| Literature DB >> 35057859 |
Morrison Asiamah1, Kwadwo Owusu Akuffo2, Pricillia Nortey1, Nina Donkor3, Anthony Danso-Appiah4,5.
Abstract
BACKGROUND: Spontaneous reporting of adverse drug reactions (ADR) is an effective means of ensuring postmarketing surveillance of drugs, and health professionals play a cardinal role through voluntary reporting of ADR. However, the pharmacovigilance system in Ghana is plagued with under-reporting issues, which is of public health concern.Entities:
Keywords: Adverse drug reaction; Ghana; Health professionals; Reporting
Year: 2022 PMID: 35057859 PMCID: PMC8772084 DOI: 10.1186/s13690-021-00783-1
Source DB: PubMed Journal: Arch Public Health ISSN: 0778-7367
Fig. 1Trend in adverse event reporting in Ghana from 2015 to 2019
Socio-demographic Characteristics of Health professionals from Kpone-Katamanso District, Ghana
| Background Characteristics | Mean, (SD) | Number | Percentage (%) |
|---|---|---|---|
| Male | 119 | 44.4 | |
| Female | 149 | 55.6 | |
| Less than 30 | 76 | 28.36 | |
| 30–39 | 34.13, (0.472) | 139 | 51.87 |
| 40–49 | 39 | 14.55 | |
| 50–59 | 8 | 2.99 | |
| Greater than 59 | 6 | 2.24 | |
| Medical Officer | 35 | 13.06 | |
| Pharmacist | 21 | 7.84 | |
| Nurse | 93 | 34.7 | |
| Pharm Tech | 53 | 19.78 | |
| Midwife | 31 | 11.57 | |
| Physician Assistant | 32 | 11.94 | |
| Disease Control Officer | 3 | 1.12 | |
| Government | 88 | 32.84 | |
| Private Hospital | 167 | 62.31 | |
| Community Pharmacy | 13 | 4.85 | |
| Christian | 234 | 87.97 | |
| Muslim | 25 | 9.13 | |
| Other | 8 | 3.01 | |
| Less than 10 | 194 | 72.39 | |
| 10–19 | 50 | 18.66 | |
| 20–29 | 18 | 6.72 | |
| Greater or equal to 30 | 6 | 2.24 | |
| Married | 165 | 61.57 | |
| Single | 87 | 32.46 | |
| Divorced | 16 | 5.97 | |
| Yes | 208 | 77.61 | |
| No | 60 | 22.39 | |
| Yes | 36 | 13.43 | |
| No | 232 | 86.57 | |
Simple logistic regression of spontaneous adverse event reporting and related factors
| VARIABLES | COR, 95% CI |
|---|---|
| Socio-Demographic | |
| Sex | |
| Male | 1 |
| Female | 0.77, (0.38–1.56) |
| Age (years) | |
| Less than 30 | 1 |
| 30–39 | 1.63, (0.61–4.31) |
| 40–49 | 2.55, (0.79–8.21) |
| Greater than 50 | |
| Profession | |
| Medical Officer | 1 |
| Pharmacist | 2.17, (0.69–6.84) |
| Nurse | |
| Pharm Tech | |
| Midwife | 0.69, (0.22–2.23) |
| Physician Assistant | 0.30, (0.07–1.22) |
| D. Control Officer | 5.78, (0.47–71.62) |
| Institution | |
| Government | 1 |
| Private Hospital | 1.23, (0.58–2.64) |
| Community Pharmacy | 0.54, (0.06 - 4.53) |
| Religion | |
| Christian | N/A |
| Muslim | 0 |
| Other | 0 |
| Knowledge | |
| Poor | 1 |
| Average | 6.16, (0.80–47.8) |
| Good | |
| VARIABLES | COR, 95% CI |
| Professional Attitudes | |
| Uncertainty about cause of ADR | |
| No | 1 |
| Yes | |
| Lack of Adequate time | |
| No | 1 |
| Yes | |
| Diffident about ADR occurrence | |
| No | 1 |
| Yes | 0.71, (0.34–1.49) |
| Fear of legal repercussions | |
| No | 1 |
| Yes | |
| Extraneous work | |
| No | 1 |
| Yes | 1.20, (0.55–2.54) |
| Ambitious to publish a case report | |
| No | 1 |
| Yes | 0.62, (0.27–1.43) |
| Mistrust in PV system | |
| No | 1 |
| Yes | 0.56, (0.27–1.13) |
| Negligence | |
| No | 1 |
| Yes | 1.0, (0.49–2.03) |
| Diffident about Procedure | |
| No | 1 |
| Yes | |
| Indifferent about reporting | |
| No | 1 |
| Yes | 1.87 (0.87–4.0) |
| Lack of incentives | |
| No | 1 |
| Yes | 0.94, (0.46–1.94) |
| Form of ADR reactions | |
| Seriousness of reaction | |
| No | |
| Yes | N/A |
| Unusual reaction | |
| No | 1 |
| Yes | 1.63 (0.78–3.40) |
| Unknown Reaction to product | |
| No | 1 |
| Yes | 0.95 (0.47–1.92) |
| Stakeholder Factor | |
| Unavailability of reporting forms | |
| No | 1 |
| Yes | |
| Prompt Feedback | |
| No | 1 |
| Yes | |
| PV in curriculum | |
| No | 1 |
| Yes | 1.10 (0.53–2.26) |
| Post-professional PV Training | |
| No | 1 |
| Yes | |
aStatistically significant
COR Crude Odds Ratio
CI Confidence interval
Multivariate logistic regression of spontaneous adverse event reporting and related factors
| VARIABLE | Adj. Odd ratio | 95% CI | |
|---|---|---|---|
| Age (years) | |||
| Less than 30 (Ref) | 1 | ||
| 30–39 | |||
| 40–49 | |||
| Greater than 50 | 2.21 | 0.0925–52.947 | 0.624 |
| Profession | |||
| Medical Officer (Ref) | 1 | ||
| Pharmacist | 1.93 | 0.086–43.16 | 0.67 |
| Nurse | |||
| Pharm Tech | 0.18 | 0.008–4.170 | 0.29 |
| Midwife | 3.31 | 0.161–67.852 | 0.43 |
| Physician Assistant | .20 | 0.0073–5.152 | 0.32 |
| Disease Control Officer | |||
| Knowledge of Professionals | |||
| Poor (Ref) | 1 | ||
| Average | 7.967 | 0.335–189.246 | 0.2 |
| Good | 8.311 | 0.333–207.123 | 0.2 |
| Uncertainty about cause of ADR | |||
| No (Ref) | 1 | ||
| Yes | 0.34 | 0.11–1.06 | 0.06 |
| Time constraint to report ADR | |||
| No (Ref) | 1 | ||
| Yes | |||
| Fear of legal repercussions | |||
| No (Ref) | 1 | ||
| Yes | |||
| Diffident about reporting procedure | |||
| No (Ref) | 1 | ||
| Yes | 0.77 | 0.26–2.33 | 0.65 |
| Unavailability of Reporting form | |||
| No (Ref) | 1 | ||
| Yes | |||
| Feedback from FDA | |||
| No (Ref) | 1 | ||
| Yes | 2.12 | 0.70–6.37 | 0.181 |
| Pharmacovigilance training | |||
| No (Ref) | 1 | ||
| Yes | |||
aStatistically Significant
AORAdjusted Odds Ratio
Fig. 2Expected Forms of Feedback from Pharmacovigilance System
Fig. 3Recommended Ways to improve ADR Among Health Professionals