20(80.0) | ||||
|
| ||||||
| Adequate | 13(37.1) | 48(78.7) | 1.08(0.42, 2.81) | 0.534 | ||
| Inadequate | 9(20) | 36(80.0) | ||||
|
| ||||||
| Positive | 14(21.5) | 51(78.5) | 1.13(0.43, 3.0) | |||
| Negative | 8(19.5) | 33(80.5) |
Reference categories, COR: Crude Odds Ratio, aOR: Adjusted Odds Ratio 95% CI:95% Confidence Interval