| Literature DB >> 30857257 |
Peter Yamoah1,2,3, Varsha Bangalee4, Frasia Oosthuizen5.
Abstract
The spontaneous reporting of suspected adverse events following immunization (AEFI) by healthcare professionals (HCPs) is vital in monitoring post-licensure vaccine safety. The main objective of this study was to assess the knowledge and perceptions of AEFIs among healthcare professionals (HCPs) in Africa, using the situation in Ghana as a case study. The study was of a cross-sectional quantitative design, and was carried out from 1 July 2017 to 31 December 2017 with doctors, pharmacists, and nurses as the study participants. A 28-item paper-based questionnaire, delivered by hand to study participants, was the data collection tool in the study. The study was conducted in 4 hospitals after ethical approval was granted. The desired sample size was 686; however, 453 consented to partake in the study. Data were analyzed using SPSS (software version 22, IBM, Armonk, NY, USA), and chi-square and binary logistic regression tests were used for tests of association between HCPs' characteristics and their knowledge and perceptions. Detailed knowledge of AEFIs was ascertained with a set of 9 questions, with 8 or 9 correctly answered questions signifying high knowledge, 5 to 7 correctly answered questions signifying moderate knowledge, and below 5 correctly answered questions signifying low knowledge. A set of 10 questions also ascertained HCPs' positive and negative perceptions of AEFI. Results revealed that knowledge of AEFIs was high in 49 (10.8%) participants, moderate in 213 (47.0%) participants, and low in 191 (42.2%) participants. There was no statistically significant correlation between AEFI knowledge and professions. The highest negative perception was the lack of desire to learn more about how to diagnose, report, investigate, and manage AEFI, whereas the lowest was the lack of belief that surveillance improves public trust in immunization programs. There was a general awareness of AEFIs among HCPs in this study. However, negative perceptions and the lack of highly knowledgeable HCPs regarding AEFIs were possible setbacks to AEFI diagnosis, management, prevention, and reporting. More training and sensitization of HCPs on AEFIs and vaccine safety will be beneficial in improving the situation. Future research should focus on assessing the training materials and methodology used in informing HCPs about AEFIs and vaccine safety.Entities:
Keywords: Vigibase; adverse events following immunizations; healthcare professionals; vaccine pharmacovigilance; vaccine safety
Year: 2019 PMID: 30857257 PMCID: PMC6466096 DOI: 10.3390/vaccines7010028
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Total cadres of each of the healthcare professionals against the desired sample sizes in the various hospitals.
| Hospital | Doctors | Pharmacists | Nurses | |||
|---|---|---|---|---|---|---|
| Total | Needed | Total | Needed | Total | Needed | |
| KATH | 400 | 97 | 60 | 15 | 740 | 180 |
| APH | 96 | 59 | 3 | 3 | 139 | 86 |
| TGH | 120 | 52 | 10 | 6 | 370 | 159 |
| NH | 4 | 3 | 1 | 1 | 35 | 25 |
| Total | 620 | 211 | 74 | 25 | 1284 | 450 |
KATH: the Komfo Anokye Teaching Hospital; APH: the Agogo Presbyterian Hospital; TGH: the Tema General Hospital; NH: the Nigale Hospital.
Socio-demographic characteristics of study participants.
| Classification | Variable, | Frequency ( | Percentage (%) |
|---|---|---|---|
| Study location | Komfo Anokye Teaching Hospital | 198 | 43.7 |
| Agogo Presbyterian Hospital | 121 | 26.7 | |
| Tema General Hospital | 110 | 24.3 | |
| Nigale Memorial Hospital | 24 | 5.3 | |
| Age (years) | 20–29 | 287 | 63.4 |
| 30–39 | 144 | 31.8 | |
| 40–49 | 16 | 3.5 | |
| ≥50 | 6 | 1.3 | |
| Gender | Male | 180 | 39.7 |
| Female | 273 | 60.3 | |
| Profession | Doctor | 121 | 26.7 |
| Pharmacist | 25 | 5.5 | |
| Nurse | 307 | 67.8 | |
| Rank | Junior (1–5 years’ experience) | 243 | 53.6 |
| Senior (≥5 years, but neither specialist nor consultant) | 187 | 41.3 | |
| Specialist | 19 | 4.2 | |
| Consultant | 4 | 0.9 | |
| Area of practice | Immunization clinic | 66 | 14.6 |
| Non-immunization clinic | 387 | 85.4 |
Knowledge of study participants of AEFI.
| Variable, | Frequency ( | Percentage (%) * |
|---|---|---|
| Adverse Events Following Injection | 54 | 11.9 |
| Adverse Events Following Immunization | 378 | 83.4 |
| Abscess Following Immunization | 17 | 3.8 |
| Diseases with outbreak potential | 2 | 0.4 |
| Never heard about it | 2 | 0.4 |
| AEFI is not limited to vaccination only. | 227 | 50.1 |
| AEFI can be caused by reconstituted vaccine stored longer than normal, vaccine reaction, inappropriate route of administration, vaccines stored beyond expiry date or contaminated vaccines. | 317 | 70.0 |
| Skin at injection site should be stretched during IM injection. | 124 | 27.4 |
| Paracetamol and ibuprofen are not used routinely to prevent fever before immunization. | 165 | 36.4 |
| Adrenaline should not be administered by SC route during anaphylaxis following immunization. | 216 | 47.7 |
| Investigation of an AEFI should commence within 24 h. | 282 | 62.3 |
| All injection site abscesses should be reported. | 319 | 70.4 |
| Injection site swelling and redness should be reported. | 263 | 58.1 |
| Treatment of a coincidental illness falsely attributed as a vaccine reaction should not be delayed until investigations are confirmed. | 299 | 66.0 |
| High knowledge (8–9) | 49 | 10.8 |
| Moderate knowledge (5–7) | 213 | 47.0 |
| Low knowledge (<5) | 191 | 42.2 |
| Yes | 76 | 16.7 |
| No | 377 | 83.2 |
| None | 357 | 78.8 |
| 1 | 53 | 11.6 |
| 2 | 28 | 6.2 |
| 3 | 9 | 2.0 |
| More than 3 | 6 | 1.3 |
* Frequencies for detailed knowledge presented here are the ‘yes’ and correct answers for the various questions, whereas the percentages are for the number obtaining a correct mark out of all study participants.
Perceptions of AEFI among healthcare professionals.
| Variable, | Yes (%) * | No (%) * |
|---|---|---|
| Believes reporting an AEFI cannot lead to personal consequences/punishment | 115 (25.4) | 338 (74.6) |
| Believes that reporting an AEFI will not make him/her feel guilty about having caused harm to a vaccinee | 309 (68.2) | 144 (31.8) |
| Believes that HCPs are willing to report an AEFI even when they are not confident about the diagnosis | 226 (49.9) | 227 (50.1) |
| Believes that poor monitoring of adverse events can cause reduction of immunization coverage | 241 (53.2) | 212 (46.8) |
| Believes that the process of reporting an AEFI is not long and tedious | 268 (59.2) | 185 (40.8) |
| Believes that if adverse events are reported, something will be done about it | 235 (51.9) | 218 (48.1) |
| Believes that enhancing surveillance of AEFI can help build public trust in immunization program | 329 (72.6) | 124 (27.4) |
| Desires to learn more about how to diagnose, report, investigate and manage AEFI | 106 (23.4) | 347 (76.6) |
| Believes he/she is busy but can still report AEFI | 201 (44.4) | 252 (55.6) |
| Believes he/she is interested in investigating or reporting AEFI | 316 (69.8) | 137 (30.2) |
* ‘Yes’ answers signify positive perception whereas ‘No’ answers signify negative perception.
Tests of association between AEFI knowledge and study participant characteristics.
| Classification | Variable | Knowledge of AEFI | df | ||||
|---|---|---|---|---|---|---|---|
| High | Moderate | Low | |||||
| Work location | KATH | 24 | 96 | 78 | 9 | 16.017 | <0.0001 |
| APH | 18 | 54 | 49 | ||||
| TGH | 7 | 52 | 51 | ||||
| NH | 0 | 11 | 13 | ||||
| Age | 20–29 | 22 | 149 | 116 | 12 | 14.982 | 0.242 |
| 30–39 | 18 | 57 | 69 | ||||
| 40–49 | 6 | 5 | 5 | ||||
| ≥50 | 3 | 2 | 1 | ||||
| Gender | Male | 12 | 51 | 117 | 9 | 20.645 | 0.006 |
| Female | 37 | 162 | 74 | ||||
| Profession | Doctor | 19 | 61 | 41 | 9 | 13.384 | 0.146 |
| Pharmacist | 3 | 14 | 8 | ||||
| Nurse | 27 | 138 | 142 | ||||
| Rank | Junior | 11 | 143 | 89 | 15 | 15.405 | 0.423 |
| Senior | 27 | 62 | 98 | ||||
| Specialist | 9 | 6 | 4 | ||||
| Consultant | 2 | 2 | 0 | ||||
| Area of practice | Immunization clinic | 37 | 18 | 11 | 6 | 6.703 | 0.349 |
| Non-immunization clinic | 12 | 195 | 180 | ||||
| AEFI acquisition from school | Yes | 36 | 25 | 15 | 12 | 12.864 | 0.372 |
| No | 13 | 188 | 176 | ||||
| Number of AEFI trainings in past year | None | 10 | 176 | 171 | 9 | 11.329 | 0.002 |
| 1 | 16 | 26 | 11 | ||||
| 2 | 14 | 8 | 6 | ||||
| 3 | 5 | 1 | 3 | ||||
| More than 3 | 4 | 2 | 0 | ||||
KATH: the Komfo Anokye Teaching Hospital; APH: the Agogo Presbyterian Hospital; TGH: the Tema General Hospital; NH: the Nigale Hospital.
Summary of binary logistic regression of good perception versus participant characteristics.
| Classification | Variable | Wald | OR (95% CI) | |
|---|---|---|---|---|
| Work location | NH | Reference | ||
| KATH | 6.11 | 2.73 (2.14–3.73) | 0.002 | |
| APH | 10.64 | 5.28 (4.27–5.94) | <0.0001 | |
| TGH | 1.24 | 1.34 (1.02–1.78) | 0.791 | |
| Age (years) | 20–29 | Reference | ||
| 30–39 | 1.13 | 1.57 (1.19–2.68) | 0.529 | |
| 40–49 | 2.76 | 1.09 (0.42–1.95) | 0.081 | |
| ≥50 | 8.32 | 2.63 (1.92–3.54) | 0.247 | |
| Gender | Male | Reference | ||
| Female | 4.68 | 2.35 (2.03–3.42) | 0.006 | |
| Profession | Doctor | Reference | ||
| Pharmacist | 1.26 | 2.03 (1.26–2.49) | 0.382 | |
| Nurse | 5.93 | 1.27 (0.71–1.84) | 0.164 | |
| Rank | Junior | Reference | ||
| Senior | 7.34 | 3.19 (2.38–3.16) | 0.001 | |
| Specialist | 5.17 | 1.82 (1.13–2.24) | 0.263 | |
| Consultant | 10.62 | 1.05 (0.52–1.79) | 0.072 | |
| Area of practice | Non-immunization clinic | Reference | ||
| Immunization clinic | 1.98 | 7.19 (6.25–7.81) | <0.0001 | |
| AEFI knowledge acquisition from school | No | Reference | ||
| Yes | 3.41 | 5.07 (4.39–5.72) | 0.017 | |
| Number of AEFI trainings in the past one year | None | Reference | ||
| 1 | 17.28 | 4.92 (4.23–5.69) | 0.028 | |
| 2 | 22.36 | 6.83 (6.16–7.62) | 0.001 | |
| 3 | 1.53 | 2.1 (1.04–2.36) | 0.319 | |
| More than 3 | 3.07 | 4.32 (3.41–4.73) | 0.087 |
KATH: the Komfo Anokye Teaching Hospital; APH: the Agogo Presbyterian Hospital; TGH: the Tema General Hospital; NH: the Nigale Hospital. Data shown are odds ratios (OR) of variables with 95% confidence interval (CI).